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LI C Y, ZHANG Y, ZHAO Y,et al.Online parameter identification of lithium battery equivalent circuit model based on HPPC-FFRLS[J].Journal of Henan Polytechnic University(Natural Science) ,2024,43(5):127-132.

基于HPPC-FFRLS的锂电池等效模型参数在线辨识

李长有, 张颖, 赵勇, 高国富

河南理工大学 机械与动力工程学院，河南 焦作 454000

摘要: 目的 为了实现锂离子动力电池的高精度状态监测与分析，  方法 针对锂离子动力电池二阶RC等效电路模型的参数在线辨识展开研究。搭建锂离子动力电池二阶RC等效电路模型；利用开路电压法与安-时积分算法相结合的方式进行电池荷电状态（SOC）评估；通过HPPC测试实验数据进行等效电路模型的离线参数辨识；以离线辨识结果作为系统状态初值，结合带遗忘因子的递推最小二乘算法（FFRLS）对锂离子动力电池二阶RC等效电路模型参数进行在线辨识；利用Simulink搭建电池状态监测和充放电控制仿真系统，对基于在线辨识参数的模型进行仿真测试；利用可编程电源和电子负载搭建实验平台。  结果 对比在线辨识参数的系统仿真输出、离线辨识参数的系统仿真输出和实验数据，结果表明：基于HPPC-FFRLS在线辨识的模型仿真输出的误差相对于HPPC实验法减小了50%；在线辨识策略克服了环境温度、电池老化、充放电倍率等因素对参数的影响；仿真初期系统波动明显减小，等效模型系统动态跟踪具有更高的精度，鲁棒性更好。 结论 基于HPPC-FFRLS的锂电池等效模型在线辨识保证了模型参数的有效性，简化运算量的同时提高了模型精度。

关键词:锂电池;二阶RC等效电路模型;HPPC测试;在线参数辨识;FFRLS

doi:10.16186/j.cnki.1673-9787.2022080023

基金项目:国家自然科学基金资助项目（52275419）；河南省科技攻关项目（222102240022）；河南理工大学自然科学基金资助项目（B2021-38）

收稿日期:2022/08/13

修回日期:2022/12/19

出版日期:2024/07/31

Online parameter identification of lithium battery equivalent circuit model based on HPPC-FFRLS

LI Changyou, ZHANG Ying, ZHAO Yong, GAO Guofu

School of Mechanical and Power Engineering，Henan Polytechnic University，Jiaozuo 454000，Henan，China

Abstract: Objectives In order to realize high-precision condition monitoring and analysis of lithium-ion power battery，  Methods the study on the online identification of the parameters of the second-order RC equivalent circuit model of lithium-ion power battery was carried out.The second-order RC equivalent circuit model of lithium-ion power battery was constructed.The open-circuit voltage method and the ampere-time integration algorithm were combined to evaluate the state of charge（SOC） of the battery.The offline parameter identification of the equivalent circuit model was carried out through the experimental data of HPPC test.The offline identification results were taken as the initial value of the system state，and the recursive least squares algorithm with forgetting factor（FFRLS） was combined to carry out the online identification of the parameters of the second-order RC equivalent circuit model of the lithium-ion power battery.Simulink was used to build a simulation system of battery state monitoring and charge/discharge control，the model based on the online identification parameters was simulated and tested，and the experimental platform was built by using the programmable power supply and electronic load. Results Comparing the system simulation output of online parameter identification，offline parameter identification and experimental data，the results showed that：The simulation error of the model based on HPPC-FFRLS was reduced by 50% compared with that of the HPPC experimental method，the online identification strategy overcomed the influences of ambient temperature，aging of the battery，and charge/discharge rate；The fluctuation of the system at the early stage of the simulation was reduced significantly，and the equivalent model system dynamic tracking had a better level，the robustness got better.  Conclusions The online parameter identification of lithium battery equivalent circuit model based on HPPC-FFRLS ensured the effectiveness of the model parameters，improved the model accuracy，and reduced the calculation.

Key words:lithium battery;second-order RC equivalent circuit model;HPPC testing;online parameter identification;FFRLS