A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging-Reference-Cited by-同舟云学术

A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging

Published:2023-11 Issue: Volume:282 Page:128782
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Chen Junxiong,Hu Yuanjiang,Zhu Qiao,Rashid Haroon,Li Hongkun

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference40 articles.

1. Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling;Rauf;Renew Sustain Energy Rev,2022

2. A survey on lithium-ion battery internal and external degradation modeling and state of health estimation;Vennam;J Energy Storage,2022

3. Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects;Hossain Lipu;J Energy Storage,2022

4. Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications;Yang;J Clean Prod,2021

5. Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review;Li;Renew Sustain Energy Rev,2019

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