State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter

Bizhong Xia, Haiqing Wang, Yong Tian, Mingwang Wang, Wei Sun and Zhihui Xu
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Bizhong Xia: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Haiqing Wang: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Yong Tian: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Mingwang Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China
Wei Sun: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China
Zhihui Xu: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China

Energies, 2015, vol. 8, issue 6, 1-21

Abstract: Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging. However, it is difficult to get an accurate value of SOC since it is an inner sate of a battery cell, which cannot be directly measured. This paper presents an Adaptive Cubature Kalman filter (ACKF)-based SOC estimation algorithm for lithium-ion batteries in electric vehicles. Firstly, the lithium-ion battery is modeled using the second-order resistor-capacitor (RC) equivalent circuit and parameters of the battery model are determined by the forgetting factor least-squares method. Then, the Adaptive Cubature Kalman filter for battery SOC estimation is introduced and the estimated process is presented. Finally, two typical driving cycles, including the Dynamic Stress Test (DST) and New European Driving Cycle (NEDC) are applied to evaluate the performance of the proposed method by comparing with the traditional extended Kalman filter (EKF) and cubature Kalman filter (CKF) algorithms. Experimental results show that the ACKF algorithm has better performance in terms of SOC estimation accuracy, convergence to different initial SOC errors and robustness against voltage measurement noise as compared with the traditional EKF and CKF algorithms.

Keywords: Adaptive Cubature Kalman filter; state of charge; lithium-ion battery; electric vehicle (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: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)

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