基于电化学模型的锂离子电池健康状态估算  

Health State Estimation of Li-Ion Batteries Based on Electrochemical Model

作　　者：高仁璟[1,2] 吕治强 赵帅 黄现国[3] GAO Renjing;LÜZhiqiang;ZHAO Shuai;HUANG Xianguo(State Key Laboratory of Structural Analysis for Industrial Equipment,Dalian University of Technology,Dalian,Liaoning116000,China;Ningbo Institute of Dalian University of Technology,Ningbo,Zhejiang 315016,China;Laiwu Branch of Shandong Iron&Steel Co.,LTD.,Laiwu,Shandong 271104,China)

机构地区：[1]大连理工大学工业装备结构分析国家重点实验室,辽宁大连116000 [2]大连理工大学宁波研究院,浙江宁波315016 [3]山东钢铁股份有限公司莱芜分公司,山东莱芜271104

出　　处：《北京理工大学学报》2022年第8期791-797,共7页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(12172076,U1808215)。

摘　　要：针对电动汽车锂离子电池健康状态在线估算问题,提出了一种基于伪二维模型参数的估算方法.该方法通过拆解同类估算目标电池,以扫描电镜测量电池结构参数,利用遗传算法辨识其他未知电化学模型参数,建立一种新的基于化学计量比的电池正极容量计算法则,估算电池健康状态.同时考虑老化对电池正极化学计量比的影响,进一步提高健康状态估算精度.采用电池老化数据集验证该方法的有效性,结果表明所提出的估算方法能在短时动态工况下实现电池健康状态的准确在线估算.To estimate online health state of Li-Ion batteries in electric vehicles accurately,a method was proposed based on the parameters of a pseudo-two-dimensional model.Firstly,disassembling congeneric objective batteries and measuring their structural parameters using scanning electron microscopy,the method was arranged to get some unknown parameters based on genetic algorithm for an electrochemical model.Then,a new stoichiometry ratio-based battery positive capacity calculation was established to estimate the health state of battery.Considering the influence of aging on the stoichiometry ratio in the positive electrode,the estimation accuracy of health state was further improved.Finally,a battery aging dataset was used to verify the validity of the method.The results show that the proposed estimation method can achieve an accurate online estimation of battery health state in short dynamic loading.

关 键 词：锂离子电池 健康状态 伪二维模型 遗传算法 

分 类 号：TM912[电气工程—电力电子与电力传动]