Improved Battery Parameter Estimation Method Considering Operating Scenarios for HEV/EV Applications
Jufeng Yang,
Bing Xia,
Yunlong Shang,
Wenxin Huang and
Chris Mi
Additional contact information
Jufeng Yang: Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Bing Xia: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Yunlong Shang: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Wenxin Huang: Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Chris Mi: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Energies, 2016, vol. 10, issue 1, 1-20
Abstract:
This paper presents an improved battery parameter estimation method based on typical operating scenarios in hybrid electric vehicles and pure electric vehicles. Compared with the conventional estimation methods, the proposed method takes both the constant-current charging and the dynamic driving scenarios into account, and two separate sets of model parameters are estimated through different parts of the pulse-rest test. The model parameters for the constant-charging scenario are estimated from the data in the pulse-charging periods, while the model parameters for the dynamic driving scenario are estimated from the data in the rest periods, and the length of the fitted dataset is determined by the spectrum analysis of the load current. In addition, the unsaturated phenomenon caused by the long-term resistor-capacitor (RC) network is analyzed, and the initial voltage expressions of the RC networks in the fitting functions are improved to ensure a higher model fidelity. Simulation and experiment results validated the feasibility of the developed estimation method.
Keywords: lithium-ion battery; operating scenario; equivalent circuit modeling; parameter estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)
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