Energy Management of Dual-Source Propelled Electric Vehicle using Fuzzy Controller Optimized via Genetic Algorithm

被引：0

作者：

Arani, S. Khoobi ^{[1
,2
]}

Niasar, A. Halvaei ^{[1
]}

Zadeh, A. Haji ^{[3
]}

机构：

[1] Univ Kashan, Dept Elect & Comp Engn, Kashan, Iran

[2] Univ Shahrood, Dept Elect Engn, Shahrood, Iran

[3] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark

来源：

2016 7TH POWER ELECTRONICS AND DRIVE SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC) | 2016年

关键词：

Electric Vehicle (EV); Energy Management; Fuzzy Controller; Genetic Algorithm (GA); ADVISOR; CONTROL STRATEGY; HYBRID; OPERATOR;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Energy and power distribution between multiple energy sources of electric vehicles (EVs) is the main challenge to achieve optimum performance from EV. Fuzzy inference systems are powerful tools due to nonlinearity and uncertainties of EV system. Design of fuzzy controllers for energy management of EV relies too much on the expert experience and it may lead to suboptimal performance. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for an electric vehicle equipped with two power bank including battery and supercapacitor. The model of EV and optimized fuzzy controller are simulated in ADVISOR software. Developed method has been implemented on standard driving cycles and simulation results show the decrease on consumed power by developed controller compared with standard fuzzy controller.

引用

页码：338 / 343

页数：6

共 50 条

[41] Optimal Battery Management System Utilized in Electric Vehicle Using Fuzzy Logic Controller (FLC) and Artificial Eco-System Algorithm (AEO)
Justin Raj, P.
Vasan Prabhu, V.
Krishna Kumar, V.
CYBERNETICS AND SYSTEMS, 2024, 55 (05) : 1230 - 1254
[42] Effective Power and Energy Management for The Dual Source Hybrid Electric Vehicle Based On The Measured Drive Cycle
Mohanbhai, Patel Sagar
Mohanbhai, Patel Pritesh
2012 IEEE 5TH INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE 2012), 2012,
[43] An Improved Fuzzy Energy Management Strategy Based-on Particle Swarm Optimal Algorithm for Electric Vehicle
Wei, Yadong
Ma, Hongwei
Liao, Xiaozhong
Huang, Tao
2016 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2016,
[44] An Optimized PV based Plug-in Hybrid Electric Vehicle Charging Station Using Fuzzy-PI Controller Logic
Pradeep, Mariyaraj Daniel
Ramesh, Shanmugavel Muthaiya
Gomathy, Balasubramanian
STUDIES IN INFORMATICS AND CONTROL, 2021, 30 (02): : 55 - 66
[45] Parameter optimization via cuckoo optimization algorithm of fuzzy controller for energy management of a hybrid power system
Berrazouane, S.
Mohammedi, K.
ENERGY CONVERSION AND MANAGEMENT, 2014, 78 : 652 - 660
[46] Genetic algorithm optimized neural network based fuel cell hybrid electric vehicle energy management strategy under start-stop condition
Min, Dehao
Song, Zhen
Chen, Huicui
Wang, Tianxiang
Zhang, Tong
APPLIED ENERGY, 2022, 306
[47] Fuzzy Logic and Passivity-Based controller applied to Electric Vehicle using Fuel Cell and Supercapacitors Hybrid Source
Mohammedi, M.
Kraa, O.
Becherif, M.
Aboubou, A.
Ayad, M. Y.
Bahri, M.
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY (TMREES14 - EUMISD), 2014, 50 : 619 - 626
[48] Advanced control and energy management algorithm for a multi-source microgrid incorporating renewable energy and electric vehicle integration
El Mezdi, Karim
El Magri, Abdelmounime
Bahatti, Lhoussain
RESULTS IN ENGINEERING, 2024, 23
[49] Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic
Li, S. G.
Sharkh, S. M.
Walsh, F. C.
Zhang, C. N.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (08) : 3571 - 3585
[50] Energy management strategy of a plug-in parallel hybrid electric vehicle using fuzzy control
Ming, Lv
Ying, Yang
Liang, Lijie
Yao, Lu
Zhou, Wenyu
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 2660 - 2665

← 1 2 3 4 5 →