Optimization of Fuzzy Control Strategy for Hybrid Electric Bus Based on Ant Colony Algorithm of Genetic Method

被引：0
|
作者：
Yin, An-dong [1 ]
Zhao, Han
Zhang, Hui
机构：
[1] Hefei Univ Technol, Sch Machinery & Automobile Engn, Tunxi Rd 193, Hefei 230009, Peoples R China
来源：
25TH WORLD BATTERY, HYBRID AND FUEL CELL ELECTRIC VEHICLE SYMPOSIUM AND EXHIBITION PROCEEDINGS, VOLS 1 & 2 | 2010年
关键词：
hybrid; ant colony algorithm of genetic; fuzzy control; optimization;
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：
The object is a Optimization of Fuzzy Control Strategy for a parallel hybrid electric bus. In this paper, a new algorithm is presented by using the ant colony algorithm based on genetic method (ACG) to solve the optimization problem of the fuzzy control strategy. It has many advantages, comparing the method with traditional genetic algorithm (GA) and ant colony algorithm (ACA).
引用
收藏
页码：360 / 364
页数：5
相关论文
共 50 条
  • [1] Optimisation of fuzzy control strategy for hybrid electric bus based on genetic-ant colony algorithm
    Yin, A.
    Zhao, H.
    Zhang, B.
    [J]. Australian Journal of Electrical and Electronics Engineering, 2014, 11 (03): : 339 - 346
  • [2] Optimization of control parameters for hybrid electric bus based on genetic algorithm
    Shi, Dapai
    Chu, Liang
    Guo, Jianhua
    Ou, Yang
    Liu, Chuqun
    Liu, Zuofei
    Ha, Linqi
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (11)
  • [3] Route Optimization for Bus Dispatching Based on Genetic Algorithm-Ant Colony Algorithm
    Tang, Minan
    Ren, Enen
    Zhao, Chunyan
    [J]. 2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 18 - 21
  • [4] Optimization of PID Parameters Based on Ant Colony Genetic Hybrid Algorithm
    Zhang, Gailian
    [J]. PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2017), 2017, 126 : 1285 - 1292
  • [5] A Novel Fuzzy Identification Method Based on Ant Colony Optimization Algorithm
    Tsai, Shun-Hung
    Chen, Yu-Wen
    [J]. IEEE ACCESS, 2016, 4 : 3747 - 3756
  • [6] Optimization of Control Strategy for Hybrid Electric Vehicles based on Improved Genetic Algorithm
    Cheng, Yu-Huei
    Lai, Ching-Ming
    Teh, Jiashen
    [J]. 2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2017,
  • [7] Hybrid algorithm combining ant colony optimization algorithm with genetic algorithm
    Shang, Gao
    Jiang Xinzi
    Tang Kezong
    [J]. PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, : 701 - +
  • [8] Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm
    Li, Xinzhan
    Zhou, Yang
    Li, Xin
    Xu, Lijuan
    Zhao, Dawei
    [J]. MATHEMATICS, 2022, 10 (21)
  • [9] A Hybrid Genetic &Ant-colony Algorithm for Fuzzy Petri Net Parameter Optimization Problems
    Shi, Bo
    Liu, Li
    Cao, Jun
    Chen, Kesen
    [J]. MECHANICAL, INDUSTRIAL, AND MANUFACTURING ENGINEERING, 2011, : 565 - +
  • [10] ANT COLONY OPTIMIZATION AND A HYBRID GENETIC ALGORITHM FOR SUDOKU SOLVING
    Mantere, Timo
    Koljonen, Janne
    [J]. MENDELL 2009, 2009, : 41 - 48
12345