Effects of Battery Model on the Accuracy of Battery SOC Estimation Using Extended Kalman Filter under Practical Vehicle Conditions Including Parasitic Current Leakage and Diffusion Of Voltage-Reference-Cited by-同舟云学术

Effects of Battery Model on the Accuracy of Battery SOC Estimation Using Extended Kalman Filter under Practical Vehicle Conditions Including Parasitic Current Leakage and Diffusion Of Voltage

Published:2021-09-26 Issue:5 Volume:22 Page:1337-1346
ISSN:1229-9138
Container-title:International Journal of Automotive Technology
language:en
Short-container-title:Int.J Automot. Technol.

Author:

Oh Hyunjong,Jeon Jeehwan,Park Sungjin

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12239-021-0116-1.pdf

Reference28 articles.

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3. Butler, K. L., Ehsani, M. and Kamath, P. (1999). A Matlab-based modeling and simulation package for electric and hybrid electric vehicle design. IEEE Trans. Vehicular Technology 48,6, 1770–1778.

4. Coleman, M., Lee, C. K., Zhu, C. and Hurley, W. G. (2007). State-of-charge determination from EMF voltage estimation: Using impedance, terminal voltage, and current for lead-acid and lithium-ion batteries. IEEE Trans. Industrial Electronics 54, 5, 2550–2557.

5. Farag, M., Fleckenstein, M. and Habibi, S. R. (2014). Li-ion battery SOC estimation using non-linear estimation strategies based on equivalent circuit models. SAE Technical Paper No. 2014-01-1849.

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