Comparative Analisys of Intelligent Braking Controllers for Electric Vehicles

Abstract

Contemporary society benefits multiple advantages from electric cars. However, there exist still many obstacles to common adoption of the electrically-fed vehicles related mostly to the battery-based energy sources. This analysis addresses the energy recovery in battery and hybrid electric vehicles during their gradual deceleration and emergency stop. Using the proposed classification of braking controllers, several solutions are considered related to the growth on energy saving. Here,intelligent braking systems with fuzzy logic and neural network controllers are compared and evaluated based on data collected in different institutions and by the authors themselves from rcal vehicles and laboratory test benches.