State-of-Charge estimation of Li-ion battery at different temperatures using particle filter

State-of-Charge estimation of Li-ion battery at different temperatures using particle filter

State-of-Charge (SOC) estimation is one of the fundamental functions undertaken by Battery Management System (BMS) in an Electric Vehicle (EV) to assess the residual service time of the battery during operation. Thus, an accurate model of the battery that efficiently describes its dynamic characteri...

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Bibliographic Details
Main Authors: Venu Sangwan, Rajesh Kumar, Akshay Kumar Rathore
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:The Journal of Engineering
Subjects:
secondary cells
adaptive filters
particle filtering (numerical methods)
bayes methods
battery powered vehicles
battery management systems
lithium compounds
optimisation
temperature variation
recursive bayesian filtering based adaptive filter algorithms
asmo
optimisation problem
bms
li-ion battery state-of-charge estimation
battery parameters
soc estimation
electric vehicle
battery management system
particle filter
meta-heuristic ageist spider monkey algorithm
residual service time
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9234

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9234

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