Energy Storage Systems for Electric Vehicles

The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage s...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Fformat: Online
Iaith:Saesneg
Cyhoeddwyd: MDPI - Multidisciplinary Digital Publishing Institute 2021
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CFD
Mynediad Ar-lein:ONIX_20210501_9783039369621_798
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Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
_version_ 1869516184637931520
collection Directory of Open Access Books
description The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-690522024-04-11T15:11:27Z Energy Storage Systems for Electric Vehicles Schaltz, Erik lithium-ion batteries non-aqueous electrolyte nitrile-based solvents butyronitrile SEI forming additives fast charging power batteries improved second-order RC equivalent circuit fuzzy unscented Kalman filtering algorithm joint estimation electric bus battery energy efficiency environmental conditions hybrid electric vehicles (HEVs) battery life multi-objective energy management adaptive equivalent consumption minimization strategy (A-ECMS) pontryagin’s minimum principle (PMP) particle swarm optimization (PSO) recurrent-neural-network (RNN) fuel cell hybrid electric vehicle least squares support vector machines (LSSVM) driving conditions identification power distribution electric vehicle lithium-ion battery estimation Kalman filter state-of-charge state-of-health resistance open-circuit voltage battery capacity battery modelling and simulation battery testing cycler battery thermal model lithium-ion polymer battery SLI battery dual-motor energy recovery regenerative braking system CVT speed ratio control motor minimum loss energy consumption and efficiency characteristics braking force distribution oil–electric–hydraulic hybrid system lowest instantaneous energy costs energy management global optimization retired batteries energy storage applications layered bidirectional equalization equalization algorithm state of charge available capacity adaptive model-based algorithm square root cubature Kalman filter li-ion battery performance degradation modelling electrified propulsion battery sizing powertrain optimization optimal energy management heat and mass transfer thermal analysis Lithium-ion battery micro-channel cooling plate battery thermal management MeshWorks CFD diffusion induced stress hydrostatic stress influence on diffusion electrode particle model battery mechanical aging coulomb counting open circuit voltage state of health temperature new energy vehicle power battery battery reusing echelon utilization battery recycling electric vehicles electro-hydraulic braking braking intention mode switching torque coordinated control Electric Truck Simulator Electric Vehicle (EV) Vehicle Routing Problem (VRP) Traveling Salesman Problem (TSP) least-energy routing algorithm EV batteries metric evaluation AC–AC converters battery chargers power conversion harmonics wireless power transmission electrochemical–thermal model artificial intelligence artificial neural networks hybrid vehicles state-of-charge estimation (SOC) linear quadratic estimator lithium ion battery iron phosphate cell expansion force lithium-ion cobalt battery state of energy adaptive EKF SOC estimation linear observer SOC estimation MATLAB Simscape electric buses thermal energy storage latent heat storage metallic phase change material cabin heating fuel cell automated guided vehicle hybrid energy storage system model-based design waveforms modeling autoregressive models of nonstationary signals thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc. 2021-05-01T15:36:15Z 2021-05-01T15:36:15Z 2020 book ONIX_20210501_9783039369621_798 9783039369621 9783039369638 https://directory.doabooks.org/handle/20.500.12854/69052 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2821 https://mdpi.com/books/pdfview/book/2821 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-963-8 10.3390/books978-3-03936-963-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039369621 9783039369638 550 Basel, Switzerland open access
spellingShingle lithium-ion batteries
non-aqueous electrolyte
nitrile-based solvents
butyronitrile
SEI forming additives
fast charging
power batteries
improved second-order RC equivalent circuit
fuzzy unscented Kalman filtering algorithm
joint estimation
electric bus
battery
energy efficiency
environmental conditions
hybrid electric vehicles (HEVs)
battery life
multi-objective energy management
adaptive equivalent consumption minimization strategy (A-ECMS)
pontryagin’s minimum principle (PMP)
particle swarm optimization (PSO)
recurrent-neural-network (RNN)
fuel cell hybrid electric vehicle
least squares support vector machines (LSSVM)
driving conditions identification
power distribution
electric vehicle
lithium-ion battery
estimation
Kalman filter
state-of-charge
state-of-health
resistance
open-circuit voltage
battery capacity
battery modelling and simulation
battery testing cycler
battery thermal model
lithium-ion polymer battery
SLI battery
dual-motor energy recovery
regenerative braking system
CVT speed ratio control
motor minimum loss
energy consumption and efficiency characteristics
braking force distribution
oil–electric–hydraulic hybrid system
lowest instantaneous energy costs
energy management
global optimization
retired batteries
energy storage applications
layered bidirectional equalization
equalization algorithm
state of charge
available capacity
adaptive model-based algorithm
square root cubature Kalman filter
li-ion battery
performance degradation modelling
electrified propulsion
battery sizing
powertrain optimization
optimal energy management
heat and mass transfer
thermal analysis
Lithium-ion battery
micro-channel cooling plate
battery thermal management
MeshWorks
CFD
diffusion induced stress
hydrostatic stress influence on diffusion
electrode particle model
battery mechanical aging
coulomb counting
open circuit voltage
state of health
temperature
new energy vehicle
power battery
battery reusing
echelon utilization
battery recycling
electric vehicles
electro-hydraulic braking
braking intention
mode switching
torque coordinated control
Electric Truck Simulator
Electric Vehicle (EV)
Vehicle Routing Problem (VRP)
Traveling Salesman Problem (TSP)
least-energy routing algorithm
EV batteries
metric evaluation
AC–AC converters
battery chargers
power conversion harmonics
wireless power transmission
electrochemical–thermal model
artificial intelligence
artificial neural networks
hybrid vehicles
state-of-charge estimation (SOC)
linear quadratic estimator
lithium ion battery
iron phosphate
cell expansion
force
lithium-ion cobalt battery
state of energy
adaptive EKF SOC estimation
linear observer SOC estimation
MATLAB
Simscape
electric buses
thermal energy storage
latent heat storage
metallic phase change material
cabin heating
fuel cell
automated guided vehicle
hybrid energy storage system
model-based design
waveforms modeling
autoregressive models of nonstationary signals
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Energy Storage Systems for Electric Vehicles
title Energy Storage Systems for Electric Vehicles
title_full Energy Storage Systems for Electric Vehicles
title_fullStr Energy Storage Systems for Electric Vehicles
title_full_unstemmed Energy Storage Systems for Electric Vehicles
title_short Energy Storage Systems for Electric Vehicles
title_sort energy storage systems for electric vehicles
topic lithium-ion batteries
non-aqueous electrolyte
nitrile-based solvents
butyronitrile
SEI forming additives
fast charging
power batteries
improved second-order RC equivalent circuit
fuzzy unscented Kalman filtering algorithm
joint estimation
electric bus
battery
energy efficiency
environmental conditions
hybrid electric vehicles (HEVs)
battery life
multi-objective energy management
adaptive equivalent consumption minimization strategy (A-ECMS)
pontryagin’s minimum principle (PMP)
particle swarm optimization (PSO)
recurrent-neural-network (RNN)
fuel cell hybrid electric vehicle
least squares support vector machines (LSSVM)
driving conditions identification
power distribution
electric vehicle
lithium-ion battery
estimation
Kalman filter
state-of-charge
state-of-health
resistance
open-circuit voltage
battery capacity
battery modelling and simulation
battery testing cycler
battery thermal model
lithium-ion polymer battery
SLI battery
dual-motor energy recovery
regenerative braking system
CVT speed ratio control
motor minimum loss
energy consumption and efficiency characteristics
braking force distribution
oil–electric–hydraulic hybrid system
lowest instantaneous energy costs
energy management
global optimization
retired batteries
energy storage applications
layered bidirectional equalization
equalization algorithm
state of charge
available capacity
adaptive model-based algorithm
square root cubature Kalman filter
li-ion battery
performance degradation modelling
electrified propulsion
battery sizing
powertrain optimization
optimal energy management
heat and mass transfer
thermal analysis
Lithium-ion battery
micro-channel cooling plate
battery thermal management
MeshWorks
CFD
diffusion induced stress
hydrostatic stress influence on diffusion
electrode particle model
battery mechanical aging
coulomb counting
open circuit voltage
state of health
temperature
new energy vehicle
power battery
battery reusing
echelon utilization
battery recycling
electric vehicles
electro-hydraulic braking
braking intention
mode switching
torque coordinated control
Electric Truck Simulator
Electric Vehicle (EV)
Vehicle Routing Problem (VRP)
Traveling Salesman Problem (TSP)
least-energy routing algorithm
EV batteries
metric evaluation
AC–AC converters
battery chargers
power conversion harmonics
wireless power transmission
electrochemical–thermal model
artificial intelligence
artificial neural networks
hybrid vehicles
state-of-charge estimation (SOC)
linear quadratic estimator
lithium ion battery
iron phosphate
cell expansion
force
lithium-ion cobalt battery
state of energy
adaptive EKF SOC estimation
linear observer SOC estimation
MATLAB
Simscape
electric buses
thermal energy storage
latent heat storage
metallic phase change material
cabin heating
fuel cell
automated guided vehicle
hybrid energy storage system
model-based design
waveforms modeling
autoregressive models of nonstationary signals
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet lithium-ion batteries
non-aqueous electrolyte
nitrile-based solvents
butyronitrile
SEI forming additives
fast charging
power batteries
improved second-order RC equivalent circuit
fuzzy unscented Kalman filtering algorithm
joint estimation
electric bus
battery
energy efficiency
environmental conditions
hybrid electric vehicles (HEVs)
battery life
multi-objective energy management
adaptive equivalent consumption minimization strategy (A-ECMS)
pontryagin’s minimum principle (PMP)
particle swarm optimization (PSO)
recurrent-neural-network (RNN)
fuel cell hybrid electric vehicle
least squares support vector machines (LSSVM)
driving conditions identification
power distribution
electric vehicle
lithium-ion battery
estimation
Kalman filter
state-of-charge
state-of-health
resistance
open-circuit voltage
battery capacity
battery modelling and simulation
battery testing cycler
battery thermal model
lithium-ion polymer battery
SLI battery
dual-motor energy recovery
regenerative braking system
CVT speed ratio control
motor minimum loss
energy consumption and efficiency characteristics
braking force distribution
oil–electric–hydraulic hybrid system
lowest instantaneous energy costs
energy management
global optimization
retired batteries
energy storage applications
layered bidirectional equalization
equalization algorithm
state of charge
available capacity
adaptive model-based algorithm
square root cubature Kalman filter
li-ion battery
performance degradation modelling
electrified propulsion
battery sizing
powertrain optimization
optimal energy management
heat and mass transfer
thermal analysis
Lithium-ion battery
micro-channel cooling plate
battery thermal management
MeshWorks
CFD
diffusion induced stress
hydrostatic stress influence on diffusion
electrode particle model
battery mechanical aging
coulomb counting
open circuit voltage
state of health
temperature
new energy vehicle
power battery
battery reusing
echelon utilization
battery recycling
electric vehicles
electro-hydraulic braking
braking intention
mode switching
torque coordinated control
Electric Truck Simulator
Electric Vehicle (EV)
Vehicle Routing Problem (VRP)
Traveling Salesman Problem (TSP)
least-energy routing algorithm
EV batteries
metric evaluation
AC–AC converters
battery chargers
power conversion harmonics
wireless power transmission
electrochemical–thermal model
artificial intelligence
artificial neural networks
hybrid vehicles
state-of-charge estimation (SOC)
linear quadratic estimator
lithium ion battery
iron phosphate
cell expansion
force
lithium-ion cobalt battery
state of energy
adaptive EKF SOC estimation
linear observer SOC estimation
MATLAB
Simscape
electric buses
thermal energy storage
latent heat storage
metallic phase change material
cabin heating
fuel cell
automated guided vehicle
hybrid energy storage system
model-based design
waveforms modeling
autoregressive models of nonstationary signals
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20210501_9783039369621_798