锂离子电池剩余寿命预测方法研究综述
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福州大学 数学与计算机科学学院

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TP2

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国家自然科学(61976055);校企重大合作项目(01001707);


Review of the remaining life prediction methods for lithium-ion battery
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    摘要:

    电池故障预测和健康管理(Prediction and Health Management, PHM)评价的主要方法是确定电池的健康状态和剩余使用寿命(Remaining Useful Life, RUL),以此保证锂离子电池安全可靠地工作和实现寿命优化。锂电池RUL预测不仅是PHM中的热点问题和挑战问题,其预测方法的准确性也会直接影响电池管理系统(Battery Management System, BMS)的整体性能。介绍了单体电芯测评标准,对影响锂电池循环寿命的主要因素进行详细分析。简述电池日历寿命和循环寿命。概括和总结了近几年锂离子电池剩余寿命预测方法,比较不同方法的优缺点。提出了当前实际应用中预测锂电池RUL仍存在的关键问题并进行探讨。

    Abstract:

    The main method of battery prediction and health management evaluation (PHM) is to determine the health status and remaining useful life (RUL)of the battery, so as to ensure the safe and reliable operation of the lithium-ion battery and realize the life optimization. Lithium battery RUL prediction is not only a hot issue but a challenge in PHM. The accuracy of its prediction method will also directly affect the overall performance of the Battery Management System (BMS).This paper introduced the evaluation standard of single cell, and analyzed the main factors affecting the cycle life of lithium battery in detail. Briefly described the battery calendar life and cycle life. Summarized the remaining life prediction methods of lithium-ion batteries in recent years and compared the advantages and disadvantages of different methods.Thus, proposed the key problems in predicting the RUL of lithium battery in practical application, and discussed.

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郑文芳,付春流,张建华,汤平,陈德旺.锂离子电池剩余寿命预测方法研究综述计算机测量与控制[J].,2020,28(12):1-6.

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  • 收稿日期:2020-05-05
  • 最后修改日期:2020-05-23
  • 录用日期:2020-05-25
  • 在线发布日期: 2020-12-15
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