Fuzzy Logic Controller Optimization for Battery Current Stress Reduction in Electric Vehicles Using Genetic Algorithm

This paper presents a fuzzy logic controller for energy management in a battery2013supercapacitor hybrid energy storage system for electric vehicles. The proposed approach aims to reduce battery current stress, extend battery lifetime, and maintain the supercapacitor state of charge (SoC) within a desired range during standard FTP75 and NYCC driving cycles. eliminating the digital low-pass filter and simplifying the conventional control structure, the battery current profiles are significantly smoothed, reducing current stress and improving overall system efficiency and durability. Aiming to smoother current stress, the fuzzy logic membership functions are also optimized using the genetic algorithm. Simulation results indicate that this optimization reduces the battery RMS current by 20 and 12 percentages in the FTP75 and NYCC driving cycles, respectively. These reductions leads to lower power losses, improved overall system efficiency and durability.