Electric Vehicle Energy Management System Using Fuzzy Logic Controller

Electric vehicles (EVs) have acquired exceptional focus as an encouraging solution to reduce climate-altering gases and enhance fuel efficiency. To maximize the benefits of EVs, efficient energy management systems (EMSs) are essential to enhance the distribution of power between battery and electric motor (EM). This abstract presents a novel approach to EV energy management using fuzzy logic, a computational technique inspired by human decision-making processes. The productiveness of the introduced electric vehicle energy management system using fuzzy logic is evaluated through simulation studies and compared with traditional rule- based control strategies. By providing adaptive and intelligent control, this system can contribute significantly to the widespread adoption of environmentally friendly transportation solutions. As the efficiency of the EVs is less compared to the traditional diesel/petrol vehicles, the use of certain controllers like PI, fuzzy logic in the energy management system provides the EVs with a reliable and efficient operation.