期刊
JOURNAL OF POWER SOURCES
卷 245, 期 -, 页码 846-856出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2013.07.052
关键词
Li-ion battery; Battery degradation; Ageing; Prediction; Statistics; Electric vehicle
资金
- French agency ADEME into the AMI - Demonstration project for new energy technologies
This paper describes the statistical analysis of recorded data parameters of electrical battery ageing during electric vehicle use. These data permit traditional battery ageing investigation based on the evolution of the capacity fade and resistance raise. The measured variables are examined in order to explain the correlation between battery ageing and operating conditions during experiments. Such study enables us to identify the main ageing factors. Then, detailed statistical dependency explorations present the responsible factors on battery ageing phenomena. Predictive battery ageing models are built from this approach. Thereby results demonstrate and quantify a relationship between variables and battery ageing global observations, and also allow accurate battery ageing diagnosis through predictive models. (C) 2013 Elsevier B.V. All rights reserved.
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