A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles

Woo-Yong Kim, Pyeong-Yeon Lee, Jonghoon Kim and Kyung-Soo Kim
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Woo-Yong Kim: Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 291, Korea
Pyeong-Yeon Lee: Department of Electric Engineering, Chungnam National University, Daejeon 99, Korea
Jonghoon Kim: Department of Electric Engineering, Chungnam National University, Daejeon 99, Korea
Kyung-Soo Kim: Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 291, Korea

Energies, 2019, vol. 12, issue 17, 1-20

Abstract: This paper presents a nonlinear-model-based observer for the state of charge estimation of a lithium-ion battery cell that always exhibits a nonlinear relationship between the state of charge and the open-circuit voltage. The proposed nonlinear model for the battery cell and its observer can estimate the state of charge without the linearization technique commonly adopted by previous studies. The proposed method has the following advantages: (1) The observability condition of the proposed nonlinear-model-based observer is derived regardless of the shape of the open circuit voltage curve, and (2) because the terminal voltage is contained in the state vector, the proposed model and its observer are insensitive to sensor noise. A series of experiments using an INR 18650 25R battery cell are performed, and it is shown that the proposed method produces convincing results for the state of charge estimation compared to conventional SOC estimation methods.

Keywords: nonlinear battery model; state of charge estimation; lithium-ion battery; Lipschitz nonlinear system; Luenberger observer (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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