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

Li, N, He, F, Ma, W, Jiang, L ORCID: 0000-0001-6531-2791 and Zhang, X (2022) State-of-Charge Estimation of Lithium-Ion Battery Based on Gated Recurrent Unit Using Empirical Mode Decomposition. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 37 (17). pp. 4528-4536.

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Abstract

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%.

Item Type:	Article
Depositing User:	Symplectic Admin
Date Deposited:	16 Nov 2022 11:14
Last Modified:	18 Dec 2023 13:34
DOI:	10.19595/j.cnki.1000-6753.tces.211069
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166225