基于电压预测和 Z 值组合的锂离子电池故障诊断方法

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-07-09 DOI:10.1080/15435075.2024.2376707

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

引用次数: 0

摘要

新能源电动汽车因锂离子电池故障导致的安全事故频发，及时准确地诊断电池组故障至关重要。电压作为...

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Fault diagnosis method for lithium-ion batteries based on the combination of voltage prediction and Z-score

Safety accidents in new energy electric vehicles caused by lithium-ion battery failures occur frequently, and the timely and accurate diagnosis of failures in battery packs is crucial. Voltage, as ...

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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.