The paper discusses the proposed procedure to estimate the battery charge-discharge behaviour by mathematical model, simple real time Recurrent Neural Network (RNN) so as a Pspice implementation. The data neuroprocessing is a necessity for battery modelling in order to obtain better SOC estimation that in turn improve the battery storage management of the electric vehicle. A proposed Pspice battery model is presented in detail and used to simulate the charge process of a conventional cell batteryand to establish a suitable charge algorithm. Basically the paper reports the experiences about lead acid battery modelling to be used as energy storage for electric vehicle and hybrid electric vehicle
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