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.
Degradation Model Prediction for Battery of Electric Vehicle Based on Hidden Markov Model
2013
4 Seiten
Conference paper
English
Freeway traffic flow prediction based on hidden Markov model
British Library Conference Proceedings | 2022
|Vehicle behavior prediction method based on dual-channel Gaussian mixture hidden Markov model
European Patent Office | 2022
|Motion Prediction of Tugboats Using Hidden Markov Model
IEEE | 2023
|