This paper proposed a new method based on hidden Markov model (HMM) to distinguish the degradation mode of the battery of electric vehicle. In the process of describing the degradation process of battery of electric vehicle, degradation models under dynamic running conditions need to be analyzed in order to effectively forecast the remaining useful mileage and life of battery. First, the paper performs cluster analysis of the batterys charge and discharge curves to find out the degradation mode of the battery. Then HMM is applied to research the dynamic changes of the degradation mode and predict future degradation mode sequences. Finally, experimental analysis based on batterys charge and discharge data from NASA proves the effectiveness of the proposed approach.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Degradation Model Prediction for Battery of Electric Vehicle Based on Hidden Markov Model


    Beteiligte:
    Yu, Gang (Autor:in) / Sheng, Lu-Ying (Autor:in) / Guo, Mi-Mi (Autor:in)


    Erscheinungsdatum :

    2013


    Format / Umfang :

    4 Seiten




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Modeling and Prediction of Vehicle Routes Based on Hidden Markov Model

    Akabane, Ademar T. / Pazzi, Richard W. / Madeira, Edmundo R. M. et al. | IEEE | 2017


    Freeway traffic flow prediction based on hidden Markov model

    Jiang, Jiyang / Guo, Tangyi / Pan, Weipeng et al. | British Library Conference Proceedings | 2022


    Vehicle behavior prediction method based on dual-channel Gaussian mixture hidden Markov model

    WANG YIJING / LI ZHENG / ZUO ZHIQIANG | Europäisches Patentamt | 2022

    Freier Zugriff

    Motion Prediction of Tugboats Using Hidden Markov Model

    Zhang, Zijian / Zhao, Jie / Wang, Tengfei et al. | IEEE | 2023


    Whitespace Prediction Using Hidden Markov Model Based Maximum Likelihood Classification

    Saad, Ahmad / Schepker, Henning F. / Staehle, Barbara et al. | IEEE | 2019