State-of-Charge Estimation of Lithium-Ion Battery Based on Gated Recurrent Unit Using Empirical Mode Decomposition

被引：0
|
作者：
Li N. [1 ]
He F. [1 ]
Ma W. [1 ]
Jiang L. [2 ]
Zhang X. [3 ]
机构：
[1] School of Electrical Engineering, Xi'an University of Technology, Xi’an
[2] Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool
[3] Department of Electronics, Electrical and Systems Engineering, University of Birmingham, Birmingham
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 17期
关键词：
empirical mode decomposition; gated recurrent unit; Lithium-ion battery; state-of-charge estimation;
D O I：
10.19595/j.cnki.1000-6753.tces.211069
中图分类号：
学科分类号：
摘要：
State of charge (SOC) estimation technology of lithium-ion battery is an important part of the battery management system (BMS) design of electric vehicles. In this paper, an SOC estimation method for lithium-ion batteries based on gated recurrent unit (GRU) using empirical mode decomposition (EMD) is proposed. The EMD algorithm is introduced to decompose the discharge current, based on the GRU estimation of the SOC, which not only improves the ability of the GRU model to maintain long-term information for long-term current signals, but also betters the accuracy of SOC estimation of lithium-ion battery. Simulation experiments show that, compared with the traditional recurrent neural network and long-term and short-term memory network, the EMD-GRU method proposed in this paper displays the average absolute error of the lithium-ion battery SOC estimation is 1.509 3%, a year-on-year decrease of 20.792 4%. © 2022 Chinese Machine Press. All rights reserved.
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页码：4528 / 4536
页数：8
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