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Challenges in State of Charge Estimation of Lithium-Ion Batteries - Part 1

Overview: This article provides an in-depth analysis of the challenges in state of charge estimation for lithium-ion batteries in electric vehicle applications. Additionally, the article explores the impact of thermal stability on battery performance. An important parameter of a battery management system is the state of charge (state of charge), which indicates the remaining battery charge. Furthermore, for effective electric vehicle operation, a precise and reliable state of charge estimation is greatly important. The two main approaches to assessing the state of charge that have been around for a while are data-driven and model-based. The background process information is used to construct model-based state of charge estimate methodologies, which are also called white-box models. The conventional method, which is based on models, is capable of solving many problems, particularly in the engineering arena. Conversely, the emergence of large amounts of data and powerful computers has made relatively new ways to estimate the state of charge that are data-driven possible. Data-driven approaches, sometimes called black-box models, rely on real-world observations without understanding the underlying mechanisms. CatalogHow difficult is it to estimate a battery's state of charge?Lack of AccuracyEffects of Charging MethodsThermal StabiltyRole of Battery capacitySummarizing the Key PointsReference How difficult is it to estimate a battery's state of charge?However, there are a lot of variables that affect state of charge estimation, including battery age, ambient temperature, and many other factors, making it a complicated procedure. Improving algorithm robustness, accuracy, and computational complexity at a low cost is the main target for state-of-charge estimation of lithium ion batteries. It will enable the method to be implemented in low-cost battery management system hardware. The goal is to identify an effective state of charge algorithm that can balance compactional complexity and accuracy. Typically, a variety of sources contribute to state of charge error generation, such as current and voltage sensors, erroneous battery models, the initial state of charge, and incorrect parameter choices made during optimization. Consequently, the development of a technology with low causes of state of charge errors is required. This Part 1 article discusses some of the main problems and difficulties. Lack of AccuracyHundreds of cells coupled in series or parallel make up the lithium-ion battery pack in an electric vehicle, which satisfies the need for high voltage and energy. The state of charge estimation of the lithium-ion battery pack is still hard to track and difficult to monitor. Because of the physical changes brought about by repeated cycles of charging and discharging, each battery cell in a lithium-ion battery pack exhibits an inconsistent state of charge. The state of charge divergence demonstrates that manufacturing techniques and tolerances, material flaws that arise under various working conditions, and aging battery cells are all factors in different battery cell performance. The state of charge imbalance within the lithium-ion battery pack, which rarely provides reliable information, affects power, energy computation, and lithium-ion battery safety systems. To solve the state-of-charge balancing issue, a number of techniques have been developed recently, such as cellCalculation-based methodsScreening process-based approachesBias correction methods Effects of Charging MethodsIn recent years, the lithium-ion battery charging strategy has drawn a lot of attention for electric vehicle applications. Developing fast electric vehicle charging technology is challenging. The lithium-ion battery's lengthy charging process may make people less interested in electric vehicle adoption as a whole. Conversely, rapid charging techniques that rely on charging current acceleration produce heat, which has a negative impact on battery longevity. Therefore, it is a difficult task to design an efficient charging strategy that maintains a fair balance between heat, lifespan deterioration, and charging efficiency. The battery's state of charge assessment is significantly impacted by the charging procedure. Estimating the state of charge mostly depends on the battery's condition, which is highly dependent on the charging procedure. Thermal StabiltyIn order to increase electric vehicle performance and acquire the correct state of charge, more research is necessary to address the major problem of state of charge estimation under high temperatures. The most typical causes of thermal runaway are heat, mechanical, or electrical misuse. Mechanical abuse in the form of penetration or collision is what causes a short circuit. Exothermic reactions, lithium plating, and overcharging are the main causes of electrical abuse. Ineffective thermal management and high temperatures are the root causes of heat abuse. An increased number of charge/discharge cycles causes thermal runaway. There is a layer called the solid electrolyte interface (SEI) that forms on top of the anode materials in lithium-ion batteries when the electrolyte breaks down. Table 1 shows the impact of thermal runaway on various types of lithium-ion batteries. When the temperature rises above 90°C, the solid electrolyte interface layer, negative electrode, and electrolyte begin to decompose. Table 1: Effect of thermal runaway on various types of lithium-ion batteries. Source: IEEE AccessTemperatureEffects90-120°C● Solid electrolyte interface starts decomposing● Heat releases● Temperature risesAbove 120°C●  Electrolyte and lithium react● Solid electrolyte interface cannot cut off the contact between the anode and the electrolyte.Above 150°C● LiCoO2 breakdown, releases oxygen● Separator begins to melt and blockAbove 160°C    LiNi0.5Co0.15Al0.05O2 breakdown, release oxygenAbove 200°C● Electrolyte decomposition● Flammable gases● Safety valve opensAbove 210°C    LiCoxNiyMn2O2 breakdown, releases oxygenAbove 265°C    LiMn2O4 oxidated, releases oxygen300°C● Temperature rises sharply● Fire● Thermal runawayAbove 310°C●  LiFePO4 breakdown, releases oxygen However, as seen in Table 1, because of its restricted exothermic heat discharge, LiFePO4 exhibits superior thermal stability compared to other lithium-ion battery materials. Role of Battery capacityThe battery's active material begins changing at the rate of discharge, causing capacity loss. When the internal impedance of the battery goes up, on the other hand, the working voltage and power rate capability go down. With capacity and power fading, state of charge error rates rise. As demonstrated in Fig. 1, there is a link between temperature and capacity fade, where the maximum charge storage capacity begins to decrease when the temperature increases by 45°C. Fig. 1 The relationship between battery charge storage capacity and temperature. Source IEEE AccessFurthermore, it has been shown that capacity decreases as the aging cycle progresses. Similar results also appear where it is observed that when temperature increases from 37°C to 55°C, capacity fades from 40% to 70%. As advised by the manufacturer, capacity loss is also observed in batteries when the voltage is raised above the threshold value. Summarizing the Key Points●State of charge estimation and thermal stability are critical factors in the performance and safety of lithium-ion batteries in electric vehicles.●Challenges in state of charge estimation include factors such as battery age, ambient temperature, and manufacturing variations.●Advancements in data-driven and model-based approaches offer potential solutions for accurate state of charge estimation.●Thermal stability issues, such as thermal runaway and capacity fading, significantly impact battery performance and safety.●Techniques for state-of-charge balancing and efficient charging strategies are essential for enhancing electric vehicle battery performance.●Continued research and development are necessary to improve the accuracy and reliability of state of charge estimation and thermal management for lithium-ion batteries in electric vehicles. ReferenceHow, Dickson N. T., M. A. Hannan, M. S. Hossain Lipu, and Pin Jern Ker. “State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review.” IEEE Access 7 (2019): 136116–36. https://doi.org/10.1109/access.2019.2942213.
Rakesh Kumar, Ph.D. On 2023-12-29   76
General electronic semiconductor

Electric Vehicle Vulnerabilities - Risks and Solutions

Overview: This article explores the potential risks associated with cyber attacks on electric vehicles and provides solutions for protecting both in-vehicle and external network vulnerabilities.One of the key technologies that has helped society achieve its high decarbonization and sustainable energy targets over the last decade has been electric vehicles (EVs).What are the elements that make electric vehicles susceptible to security breaches?Efforts are being made to standardize cyber-physical interfaces for both residential and commercial electric vehicles, as these vehicles are prone to vulnerabilities and have social costs.This article examines electric vehicle vulnerabilities resulting from:In-Vehicular VulnerabilitiesController Area Network BusController Area Network (CAN) is a peer-to-peer system that works on an isolated trust model. If an attacker gets into the CAN bus or even just one electronic control unit, they can completely control how the electric vehicle works because the CAN bus security architecture is not protected against malware being put into it.To pursue a desired harmful goal, an attacker with full control could alter, eavesdrop, reverse engineer, spoof, or replay the CAN communications.Every peer that is connected to the CAN bus, such as an electronic control unit or peripheral device, receives messages sent by these devices.Furthermore, in order to minimize memory costs and ensure a prompt transfer of the information, the CAN bus message is neither authenticated nor encrypted. This is critical for time-sensitive electronic control units like the brake control unit.Sending and receiving peer IDs are not included in a message that is sent over the CAN system. Instead, it is sent according to its arbitration ID, which indicates the priority of the message. Due to its low bandwidth, the CAN bus cannot support complex and computationally demanding encryption.On-Board Diagnostic PortFrom this angle, the attacker's main task is to damage the CAN bus. The (on-board diagnostic port) OBD2 port of the CAN bus has been the focus of extensive investigation and has been designated as a critical access point to the CAN bus due to its sizable infiltration surface made possible by both physical and remote vulnerabilities.Many times during an electric vehicle's lifetime, third parties like a mechanic during vehicle maintenance, a valet while parking, and a charging station helper can physically access the OBD2 port.Furthermore, smartphone applications such as the Open Vehicle Monitoring System (OVMS) that are connected to a cellular network or a wireless short-range network can compromise the OBD2 port. Thus, the apps enable remote monitoring and management of the electric vehicle's parts and functions.There have been reports of similar vulnerabilities in FlexRay, LIN, and MOST. If the LIN and MOST were broken into, they would not allow the key attacks listed above. This is because they are not as vulnerable as the CAN and FlexRay. This is so because the LIN is less exposed to external EV networks and the MOST network is limited to non-critical ECUs like the in-vehicular infotainment system.Tire Pressure Monitoring System Another in-vehicular attack vector is the Tire Pressure Monitoring System (TPMS). The technology is susceptible to hacks, which might compromise electric vehicle security and privacy. The tire pressure sensors transmit unencrypted signals; their identification is static 32-bit strings, and their messages lack authentication.Attackers can overhear, reverse engineer, and spoof communications with an electric vehicle within 40 meters because of these security weaknesses. False data injections into the electric vehicle in-vehicular infotainment system and remote tracking of the electric vehicle are the outcomes of the attack.External Network VulnerabilitiesPhysically Accessible PortsIn addition to the OBD2 connector, there are other physical interfaces that are connected and can be utilized to control the electronic control units and external cyber layer. It includes things like USB ports, SD card ports, CD/DVD drives, headphone connectors, touchscreens, and optical media readers.For the in-vehicular infotainment system's software updates, smartphone charging, media playback, and human interface, these ports are frequently physically accessed. When malicious devices are placed into these ports, an attacker can use them to introduce persistent malware into the in-vehicular infotainment system, start a denial-of-service attack, and even act as a side-channel access point to interfere with the operation of other electronic control units.An electric vehicle may come into contact with such a malicious device at several stages of its maintenance and supply chain.Internet Service PortalsThe in-vehicular infotainment system has wireless interfaces (like Bluetooth) for interacting with cellphones in addition to USB connections. Despite being short-range, this pairing is susceptible to cyberattacks.This flaw gives an attacker the ability to infect the in-vehicular infotainment system with malware, prevent its service from working, and take control of smartphones and in-vehicular infotainment data.Malicious smartphone apps that are mirrored in the in-vehicular infotainment dashboard also present data integrity risks to the in-vehicular infotainment system and side-channel threats to the CAN bus.When electric vehicle drivers use different third-party smartphone applications for electric vehicle charging station locating and remote electric vehicle monitoring and control, these vulnerabilities probably present security problems. Moreover, third-party programs that have been installed on the in-vehicular infotainment system may be dangerous or vulnerable to attack.Electric Vehicle Charging StationAn electric vehicle typically connects to an electric vehicle charging station using a CAN bus or the Power Line Communication's wired communication layer. This communication protocol, ISO 15118, is susceptible to cyberattacks.ISO 15118 governs the connection between an electric vehicle and an electric vehicle charging station but does not include any security measures like message certification or end-to-end encryption. It could allow a remote attacker to intercept, alter, and fake the electric vehicle charging message.Radio StationsRemote cyberattacks like spoofing and jamming can affect GPS signals, allowing attackers to supply erroneous geographical information and potentially disable the navigation system in electric vehicles.Long travel distances cause the GPS signals to be relatively faint; as a result, the GPS receiver prefers the attacker-generated stronger signals. Similarly, signals sent to an electric vehicle radio by FM radio stations are susceptible to malware injection and remote spoofing attacks.Road-Side Infrastructure and VehiclesIntelligent and autonomous transportation advancements necessitate the wireless communication of vehicles. The vehicles and roadside units (RSUs) in this futuristic communication architecture, known as the vehicular ad-hoc network (VANET), are connected through LANs or cellular networks.For improved safety, comfort, and efficiency when driving and routing, vehicles communicate with roadside units and other vehicles regarding information on road conditions, traffic, accidents, and vehicle position and speed. Nevertheless, these interfaces make the vehicles' data integrity and privacy more vulnerable to attacks from other networks and devices.By imitating the presence of several virtual vehicles in the network, an attacker may, for instance, conduct a Sybil-type attack on VANET. These fake vehicles have the ability to disrupt the network or propagate false information to roadside units and other linked cars.Original Equipment Manufacturers/VendorsThe original equipment manufacturer and outside suppliers must access electronic control units to provide security patches and software updates. Traditionally, the OBD2 and USB connections have been used to connect actual dongles and USB flash drives for this purpose.These conventional techniques are therefore susceptible to supply chain and maintenance intrusions. Currently, in order to get around the obstacles and expenses related to physical delivery, OEMs and third-party providers are moving to wireless updates.Updates are provided as code or data pictures together with metadata that includes authentication information. As a result, man-in-the-middle cyberattacks, in which an attacker can remotely spy, reject, and modify the update, are possible with wireless software upgrades. An illustration of the multi-level, cyber-physical nexus of electric vehicles, electric vehicle charging stations, and the power grid is shown in Fig. 1.Fig. 1 A schematic diagram of the multi-level, cyber-physical nexus of EVs, EVCSs, and the power grid Source: IEEE AccessSummarizing the Key PointsThe article discusses vulnerabilities in the Controller Area Network bus, Tire Pressure Monitoring System, and other physically accessible ports.ReferenceAcharya, Samrat, Yury Dvorkin, Hrvoje Pandzic, and Ramesh Karri. “Cybersecurity of Smart Electric Vehicle Charging: A Power Grid Perspective.” IEEE Access 8 (2020): 214434–53. https://doi.org/10.1109/access.2020.3041074.
Rakesh Kumar, Ph.D. On 2023-11-29   107
Power

Building a Sustainable Energy Future - Smart Grids and Renewables

Overview: This article explores the integration of smart grids, renewables, and communication technologies in the energy sector. It highlights the importance of energy storage systems, home energy management, and electric vehicles. The incorporation of a "smart grid" into today's electrical infrastructure is essential. Notable studies in the field of smart grids that relate to the Energy Internet can be broken down into the various subfields that will be covered below.Home Energy ManagementWith the aid of home energy management systems, the consumer can monitor the energy usage of each appliance in their home and make changes as necessary. The Energy Internet can be managed and operated by household energy cells through a home energy management system. Traditional energy infrastructure typically sends customers monthly bills detailing their energy consumption. The Energy Internet's home energy management systems offer a wealth of data, including consumption data, electricity generated locally via rooftop solar PV, current market rates, and storage capacity, all in real-time. Smart home energy management systems are built on a foundation of connected appliances, controls, networks, and displays. Home energy management systems provide feedback on energy use and other smart features. Consumers can make choices about their energy usage via in-home displays. For instance, Smarter Homes is a company that installs home energy management technologies to control solar rooftop PV, storage devices, and home appliances through the use of the internet of things and consumer electronic devices like iPads and Amazon Alexas. Energy management systems for the home make it easier to connect energy storage to the home's electrical network. An effective home energy management system is necessary for the envisioned energy internet to enable extensive energy trade.The Concept of Vehicle-to-Grid (V2G)Rechargeable batteries and an electric motor provide the power for plug-in electric vehicles. An energy port installed in a home or public space supplies power to a rechargeable battery. If electric vehicles are managed in a distributed fashion along with other electrical loads, they can play an important role in the demand-side management of the smart grid. When compared to stationary energy storage devices, electric vehicles have the distinct advantage of portability, as they can be driven from one location to another. Therefore, vehicle-to-grid and grid-to-vehicle initiatives can't be carried out without the widespread adoption of electric vehicles. Range anxiety is the key factor in determining how many people will sign up for vehicle-to-grid programs. Thus, even in developed nations, the rate of adoption of electric vehicles is low. But from the perspective of the power grid, vehicle-to-grid provides a variety of useful ancillary services, such as peak load management and voltage and frequency regulation. Even privately owned electric vehicles parked in a parking lot can contribute significantly to grid power during periods of inactivity with minimal disruption to the owner. Despite these advantages, people still have doubts about vehicle-to-grid. A lack of knowledge about vehicle-to-grid technical aspects is cited as the cause of this doubt. Policy-wise, many nations lack a well-developed plan for vehicle-to-grid. On the technological side, researchers are focusing on planning the distribution infrastructure to incorporate vehicle-to-grid and planning the vehicle-to-grid infrastructure to optimally operate the distribution network.Renewable Energy Integration into Grid and Distributed GenerationWith the help of a smart grid, renewable energy sources can be easily incorporated into power transmission and distribution systems. Due to the high cost of extending the power grid to rural areas, the electrification process in many countries is on hold. Research into completely independent island energy systems has been going on for a long time. The decentralized storage systems can guarantee a safer energy supply than large centralized systems. Such a system can use V2G technology to take advantage of renewable energy's full potential while also regulating peak demand. Surprisingly, the incorporation of renewable energy can resolve the challenging energy-water nexus that island nations face. For these countries, going from a state of "full input of energy and water" (FIEW) to "zero input of energy and water" (ZIEW) means they can stop relying on the mainland for their energy and water needs. The decarbonization of centrally managed energy systems and the installation of distributed energy systems with renewable energy as their main source are accelerating the transformation of the energy landscape. Based on the basic principle of incorporating distributed energy sources, controllable loads, and storage devices, the concept of a micro-grid has emerged. However, due to the fluctuation and interruption issues of renewable energy systems, managing distributed energy sources in the microgrid is a challenging task. Multi-agent-based approaches are able to handle such complexities. Distributed generation has many benefits, including efficiency gains, reduced carbon emissions, and the delaying of costly transmission line upgrades and expansions. The numerous economic, technological, and environmental advantages of distributed generation have led to its widespread acceptance as the future power paradigm. Additionally, unlike large traditional grids, distributed energy systems that are connected to small-scale generators can respond more quickly and effectively to changes in load curves. So, one of the primary goals of ongoing smart grid research and development activities is to better integrate distributed generation resources into the grid.Energy Storage SystemsFaster adoption of renewable energy sources and smart grids relies heavily on electric power storage facilities. Because of their high price and low efficiency, traditional energy storage systems were not particularly useful, relevant, or functional. It is crucial to take advantage of renewable energy generation and storage in order to set up a fully functional and optimized dynamic grid. The development of these industries requires the formulation of a crucial set of financial and regulatory policies. Devices that store and release energy can meet peak power demands without using additional, costly forms of generation. In addition, storage devices can play a crucial role in enabling cost-effective, efficient, and environmentally friendly operation of the distribution network by offsetting the demand and supply mismatch.Communication TechnologiesThe term "advanced metering infrastructure" (AMI) refers to the combination of "smart" meters, "communication networks," "meter data management systems," "software platforms," and "user interfaces". Through AMI, the utility and the end-user are able to have a two-way interaction about the end-user's energy consumption as well as the utility's price signals and load-control signals. The evolution of the smart grid’s communication technology is shown in Fig. 1.Fig. 1: Smart Grid Evolution Source: IEEE AccessThe data is sent to a centralized server, where it is stored and processed. Therefore, there must be a means of communication established that allows for the free flow of data. The information exchange channel is two-way communication. The utility's capacity for asset maintenance, energy demand management, and energy planning can all be managed through two-way communication. It is anticipated that AMI will become "smarter" in the future. It is predicted that in the near future, consumers will opt for Artificial Intelligent Meters (AIMs) that can regulate their power usage independently, irrespective of external signals. AIM also reduces the amount of human involvement in particular decision-making processes. With computational power and channel bandwidth being limited factors, it is difficult to provide a lightweight communication architecture for the transmission of big data that can quickly respond to network congestion and management requirements. As a result, many different algorithms for transmitting large amounts of data are currently under development.Summarizing the Key PointsSmart grid research aims to integrate distributed generation resources into the grid for improved efficiency and functionality. Energy storage systems are crucial for the adoption of renewable energy sources and the optimization of the dynamic grid. Electric vehicles have the advantage of portability and can contribute to the grid through vehicle-to-grid initiatives. Range anxiety and lack of knowledge hinder the widespread adoption of electric vehicles and vehicle-to-grid programs. Communication technologies play a vital role in enabling the flow of data and information exchange in the energy sector. Advanced metering infrastructure (AMI) enables two-way communication between utilities and end-users for efficient energy management. Artificially Intelligent Meters (AIMs) are predicted to become smarter, reducing human involvement in decision-making processes.ReferenceJoseph, Akhil, and Patil Balachandra. “Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems.” IEEE Access 8 (2020): 215787–805. https://doi.org/10.1109/access.2020.3041031.
Rakesh Kumar, Ph.D. On 2023-07-13   115
Robots

How Electric Motors Work in Electric Cars

In recent years Electric cars have gained remarkable popularity as a more feasible alternative to the common combustion engine vehicles. There are many reasons why people are showing interest in these vehicles because they are producing less pollution and are environmentally friendly.Rather than the local petrol engine Electric cars uses an Electric Motor. When you drive an Electric car you can almost make no difference with the other gasoline cars. While driving Electric cars, the only thing that strikes you with its true nature is that it is almost silent. EV Electric VehiclesElectric vehicles also known as EVs, do not require IC engines to operate. Instead of local and basic gas engines an Electric motor is used in an Electric car. The controller is a device that provides energy to the motor. When the driver presses the accelerator pedal the controller regulates the power and hence Electric Motor gets energy.  The Energy in these cars is stored in batteries that are rechargeable. These batteries can easily get charged by local home electricity. Electric cars use the energy stored in Rechargeable batteries which are then recharged by common electricity used in our homes. These EVs move on roads without burning fuel and producing pollution and toxic gases.   How do Electric Vehicle Works?Just like the automatic cars Electric vehicles also have reverse and forward modes. When you start the vehicle and press the accelerator, the power received is in DC. For the Motor to run the power has to be converted from DC to AC. When the accelerator pedal is pressed a wave or an indicator is sent to the controller. Then the controller adjusts the speed of the vehicle according to the signal strength. When the brake pedal is pressed, the motor acts like an alternator and produces energy, which moves back to the battery. How Does an Electric Motor Work?Electric Motor is a device that converts electrical energy into mechanical energy is known as Electric Motor. This mechanical energy produces rotational motion. Unlike combustion engines that rely on burning fuel, electric motors utilize the power of magnets and electromagnetism to produce motion. The electric motor is basically based on the principle of “Ampere’s Law”,For understanding an electric motor, you first need to understand the components of an electric motor. First, we need to understand two major parts of an Electric Motor.StatorRotorThe motor of an Electric car works on a physical process. When the current passes through the fixed part of the motor known as the stator it produces a magnetic field which makes the rotor rotate. Components of Electric Motors:a. Stator:Stator is one of the major parts of an electric motor which is static and it consists of a series of copper coils stacked together. So, when an electric current travels through these copper coils it generates a magnetic field.b. Rotor:Moving or rotating part of the Electric Motor is called Rotor. It consists of permanent magnets. When the electric current passes through the stator, the magnetic field produced combines with the rotor, which causes the rotor to rotate.c. Bearings: Electric motors incorporate bearings to facilitate smooth rotation of the rotor. These bearings reduce friction and allow the motor to operate efficiently. Types of Electric Motors in Electric Cars:Electric Cars use different motors but the two most essential types of electric motors are:DC motors.AC motors.a) DC Motors:Direct Current (DC) motors have a simple design and are commonly found in smaller electric vehicles. They work by passing current through a coil of wire, called the armature, placed within a magnetic field. When current passes in the motor it first passes through the armature, where it produces a magnetic field. The magnetic field interconnects with the static magnetic field, causing the armature to rotate. This rotational motion is then transferred to the wheels, which then allows the vehicle to move forward.b) AC Motors:AC motors, specifically three-phase induction motors, are more commonly used in larger electric cars. These motors operate by creating a rotating magnetic field within the stator through the use of three alternating currents. When the rotating magnetic field interconnects with the rotor (known as the rotating part of the motor), it induces currents within the rotor, generating the necessary torque to propel the vehicle.   Motor Controllers:Electric cars require sophisticated control systems to regulate the power and speed of the electric motors. Motor controllers, often referred to as inverters, are responsible for controlling the electricity flow between the battery pack and the motor. They convert the direct current from the battery into AC, which is required by the motor. Additionally, motor controllers play a crucial role in adjusting the torque and speed of the motor based on driver input and other factors.Advantages of Electric Motors in Electric Cars:a) Efficiency:Electric motors have higher efficiency compared to internal combustion engines, converting a larger portion of electrical energy into usable mechanical energy. This efficiency translates into better overall energy utilization and longer driving ranges for electric cars.b) Instant Torque:Maximum torque from zero RPM can be achieved by Electric motors, by providing instant acceleration. This characteristic makes electric cars highly responsive and enjoyable to drive.c) Regenerative Braking:Electric motors can act as generators during deceleration or braking. They can convert the kinetic energy of the moving vehicle back into electrical energy. The energy moved back is then deposited in the battery. This regenerative braking feature helps in increasing the overall efficiency of electric cars and extends their range.d) Simplified Transmission: Electric motors offer high torque output across a wide range of speeds, eliminating the need for complex transmissions found in internal combustion engines. This simplification reduces weight, cost, and maintenance requirements. Principles of Operation:a. Electromagnetic Induction:Electric motors rely on electromagnetic induction to generate motion. When an electric current flows through the stator's copper coils, a magnetic field is produced. The stator interconnects with produced magnetic field and creates a force, due to which the rotor turns.b. Commutation:It is the process of converting the electric current direction in the coils of the stator. This switching is crucial for the continuous rotation of the rotor. It is typically achieved using electronic controllers that precisely regulate the current flow. Conclusion:Electric motors form the heart of electric cars, converting electrical energy into the mechanical power needed to propel these vehicles. Whether it's a DC motor or an AC motor, these devices offer numerous advantages such as high efficiency, instant torque, and regenerative braking. As electric vehicle technology continues to evolve, we can expect further advancements in electric motor design and performance, contributing to a cleaner and more sustainable transportation future.                                      
Karty On 2023-06-28   158
Robots

Securing the Future of Electric Vehicles - Addressing Cybersecurity Threats

Overview: This article discusses cybersecurity's importance for electric vehicles and their charging infrastructure, highlighting vulnerabilities and protective measures against cyberattacks.   Electric vehicles (EVs) have developed into one of the key technologies to help society meet challenging clean energy and decarbonization goals over the past ten years. The electric vehicle market has expanded by 60% annually on average. In the near future, this growth is anticipated to continue with even higher adoption rates. Electric Vehicle Advantages Many nations have implemented policies to promote the use of clean-fuel vehicles. The main obstacle to the adoption of electric vehicles is frequently identified as range anxiety. Recent advancements in battery and charging technology are reducing this range anxiety. For instance, the 100 kWh battery in the Tesla Model S is enough for a trip of up to 402 miles.    Similarly, electric vehicle charging stations and the infrastructure that supports them have grown significantly in size and number. At the end of the year, there were 7.3 million electric vehicle charging stations implemented worldwide, an increase of 60% from the previous year. Additionally, the electric vehicle charging stations now have a higher charging capacity and can provide faster charging services. These electric vehicle charging stations with a rated charging power of up to 350 kW have been recently developed. An electric vehicle can be charged using these chargers in under 15 minutes.   Smart electric vehicle charging features like remote control through smartphone apps are not only making electric vehicle charging faster but also more approachable and, therefore, more available to broader customer audiences.   Cyberattacks in Electric Vehicles Although significant and well-publicized cyberattacks have not yet targeted smart electric vehicle charging stations, threats and reasonable ways of attack have been reported. According to Kaspersky Lab, ChargePoint Home's smartphone electric vehicle charging app has security flaws. Through the charging device's WiFi connection, this flaw would allow a remote attacker to break into the charger and interfere with electric vehicle charging.    Cyberattacks might also target electric vehicle charging station web applications, such as those from Circontrol, an electric vehicle charging station vendor with over 80,000 electric vehicle charging stations in 60 nations. This flaw would make use of the poor login information for electric vehicle charging. These well-known vulnerabilities highlight the cyber risks associated with electric vehicles and electric vehicle charging stations. Protective Measures Against these Cyberattacks Because of these attacks and the social costs they produce, efforts are being made to standardize cyber-physical interfaces for both residential and commercial electric vehicle charging.    Electric vehicles and electric vehicle charging stations are vulnerable to attacks that could harm equipment due to non-standard cyber-physical interfaces. For a number of electric vehicle charging architectures, the European Network on Cybersecurity suggested security standards. These standards provide security for both electric vehicle charging stations and their possessions. It also secures communications between charging station operators and power grid operators.    The standard specifies access control, future security compatibility of charging stations, monitoring and controlling system security, and message encryption for secure communication. Additionally, due to flaws in these interfaces, it is possible to weaponize electric vehicles and use them to launch extensive demand-side cyberattacks against the power grid.    Demand-side cyberattacks on electricity grids involve manipulating appliances like electric vehicles, distributed energy resources, and heating, ventilation, and air conditioning (HVAC) loads. These appliances are internet-connected and have high power. Although such attacks on power grids have not occurred in the past, there is growing awareness among electric vehicle owners that they could be carried out using vulnerabilities that already exist. Power grid operators won't be able to handle them.  Smart Grids Cybersecurity A cyber-physical overview of the smart electric power grid is shown in Fig. 1. Resources that are IoT-enabled are still being used in all four power sectors, including generation, transmission, distribution, and customer service. However, by utilizing IoT-enabled devices, it also introduces new cyber threats to the power grid. An overview of these threats as they relate to smart grid cybersecurity can be found below. Fig. 1: A cyber-physical overview of the smart electric power grid Source: IEEE Access Stride Threat Model The STRIDE threat model, originally created by Microsoft to assess software threats, can be used to categorize cyberattacks. It is a categorical risk assessment model for spoofing, tampering, repudiation, integrity, denial-of-service (DoS), and elevation of privilege threats to a given cyber-physical system. Smart Grid Threats SCADA Threats SCADA is a centralized monitoring and control system that is frequently used in real-world power grids. It has four main parts: a central master terminal unit, a human-machine interface (HMI), field units like power line communications (PLC), remote terminal units (RTU), and communication channels. Despite having industry-standard defenses, the SCADA network is still susceptible to insider attacks.   SCADA Field Unit Threats Intelligent electronic devices (IEDs), PLCs, RTUs, and phasor measurement units (PMUs) are examples of SCADA field units. Relays, sensors, and breakers are examples of microprocessor-based IEDs. IEDs are monitored by RTUs, which send measurements to PLCs, SCADAs, or both. PLCs and SCADAs, in turn, use RTUs to communicate control signals to IEDs. This control capability of PLCs enables some control actions to be performed decentralized without involving SCADA.   The field units communicate with one another by using protocols. Additionally, these protocols are open to online threats. The system can become unstable if erroneous data is introduced into it.   Advanced Metering Infrastructure (AMI) Threats To allow interaction between the utility, consumers, and distributed energy resources (DERs), power grids are increasingly deploying AMI, such as smart meters. Residential consumers or prosumers may have IoT-enabled devices like smartphones linked to the exact same network as their smart meter, while commercial DER operators plan to protect their smart meter-connected network with a VPN. Smart meters and their communication channels are vulnerable to all types of cyberattacks because of this attack surface.   Demand Response Threats Demand response resources make use of AMIs and Smart meters, making them equally susceptible to threats. The data input and output of these devices can be manipulated causing problems to the grid operators.   Threats from Devices With IoT Intruders can get into high-wattage devices and appliances with IoT interfaces by taking advantage of weak passwords on local networks and the fact that they can connect to remote devices like smartphones and smart TVs, which are vulnerable to supply chain threats.    Electric Vehicle Charging Threats Cyberattacks on charging electric vehicles and the power grid pose greater social and economic risks. The charging methods can be wired charging or wireless charging, but the risks possessed are the same.   Summarizing the Key Points Cybersecurity is crucial for the growing electric vehicle industry and its charging infrastructure to prevent potential cyberattacks.Standardizing cyber-physical interfaces and implementing security measures are essential to protect electric vehicles and charging stations.Vulnerabilities in electric vehicle charging systems can be exploited, posing risks to equipment and potentially impacting power grids.The European Network on Cybersecurity has suggested security standards to safeguard communication between charging station operators and power grid operators.The rapid growth of electric vehicles and charging infrastructure necessitates a proactive approach to address cybersecurity challenges and ensure a secure and sustainable future. References [1] Acharya Samrat, Yury Dvorkin, Hrvoje Pandzic, and Ramesh Karri. “Cybersecurity of Smart Electric Vehicle Charging: A Power Grid Perspective.” IEEE Access 8 (2020): 214434–53. https://doi.org/10.1109/access.2020.3041074.
Rakesh Kumar, Ph.D. On 2023-06-20   163
Battery

Communication Protocols and Standards for Smart Charging Systems

Overview: This article overviews communication technologies in smart grid infrastructure, focusing on electric vehicle charging protocols and standards. CatalogSmart Charging SystemCommunication Technologies in Smart Grid InfrastructureSummarizing with Key Points Smart Charging SystemTo develop a power distribution network that is both more effective and more environmentally friendly, the possibility of combining electric vehicles with smart grid technologies plays a significant role. A component of smart grids known as vehicle-to-grid (V2G) enables electric vehicles to not only receive power from the grid but also feed excess energy back into it when they have it available. The convergence of electric vehicles and smart grids has the potential to revolutionize the energy business while simultaneously lowering carbon emissions.Fig. 1 . Overall charging system for battery electric vehicles using wired/wireless charging technologies. Image used courtesy of IEEE Access Communication Technologies in Smart Grid InfrastructureEV charging protocols and standardsFig. 1 shows how the system for charging battery electric vehicles with wired and wireless charging works. The smart charging system connects with the entire system and gives the vehicles the best possible charge. A few common protocols are needed to establish proper communication between the entities. Tables 1 and 2 compare and identify some common communication protocols. Table 1: Wired communication technologies in the smart grid Source: IET Renewable Power Generation FamilyStandardData RateCoveragePLCNB-PLC: ISO/IEC 14908–3 (Lon- Works) ISO/IEC 14543–3-5 (KNX), CEA-600.31 (CEBus) BB-PLC: TIA-1113 (Home Plug 1.0), IEEE 1901, ITU-T G.hn (G.9960/ G.9961)NB-PLC: 1–10 Kbps for low data rate, 10–500 Kbps for high data-rate  BB-PLC: 1–10 Mbps (up to 200 Mbps on very short distances)NB-PLC: 150 km or more    BB-PLC: 1.5 kmOptical FibreIEEE 802.3ah ITU-T G.983 (BPON) IEEE 802.3ah (EPON)100 Mbps 155,–622 Mbps 1 Gbpsup to 10 km up to 20–60 km 10–20 kmDSLITU G.992.1 (ADSL) ITU G.992.5 (ADSL2+) ITU G.993.1 (VDSL)1.3–Mbps 3.3–24 Mbps 52–85 MbpsUp to 4 km Up to 7 km Up to 1.2 km Table 2: Wireless communication technologies in the smart grid Source: IET Renewable Power Generation FamilyStandardData RateCoverageWi-FiIEEE 802.11e (QoS enhancements) IEEE 802.11n (ultra-high network throughput)BIEEE 802.11s (mesh networking) IIEEE 802.11p (WAVE: wireless access in vehicular environments) Up to 54 Mbps  Up to 600 Mbps 300 m (outdoors)  Up to 1 kmWiMaxIEEE 802.16 (fixed and mobile broadband wireless access)IEEE 802.16 m (advanced air interface)128 Mbps down and 28 Mbps up 100 Mbps for mobile users, 1 Gbps for fixed usersUp to 10 km 0–5 (optimum), 5–30 (acceptable), 30–100 (reduced) km3G / 4GI3G: UMTS (HSPA, HSPA+)   4G: LTE, LTE-AdvancedHSPA: 14.4 Mbps down and 5.75 Mbps up HSPA+: 84 Mbps down and 22 Mbps upLTE: 326 Mbps down and 86 Mbps up LTE-Advanced: 1 Gbps down and 500 Mbps up0–5 km   LTE-Advanced: 0–5 (optimum), 5–30 (acceptable), 30–100 (reduced) kmSatelliteLEO: Iridium, Global Star  MEO: New ICO  GEO: Inmarsat, BGAN, Swift, MPDS2.4 to 28 Kbps  9.6 up to 128 Kbps  384 up to 450 KbpsDepend on the number of satellites and their beams.Depend on the number of satellites and their beams.Depend on the number of satellites and their beams.Open Charge Point Protocol (OCPP) This application-based protocol implements the communication infrastructure between the charging station and the centrally distributed management system. The application protocol is freely accessible. A vendor-oriented protocol was created by the Open Charge Alliance. Due to the quick access to information that electric vehicle drivers provide, it offers more versatility.  The primary characteristics that this particular system is equipped with include transaction management, security, smart charging, message display, and the generation of warnings in the event of a malfunction. A bidirectional international communication standard is ISO 15118. It is employed as a channel of information exchange between electric vehicles and the infrastructure. Additionally, it is utilized for vehicle-to-grid mode communication.  It needs a standardized platform that can deliver and manage the protocol and its services to implement the protocol. The Driivz platform, an open charge point protocol, is one such platform. It supports the OCPI, OCHP, open intercharge protocol (OICP), and open automated DR protocol (OADR). The Driivz platform also supports ISO 15118 and OCPP 2.0, enabling vehicle-to-grid communication technologies.Open Charge Point Interface (OCPI) This system was implemented to allow charging station operators and the electric mobility service to exchange information about charging points. The following is a list of the open charge point interface's characteristics: The location status and session information are both being updated.Remote command sending.Giving charge information records to give the correct billing amount.Authorizing charging stations through the token exchange.OADRIt is intended for information exchange among the systems to study the DR. To precisely estimate demand at peak periods when it is in operation; it is standardized to send and receive accurate information between distributed energy resources and the control system of the energy management system. It predicts demand accurately at peak times during its operation.Open Smart Charging ProtocolThis protocol enables communication between an energy management system and a charge point management system for a site owner. It can share immediate predictions on the local energy grid's ability to support a charge point operation.OICPHubject was the one who developed it. It is used for standardized communication between charge point operators and e-mobility service provider systems.Global System for Mobile (GSM)It is the most widely used mobile network today. It runs in the range of 900 and 1800 MHz and is based on circuit switching. With a data rate of up to 270 kbps, the modulation method known as Gaussian Minimum Shifting Key is employed. The mobile handset, base station sub-system, networking switching substation, and operation support substation are the four major subcategories of this protocol's architecture. One of the most secure communication system protocols to date is thought to be this one.General Packet Radio ServiceThis is a packet-based data transfer protocol. Compared to the GSM, this network enables IP-based applications to operate at substantially higher data transfer rates. This specific networking protocol is mostly used for smart grid applications in remote regions.Summarizing with Key PointsEffective communication technologies are essential for successfully implementing smart grid infrastructure, particularly in the context of electric vehicle charging protocols and standards.The open charge point protocol is a widely used application-based protocol that enables communication between charging stations and centrally distributed management systems.The open charge point protocol offers versatility and quick information exchange between electric vehicle drivers and infrastructure, with features such as transaction management, security, smart charging, message display, and warning generation.In addition to the open charge point protocol, there are other common communication protocols used in smart charging systems that facilitate proper communication between entities involved in the charging process.Overall, effective communication technologies play a crucial role in ensuring efficient and reliable electric vehicle charging infrastructure within smart grid systems. This blog post is part of a full research article from the IET Renewable Power Generation. The featured image is courtesy of Midjourney.
Rakesh Kumar, Ph.D. On 2023-05-08   226

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