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An electric circuit based EV battery model for runtime prediction and state of charge tracking

conference contribution
posted on 2024-11-16, 04:11 authored by Kaveh Sarrafan, Darmawan SoetantoDarmawan Soetanto, Kashem MuttaqiKashem Muttaqi
Battery modeling plays a crucial role in improving the performance of battery powered systems especially in electric vehicle (EV) applications. To date, many state-of-the-art battery models have been proposed by researchers to improve the performance of electric vehicles. In this paper, an electric circuit based approach for electric vehicle battery model capable of capturing dynamic capacity rate effects for runtime prediction, state of charge tracking and I-V performance is proposed. To compare the results, two well-known electrical circuit based battery models are accurately modeled in MATLAB Simulink and the accuracy and the simplicity of each model are then compared with the proposed model in this paper with the emphasis on rate capacity effects for state of charge tracking and runtime prediction. To extract the battery parameters and to verify the results of each battery model, experimental tests have also been conducted on four Li-ion LGHG2 3 Ah battery cells connected in series.

Funding

Distributed energy storage management system

Australian Research Council

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History

Citation

K. Sarrafan, D. Soetanto & K. M. Muttaqi, "An electric circuit based EV battery model for runtime prediction and state of charge tracking," in 2017 IEEE Transportation Electrification Conference (ITEC-India), 2017, pp. 1-6.

Parent title

2017 IEEE Transportation Electrification Conference, ITEC-India 2017

Volume

2018-January

Pagination

1-6

Language

English

RIS ID

128933

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