An improved progressive window-strong tracking multiple fading algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries under variable temperatures.

Zhu, Chenyu; Wang, Shunli; Yu, Chunmei; Hai, Nan; Fernandez, Carlos; Guerrero, Josep M.; Huang, Qi

Abstract

To ensure the safety of batteries and plan their use reasonably, the accuracy of the state of charge (SOC) of batteries is a key evaluation indicator. State of energy (SOE) is a supplement to SOC to prevent system misjudgment. This paper proposes an improved progressive window-strong tracking multiple fading (PW-STMF) algorithm to achieve accurate and efficient estimation of SOC and SOE. To accurately obtain real-time battery parameters, this paper establishes the Hysteresis Double Polarization (HDP) model and proposes the progressive window recursive least squares (PWRLS) algorithm. Meanwhile, the improved STMF algorithm solves the problem of increased prediction residuals and unchanged gain matrix in the case of inaccurate system model parameters and sudden state changes in the cubature Kalman filter (CKF). Multiple fading factors are introduced in the time update equation and measurement update equation. By forcing the output residual sequence to be orthogonal, the residual satisfies the characteristics of Gaussian white noise, and the gain matrix is adjusted online to improve the system's ability to track sudden state changes. The experimental verification results show that the proposed PW-STMF algorithm has high estimation accuracy, strong robustness, strong tracking ability, and short estimation time for SOC and SOE results.

Citation

ZHU, C., WANG, S., YU, C., HAI, N., FERNANDEZ, C., GUERRERO, J.M. and HUANG, Q. 2024. An improved progressive window-strong tracking multiple fading algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries under variable temperatures. Journal of energy storage [online], 104(part A), article number 114444. Available from: https://doi.org/10.1016/j.est.2024.114444

• Journal Article Type: Article
• Acceptance Date: Oct 29, 2024
• Online Publication Date: Nov 7, 2024
• Publication Date: Dec 15, 2024
• Deposit Date: Nov 8, 2024
• Publicly Available Date: Nov 8, 2025
• Journal: Journal of energy storage
• Print ISSN: 2352-152X
• Electronic ISSN: 2352-1538
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 104
• Issue: A
• Article Number: 114444
• DOI: https://doi.org/10.1016/j.est.2024.114444
• Keywords: Lithium-ion battery; State of charge; State of energy; Progressive window; Strong tracking multiple fading
• Public URL: https://rgu-repository.worktribe.com/output/2571900