State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer


Vol. 14, No. 5, pp. 1038-1046, Sep. 2014
10.6113/JPE.2014.14.5.1038


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 Abstract

Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is afundamental issue in vehicle power train control and battery management systems. This study proposes a novelmodel-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor?capacitor equivalent circuitmodel. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer isdesigned to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC canthen be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving teststhat use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results provethat the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% underdifferent driving cycles.


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Cite this article

[IEEE Style]

Y. Zhao, H. Yun, S. Liu, H. Jiao, C. Wang, "State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer," Journal of Power Electronics, vol. 14, no. 5, pp. 1038-1046, 2014. DOI: 10.6113/JPE.2014.14.5.1038.

[ACM Style]

Yulan Zhao, Haitao Yun, Shude Liu, Huirong Jiao, and Chengzhen Wang. 2014. State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer. Journal of Power Electronics, 14, 5, (2014), 1038-1046. DOI: 10.6113/JPE.2014.14.5.1038.