Online Internal Resistance Measurement Application in Lithium Ion Battery Capacity and State of Charge Estimation

Yun Bao, Wenbin Dong and Dian Wang
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Yun Bao: Department of Applied Physics, Donghua University, Shanghai 201620, China
Wenbin Dong: Department of Applied Physics, Donghua University, Shanghai 201620, China
Dian Wang: Department of Applied Physics, Donghua University, Shanghai 201620, China

Energies, 2018, vol. 11, issue 5, 1-11

Abstract: State of charge (SOC) and state of health (SOH) are two significant state parameters for the lithium ion batteries (LiBs). In obtaining these states, the capacity of the battery is an indispensable parameter that is hard to detect directly online. However, there is a strong correlation relationship between this parameter and battery internal resistance. This article first shows a simple and effective online internal resistance detection method. Secondly, the relationship between the measured internal resistance and the LiBs capacity is established by linear fitting. Finally, the capacity through internal resistance conversion is applied in SOC estimation. The estimation results show that this method can effectively enhance the SOC estimation accuracy regardless of temperature change and battery degradation.

Keywords: lithium ion battery; capacity; state of charge; state of health; online internal resistance; linear fitting (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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