A Time-Efficient and Accurate Open Circuit Voltage Estimation Method for Lithium-Ion Batteries

Yingjie Chen, Geng Yang, Xu Liu and Zhichao He
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Yingjie Chen: Department of Automation, Tsinghua University, Beijing 100084, China
Geng Yang: Department of Automation, Tsinghua University, Beijing 100084, China
Xu Liu: Department of Automation, Tsinghua University, Beijing 100084, China
Zhichao He: Department of Automation, Tsinghua University, Beijing 100084, China

Energies, 2019, vol. 12, issue 9, 1-20

Abstract: The open circuit voltage (OCV) of lithium-ion batteries is widely used in battery modeling, state estimation, and management. However, OCV is a function of state of charge (SOC) and battery temperature ( T bat ) and is very hard to estimate in terms of time efficiency and accuracy. This is because two problems arise in normal operations: (1) T bat changes with the current ( I ), which makes it very hard to obtain the data required to estimate OCV—terminal voltage ( U ) data of different I under the same T bat ; (2) the difference between U and OCV is a complex nonlinear function of I and is very difficult to accurately calculate. Therefore, existing methods have to design special experiments to avoid these problems, which are very time consuming. The proposed method consists of a designed test and a data processing algorithm. The test is mainly constant current tests (CCTs) of large I , which is time-efficient in obtaining data. The algorithm solves the two problems and estimates OCV accurately using the test data. Experimental results and analyses showed that experimental time was reduced and estimation accuracy was adequate.

Keywords: lithium-ion battery; open circuit voltage estimation; state of charge; battery temperature (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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