A Review of Sliding Mode Observers Based on Equivalent Circuit Model for Battery SoC Estimation

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Abstrakt

Battery technology is a major technical bottleneck with electric vehicles (EVs). It is necessary to perform state of charge (SoC) estimation in order to ensure battery safe usage and reduce its average lifecycle cost. Sliding mode observer (SMO) has been used widely in battery SoC estimation owing to its simplicity and robustness to both parameter variations and external disturbances. The SMO uses a switching function of the model error as feedback to drive estimated states to a hypersurface where there is no difference between measured and estimated output exactly. In this paper, three kinds of SMOs based on equivalent circuit model (ECM) for SoC estimation in the existing literatures are reviewed. Their difference in the structures and principles are discussed in the hope of providing some inspirations to the design of efficient SMO based SoC estimation methods.
OriginalsprogEngelsk
TitelProceedings of the 2019 IEEE 28th IEEE International Symposium on Industrial Electronics (ISIE)
Antal sider6
ForlagIEEE Press
Publikationsdatojun. 2019
Sider1965-1970
Artikelnummer8781412
ISBN (Elektronisk)9781728136660
DOI
StatusUdgivet - jun. 2019
Begivenhed2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) - Vancouver, Canada
Varighed: 12 jun. 201914 jun. 2019

Konference

Konference2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
LandCanada
ByVancouver
Periode12/06/201914/06/2019
NavnIEEE International Symposium on Industrial Electronics (ISIE)
ISSN2163-5145

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  • Citationsformater

    Sui, X., He, S., Stroe, D-I., Huang, X., Jinhao, M., & Teodorescu, R. (2019). A Review of Sliding Mode Observers Based on Equivalent Circuit Model for Battery SoC Estimation. I Proceedings of the 2019 IEEE 28th IEEE International Symposium on Industrial Electronics (ISIE) (s. 1965-1970). [8781412] IEEE Press. IEEE International Symposium on Industrial Electronics (ISIE) https://doi.org/10.1109/ISIE.2019.8781412