| Authors | Saeed Khoobi Arani, Abolfazl Halvaei Niasar, Amin Haji Zadeh |
|---|---|
| Conference Title | 7th IEEE Power Electronics, Drive Systems & Technologies Conference (PEDSTC 2016) |
| Holding Date of Conference | February 2016 |
| Event Place | Iran University of Science and Technology (IUST), Tehran, Iran |
| Presented by | دانشگاه کاشان |
| Presentation | SPEECH |
| Conference Level | International Conferences |
Abstract
Energy and power distribution between multiple energy sources of electric vehicles (EVs) is the main challenge to achieve optimum performance. Fuzzy inference systems are powerful tools due to nonlinearity and uncertainties of EV system. Design of fuzzy controllers for energy management of EV relies excessively on the expert experience; and non-optimal design may lead to sub-optimal performance. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for an EV equipped with two power banks including battery and super-capacitor. The model of EV and optimized fuzzy controller are simulated in MATLAB environment using ADVISOR. Developed method has been implemented on standard driving cycles and simulation results show the decrease on consumed power by the developed controller in comparison with the standard fuzzy controller.
tags: Electric Vehicle (EV); Energy Management; Fuzzy Controller; Genetic Algorithm (GA),ADVISOR