Capacity fade estimation in electric vehicles Li-ion batteries using artificial neural networks

摘要: Battery performance degrades as the battery ages. For example, capacity fades away after repeatedly cycling battery. The degradation rate itself depends on many factors such depth-of-discharge (DOD), (dis)charge power, temperature, etc. In this paper, application of artificial neural network (ANN) in estimating lithium-ion (Li-ion) fade electric vehicles (EVs) is investigated. focus paper evaluating ANN-based techniques order to: reliably estimate state-of-charge (SOC) using standard coulomb counting method through life, and accurately predict remaining life. Model derivation experimental verification are presented paper.