Battery parameter identification method of a battery module based on a multi-physical measurement system-Reference-Cited by-同舟云学术

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Battery parameter identification method of a battery module based on a multi-physical measurement system

Published:2024-03 Issue: Volume:80 Page:110216
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Li Xiaoyu,Chen Fengyi,Lin Shaohong,Huang Zhijia,Tian Yong,Tian Jindong

Funder

Natural Science Foundation of Guangdong Province

Natural Science Foundation of Shenzhen Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference31 articles.

1. Towards sustainable business models for electric vehicle battery second use: a critical review;Reinhardt;J. Environ. Manag.,2019

2. A comparative study of global optimization methods for parameter identification of different equivalent circuit models for Li-ion batteries;Lai;Electrochim. Acta,2019

3. A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries;Lai;Electrochim. Acta,2018

4. Recycling and utilization technologies of waste electric vehicle power batteries and their development;Haifeng;Automotive Accessories,2011

5. An overview of recycling and treatment of spent LiFePO 4 batteries in China;Wang;Resour. Conserv. Recycl.,2017

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