The optimized use of the energy stored in induction motors during deceleration is still a competitive challenge
especially for Electrical Vehicles (EV) drive systems designer and manufactures. There are many control
algorithms depending on many different methodologies to reach a balance point to determine when exactly
the regenerative braking will be used effectively and how long that whether it will be remained usage rather
using the normal mechanical braking. The drive system allows the control/conversion of the mechanical
energy stored in the EV’s inertial mass to convert the kinetic energy into electric energy. Further benefits of
regenerative braking is fuel saving rather than the corresponding internal combustion engine ICE while ramp
down/deceleration. This paper presents the simulated model and the concept of the control algorithm used in
electrical vehicles. Moreover, it presents the main factors that affect the regenerated power and the
optimization of using regenerative brake. Besides that, it presents the effects of using different super capacitor
sizes on the regenerative power and the voltage profile. Moreover, to verify the validity and reliability of the
developed control model, a permanent magnet synchronous motor is used and its results are compared with
induction motors.