A comparative study on mechanical-electrical-thermal characteristics and failure mechanism of LFP/NMC/LTO batteries under mechanical abuse

Author:

Wang Renjie,Liu Guofeng,Wang Can,Ji Zhaoqi,Yu QuanqingORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

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2. Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model;Fang;Green Energy and Intelligent Transportation,2023

3. Deep learning to estimate lithium-ion battery state of health without additional degradation experiments;Lu;Nature Communications,2023

4. Machine learning enables rapid state of health estimation of each cell within battery pack;Yu;Applied Energy,2024

5. Li-ion Battery failure warning methods for energy-storage systems;Wu;Chinese Journal of Electrical Engineering,2024

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