A Nonlinear Observer Approach of SOC Estimation Based on Hysteresis Model for Lithium-ion Battery

被引:1
作者
Yan Ma [1 ,2 ]
Bingsi Li [3 ]
Guangyuan Li [3 ]
Jixing Zhang [4 ]
Hong Chen [5 ,1 ,2 ]
机构
[1] State Key Laboratory of Automotive Simulation and Control,Jilin University
[2] Department of Control Science and Engineering,Jilin University(Campus Nanling)
[3] Jilin University
[4] Beijing Institute for Control and Electronic Technology
[5] IEEE
关键词
AMESim; hysteresis model; input-to-state stability (ISS) observer; Lithium-ion battery; state of charge(SOC);
D O I
暂无
中图分类号
TM912 [蓄电池];
学科分类号
0808 ;
摘要
In this paper, a state of charge(SOC) estimation approach for lithium-ion battery based on equivalent circuit model and the input-to-state stability(ISS) theory has been proposed. According to the electrochemical performance of lithiumion battery, the equivalent circuit model with two RC networks is established, which includes hysteresis characteristic in inner electrochemical response process. The nonlinear relation between open circuit voltage(OCV) and SOC is obtained from a rapid test. Exponential fitting method is used to identify the parameters of the model. A novel state observer based on ISS theory is designed for lithium-ion battery SOC estimation. The designed observer is tested on AMESim and Simulink co-simulation. The simulation results show that the proposed method has a high SOC estimation accuracy with an error of about 2 percent.
引用
收藏
页码:195 / 204
页数:10
相关论文
共 50 条
[41]   Non-Fragile H∞ Nonlinear Observer for State of Charge Estimation of Lithium-Ion Battery Based on a Fractional-Order Model [J].
Zhang, Zhongwei ;
Zhou, Dan ;
Xiong, Neng ;
Zhu, Qiao .
ENERGIES, 2021, 14 (16)
[42]   Research on online parameter identification and SOC estimation methods of lithium-ion battery model based on a robustness analysis [J].
Wang, Yongchao ;
Meng, Dawei ;
Chang, Yujia ;
Zhou, Yongqin ;
Li, Ran ;
Zhang, Xiaoyu .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (15) :21234-21253
[43]   A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation [J].
Hu, Chao ;
Youn, Byeng D. ;
Chung, Jaesik .
APPLIED ENERGY, 2012, 92 :694-704
[44]   Battery Management System for SOC Estimation of Lithium-Ion Battery in Electric Vehicle: A Review [J].
Shete, Suwarna ;
Jog, Pranjal ;
Kumawat, R. K. ;
Palwalia, D. K. .
6TH IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (ICRAIE), 2021,
[45]   A Robust State of Charge Estimation Approach Based on Nonlinear Battery Cell Model for Lithium-Ion Batteries in Electric Vehicles [J].
Kim, Wooyong ;
Lee, Pyeong-Yeon ;
Kim, Jonghoon ;
Kim, Kyung-Soo .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) :5638-5647
[46]   State of Charge Estimation of Power Lithium-ion Battery Based on Sliding Mode Observer [J].
Wu Tie-zhou ;
Wang Ming-yue ;
Xiao Qin .
ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 :1692-+
[47]   Lithium-ion battery SOC/SOH adaptive estimation via simplified single particle model [J].
Cen, Zhaohui ;
Kubiak, Pierre .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (15) :12444-12459
[48]   A framework of joint SOC and SOH estimation for lithium-ion batteries: Using BiLSTM as a battery model [J].
Li, Shuhua ;
Jiang, Zelong ;
Zhu, Zhongwen ;
Jiang, Weihai ;
Ma, Yan ;
Sang, Xuan ;
Yang, Shiyi .
JOURNAL OF POWER SOURCES, 2025, 635
[49]   Adaptive Estimation of the State of Charge for Lithium-Ion Batteries: Nonlinear Geometric Observer Approach [J].
Wang, Yebin ;
Fang, Huazhen ;
Sahinoglu, Zafer ;
Wada, Toshihiro ;
Hara, Satoshi .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (03) :948-962
[50]   An LSTM-Based Approach For Capacity Estimation on Lithium-ion Battery [J].
Cao, Mengda ;
Zhang, Yajun ;
Hui, Jianjiang ;
Liu, Yajie .
PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, :494-499