An Improved Model Equation Based on a Gaussian Function Trinomial for State of Charge Estimation of Lithium-ion Batteries

Jinqing Linghu, Longyun Kang, Ming Liu, Bihua Hu and Zefeng Wang
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Jinqing Linghu: New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
Longyun Kang: New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
Ming Liu: New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
Bihua Hu: New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China
Zefeng Wang: New Energy Research Center, School of Electric Power, South China University of Technology, Guangzhou 510640, China

Energies, 2019, vol. 12, issue 7, 1-15

Abstract: Establishing a model equation with high accuracy and high computational efficiency is very important for the estimation of battery state of charge (SOC). To ensure better SOC estimation results, most studies have focused on the improvement of the algorithm, while the impact of the model equation which may offset the benefits of advanced algorithms has been overlooked. To address this problem, this paper studies the widely used model equations and presents a new model equation based on a Gaussian function that improves the SOC estimation accuracy and computational efficiency. With the Worldwide harmonized Light Vehicles Test Cycle (WLTC) which is highly dynamic and more realistic than any other driving cycles, the proposed model equation is applied to different filtering algorithms to validate its performance in SOC estimation. The results indicate that the proposed model equation can greatly improve the accuracy of SOC estimation without an increase of computation. In addition, for the traditional polynomial-based model equations, the 6th-order power function polynomial has better performance in SOC estimation than polynomials with other orders.

Keywords: lithium-ion battery; state of charge; model equation; Gaussian function trinomial; filtering algorithm (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 (3)

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