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Life prediction of lithium ion batteries for electric vehicles based on gas production behavior model

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Lithium ion battery as a kind of new energy is a promising energy storage medium for electric and hybrid electric vehicles with their characteristics of lightness and high energy density. However, some accidents about battery fire or explosion remind us to focus on their reliability and safety issues. Thus, life prediction as the essential part should be considered during the design phrase of batteries to guarantee the safety and reliability level. In this paper, a new life prediction method based on gas production model of batteries has been proposed. Firstly, based on analysis result of actual gas production mechanism, types of chemical reactions existed in batteries can be determined. Then, through theoretical analysis of these chemical reactions combined with capacity change of battery, the whole gas behavior is divided into two stages. It includes the initial solid electrolyte interface formation stage and the stage of solid electrolyte interface being severely damaged and repaired. Gas production equation of each stage has been constructed. Based on these gas equations, quantitative relationship between the battery capacity and the characteristics of gas production is investigated. With a suitable end-of-life criterion, the application-oriented life prediction model for lithium ion batteries is established. Finally, the verification procedure is presented based on actual test data to validate our method and its advantages. This paper aims to achieve deeper understanding gas behavior of lithium ion batteries and further develop corresponding life prediction method to provide a theoretical basis for future design improvement.

源语言英语
主期刊名Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
编辑Wei Guo, Jose Valente de Oliveira, Chuan Li, Yun Bai, Ping Ding, Juanjuan Shi
出版商Institute of Electrical and Electronics Engineers Inc.
275-280
页数6
ISBN(电子版)9781509040209
DOI
出版状态已出版 - 9 12月 2017
活动2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 - Shanghai, 中国
期限: 16 8月 201718 8月 2017

出版系列

姓名Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
2017-December

会议

会议2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
国家/地区中国
Shanghai
时期16/08/1718/08/17

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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