Battery Management System for Future Electric Vehicles

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 optimi...

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Detalhes bibliográficos
Corporate Authors: Söffker, Dirk, Moulik, Bedatri
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
Assuntos:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and 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
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/69272
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