ABSTRACT:
In
electric vehicles (EVs) and hybrid EVs, energy efficiency is essential where
the energy storage is limited. Adding to its high stability and low cost, the
induction motor efficiency improves with loss minimisation. Also, it can
consume more power than the actual need to perform its working when it is
operating in less than full load condition. This study proposes a control strategy
based on the fuzzy logic control (FLC) for EV applications. FLC controller can
improve the starting current amplitude and saves more power. Through the
MATLAB/SIMULINK software package, the performance of this control was verified
through simulation. As compared with the conventional proportional integral
derivative controller, the simulation schemes show good, high-performance
results in time-domain response and rapid rejection of system-affected
disturbance. Therefore, the core losses of the induction motor are greatly
reduced, and in this way improves the efficiency of the driving system.
Finally, the suggested control system is validated by the experimental results
obtained in the authors’ laboratory, which are in good agreement with the
simulation results.
SOFTWARE:
MATLAB/SIMULINK
CONCLUSION:
When
IM operates in less than full load condition, it can consume more power than
needed. This excess power is in the form of heat. By using the FLC the starting
current amplitude can be controlled and more power can be saved during this
time. The inputs of the fuzzy controller are the error of speed and change of
error which are used in the outer loop for producing an equivalent controller term.
In this paper, a simulation study was conducted on a 50 hp IM-driven EV.
Different performance indicators are tested such as peak overshoot,
steady-state error, rise time, and settling time. The results showed that the
phase current in the suggested system includes fewer loss components (less amplitude)
with the same order components. The amplitudes of loss are reduced on the average
for the actual torque in the steady state. It achieves a smooth torque and
improves system performance. The simulation results of the suggested FLC scheme
showed very good stability and better performance over the conventional PID
controller in rising time, settling time, and peak overshoot. The proposed control
system is validated by the experimental results which are in good agreement
with the simulation results.
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