Back to Search
Start Over
Power optimisation scheme of induction motor using FLC for electric vehicle
- Source :
- IET Electrical Systems in Transportation. 10:301-309
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
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.
- Subjects :
- business.product_category
Computer science
020209 energy
020208 electrical & electronic engineering
PID controller
02 engineering and technology
Fuzzy control system
Energy storage
Control theory
Control system
Electric vehicle
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Induction motor
Machine control
Efficient energy use
Subjects
Details
- ISSN :
- 20429746 and 20429738
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- IET Electrical Systems in Transportation
- Accession number :
- edsair.doi...........169010cc877dc46d3f8bdda34b03856e