An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries.

Wu, Fan; Wang, Shunli; Liu, Donglei; Cao, Wen; Fernandez, Carlos

Abstract

The accurate estimation of state of energy (SOE) is the key to the rational energy distribution of lithium-ion battery based energy storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying bounded layer based smooth variable structure filtering algorithm. First, based on the solid temporal nature of the estimated parameters, a BiGRU neural network structure is constructed to strengthen further the influence of past and future information on the current estimates. Then, based on the traditional variable structure filtering, a time-varying bounded layer smoothing mechanism with saturation restriction (TS-VBL) is proposed to smooth the output of BiGRU to obtain a more accurate estimate. Finally, the test was conducted under 15℃ hybrid pulse power characterization (HPPC) and 35℃ Beijing bus dynamic stress test (BBDST). Compared with other algorithms, the BiGRU-TSVSF algorithm has a minor maximum estimation error of 0.00495 and 0.00722, respectively. The experimental results show that the algorithm has high precision and robustness and is of great value to the energy storage research of energy storage equipment.

Citation

WU, F., WANG, S., LIU, D., CAO, W. and FERNANDEZ, C. 2023. An improved bidirectional gate recurrent unit combined with smoothing filter algorithm for state of energy estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 363-368. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349332

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 3rd New energy and energy storage system control summit forum, 2023 (NEESSC 2023)
• Start Date: Sep 26, 2023
• End Date: Sep 28, 2023
• Acceptance Date: Sep 20, 2023
• Online Publication Date: Dec 31, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Feb 1, 2024
• Publicly Available Date: Feb 2, 2024
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 363-368
• DOI: https://doi.org/10.1109/NEESSC59976.2023.10349332
• Keywords: State of energy; Smooth variable structure filtering; Bidirectional gate recurrent unit; Time-varying bounded layer; Energy storage
• Public URL: https://rgu-repository.worktribe.com/output/2225989