A Novel Adaptive Operation Mode based on Fuzzy Logic Control of Electrical Vehicle

This research study presents an Adaptive Operation Mode (AOM) of an Electric Vehicle (EV) in order to reduce its energy con- sumption. This AOM can be Economic, Dynamic or Eco-Dynamic (EOM, DOM or EDOM) according to the battery State Of Charge (SOC). The control principle is based on specific Adaptive Fuzzy Logic (AFL) combined with the Maximum Control Structure (MCS) of EMR simulator of the studied vehicle. The AFL-MCS contributes to the robustness of motor drives of the vehicle and is used to meet the required autonomy regarding to the SOC. Also, to ensure the reaching and sustaining of speed and stability of the EV control with the on-line adaptive EV performances. Finally, the computer simulation results verify the valid- ity of the proposed controller and developped AOM and demonstrate that the proposed control scheme provides robust dynamic characteristics with saving 10% of SOC.