| 锂离子电池健康状态估计方法研究综述 |
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| 引用本文： | 胡晓亚,郭永芳,张若可. 锂离子电池健康状态估计方法研究综述[J]. 电源学报, 2022, 20(1): 126-133 |
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| 作者姓名： | 胡晓亚 郭永芳 张若可 |
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| 作者单位： | 河北工业大学人工智能与数据科学学院, 天津 300401 |
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| 基金项目： | 河北省自然科学基金资助项目（E2019202328） |
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| 摘 要： | 电池管理系统是锂离子电池高效、安全运行的重要保障。电池的状态估计在电池管理系统中发挥着重要的作用。健康状态是锂离子电池状态估计的重要指标之一。通过对近几年国内外锂离子健康状态估计方法相关文献的整理，综述了锂离子电池健康状态的定义和估计方法,并对现有的估计方法进行了分类和阐述。最后针对现有估计方法的不足，提出未来需要改进的方向。
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| 关 键 词： | 电池管理系统 锂离子电池 健康状态 估计方法 |
| 收稿时间： | 2019-10-13 |
| 修稿时间： | 2021-09-09 |
Review of State-of-health Estimation Methods for Lithium-ion Battery |
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| HU Xiaoy,GUO Yongfang,ZHANG Ruoke. Review of State-of-health Estimation Methods for Lithium-ion Battery[J]. Journal of Power Supply, 2022, 20(1): 126-133 |
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| Authors: | HU Xiaoy GUO Yongfang ZHANG Ruoke |
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| Affiliation: | College of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China |
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| Abstract: | Battery management system is an important guarantee for the efficient and safe operation of lithium-ion batteries, in which the battery state estimation plays an important role. The state-of-health(SOH) is one of the important indicators for the state estimation of lithium-ion batteries. In this paper, the definition and estimation methods for the SOH of lithium-ion batteries are reviewed through the summary of related literatures in recent years, and the existing estimation methods are classified and described. Finally, aimed at the shortcomings of the existing estimation methods, the direction of improvement in the future is put forward. |
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| Keywords: | battery management system lithium-ion battery state-of-health(SOH) estimation method |
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