A Comparative Study of Three Improved Algorithms Based on Particle Filter Algorithms in SOC Estimation of Lithium Ion Batteries

Bizhong Xia, Zhen Sun, Ruifeng Zhang, Deyu Cui, Zizhou Lao, Wei Wang, Wei Sun, Yongzhi Lai and Mingwang Wang
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Bizhong Xia: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Zhen Sun: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Ruifeng Zhang: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Deyu Cui: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Zizhou Lao: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Wei Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China
Wei Sun: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China
Yongzhi Lai: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China
Mingwang Wang: Sunwoda Electronic Co. Ltd., Shenzhen 518108, China

Energies, 2017, vol. 10, issue 8, 1-14

Abstract: The state of charge (SOC) is an important parameter for batteries, especially those for electric vehicles. Since SOC cannot be obtained directly by measurement, SOC estimation methods are required. In this paper, three model-based methods, including the extended particle filter (EPF), cubature particle filter (CPF), and unscented particle filter (UPF), are compared in terms of complexity, accuracy, and robustness. The second-order resistor-capacitor (RC) equivalent circuit model is selected as the circuit model of the lithium-ion battery, and the parameters of the model are obtained by off-line identification. Then, the City test is applied to compare the performance of the methods. The experimental results show that the EPF method exhibits low complexity and fast running speed, but poor accuracy and robustness. Compared with the EPF method, the complexity of the CPF and UPF methods is relatively high, but these models offer improved accuracy and robustness.

Keywords: state of charge; lithium-ion battery; extended particle filter (EPF); cubature particle filter (CPF); unscented particle filter (UPF) (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 (14)

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