The available capacity computation model based on artificial neural network for lead–acid batteries in electric vehicles

The available capacity computation model based on the artificial neural network (ANN) for lead–acid batteries in an electric vehicle (EV) is presented. Comparing with the methods based on the Peukert equation, which is often used for the calculation of the available capacity for lead–acid batteries in EVs, this model is more accurate. The results of the experiment have proven the accuracy of the proposed model; the computation values are in good agreement with experimental data, the associated error has been considered acceptable from an engineering point of view.