The Kynix Blog

Electrical engineering and electronics traverse many fields of technological innovations and are in the foreground for groundbreaking advancements. Over the years, electrical and computer engineering have pioneered and contributed to developing more streamlined design, development, testing and improved manufacturing processes for frontier-end electronics, devices and equipment. In the strive for streamlining and in pursuit of innovation, the electrical and electronics industry has rapidly edged into the ever-expanding applications of artificial intelligence and machine learning.With the emergence of new technologies such as IoT, artificial intelligence (AI), machine learning (ML) and deep learning, the electronics and electrical industry is adopting and embracing major changes that lead to faster workflows, through optimization, automation and removing redundancies. ML and AI in industrial setups are designed to optimize systems and improve efficiency. This is possible as these systems are equipped with sensors and analytical processes that compute and interpret the data providing useful information.For instance, engineers create networks of interconnected cameras and sensors to guarantee that an autonomous vehicle's AI can "see" its surroundings. They must also make sure that the data is transmitted from these onboard sensors as quickly as possible because any lag in processing might cause a serious mishap.The electrical and electronic industry has seen significant advancements in recent years, with the emergence of artificial intelligence (AI) and machine learning (ML) revolutionizing the way we design, build, and operate electrical systems and devices. AI and ML technologies are increasingly being used to optimize performance, reduce costs, and improve efficiency across a range of applications in the industry. From predictive maintenance and fault detection to energy management and personalization, AI and ML are transforming the electrical and electronic industry in unprecedented ways. This article provides an overview of the role of AI and ML in the industry, examining their applications, benefits, and prospects.To start with let us understand what the terms AI and ML mean and how they are different.What are AI and ML?Artificial intelligence (AI) and Machine learning are often used synonymously although there are some differences between these two terms. To understand AI, it is important to first define what is machine learning and differentiate it from artificial intelligence.Artificial Intelligence is commonly known as AI, which refers to the development of computer systems, embedded systems and logical processing that can perform tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language processing.  For computer systems to learn and mimic human intelligence, they need to learn from a large dataset. For computers to learn from data, adapt to changing settings, and carry out activities that would otherwise require human involvement, artificial intelligence (AI) entails the creation of algorithms, machine learning models, and other approaches. Self-driving cars, voice recognition, image and speech recognition, fraud detection, and many more uses for AI are becoming more prevalent.Machine Learning or ML for short is a basic subset of AI. Basically, it involves the design and development of simple or complex algorithms and models that enable computers to learn from data, make analyses and improve their performance on a task without being explicitly programmed. Machine learning algorithms can learn from a large dataset to identify patterns, correlations and relationships, and then use that knowledge to make predictions or decisions on predictive new data. Machine learning can thus be described as a way of predicting the future based on presented parameters. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. ML is used in a wide range of applications, including image and speech recognition, natural language processing, recommendation systems, and predictive maintenance, among others.Artificial Intelligence and Machine Learning in the Electrical and Electronics IndustryThe term artificial intelligence as used in the electrical and electronics industry generally refers to a variety of systems and technologies built to imitate human intelligence by making decisions and solving related problems. In recent years, engineers and scientists have explored different applications and ways in which AI can be applied in electrical systems.Some of the most common ways in which AI is incorporated into electrical systems and consumer electronics:• Expert systems: Expert systems are a subset of artificial intelligence (AI) systems that employ an inference engine to derive conclusions from a knowledge base containing data on a particular area. If-then rules that are drawn from the knowledge of human subject-matter experts often make up the knowledge base. To offer a solution or suggestion, the inference engine applies these principles to the data or issue at hand. Since the 1970s, expert systems have been utilized for a variety of tasks, including financial planning, technical problem-solving, and medical diagnosis. They have the potential to successfully automate decision-making procedures and lessen the requirement for human expertise in specific jobs. They may not always deliver correct or timely information due to their limits in dealing with complicated or dynamic circumstances.• Fuzzy logic control: Fuzzy logic is a mathematical framework that deals with uncertainty and imprecision, and fuzzy logic control systems employ fuzzy logic to make choices and manage operations. Traditional control systems base judgments on exact numerical values, whereas fuzzy logic control systems base decisions on the degree to which linguistic variables are members of fuzzy sets. In complicated control systems, where it may be challenging to set precise numerical values for every input variable, fuzzy logic control systems are particularly helpful in cases when there is ambiguity or imprecision in the data.• Machine Learning: The creation of algorithms and models for machine learning (ML) enables computers to learn from data and enhance their performance on a job without being explicitly programmed. A huge dataset may be used by machine learning algorithms to detect patterns and correlations, which can subsequently be applied to fresh data to produce predictions or choices.• Artificial Neural Networks: A class of machine learning model known as artificial neural networks (ANNs) is modelled after the structure and operation of biological neural networks in the human brain. Artificial neurons, also known as neurons, are linked nodes that are arranged in layers to form ANNs. Each neuron in the network takes input signals from neighbouring neurons or outside sources, analyzes them using an activation function, and then generates an output signal that is sent to other neurons.• Deep Learning: To train artificial neural networks with many layers and enable them to learn hierarchical representations of the input data, deep learning is a subset of machine learning. Deep learning models are highly suited for a variety of applications, including image and audio recognition, natural language processing, and autonomous systems since they can automatically learn to discover complex patterns and correlations in the data. To alter the weights of the connections between the neurons in the network, deep learning models are often trained using a large dataset and an optimization technique, such as stochastic gradient descent.Application of AI and ML in the Electrical and Electronics IndustryThe design, construction, and use of electrical systems and devices are being transformed by artificial intelligence (AI) and machine learning (ML), which are becoming more and more relevant in the electrical and electronic industries. The industry is being impacted by AI and ML in the following ways:• Predictive maintenance: AI and ML algorithms may be used to identify when electrical equipment is most likely to fail and plan repair, cutting down on both maintenance costs and downtime.• Optimization: AI and ML models can be used to analyze large sets of data and make the decision based on the data. Machine learning algorithms can be used to optimize the performance of electrical systems and devices, ensuring that they are operating at peak efficiency. This optimizes processes, equipment and devices to perform more efficiently.• Fault detection and diagnosis: AI and ML algorithms can be used to detect and diagnose faults in electrical systems, allowing for more accurate and efficient troubleshooting and repair. The process can be based on the information collected by the sensor in systems or by predictive analysis based on previous parameters.• Energy management: Energy management is one of the most vastly used applications of AI due to its ability to compute and make a logical decision in homes and industrial setups. AI and ML can be used to optimize energy consumption in buildings and homes, reducing energy waste and saving money on energy bills.• Design optimization: AI and ML algorithms can be used to optimize the design of electrical systems and devices, improving performance and reducing costs.• Robotics and Automated Assembly: By automating the assembly of electrical components, AI and ML can increase productivity and decrease the need for manual labour. Algorithms can quickly and accurately detect and manipulate electrical components using computer vision and other approaches AI and ML are critical for developing and improving the performance of robots and automated systems used in manufacturing and other industries.• Personalization: Smart bulbs, smart homes and smart devices are based on the idea of customizing and personalizing technology. AI and ML can be used to create personalized electrical devices that adapt to individual user preferences, improving the user experience. These devices operate depending on the preferences of an individual or a particular setting thus making them customizable. • Smart Grid Management: The electricity grid can be managed more effectively with the help of AI and ML. Algorithms can find possibilities to decrease energy waste and suggest modifications to optimize the distribution of electricity by evaluating data on energy consumption trends.• Quality Control: Quality control in the traditional manufacturing process and assembly is a manual process that is often inaccurate and done through sampling. Throughout the manufacturing process, electrical component flaws may be automatically detected using AI and ML. Algorithms may find flaws and eliminate problematic parts by evaluating photos and other data, therefore raising the calibre of the final output.Overall, artificial intelligence (AI) and machine learning (ML) are revolutionizing the electrical and electronic sectors, allowing engineers to create, construct, and use electrical systems and gadgets more successfully and efficiently than ever before.FAQs1.What is the difference between AI and machine learning? AI refers to the broader field of creating intelligent machines that can perform tasks that typically require human intelligence, while machine learning is a subset of AI that involves training algorithms to make predictions or decisions based on data.2.How are AI and ML used in the electrical and electronics industry? AI and ML are used in a wide range of applications in the electrical and electronics industry, including predictive maintenance, process optimization, fault detection and diagnosis, energy management, and smart grid management.3.What are the benefits of using AI and ML in the electrical and electronics industry?The benefits of using AI and ML in the electrical and electronics industry include improved efficiency, increased productivity, reduced downtime, improved safety, and cost savings.4.What are the challenges of implementing AI and ML in the electrical and electronics industry? The challenges of implementing AI and ML in the electrical and electronics industry include the need for large amounts of high-quality data, the complexity of developing and training models, the cost of implementing new technologies, and the need for specialized skills and expertise.5.What are some popular AI and ML techniques used in the electrical and electronics industry? Some popular AI and ML techniques used in the electrical and electronics industry include artificial neural networks, fuzzy logic control systems, deep learning, reinforcement learning, and genetic algorithms.6.What are some examples of AI and ML applications in the electrical and electronics industry? Some examples of AI and ML applications in the electrical and electronics industry include energy demand forecasting, predictive maintenance of electrical equipment, automated fault detection and diagnosis, and optimization of power grids.

Designing and testing your own buck converter allows you to create efficient dc-dc systems tailored to specific needs. Buck converters step down voltage with high efficiency, making them essential in dc to dc applications like switching power supplies and power electronics applications. By understanding their operation, you can optimize performance and reliability. Creating a custom buck converter offers several benefits: Multiphase designs reduce current ripple and improve heat management. For example, a 4-phase setup cuts ripple by four times compared to a single phase.Distributing current across phases lowers conduction losses, enhancing efficiency. Mastering these concepts empowers you to design control circuits that perform well under various conditions. Overview of the Working Principle of Buck Converter How Buck Converters Step Down Voltage Buck converters reduce voltage by leveraging the energy storage properties of inductors. The process begins with a higher voltage source inducing current into the inductor. This rapid current flow stores energy in the inductor's magnetic field. When the source disconnects, the inductor releases the stored energy, providing current to the load at a lower voltage. Think of it like pedaling a bicycle in short, strong bursts. Each burst represents the higher voltage input, while the rolling motion between bursts mirrors the inductor's ability to maintain current flow. This analogy simplifies the concept, showing how the buck converter steps down voltage efficiently. Technical diagrams often illustrate this process in two stages: The switching regulator connects the input voltage to the inductor, rapidly charging it.The regulator disconnects the input, allowing the inductor to discharge and supply current to the load. This cycle repeats at high speeds, ensuring smooth voltage regulation. Core Features and Efficiency of the Buck Converter Buck converters stand out for their high efficiency, often exceeding 90%. This efficiency stems from their ability to minimize energy loss during voltage conversion. Unlike linear regulators, which dissipate excess energy as heat, buck converters use switching elements to transfer energy more effectively. Several features contribute to their performance: Compact Design: Buck converters are small and lightweight, making them ideal for portable devices.Precise Voltage Regulation: The controller IC ensures stable output voltage, even with fluctuating input or load conditions.Wide Application Range: From consumer electronics to electric vehicles, buck converters meet diverse power management needs. Recent industry trends highlight their growing importance: Trend DescriptionImplication for Personal Buck ConvertersAdvancements in semiconductor technologyEnables high-performance converters with enhanced efficiency and reliability.Growing demand for energy efficiencyDrives adoption of synchronous buck converters for superior efficiency.Increasing adoption of electric vehiclesCreates opportunities for efficient power management in automotive systems. By understanding the working principle of buck converters, you can design systems that deliver reliable performance across various applications. Key Components in Buck Converter Design Inductor and Its Specifications The inductor plays a critical role in a buck converter by storing energy and smoothing the current flow. It resists sudden changes in current, ensuring a steady output. When selecting an inductor, you should focus on its inductance value, current rating, and core material. Inductance Value: This determines how much energy the inductor can store. A higher value reduces ripple but may slow the converter's response.Current Rating: The inductor must handle the peak current without saturating. Saturation reduces efficiency and can damage the circuit.Core Material: Ferrite cores are common due to their low losses at high frequencies. Choosing the right inductor ensures stable operation and minimizes energy loss. Capacitors for Filtering Capacitors are essential for filtering and stabilizing the voltage in a buck converter. They reduce input voltage ripple and smooth the output. To achieve this, you should select capacitors with low equivalent series resistance (ESR). Multilayer ceramic capacitors (MLCCs) are a popular choice. They handle ripple current effectively and improve filtering performance. By using MLCCs, you enhance the converter's efficiency and longevity. Increasing capacitance or lowering ESR further reduces input ripple, ensuring stable operation. For example, ceramic capacitors are ideal for their low ESR, which minimizes ripple and supports the converter's performance. Proper capacitor selection directly impacts the efficiency and reliability of your design. Tip: Use a combination of input and output capacitors to optimize filtering and maintain stable voltage levels. Switching Element: MOSFET Selection The MOSFET acts as the switching element in a buck converter. It alternates between on and off states to regulate the voltage. When choosing a MOSFET, you should consider its voltage rating, current rating, and on-resistance (Rds(on)). Voltage Rating: The MOSFET must handle the input voltage without breaking down.Current Rating: It should support the peak current without overheating.On-Resistance: Lower Rds(on) reduces conduction losses, improving efficiency. Modern MOSFETs offer high-speed switching and low losses, making them ideal for buck converters. Selecting the right MOSFET ensures efficient operation and minimizes heat generation. Diode and Its Role The diode in a buck converter ensures current flows in the correct direction during the switching cycle. When the MOSFET turns off, the inductor releases its stored energy. At this moment, the diode provides a path for the current, preventing it from reversing and damaging the circuit. This process is critical for maintaining a smooth output voltage. When selecting a diode, you should focus on its reverse voltage rating, forward voltage drop, and recovery speed. A diode with a high reverse voltage rating can handle the input voltage without breaking down. A low forward voltage drop minimizes energy loss, improving the converter's efficiency. Fast recovery diodes, such as Schottky diodes, are ideal for high-frequency applications because they quickly switch between conducting and non-conducting states. For example, in a typical buck converter, the diode works in tandem with the inductor to regulate the duty cycle. The duty cycle determines how long the MOSFET stays on during each switching cycle. A properly chosen diode ensures the converter operates efficiently across varying loads and input conditions. Tip: Always verify the diode's current rating to ensure it can handle the peak current without overheating. Controller IC: Importance in Regulation The controller IC acts as the brain of your buck converter. It regulates the output voltage by adjusting the duty cycle of the MOSFET. This adjustment ensures the converter delivers a stable voltage, even when the input voltage or load changes. Modern controller ICs come with advanced features that enhance performance. For instance, they minimize switching and gate drive losses, especially during light loads. Features like Burst Mode operation reduce quiescent current, improving efficiency and managing power delivery effectively. These capabilities make controller ICs essential for achieving high efficiency and reliable performance. Performance data from controller ICs highlights their critical role in voltage regulation. This data influences key aspects like efficiency, load handling, and overall system performance. By optimizing the duty cycle, the controller IC ensures smooth operation throughout the switching cycle. When choosing a controller IC, consider its input voltage range, output voltage accuracy, and switching frequency. A higher switching frequency allows for smaller components, reducing the overall size of your converter. Additionally, ensure the IC supports the desired duty cycle range for your application. Note: Some controller ICs include built-in protections, such as overcurrent and thermal shutdown, which enhance the reliability of your design. Step-by-Step Process for Buck Converter Design Determine Input and Output Specifications Start by defining the input and output requirements for your buck converter. These specifications guide the design process and ensure the circuit meets your application's needs. Tip: Always account for worst-case scenarios, such as maximum load current and minimum input voltage, to ensure reliable operation. Calculate Key Circuit Parameters Once you have the input and output specifications, calculate the essential parameters for your buck converter. These calculations help you select components and optimize performance. ParameterCalculationResultDiode VrrmVrrm = VinomVrrm = 24VDiode Forward Current (IF)IF = (1-D).Pomax/VonomIF = 5ACapacitor Voltage Rating (Vcap)Vcap = Vonom + Vopp.Vonom/2Vcap = 12.12VInductor Critical Value (Lc)Lc = (VDC-Vo).ton/2.IominLc = 4.5×10^-5 HChosen Inductor Value (L)L = 1.1LcL = 4.95×10^-5 HMinimum Output Current (Iomin)Iomin = (VDC-Vo).ton/2LIomin = 0.909AESR CalculationESR = ΔVo/ΔILESR = 5.5×10^-3 ?Capacitor Value (Co)Co = (65 x10^-6/ESR) sCo = 0.012F For example, the inductor value determines how much energy the circuit can store during each switching cycle. A higher inductance reduces ripple but may slow the response time. Similarly, the capacitor's ESR affects voltage ripple and efficiency. Note: Use simulation tools to validate your calculations before selecting components. This ensures accuracy and saves time during testing. Select Components for the Power Stage With the parameters calculated, choose the components for the power stage. These include the inductor, capacitors, MOSFET, and diode. Choosing the right components ensures your buck converter operates efficiently and reliably. Tip: Higher switching frequencies reduce the size of inductors and capacitors, saving board space. However, they may increase switching losses, so balance frequency and efficiency carefully. Create a Circuit Schematic Creating a circuit schematic is a crucial step in designing your buck converter. It serves as a blueprint, showing how components connect and interact. A well-drawn schematic ensures clarity and helps you avoid errors during assembly. Start by arranging the key components: the inductor, capacitors, MOSFET, diode, and controller IC. Place the input capacitor near the voltage source to filter noise effectively. Position the output capacitor close to the load to stabilize the voltage. Connect the inductor between the MOSFET and the output capacitor. The diode should link the inductor to the ground, providing a path for current when the MOSFET turns off. Use software tools like LTspice, KiCad, or Altium Designer to draw your schematic. These tools allow you to simulate the circuit before building it. Simulations help you analyze performance and identify potential issues. For example: You can evaluate the transient response to ensure the circuit meets output power demands.Simulations reveal how ripple and damping affect performance, guiding you in selecting the right components.They also help you optimize the design for continuous conduction mode, improving efficiency. Tip: Label all components clearly in your schematic. This makes it easier to troubleshoot and modify the circuit later. PCB Design for your Buck Converter Once your schematic is complete, the next step is to design the printed circuit board (PCB). A good PCB layout is essential for the performance and reliability of your buck converter. Poor layouts can lead to noise, interference, and inefficiency. Follow these best practices for PCB design: When routing traces, keep them as short and direct as possible. Avoid sharp angles, as they can cause signal reflections. Use wider traces for high-current paths to reduce resistance and heat generation. Group components logically to minimize loop areas, which helps reduce electromagnetic interference (EMI). Note: Double-check the placement of critical components like the MOSFET and diode. Their positions significantly impact heat dissipation and efficiency. A well-optimized PCB layout enhances the performance of your buck converter. It reduces noise, improves efficiency, and ensures reliable operation under varying conditions. Testing Buck Converters for Performance Image Source: pexels Testing your buck converter ensures it performs efficiently and reliably under various conditions. This process involves verifying the circuit's functionality, measuring critical parameters, and analyzing efficiency and heat management. Initial System Checks Begin testing by performing basic system checks. These checks confirm that your circuit operates as intended before diving into detailed measurements. Visual Inspection: Examine the PCB layout for soldering errors, misplaced components, or damaged traces. Ensure all connections match the schematic.Power-On Test: Apply the input voltage gradually using a variable power supply. Monitor the circuit for unexpected behavior, such as excessive current draw or overheating.Switching Waveform Verification: Use an oscilloscope to observe the MOSFET's switching waveforms. Verify that the duty cycle aligns with your design calculations. Tip: If you notice irregularities during these checks, disconnect the power immediately and troubleshoot the circuit. Measuring Voltage, Ripple, and Current Accurate measurements of voltage, ripple, and current are essential for evaluating your buck converter's performance. Proper setups and tools minimize noise and ensure reliable results. Voltage Measurement Measure the output voltage using a multimeter or oscilloscope. Ensure the voltage matches your design specifications. For precise readings, use coaxial cables instead of passive probes. Coaxial cables reduce noise by minimizing loop areas and shielding signals effectively. Ripple Measurement Ripple voltage affects the stability of switching regulators. To measure ripple, connect an oscilloscope across the output capacitor. Adjust the settings for precision and averaging. For example, X5R or X7R ceramic capacitors with low ESR and ESL reduce ripple significantly. Smaller ceramic capacitors also provide lower impedance at high frequencies, enhancing performance. Current Measurement Monitor the current flowing through the circuit using a current probe or shunt resistor. Verify that the current stays within the limits of your components, such as the inductor and MOSFET. Callout: Proper measurement setups are crucial. Conventional methods, like using 1MΩ passive probes, may introduce noise and lead to inaccurate readings. Efficiency Analysis and Heat Management Efficiency analysis determines how effectively your buck converter converts input power into output power. Heat management ensures the circuit operates safely without overheating. Efficiency Measurement Calculate efficiency as the ratio of output power to input power. For example, if your converter delivers 10W of output power while consuming 12W of input power, the efficiency is approximately 83%. Use tools like the Moku:Go device to measure power and analyze performance simultaneously. Evidence DescriptionDetailsAnalysis MethodologyThe Moku:Go device is utilized for simultaneous power and analysis.Efficiency MeasurementEfficiency is calculated as the ratio of output power to input power.Ripple MeasurementRipple voltage is measured across a resistor with precision settings.Performance ObservationCapacitor adjustments reduce peak-to-peak ripple voltage effectively. Heat Management Thermal imaging helps identify hotspots in your circuit. For example, thermography-based MPPT methods stabilize output power faster than conventional methods. This reduces fluctuations and improves heat dissipation. MethodTime to Reach MPPOutput Power Stabilization TimeConventional P&O MPPT2.18 sLonger fluctuationsThermography-based P&O MPPT0.68 sStabilizes within 0.33 s To manage heat effectively: Use heat sinks or thermal pads for components like the MOSFET and diode.Optimize the PCB layout to improve airflow and reduce thermal resistance.Ensure the switching frequency balances efficiency and heat generation. Tip: Regularly monitor temperature during operation to prevent thermal runaway and ensure long-term reliability. Debugging and Troubleshooting Steps Debugging a buck converter can seem challenging, but following a systematic approach simplifies the process. When your circuit does not perform as expected, identifying the root cause becomes essential. Here’s how you can troubleshoot effectively: 1. Verify Input and Output Conditions Start by checking the input and output parameters. Ensure the input voltage falls within the specified range. A voltage below the minimum input can cause instability, especially at high duty cycles. Similarly, exceeding the maximum input voltage may damage components. Use a multimeter to confirm these values. Inspect the output voltage. If it deviates from the expected value, examine the load. A mismatched load can lead to irregularities in the circuit's performance. For instance, continuous output current often has a triangular or sawtooth waveform. This allows you to use smaller output capacitors with low ripple. However, discontinuous input current requires larger input capacitors to handle high AC current and ripple effectively. Tip: Always measure voltages and currents at multiple points in the circuit to identify inconsistencies. 2. Inspect the Switching Waveforms Use an oscilloscope to analyze the switching waveforms of the MOSFET. The duty cycle should match your design calculations. Irregular waveforms may indicate issues with the controller IC or parasitic power paths. Parasitic paths can create unwanted power losses, leading to inefficiency or instability. Check the inductor current waveform. A smooth triangular shape suggests proper operation. If the waveform appears distorted, the inductor may be saturating or the switching frequency may be incorrect. Adjust the frequency or replace the inductor if necessary. 3. Examine the Components Faulty components often cause circuit failures. Inspect the MOSFET, diode, and capacitors for visible damage. A damaged MOSFET may fail to switch properly, while a faulty diode can disrupt current flow. Capacitors with high equivalent series resistance (ESR) may fail to filter ripple effectively. Replace any damaged components and retest the circuit. For example, if the diode’s reverse voltage rating is too low, it may break down under high input voltage. Using a diode with a higher rating can resolve this issue. 4. Address Thermal Issues Overheating can degrade performance and shorten the lifespan of your buck converter. Use a thermal camera to identify hotspots. Components like the MOSFET and diode often generate significant heat. If these components overheat, consider adding heat sinks or improving airflow around the circuit. Optimize the PCB layout to reduce thermal resistance. For instance, placing the MOSFET and diode closer to the ground plane improves heat dissipation. 5. Test for Noise and EMI Electromagnetic interference (EMI) can disrupt the operation of your circuit. Use an EMI analyzer to detect noise sources. High-frequency noise often originates from poor PCB layout or inadequate filtering. To reduce EMI, keep high-current traces short and wide. Place capacitors close to the power pins of the controller IC. Adding ferrite beads to the input and output lines can also help suppress noise. 6. Use a Troubleshooting Flowchart A flowchart simplifies the debugging process by guiding you through common failure points. Here are some key checkpoints: Check the minimum input voltage to ensure the circuit delivers the rated output voltage.Monitor the maximum input voltage to prevent damage.Verify that input capacitors handle high AC current and ripple.Ensure output capacitors are sufficient for low ripple and stable operation.Inspect for parasitic power paths that may cause inefficiency. Following these steps ensures a systematic approach to debugging. Callout: Debugging requires patience. Test one change at a time to isolate the problem effectively. By following these steps, you can identify and resolve issues in your buck converter. A well-debugged circuit ensures reliable performance and extends the lifespan of your design. Designing and testing buck converters involves several critical phases. You begin by defining input and output specifications, calculating parameters, and selecting components. Creating a schematic and optimizing the PCB layout ensures efficient operation. Testing verifies performance and identifies areas for improvement. Experimentation and optimization play a vital role in refining your design. Simulations allow you to predict behavior and fine-tune parameters. Studies highlight how advanced methods like IGJO algorithms and multi-stage controllers enhance transient response and efficiency. StudyOptimization MethodPerformance ImprovementSangeetha et al.IGJO algorithm for FOPID tuningEnhanced transient response and robustnessShayeghi et al.Multi-stage PD(1+PI) controller with MOAMinimized ITAE, improved efficiencyIsenFDBRUN for PID, FOPID, TID optimizationImproved transient response and overall performance Thorough testing ensures your buck converter performs reliably under varying conditions. By focusing on voltage regulation, ripple reduction, and heat management, you can create a robust and efficient design. Tip: Treat each design iteration as a learning opportunity. Testing and refining your circuit will help you master the art of creating high-performance buck converters. FAQ What is the ideal switching frequency for a buck converter? The ideal switching frequency depends on your design goals. Higher frequencies reduce component size but increase switching losses. Frequencies between 100 kHz and 1 MHz are common. Choose a frequency that balances efficiency and size for your application. Can I use any diode in my buck converter? No, you need a fast recovery diode like a Schottky diode. It handles high-frequency switching efficiently and minimizes energy loss. Ensure the diode's voltage and current ratings match your circuit requirements. Why does my buck converter overheat? Overheating often occurs due to poor heat dissipation or incorrect component selection. Check the MOSFET's on-resistance, diode's forward voltage drop, and PCB layout. Add heat sinks or improve airflow to manage heat effectively. How do I reduce output voltage ripple? Use low ESR capacitors for filtering. Increase the output capacitance or lower the inductor ripple current. Placing capacitors close to the load also helps stabilize the voltage and reduce ripple. Can I test my buck converter without a load? Yes, but testing with a load provides more accurate results. Use a resistive load to simulate real-world conditions. Gradually increase the load to verify the converter's performance under different scenarios.

Overview: This article examines the fundamental concepts of absorption, stimulated emission, and the intricate working principles of lasers, it also highlights semiconductor lasers and discusses their transformative power across various technologies. Lasers are devices that provide precision to a great extent, making them valuable in various domains such as medicine, manufacturing, communication, and entertainment. From the precise cutting of materials to the delicate surgeries that restore vision, lasers have become an integral part of the technological infrastructure. Understanding the Basic ConceptsAbsorptionAbsorption is a process in which an electron in a lower energy state is excited by a photon of light and jumps to a higher energy state. For absorption, the photon's energy must be equal to the energy difference between the lower and higher energy states, neither less nor more. This process is the initial step toward achieving laser action, which is diagrammatically illustrated in Fig. 1 Fig. 1 Illustration of absorption. Source: Rakesh Kumar, Ph.D. Stimulated EmissionStimulated emission happens when an excited atom in the higher energy state reacts with an incoming photon and descends to a lower energy state, giving off a second photon in the process. The emitted photon’s frequency, phase, polarization, and direction are the same as the incoming photon of light, as shown in Fig. 2. This step is very important and allows for the coherent amplification of light in a laser. Fig. 2 Illustration of stimulated emission. Source: Rakesh Kumar, Ph.D. Active mediumIt can be a gas, liquid, solid, or semiconductor that contains atoms or molecules that can be excited to higher energy levels, as shown in Fig. 3. Fig. 3 Illustration of laser with active medium and optical cavity. Source: Rakesh Kumar, Ph.D.  Optical CavityAs illustrated in Fig. 3, the active medium is placed between two mirrors, forming an optical cavity. One mirror is fully reflective, while the other is partially reflective. The optical cavity allows light to bounce back and forth, amplifying it.Pumping MechanismThere are several ways to supply energy for a laser, including electrical current, flash lamps, or another light source. The pumping mechanism aims to excite the atoms to a higher energy state. When more atoms are in an excited state than in their ground state, it is known as a population inversion. What is a laser?Lasers are devices that emit powerful, highly collimated, monochromatic, and coherent beams of light, as seen in Fig. 4. The acronym is Light Amplification by Stimulated Emission of Radiation. Fig. 4 Comparison of non-coherent and coherent beams of light produced by LED and LASER, respectively. Source: Rakesh Kumar, Ph.D. How does the laser work?A laser is produced when an active medium with abnormally many high-energy electrons placed in an optical cavity is pumped, emitting photons. The cavity acts as a resonator and reflects emitted photons back and forth within the active medium, stimulating more excited atoms to emit photons. This initiates cascaded stimulated emission, amplifying light and stimulating laser emission. The working principle is demonstrated in Fig. 5 Fig. 5 Diagrammatic illustration of working principles of laser. Source: Rakesh Kumar, Ph.D. What is a semiconductor laser?A wide variety of applications commonly use semiconductor lasers. They are made using semiconductor material. The most commonly used active mediums are indium phosphide or gallium arsenide. Usually, they operate in the 1310-nm or 1550-nm region of the spectrum. Semiconductor lasers are compact and have a greater degree of accuracy. Various methods are employed to create optical cavities in semiconductor lasers.CleavingMirrorDiffraction gratingCleavingThe semiconductor material is cleaved and polished on its edges to form mirrors. In contrast, the other method makes use of mirrors or diffraction gratings.Diffraction gratingIt comprises two dielectric materials layered in alternating order, each with a different refractive index. The main role is to reflect some light wavelengths while permitting others to pass through. Laser output can be tuned to the desired wavelength with the help of diffraction gratings, which are effective for selectively reflecting or transmitting light of particular wavelengths.Factors that Determine the Wavelength of Output LaserThe wavelength of the output laser is based on the following parametersThe length of the optical cavity, i.e., the distance between two reflective mirrorsTemperature inside the active mediumThe refractive index of the active mediumInjected electric currentApplicationsThese lasers are especially useful for applications likeSpectroscopyOptical communicationsWavelength division multiplexingEnvironmental sensingGrating demodulationMedical diagnosticsOptical communicationOptical fibers, which have a far higher data capacity than conventional copper cables, transfer data using lasers. Lasers make effective data transfer over great distances with negligible loss of light possible.Wavelength-division multiplexingCurrently, entire globes can be covered by a single fiber-optic fiber carrying numerous wavelengths, with each wavelength channel transmitting high bit-rate digital data. It is defined as Wavelength-division multiplexing (WDM). This procedure is a crucial component of the infrastructure supporting various applications.Environmental sensing and grating demodulationOptical fiber sensing is a technology that measures changes in the physical characteristics of light and efficiently demodulates or decodes the data to determine the extent of the changes brought about by external stimuli. These optical fiber properties are crucial for a variety of sensing applications.There are several ways to demodulate light parameters, but using a tunable semiconductor laser is the most crucial and successful one. Demodulating such signals and accurately identifying the degree of changes requires a tunable laser with a large tuning range, excellent stability, and precise linewidth. Tunable lasers are an indispensable element and are widely utilized in several fields, including air, temperature, pressure, position, biomedical sensors, etc.,Medical diagnosticsLasers provide a wide range of medical applications. Various sensors based on the working principle of laser are invasive procedures used in various surgeries, including eye surgery and removing tattoos, scars, and hair. They can precisely remove tumors and precancerous growths and be used for teeth whitening and removing decay. From bettering communication technologies to advancing medical treatments, lasers have transformed many facets of technology and daily life. They are excellent instruments in various applications due to their accuracy and control. Summarizing the Key PointsLasers play a pivotal role in diverse industries, offering unparalleled precision and versatility in applications ranging from manufacturing to healthcare.Semiconductor lasers, compact and accurate, are widely used, operating in specific regions of the spectrum for various purposes.Optical fiber sensing technology efficiently measures changes in light properties, which is crucial for environmental sensing and data demodulation.Medical diagnostics benefit greatly from laser technology, enabling precise surgeries, tumor removal, teeth whitening, and more.From communication advancements to medical treatments, lasers have revolutionized technology and daily life, showcasing their accuracy and control. ReferenceBruce, Elizabeth. “Tunable Lasers.” IEEE Spectrum, February 9, 2023. https://spectrum.ieee.org/tunable-lasers.Scientized. “How Lasers Work - A Complete Guide.” YouTube, March 26, 2017. https://www.youtube.com/watch?v=_JOchLyNO_w.“Advantages of Semiconductor Laser, Disadvantages of Semiconductor Laser,” n.d. https://www.rfwireless-world.com/Terminology/Advantages-and-Disadvantages-of-Semiconductor-laser.html.

Powerbox introduces two board mounted DC/DC converters to power industrial and railway applications; the extra wide input PQB50U-72S and the ultra-high power density PFB600W-110S. With an unprecedented extra wide input of 12:1 (14V to 160V) the PQB50U-72S delivers 50W in quarter brick packaging, bringing simplicity to power designers addressing EN50155 applications (one unit covering all bus voltages).In full brick packaging, the PFB600W-110S delivers industry’s first 600W unit within a 4:1 input voltage range of 43V to 160V, accommodating 72V, 96V and 110V bus voltages. Both products can be operated from -40°C up to +100°C case temperature, matching very demanding and ruggedized requirements such as in construction vehicles, mining equipment & heavy machinery process control.Demanding Industry and Railway power designers always face challenges to optimize board power solutions when designing standardized equipment for worldwide operation on a very large variety of system bus voltages. In the railway industry, designers are permanently seeking the best power architecture to operate within the overall EN50155 input voltage range, from 24V up to 110V (including continuous operation in the 14.4V brownout condition and 154V transients). To guarantee board power designers the highest level of flexibility, the PQB50U-72S has been developed to deliver full and stable power within an extended input voltage range from 14V up to 160V.In Demanding Industry and the forthcoming Industry 4.0 applications, system designers have to guarantee full performance in a multitude of applications operating from 24V to 72V and fixed industrial battery backup systems using 110V in which the quality of line is often disturbed. In those applications, the PQB50U-72S is designed to sustain high level of line disturbance within a range as low as 14V to a 200V surge. In such environments, the PQB50U-72S guarantees full output performance, simplifying design for systems architects and by having only one power module covering all ranges of input voltage, thus reducing inventory.PQB50U-72S comes in a standardized DOSA quarter-brick package. The module is available in four output voltages (5V/6A ; 12V/4.2A ; 24V/2.1A and 48V/1.05A). The device sustains 200V/100ms surge input voltage, includes short circuit and over-voltage protection, meets UL60950-1-2nd edition basic insulation and meets the EN50155 (EN61373) shock and vibration standard. The unit can be operated from -40 up to +100°C case temperature and has an efficiency of 86%. The PQB50U-72S includes an aluminum baseplate, making it possible to fix a heatsink or mount it directly to a cold-wall or chassis.Used in demanding applications, the PQB50U-72S has an isolation voltage of 3,000VDC (min) between input/output, 1,500VDC input/case and 1,500VDC output to case.“From the early days, board mounted DC/DC converters simplified the design process, whilst shortening the time to market” says Martin Fredmark, VP Product Management. “With the increased demand from Systems Designers to meet a large variety of bus voltages and from Supply Chain Managers to reduce inventory and fewer product-codes, Powerbox has been working on Swiss-knife power solutions, of which the PQB50U-72S and PFB600W-110S are perfect example of products responding to those needs”Part of the railway and industry modernization programs introduce more digital communication, entertainment systems, local computers and radio-communication, requiring higher power board mounted converters, able to operate independently of the system bus voltage, such as the EN50155 input bus voltage (72V, 96V, 110V), industrial 48V while delivering 600W output power.Designed and optimized for railway 110V systems, the new Powerbox PFB600W-110S can be operated from 43V up to 160V input, sustaining 180V/100ms surge voltage. The 4:1 input voltage range makes it easier and simpler for the system designer when developing new equipment for international railway applications.Packaged in an industry standard full-brick, the PFB600W-110S is available in four output voltages (12V/50A ; 24V/25A ; 28V/21.4A and 48V/12.5A) with an output power up to 600W. The PFB600W-110S is fully regulated and operates at a fixed switching frequency of 250 KHz and includes a PI type input filter reducing the input and noise. PFB600W-110S includes current limiting, continuous short-circuit protection, under/over-voltage lockout and an over-temperature protection with thermal shutdown with automatic recovery. For safety, the module complies with the UL60950-1 2nd edition (Basic isolation) has an input/output and input/case isolation of 2,500VDC and 500VDC output/case.For additional power or operational redundancy, the PFB600W-110S can be used in parallel. A paralleling control circuit is included within the product, guaranteeing true load-sharing, without the need to add external components. PFB600W-110S has a typical efficiency of 89% and designed carefully to optimize the thermal dissipation through the baseplate.The product complies with EN50155 (EN61373) shock and vibration standard and environmental EN50155 (EN60068-2-1). PQB50U-72S and PFB600W-110S meet CE Mark 2004/108/EC requirements.Reference:DS1200DEZ1582CM-2.5SC2608AS  

By combining 3D holographic lithography and 2D photolithography, researchers from the University of Illinois at Urbana-Champaign have demonstrated a high-performance 3D microbattery suitable for large-scale on-chip integration with microelectronic devices."This 3D microbattery has exceptional performance and scalability, and we think it will be of importance for many applications," explained Paul Braun, a professor of materials science and engineering at Illinois. "Micro-scale devices typically utilize power supplied off-chip because of difficulties in miniaturizing energy storage technologies. A miniaturized high-energy and high-power on-chip battery would be highly desirable for applications including autonomous microscale actuators, distributed wireless sensors and transmitters, monitors, and portable and implantable medical devices.""Due to the complexity of 3D electrodes, it is generally difficult to realize such batteries, let alone the possibility of on-chip integration and scaling. In this project, we developed an effective method to make high-performance 3D lithium-ion microbatteries using processes that are highly compatible with the fabrication of microelectronics," stated Hailong Ning, a graduate student in the Department of Materials Science and Engineering and first author of the article, "Holographic Patterning of High Performance on-chip 3D Lithium-ion Microbatteries," appearing in Proceedings of the National Academy of Sciences."We utilized 3D holographic lithography to define the interior structure of electrodes and 2D photolithography to create the desired electrode shape." Ning added. "This work merges important concepts in fabrication, characterization, and modeling, showing that the energy and power of the microbattery are strongly related to the structural parameters of the electrodes such as size, shape, surface area, porosity, and tortuosity. A significant strength of this new method is that these parameters can be easily controlled during lithography steps, which offers unique flexibility for designing next-generation on-chip energy storage devices."Enabled by a 3D holographic patterning technique—where multiple optical beams interfere inside the photoresist creating a desirable 3D structure—the battery possesses well-defined, periodically structured porous electrodes, that facilitates the fast transports of electrons and ions inside the battery, offering supercapacitor-like power."Although accurate control on the interfering optical beams is required to construct 3D holographic lithography, recent advances have significantly simplified the required optics, enabling creation of structures via a single incident beam and standard photoresist processing. This makes it highly scalable and compatible with microfabrication," stated John Rogers, a professor of materials science and engineering, who has worked with Braun and his team to develop the technology."Micro-engineered battery architectures, combined with high energy material such as tin, offer exciting new battery features including high energy capacity and good cycle lives, which provide the ability to power practical devices," stated William King, a professor of mechanical science and engineering, who is a co-author of this work.   

Overview: This article explores how the smart grid, with its IoT-based transactions, can help address energy challenges in the 21st century. Learn about the role of renewable power generation and electrical grid infrastructure in energy conservation.  "Smart Grid" (SG) refers to the upgraded electrical grid that was made possible by advances in communication and sensor technology. Developing smart grid infrastructure is one of the solutions to many problems regarding energy conservation.Challenges in Energy TransactionsThere is an increase in the amount of energy produced by solar and wind sources. Additionally, there are new loads, such as electric vehicles, heat pumps, smart residential cities, commercial and industrial usage, infrastructure, substations, etc. Due to these characteristics, additional technological challenges, notably the unpredictability of solar, wind, and electric vehicle charging stations, represent a significant challenge in the process of distributing energy, which is a critical issue.  Energy demand has been rising rapidly due to the expansion of industries and population density. To prevent an energy crisis in the future, attention is being paid to energy consumption. Due to a lack of dependability, efficiency, security, seamless connectivity, etc., conventional electrical energy and networks would not be able to meet the needs of the industry in the 21st century. As a result, many new technologies (including communication and sensors) have developed to offer the features listed above.Evolution of Internet of EnergyThe Internet of Things (IoT) has evolved due to the expansion of heterogeneous networks and smart devices, enabling all networks and devices to interact with one another and create communication links with one another. The Internet of Things will be very helpful in the smart grid because it manages numerous components and seeks to give users the best possible energy.  The Internet of Things (IoT) is becoming more popular in smart grids under the "Internet of Energy" (IoE). To deliver the best energy and share relevant data among the numerous entities connected to the grid, smart grid technology uses all newly developed communication technologies and creates a completely connected network. A major problem has been the administration of enormous amounts of real-time data and its integration.  In contrast to the Internet of Things, the Internet of Energy is one of the most recent approaches to addressing issues like uninterruptible services, optimal use, etc. This article describes how the smart grid will use the Internet of Things to manage energy effectively. This also discusses how communication technologies integrate various smart grid components, infrastructure entities, substations, electric vehicles, etc. Advantages of Internet of Energy-based Smart GridsThe Internet of Energy enables optimal power distribution to all grid-connected devices and information sharing inside the grid network. Energy management, electric vehicle integration, and network integration will all be crucial in smart grids. Vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technology have established a road to deal with the integration. With this technology, automobiles can communicate data with infrastructure about their state of charge (SOC), battery life, and condition, in addition to receiving the best possible energy supply. Due to the rapidly expanding energy consciousness, a dependable system that can deliver high-quality energy with optimal output and a sustainable backup system is required. This is why the smart grid is so unique because of the way it became linked to the bidirectional network system. The multi-agent system (MAS) will be employed in industries to manage the smart grid without human interaction. The software component known as the multi-agent system is responsible for gathering and delivering necessary data throughout the network. Challenges in SecurityThe effective formation of communication between entities aids in the handling of the massive amount of real-time data using reliable, secure encryption techniques. Only permitted entities should be able to manage network data exchange. Data management and security will become important challenges while dealing with a large volume of data and powering every device connected to the grid. The grid network will be more vulnerable to cyberattacks, which might cause individual components and the network as a whole to malfunction.  It results in the flow of incorrect information between entities and end users. Therefore, it is necessary to give the grid high security. Strong protocols (including encryption and decryption), anti-malware software, and highly secure network management protocols are required for high security.Features of Internet of EnergyThe smart energy infrastructure shown in Fig. 1 is a networked system comprising loads, energy metering units, energy storage devices, and automated and centralized distribution systems. Power and energy distribution across the network is the Internet of Energy’s primary goal, and it also enables information sharing with all linked devices. It deals with the security and management of real-time data. Cloud and edge-based systems are fully necessary for implementing the "Internet of Energy" concept.  Open-source interfaces are necessary for creating customer-specific applications to make the Internet of Energy quick and effective. The cloud-based application system at the power grid substation compares the actual target with the current target demand. It offers services like security management and power delivery to remote locations. The substation-connected assets were tracked, examined, and shared using the Internet of Energy.  Once the data analysis process is complete, the appropriate entity will permit the necessary steps, transforming the power plant and smart grid from a traditional into a virtual system. The advanced distributed energy management system's use of technology improves the effectiveness of power usage. Utilizing appropriate optimization techniques at various levels maximizes output while lowering costs, boosting profitability, improving dependability, and incorporating more renewable resources into the smart grid network.  The administration of smart meters, grid analytics, sub-station devices, low voltage outage management systems, and distributed energy resource management systems are some advanced applications integrated with the Internet of Energy. By integrating real-time data and devices into the digital world, smart grids offer quick and safe transport of information and power. Fig. 1. Internet of Things-based efficient energy transactions at the grid and charging stations. Source: IET Renewable Power Generation Summarizing the Key PointsThe use of Internet of Things-based efficient energy transactions is crucial in addressing the challenges faced by conventional electrical energy and networks in meeting the demands of the industry in the 21st century.The Internet of Things has played a significant role in the evolution of the electrical grid, enabling all networks and devices to interact with one another and create communication links.The Internet of Things-based efficient energy transaction can help prevent an energy crisis in the future by ensuring that energy demand is met efficiently and securely.The Internet of Energy is becoming more popular in smart grids as it seeks to give users the best possible energy by managing numerous components and providing uninterruptible services.The administration of enormous amounts of real-time data and its integration has been a major problem in smart grids, which can be addressed using Internet of Things-based efficient energy transactions. This blog post is part of a full research article from IET Renewable Power Generation. The featured image is courtesy of Midjourney.