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Battery lumped fractional-order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time-varying core temperature conditions.

Zeng, Jiawei; Wang, Shunli; Takyi-Aninakwa, Paul; Zhang, Mengyun; Cao, Wen; Fernandez, Carlos; Guerrero, Josep M.

Authors

Jiawei Zeng

Shunli Wang

Paul Takyi-Aninakwa

Mengyun Zhang

Wen Cao

Josep M. Guerrero



Abstract

As electric vehicles become more common, there is increasing concern regarding their battery reliability and safety. The estimation accuracy is strongly correlated with the performance of the battery model. The lumped fractional-order hysteresis thermoelectric coupling model (LFHTCM), considering temperature and hysteresis effects, is established in this paper. Firstly, the fractional-order hysteresis sub-model is established based on the Grunwald-Letnikov (G-L) fractional calculus principle and the recursive model of hysteresis voltage. Then, the thermal sub-model is established by integrating the Bernardi heating mechanism and the heat transfer model. The fractional-order sub-model provides voltage to the thermal sub-model for heat generation calculation. The thermal sub-model provides temperature to the fractional-order model for parameter correction. Finally, the fractional-order unscented Kalman filtering (FOUKF) algorithm was developed to estimate the state of charge (SOC) of the battery. Experimental results confirmed the effectiveness of the model, with its estimation enhancing the utilization, operational optimization, and calibration of batteries in practical applications.

Citation

ZENG, J., WANG, S., TAKYI-ANINAKWA, P., ZHANG, M., CAO, W., FERNANDEZ, C. and GUERRERO, J.M. 2024. Battery lumped fractional-order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time-varying core temperature conditions. International journal of circuit theory and applications [online], Early View. Available from: https://doi.org/10.1002/cta.4138

Journal Article Type Article
Acceptance Date May 30, 2024
Online Publication Date Jun 23, 2024
Deposit Date Aug 8, 2024
Publicly Available Date Jun 24, 2025
Journal International journal of circuit theory and applications
Print ISSN 0098-9886
Electronic ISSN 1097-007X
Publisher Wiley
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1002/cta.4138
Keywords Adaptive state estimation; Fractional-order differential calculation; Lithium-ion batteries; Modeling battery dynamics; Thermoelectric coupling modeling strategy
Public URL https://rgu-repository.worktribe.com/output/2383512