Fault diagnosis of lithium-ion batteries based on wavelet packet decomposition and Manhattan average distance

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-03-21 DOI:10.1080/15435075.2024.2332331

Li Liao, Da Yang, Xunbo Li, Jiuchun Jiang, Tiezhou Wu

引用次数: 0

Abstract

As lithium-ion batteries are widely used in electric vehicles, safety accidents caused by battery failures emerge one after another. Nevertheless, failures caused by changes in the internal structu...

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基于小波包分解和曼哈顿平均距离的锂离子电池故障诊断

随着锂离子电池在电动汽车中的广泛应用，由电池故障引发的安全事故层出不穷。然而，由于电池内部结构变化而导致的故障并不常见。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Green Energy 工程技术-能源与燃料

CiteScore

6.60

自引率

9.10%

发文量

112

审稿时长

3.7 months

期刊介绍： International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.