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.
Power optimisation scheme of induction motor using FLC for electric vehicle
IET Electrical Systems in Transportation ; 10 , 3 ; 301-309
01.09.2020
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
fuzzy control , loss minimisation , fuzzy logic control , PI control , FLC controller , high‐performance results , energy efficiency , energy storage , system‐affected disturbance , hybrid EVs , induction motor efficiency , conventional proportional integral derivative controller , electric vehicle , simulation schemes , electric vehicles , three‐term control , induction motors , core losses , starting current amplitude , load condition , machine control , power optimisation scheme , time‐domain response
Power optimisation scheme of induction motor using FLC for electric vehicle
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