Cycle life prediction of lithium-ion batteries based on SIR particle filtering

In this paper, we consider cycle life prediction of lithium-ion batteries based on sample importance resample particle filtering. As a core component of many systems, the performance of lithium-ion batteries will be degraded after repeated charge/discharge cycles, which could lead to reduced performance and even catastrophic failure for systems. Thus cycle life prediction of lithium-ion batteries can improve reliabilities, stabilities, and make the operation efficient. In this paper, the capacity degradation models based on degradation of batteries performance was built and the cycle life of batteries was predicted based on SIR particle filtering. This proposed method can forecast the cycle life of batteries before its failure. Simulations are provided to demonstrate the effectiveness of this method.