Life prediction of lithium battery based on particle filter and BP neural network
Jixiang Zhou,
Weijian Huang,
Yuhan Li
et al.
Abstract:This paper focuses on using Particle Filter (PF) and Back Propagation (BP) neural networks for RUL prediction. This fusion strategy uses particle filtering (PF) for battery system state estimation and prediction while considering various types of noise and uncertainties to assess the system state comprehensively. Furthermore, the strategy employs a BP neural network to learn and combine historical data patterns with particle filtering estimation, improving prediction accuracy and reliability. This study valida… Show more
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