Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares.

Liang, Yawen; Wang, Shunli; Fan, Yongcun; Yang, Xiao; Xie, Yanxin; Fernandez, Carlos

Abstract

This work aims to improve the accuracy of state of charge estimation for lithium-ion battery, as well as to accurately estimate state of health. This study presents a piecewise forgetting factor recursive least squares method based on integral separation with a second-order resistor-capacitor model and uses a novel adaptive filter based on error covariance correction on the conventional dual extended Kalman filter. The experiments show that the error of SOC estimation is less than 0.61% and the error of SOH is less than 0.09% under different complex conditions, the proposed method can effectively improve the estimation accuracy and robustness.

Citation

LIANG, Y., WANG, S., FAN, Y., YANG, X., XIE, Y. and FERNANDEZ, C. 2022. Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares. In Proceedings of the 4th Smart power and internet energy systems international conference 2022 (SPIES 2022): towards a net-zero carbon future, 9-12 December 2022, Beijing, China. Piscataway: IEEE [online], pages 1923-1927. Available from https://doi.org/10.1109/spies55999.2022.10082478

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 4th Smart power and internet energy systems international conference 2022 (SPIES 2022): towards a net-zero carbon future
• Start Date: Dec 9, 2022
• End Date: Dec 12, 2022
• Acceptance Date: Sep 8, 2022
• Online Publication Date: Dec 12, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Apr 6, 2023
• Publicly Available Date: Apr 6, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 1923-1927
• Book Title: Proceedings of the 4th Smart power and internet energy systems international conference 2022 (SPIES 2022), 9-12 December 2022, Beijing, China
• ISBN: 9781665489577
• DOI: https://doi.org/10.1109/spies55999.2022.10082478
• Keywords: State of charge; State of health; Lithium-ion battery; Adaptive dual extended Kalman filter; Piecewise forgetting factor; Prior error covariance correction
• Public URL: https://rgu-repository.worktribe.com/output/1931375