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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
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The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.
History of engineering & technology --- state of charge (SOC) --- joint estimation --- lithium-ion battery --- variational Bayesian approximation --- dual extended Kalman filter (DEKF) --- measurement statistic uncertainty --- electric vehicles --- renewable energy sources --- microgrid --- economic dispatching --- capacity allocation --- cooperative optimization --- SOC --- second-order RC model --- model parameter optimization --- AUKF --- small-signal modeling --- battery energy storage system --- battery management system --- control --- stability --- dynamic response --- wireless power --- state-of-charge --- electric vehicle --- LiFePO4 batteries --- state of charge (SoC) --- Butler–Volmer equation --- Arrhenius --- Peukert --- coulomb efficiency --- back propagation neural network (BPNN) --- torque and battery distribution --- particle swarm optimization --- air-cooled BTMS --- compact lithium ion battery module --- ANN --- battery electric vehicles --- battery management --- hybrid energy storage --- n/a --- Butler-Volmer equation
Book
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
In recent years, lithium-ion batteries (LIBs) have been increasingly contributing to the development of novel engineering systems with energy storage requirements. LIBs are playing an essential role in our society, as they are being used in a wide variety of applications, ranging from consumer electronics, electric mobility, renewable energy storage, biomedical applications, or aerospace systems. Despite the remarkable achievements and applicability of LIBs, there are several features within this technology that require further research and improvements. In this book, a collection of 10 original research papers addresses some of those key features, including: battery testing methodologies, state of charge and state of health monitoring, and system-level power electronics applications. One key aspect to emphasize when it comes to this book is the multidisciplinary nature of the selected papers. The presented research was developed at university departments, institutes and organizations of different disciplines, including Electrical Engineering, Control Engineering, Computer Science or Material Science, to name a few examples. The overall result is a book that represents a coherent collection of multidisciplinary works within the prominent field of LIBs.
electric wheelchair --- lithium-ion battery --- supercapacitor --- semiactive hybrid energy storage system --- smart energy management system --- kinetic battery model --- lithium-ion batteries --- nonlinear capacity --- fractional calculus --- ultrasonic sensing --- health monitoring --- state of health --- failure indication --- data fusion --- temperature-dependent second-order RC model --- SOC estimation --- dual Kalman filter --- state of charge --- battery parameters identification --- equivalent circuit model --- battery equalization --- flyback transformer --- topology --- commercial Li-ion testing --- RPT --- CtcV --- cell-to-cell variations --- traction battery --- LiFePO4 --- short-circuit --- deep discharge --- damage recovery --- SOC --- second-order RC equivalent circuit model --- system noise covariance --- observation noise covariance --- AUKF --- battery modeling --- battery chargers --- power supplies --- resonant inverters --- phase control
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.
state of charge (SOC) --- joint estimation --- lithium-ion battery --- variational Bayesian approximation --- dual extended Kalman filter (DEKF) --- measurement statistic uncertainty --- electric vehicles --- renewable energy sources --- microgrid --- economic dispatching --- capacity allocation --- cooperative optimization --- SOC --- second-order RC model --- model parameter optimization --- AUKF --- small-signal modeling --- battery energy storage system --- battery management system --- control --- stability --- dynamic response --- wireless power --- state-of-charge --- electric vehicle --- LiFePO4 batteries --- state of charge (SoC) --- Butler–Volmer equation --- Arrhenius --- Peukert --- coulomb efficiency --- back propagation neural network (BPNN) --- torque and battery distribution --- particle swarm optimization --- air-cooled BTMS --- compact lithium ion battery module --- ANN --- battery electric vehicles --- battery management --- hybrid energy storage --- n/a --- Butler-Volmer equation
Book
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
In recent years, lithium-ion batteries (LIBs) have been increasingly contributing to the development of novel engineering systems with energy storage requirements. LIBs are playing an essential role in our society, as they are being used in a wide variety of applications, ranging from consumer electronics, electric mobility, renewable energy storage, biomedical applications, or aerospace systems. Despite the remarkable achievements and applicability of LIBs, there are several features within this technology that require further research and improvements. In this book, a collection of 10 original research papers addresses some of those key features, including: battery testing methodologies, state of charge and state of health monitoring, and system-level power electronics applications. One key aspect to emphasize when it comes to this book is the multidisciplinary nature of the selected papers. The presented research was developed at university departments, institutes and organizations of different disciplines, including Electrical Engineering, Control Engineering, Computer Science or Material Science, to name a few examples. The overall result is a book that represents a coherent collection of multidisciplinary works within the prominent field of LIBs.
Information technology industries --- electric wheelchair --- lithium-ion battery --- supercapacitor --- semiactive hybrid energy storage system --- smart energy management system --- kinetic battery model --- lithium-ion batteries --- nonlinear capacity --- fractional calculus --- ultrasonic sensing --- health monitoring --- state of health --- failure indication --- data fusion --- temperature-dependent second-order RC model --- SOC estimation --- dual Kalman filter --- state of charge --- battery parameters identification --- equivalent circuit model --- battery equalization --- flyback transformer --- topology --- commercial Li-ion testing --- RPT --- CtcV --- cell-to-cell variations --- traction battery --- LiFePO4 --- short-circuit --- deep discharge --- damage recovery --- SOC --- second-order RC equivalent circuit model --- system noise covariance --- observation noise covariance --- AUKF --- battery modeling --- battery chargers --- power supplies --- resonant inverters --- phase control --- electric wheelchair --- lithium-ion battery --- supercapacitor --- semiactive hybrid energy storage system --- smart energy management system --- kinetic battery model --- lithium-ion batteries --- nonlinear capacity --- fractional calculus --- ultrasonic sensing --- health monitoring --- state of health --- failure indication --- data fusion --- temperature-dependent second-order RC model --- SOC estimation --- dual Kalman filter --- state of charge --- battery parameters identification --- equivalent circuit model --- battery equalization --- flyback transformer --- topology --- commercial Li-ion testing --- RPT --- CtcV --- cell-to-cell variations --- traction battery --- LiFePO4 --- short-circuit --- deep discharge --- damage recovery --- SOC --- second-order RC equivalent circuit model --- system noise covariance --- observation noise covariance --- AUKF --- battery modeling --- battery chargers --- power supplies --- resonant inverters --- phase control
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.
History of engineering & technology --- state of charge (SOC) --- joint estimation --- lithium-ion battery --- variational Bayesian approximation --- dual extended Kalman filter (DEKF) --- measurement statistic uncertainty --- electric vehicles --- renewable energy sources --- microgrid --- economic dispatching --- capacity allocation --- cooperative optimization --- SOC --- second-order RC model --- model parameter optimization --- AUKF --- small-signal modeling --- battery energy storage system --- battery management system --- control --- stability --- dynamic response --- wireless power --- state-of-charge --- electric vehicle --- LiFePO4 batteries --- state of charge (SoC) --- Butler-Volmer equation --- Arrhenius --- Peukert --- coulomb efficiency --- back propagation neural network (BPNN) --- torque and battery distribution --- particle swarm optimization --- air-cooled BTMS --- compact lithium ion battery module --- ANN --- battery electric vehicles --- battery management --- hybrid energy storage --- state of charge (SOC) --- joint estimation --- lithium-ion battery --- variational Bayesian approximation --- dual extended Kalman filter (DEKF) --- measurement statistic uncertainty --- electric vehicles --- renewable energy sources --- microgrid --- economic dispatching --- capacity allocation --- cooperative optimization --- SOC --- second-order RC model --- model parameter optimization --- AUKF --- small-signal modeling --- battery energy storage system --- battery management system --- control --- stability --- dynamic response --- wireless power --- state-of-charge --- electric vehicle --- LiFePO4 batteries --- state of charge (SoC) --- Butler-Volmer equation --- Arrhenius --- Peukert --- coulomb efficiency --- back propagation neural network (BPNN) --- torque and battery distribution --- particle swarm optimization --- air-cooled BTMS --- compact lithium ion battery module --- ANN --- battery electric vehicles --- battery management --- hybrid energy storage
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