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Volume 4 Issue 2
Apr.  2017

IEEE/CAA Journal of Automatica Sinica

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Article Contents
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

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

doi: 10.1109/JAS.2017.7510502

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

More Information
  • 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.


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