A New State of Charge Estimation Algorithm for Lithium-Ion Batteries Based on the Fractional Unscented Kalman Filter

Yixing Chen, Deqing Huang, Qiao Zhu, Weiqun Liu, Congzhi Liu and Neng Xiong
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Yixing Chen: School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Deqing Huang: School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Qiao Zhu: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Weiqun Liu: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Congzhi Liu: The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Neng Xiong: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Energies, 2017, vol. 10, issue 9, 1-19

Abstract: An accurate state of charge (SOC) estimation is the basis of the Battery Management System (BMS). In this paper, a new estimation method which considers fractional calculus is proposed to estimate the lithium battery state of charge. Firstly, a modified second-order RC model based on fractional calculus theory is developed to model the lithium battery characteristics. After that, a pulse characterization test is implemented to obtain the battery terminal voltage and current, in which the parameter identification is completed based on least square method. Furthermore, the proposed method based on Fractional Unscented Kalman Filter (FUKF) algorithm is applied to estimate the battery state of charge value in both static and dynamic battery discharging experiment. The experimental results have demonstrated that the proposed method shows high accuracy and efficiency for state of charge estimation and the fractional calculus contributes to the battery state of charge estimation.

Keywords: second-order RC circuit model; fractional calculus; Fractional Unscented Kalman Filter; SOC estimation (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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