基于一阶ECM-IGPR的锂离子电池SOC及SOH联合估计框架

李谦; 姜帆; 韩乔妮; 张吉昂; 程泽; 苏展; 马伯杨

doi:10.19912/j.0254-0096.tynxb.2023-0024

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 240-250. DOI: 10.19912/j.0254-0096.tynxb.2023-0024

基于一阶ECM-IGPR的锂离子电池SOC及SOH联合估计框架

李谦¹, 姜帆², 韩乔妮³, 张吉昂⁴, 程泽³, 苏展¹, 马伯杨¹

作者信息 +

JOINT FIRST ORDER SOC AND SOH ESTIMATION FRAMEWORK FOR LI-ION BATTERY BASED ON ECM-IGPR

Li Qian¹, Jiang Fan², Han Qiaoni³, Zhang Ji’ang⁴, Cheng Ze³, Su Zhan¹, Ma Boyang¹

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文章历史 +

摘要

为解决锂电池荷电状态与健康状态互相耦合问题,提出一种基于等效电路模型-改进高斯过程回归的锂离子电池荷电状态（SOC）-健康状态（SOH）的联合估计框架。该框架通过提取容量增量曲线中的健康特征,进行主成分分析,然后建立电池老化的改进高斯过程回归模型进行SOH预测。在此基础上,建立锂电池一阶状态空间模型,并结合改进粒子滤波算法对后一周期的SOC更新,实现SOC及SOH的联合长期估计。牛津数据集中的8个电池被用来验证该框架的准确性和适应性,取得了较好的估计结果。

Abstract

State of charge and state of health estimation of Li-ion batteries are important elements of battery management systems, but existing studies usually ignore the association between them and estimating them separately. Therefore, this paper proposes a joint estimation framework of SOC-SOH for Li-ion battery based on Equivalent Circuit Model-Improved Gaussian Process Regression, which updates the SOC estimation with the single-cycle prediction of SOH. The contents are as follow： At first, HFs in the Incremental Capacity curve were extracted and Principal Component Analysis was performed to realize the optimization of HFs. And then the IGPR model for battery aging was developed for SOH prediction. On this basis, the state space model of Li-ion battery was established based on the parameter identification results and capacity estimates, which was combined with the Particle Filter algorithm to update the SOC estimation of the latter cycle. Thus, the joint estimation of SOH and SOC is achieved. Lastly, the eight cells in the Oxford dataset were used to verify the accuracy and adaptability of the framework. Eight batteries from the Oxford dataset are used to validate the accuracy and adaptability of the framework, which achieves good results.

导出引用

李谦, 姜帆, 韩乔妮, 张吉昂, 程泽, 苏展, 马伯杨. 基于一阶ECM-IGPR的锂离子电池SOC及SOH联合估计框架[J]. 太阳能学报. 2024, 45(5): 240-250 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0024

Li Qian, Jiang Fan, Han Qiaoni, Zhang Ji’ang, Cheng Ze, Su Zhan, Ma Boyang. JOINT FIRST ORDER SOC AND SOH ESTIMATION FRAMEWORK FOR LI-ION BATTERY BASED ON ECM-IGPR[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 240-250 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0024

中图分类号： TM912.1

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