A novel State of Health estimation method for Lithium-ion battery in electric vehicles

Jie Fan, Yuan Zou*, Xudong Zhang, Hongwei Guo

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

14 引用 (Scopus)

摘要

To ensure safe operation of lithium-ion battery, precise estimation of its states like state of health (SOH) is indispensable. This paper proposes a novel SOH estimation method for lithium-ion battery in electric vehicle applications. When it's time to update battery capacity, the estimator extracts historical current and voltage data of last driving event and estimates open circuit voltage (OCV) based on affine projection algorithm. By means of the estimated OCV and the three-dimensional response surface OCV model, the SOH estimator gives the estimation result of the battery capacity. Experiments verify that the proposed estimation method is accurate and robust under different working conditions and different aging states.

源语言英语
文章编号022014
期刊Journal of Physics: Conference Series
1187
2
DOI
出版状态已出版 - 8 5月 2019
活动2018 International Symposium on Power Electronics and Control Engineering, ISPECE 2018 - Xi'an, 中国
期限: 28 12月 201830 12月 2018

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