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Battery Modelling, Applications, and Technology

Batteries, among the various energy storage systems, are electrochemical storage devices that have always been attractive for both stationary and mobile applications. Different kinds of technology have been developed through the years (lead–acid, nickel–cadmium, nickel–metal hydride, lithium ion, et...

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:
cable
thermal analysis
skin and proximity effects
battery storage
ampacity
lithium-ion battery
state of charge
state of health
deep learning
cloud
field application
battery management system
machine learning
artificial intelligence
safety
field
real-world application
SoH
battery degradation
prognostics
lithium-ion batteries
calendar aging
OCV curve
state of charge estimation
ICEVs
BEVs
mobility
electricity generation
wind energy
solar photovoltaic energy
renewable energy sources
vehicle fleet
pollutant emissions
second-life battery
electricity grid application
electrochemical modeling
degradation prediction
battery operational strategy
lithium-ion iron phosphate (LFP) battery
hybrid pulse power characterization (HPPC)
Thevenin equivalent circuit
battery energy storage system
renewables
market service stacking
artificial neural networks
data augmentation
electrode microstructure
heterogeneous physical model
mechanical degradation
electrochemical impedance spectroscopy
battery
fuel-cell vehicle
load capacity
hybrid powertrain
electric propulsion system
energy balance assessment
external load
chassis dynamometer
lithium batteries
Kalman filters
sliding innovation filter
interacting multiple model
battery monitoring system
B005 battery dataset
thema EDItEUR::2 Language qualifiers::2A Indo-European languages::2AC Germanic and Scandinavian languages::2ACG German
Acceso en liña:ONIX_20240514_9783725806058_373
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