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Energy Storage Systems for Electric Vehicles



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Titolo: Energy Storage Systems for Electric Vehicles Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 electronic resource (550 p.)
Disciplina: 621.3124240284
Soggetto topico: History of engineering & technology
Soggetto non controllato: 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
Sommario/riassunto: 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.
Titolo autorizzato: Energy Storage Systems for Electric Vehicles  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557375603321
Lo trovi qui: Univ. Federico II
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