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Energies 2017, 10(1), 5; doi:10.3390/en10010005

Improved Battery Parameter Estimation Method Considering Operating Scenarios for HEV/EV Applications

1
Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
3
Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA 92093, USA
4
School of Control Science and Engineering, Shandong University, Jinan 250061, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Rui Xiong
Received: 3 October 2016 / Revised: 7 December 2016 / Accepted: 13 December 2016 / Published: 22 December 2016
(This article belongs to the Special Issue Advanced Energy Storage Technologies and Their Applications (AESA))
View Full-Text   |   Download PDF [7886 KB, uploaded 22 December 2016]   |  

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. View Full-Text
Keywords: lithium-ion battery; operating scenario; equivalent circuit modeling; parameter estimation lithium-ion battery; operating scenario; equivalent circuit modeling; parameter estimation
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Yang, J.; Xia, B.; Shang, Y.; Huang, W.; Mi, C. Improved Battery Parameter Estimation Method Considering Operating Scenarios for HEV/EV Applications. Energies 2017, 10, 5.

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