Fuzzy Logic Control for Regenerative Braking Energy Management in a Battery-Supercapacitor based Electric Vehicle

This work presents an adaptive fuzzy logic control to efficiently manage the regenerative braking energy utilization in a battery-supercapacitor based electric vehicle (EV). The presented fuzzy logic control takes the main parametric inputs as vehicle speed and vehicle brake input. Proper membership functions and rules for each of the controllers have been developed, such that the primary regenerative energy is consumed by the battery, and the secondary regenerative energy is used to charge the supercapacitor. It is assumed that, whenever a brake input is received by the user, the maximum brake energy is absorbed in regenerative braking, while the mechanical friction braking absorbs the remaining braking torque. The simulations are carried out in Matlab (R)/Simulink software, to validate the efficacy of the presented fuzzy logic control, under different vehicle speeds, brake input, and state of charge conditions of the battery.