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

Yan Ma; Bingsi Li; Guangyuan Li; Jixing Zhang; Hong Chen

doi:10.1109/JAS.2017.7510502

Volume 4 Issue 2

Apr. 2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(2): 195-204

Yan Ma, Bingsi Li, Guangyuan Li, Jixing Zhang and Hong Chen, "A Nonlinear Observer Approach of SOC Estimation Based on Hysteresis Model for Lithium-ion Battery," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 195-204, Apr. 2017. doi: 10.1109/JAS.2017.7510502

Citation:

Yan Ma, Bingsi Li, Guangyuan Li, Jixing Zhang and Hong Chen, "A Nonlinear Observer Approach of SOC Estimation Based on Hysteresis Model for Lithium-ion Battery," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 195-204, Apr. 2017. doi: 10.1109/JAS.2017.7510502

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

doi: 10.1109/JAS.2017.7510502

Yan Ma^1
,,
Bingsi Li^2
,,
Guangyuan Li^2
,,
Jixing Zhang^3
,,
Hong Chen^{1
,
,}

1.
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China
2.
Jilin University, Changchun 130012, China
3.
Beijing Institute for Control and Electronic Technology, Beijing 100038, China

Funds:

This work was supported by the High Technology Research and Development Program of Jilin 20130204021GX

the Specialized Research Fund for Graduate Course Identification System Program (Jilin University) of China 450060523183

the National Natural Science Foundation of China 61520106008

the National Natural Science Foundation of China U1564207

the National Natural Science Foundation of China 61503149

the Education Department of Jilin Province of China 2016430

the Graduate Innovation Fund of Jilin University 2016030

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Author Bio:
Yan Ma received the B.S.degree in the Automation Department from Harbin Engineering University, China, in 1992, M.S.and Ph.D.degrees in the Department of Control Science and Engineering from Jilin University, China, in 1995 and 2006.In 1995, she joined former Jilin University of Technology. She has been a post doctor at Poly University, Hong Kong, China.Since 2009, she has been a professor at Jilin University.Her current research interests include nonlinear estimation methods and applications in power management system of EV, and robust filter methods.(e-mail: yma@jlu.edu.cn)

Bingsi Li graduated from Jilin University, China, in 2014. She is currently a master student in the Department of Control Science and Engineering, Jilin University, China. Her main research interest is battery management system of EV.(e-mail: lbsmichelle@163.com)

Guangyuan Li graduated from Jilin University, China, in 2015. He is currently a master student in the Department of Control Science and Engineering, Jilin University, China. His main research interest is battery management system.(18204312059@163.com)

Jixing Zhang received her M. S. degree from the Department of Control Science and Engineering, Jilin University, China, in 2015. Her main research interest is battery management system.(e-mail: jixiangyu318@126.com)
Corresponding author: Hong Chen received the B. S. and M. S. degrees in process control from Zhejiang University, China, in 1983 and 1986, respectively, and Ph. D. degree from the University of Stuttgart, Germany, in 1997. In 1986, she joined Jilin University of Technology, China. From 1993 to 1997, she was a Wissenschaftlicher Mitarbeiter at the Institut Fuer Systemdynamik und Regelungstechnik, University of Stuttgart. Since 1999, she has been a professor at Jilin University, where she serves currently as Tang Aoqing Professor. Her current research interests include model predictive control, optimal and robust control, nonlinear control and applications in process engineering and mechatronic systems. Corresponding author of this paper.(chenh98cn@126.com)
Received Date: 2015-10-31
Accepted Date: 2016-04-01

Abstract

Abstract

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.
- AMESim,
- hysteresis model,
- input-to-state stability (ISS) observer,
- Lithium-ion battery,
- state of charge (SOC)

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References

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

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