DATE2020-06-11 16:10-17:00


SPEAKER王義富 助理教授(中正大學數學系

TITLELifetime Prediction for Rechargeable Lithium-ion Batteries

ABSTRACT Rechargeable batteries are critical components for the performance of portable electronics and electric vehicles. The long term health performance of rechargeable batteries is characterized by state of health which can be quantified by end of performance (EOP) and remaining useful performance. Focusing on EOP prediction, this paper first proposes an accelerated testing version of the trend-renewal process model to address this decision problem. The proposed model is also applied to a real case study. Finally, a NASA dataset is used to address the prediction performance of the proposed model. Comparing with the existing prediction methods and time series models, our proposed procedure has better performance in the EOP prediction.