A Lithium-Ion Battery Simulator Based on a Diffusion and Switching Overpotential Hybrid Model for Dynamic Discharging Behavior and Runtime Predictions

Lan-Rong Dung, Hsiang-Fu Yuan, Jieh-Hwang Yen, Chien-Hua She and Ming-Han Lee
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Lan-Rong Dung: Department of Electrical and Computer Engineering, National Chiao-Tung University, 1001 Ta-Hsueh Rd., Hsinchu 30010, Taiwan
Hsiang-Fu Yuan: Institute of Electrical Control Engineering, National Chiao-Tung University, 1001 Ta-Hsueh Rd., Hsinchu 30010, Taiwan
Jieh-Hwang Yen: Institute of Electrical Control Engineering, National Chiao-Tung University, 1001 Ta-Hsueh Rd., Hsinchu 30010, Taiwan
Chien-Hua She: MiTAC International Corp., No. 1, R & D 2nd Road, Hsinchu Science-Based Industrial Park, Hsinchu 30010, Taiwan
Ming-Han Lee: Department of Electrical and Computer Engineering, National Chiao-Tung University, 1001 Ta-Hsueh Rd., Hsinchu 30010, Taiwan

Energies, 2016, vol. 9, issue 1, 1-21

Abstract: A new battery simulator based on a hybrid model is proposed in this paper for dynamic discharging behavior and runtime predictions in existing electronic simulation environments, e.g., PSIM, so it can help power circuit designers to develop and optimize their battery-powered electronic systems. The hybrid battery model combines a diffusion model and a switching overpotential model, which automatically switches overpotential resistance mode or overpotential voltage mode to accurately describe the voltage difference between battery electro-motive force (EMF) and terminal voltage. Therefore, this simulator can simply run in an electronic simulation software with less computational efforts and estimate battery performances by further considering nonlinear capacity effects. A linear extrapolation technique is adopted for extracting model parameters from constant current discharging tests, so the EMF hysteresis problem is avoided. For model validation, experiments and simulations in MATLAB and PSIM environments are conducted with six different profiles, including constant loads, an interrupted load, increasing and decreasing loads and a varying load. The results confirm the usefulness and accuracy of the proposed simulator. The behavior and runtime prediction errors can be as low as 3.1% and 1.2%, respectively.

Keywords: battery simulator; overpotential; linear extrapolation; diffusion model; equivalent circuit model (ECM); rate capacity effect; recovery effect (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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