This paper, the second of the series on developing a LiFePO4 (LFP) battery discharge simulator for EV applications, presents an approach for developing the battery simulator. After the optimal battery model was established, in the first paper, the main drawbacks of battery simulator are addressed and a new strategy is proposed.
This strategy uses neural networks (NN) for online estimation of the battery parameters during discharge. The proposed simulator is validated by comparisons with a typicalsimulator and data from a LFP battery submitted to discharge profile in concordance with a driving cycle.