主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2023, Vol. 48 ›› Issue (20): 1-4.DOI: 10.16638/j.cnki.1671-7988.2023.020.001

• 新能源汽车 •    

车用锂离子电池健康状态估计

胡慧敏 1,2，庞知非 1   

  1. 1.中华人民共和国交通运输部 运输车辆运行安全技术交通行业重点实验室；2.长安大学 汽车学院
  • 出版日期:2023-10-30 发布日期:2023-10-30
  • 通讯作者: 胡慧敏
  • 作者简介:胡慧敏（1994－），女，助理工程师，研究方向为 BMS 软件，E-mail:hhuimin1113@163.com。
  • 基金资助:
    运输车辆运行安全技术交通运输行业重点实验室开放课题（KFKT2018-01）。

State of Health Estimation of Lithium-ion Batteries for Vehicles

HU Huimin1,2 , PANG Zhifei1   

  1. 1.Key Laboratory of Operation Safety Technology on Transport Vehicles, Ministry of Transport of the People's Republic of China;2.School of Automobile, Chang'an University
  • Online:2023-10-30 Published:2023-10-30
  • Contact: HU Huimin

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摘要： 锂离子电池作为新能源汽车的主要动力来源，其健康状态估计和电池的保养、维护与 更换息息相关。文章选择电池容量作为直接健康因子，基于电池充电电压曲线提取 3 个间接 健康因子，采用 Pearson 和 Spearman 相关系数计算其与容量之间的相关性。结果发现，等电 压上升充电时间与容量的相关性最大，选取高斯过程回归（GPR）算法建立电池健康状态 （SOH）估计模型，选用共轭梯度法（CGM）计算模型超参数，能够对锂离子电池 SOH 进行 较好的估计。

关键词: 车用锂电池；SOH；健康因子；高斯过程回归

Abstract: Lithium-ion batteries are the main source of power for new energy vehicles, and their status of health estimation is closely related to battery maintenance, repair, and replacement. In this paper, battery capacity is selected as a direct health factor, three indirect health factors are extracted based on battery charging voltage curve, and the correlation between them and capacity is calculated using Pearson and Spearman correlation coefficients. The results show that the correlation between charge time equal voltage and capacity is the highest. Gaussian process regression (GPR) algorithm is selected to establish the state of health (SOH) estimation model, and conjugate gradient method (CGM) is selected to calculate the hyper parameter of the model, which can better estimate the SOH of lithium-ion batteries.

Key words: Lithium-ion batteries for vehicles; SOH; Health index; Gaussian process regression