Different types of electric vehicles (EV) have been recently developed with the aim of solving pollution problems caused by the emissions of gasoline powered engine. One of the weakest points of EV is the battery system due to its highly complex nonlinear characteristics so the distance of travel is not defined accurately. One of challenges of EV is the battery modeling to know the battery available capacity and state of charge to charge the EV at the suitable
distance of travel. If the battery available capacity (BAC) and state of charge (SOC) are estimated accurately, the user will know exactly the amount of the power that the battery capable of providing. Knowing the BAC and SOC prevents EVs from being stopped on the road and also optimize the utilization of the battery energy storage system in EVs. In this paper a proposed fuzzy model for BAC estimation based on battery temperature and discharge current is presented, then the SOC is estimated based on the BAC and discharging current. Experimental data are collected for model building and model training. Comparison between the calculated BAC from the fuzzy model and the measured BAC from the measured experiments shows a good agreement. Also the proposed technique can be applied for modeling of different types of batteries for EV applications.
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