Failure in battery could lead in loss of operation, decreased capability, operational impairment and downtime. If capacity degradation in battery can be predicted, terrible failure can be avoided. This paper presents developed grey prediction algorithm for predicting battery's capacity degradation. Basic grey model have employed to forecast degradation of battery's capacity, but the result was unsatisfactory. In order to improve the accuracy of prediction, the basic grey model has been modified. The proposed method is validated by predicting capacity degradation of a tested battery. This work also achieved that grey model is a promising predictor for battery prognostics system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Predicting battery's capacity degradation using grey model


    Contributors:


    Publication date :

    2017-10-01


    Size :

    342224 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Study on Power Battery's Performance Evaluation

    He, H.-w. / Peng, L.-y. / Sun, F.-c. et al. | British Library Conference Proceedings | 2004


    Study on power battery's performance evaluation

    He,H.W. / Peng,L.Y. / Sun,F.C. et al. | Automotive engineering | 2004


    Study on Power Battery's Performance Evaluation

    Sun, Feng-chun / He, Hong-wen / Peng, Lian-yun | SAE Technical Papers | 2004


    Apparatus for estimating battery's state of health

    European Patent Office | 2017

    Free access

    Study on Power Battery's Performance Evaluation

    He, H-W. / Peng, L-Y. / Sun, F-C. et al. | British Library Conference Proceedings | 2004