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锂离子电池剩余寿命预测研究

Review of remaining useful life prediction for lithium ion battery

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【作者】 戴海峰; 张艳伟; 魏学哲; 姜波;

【Author】 DAI Hai-feng;ZHANG Yan-wei;WEI Xue-zhe;JIANG Bo;College of Automotive Studies, Tongji University;Clean Energy Automotive Engineering Center, Tongji University;

【机构】 同济大学汽车学院; 同济大学新能源汽车工程中心;

【摘要】 准确的锂离子电池剩余寿命预测对其安全有效管理及使用维护具有重要意义。针对锂离子电池寿命预测的研究现状进行分析,归纳总结了锂离子电池寿命建模思路。重点研究了近年来用于剩余寿命预测的技术、算法和模型,并分别比较了各类预测方法的优缺点,给出了锂离子电池剩余寿命预测亟待解决的问题及发展趋势。

【Abstract】 The accurate prediction of remaining useful life(RUL) of lithium ion battery is of great significance for its safe and effective management and maintenance. In this paper, the current research status of the RUL prediction is analyzed and the life modeling principles of lithium ion battery is concluded. The techniques, algorithms and models used for RUL prediction in recent years have been studied, meanwhile, the advantages and disadvantages of various prediction methods are compared. Combined with the lithium ion battery RUL prediction problems to be solved in serious, the trend of its development is proposed.

【基金】 国家自然科学基金(51677136)
  • 【文献出处】 电源技术 ,Chinese Journal of Power Sources , 编辑部邮箱 ,2019年12期
  • 【分类号】TM912
  • 【被引频次】23
  • 【下载频次】1564
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