A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 10 Issue 3
Mar.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Contents
X. Gu, Y. L. Shang, Y. Z. Kang, J. L. Li, Z. H. Mao, and C. H. Zhang, “An early minor-fault diagnosis method for lithium-ion battery packs based on unsupervised learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 810–812, Mar. 2023. doi: 10.1109/JAS.2023.123099
Citation: X. Gu, Y. L. Shang, Y. Z. Kang, J. L. Li, Z. H. Mao, and C. H. Zhang, “An early minor-fault diagnosis method for lithium-ion battery packs based on unsupervised learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 810–812, Mar. 2023. doi: 10.1109/JAS.2023.123099

An Early Minor-Fault Diagnosis Method for Lithium-Ion Battery Packs Based on Unsupervised Learning

doi: 10.1109/JAS.2023.123099
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    K. Liu, Z. Wei, C. Zhang, Y. Shang, R. Teodorescu, and Q.-L. Han, “Towards long lifetime battery: AI-based manufacturing and management,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 7, pp. 1139–1165, Jul. 2022. doi: 10.1109/JAS.2022.105599
    [2]
    K. Liu, Y. Shang, Q. Ouyang, and W. D. Widanage, “A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery,” IEEE Trans. Ind. Electron, vol. 68, no. 4, pp. 3170–3180, Apr. 2021. doi: 10.1109/TIE.2020.2973876
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    Y. Shang, G. Lu, Y. Kang, Z. Zhou, B. Duan, and C. Zhang, “A multi-fault diagnosis method based on modified sample entropy for lithium-ion battery strings,” J. Power Sources, vol. 446, p. 227275, Jan. 2020. doi: 10.1016/j.jpowsour.2019.227275
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    J. Hong, Z. Wang, W. Chen, and L. Wang, “Multi-fault synergistic diagnosis of battery systems based on the modified multi-scale entropy,” Int J. Energy Res, vol. 43, no. 14, pp. 8350–8369, Nov. 2019. doi: 10.1002/er.4831
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    W. Gao, Y. Zheng, M. Ouyang, J. Li, X. Lai, and X. Hu, “Micro-short-circuit diagnosis for series-connected lithium-ion battery packs using mean-difference model,” IEEE Trans. Ind. Electron, vol. 66, no. 3, pp. 2132–2142, Mar. 2019. doi: 10.1109/TIE.2018.2838109
    [8]
    M. Ma, Y. Wang, Q. Duan, T. Wu, J. Sun, and Q. Wang, “Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis,” Energy, vol. 164, pp. 745–756, Dec. 2018. doi: 10.1016/j.energy.2018.09.047
    [9]
    X. Li, K. Dai, Z. Wang, and W. Han, “Lithium-ion batteries fault diagnostic for electric vehicles using sample entropy analysis method,” J. Energy Storage, vol. 27, p. 101121, Feb. 2020. doi: 10.1016/j.est.2019.101121
    [10]
    Y. Kang, B. Duan, Z. Zhou, Y. Shang, and C. Zhang, “Online multi-fault detection and diagnosis for battery packs in electric vehicles,” Applied Energy, vol. 259, p. 114170, Feb. 2020. doi: 10.1016/j.apenergy.2019.114170

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