Study on Intelligent Control Strategy of Battery-Electric Bus Based on the Fuzzy Comprehensive Evaluation Method

被引:2
|
作者
Lin Cheng [1 ]
Zhou Hui [1 ]
Sun Feng-chun [1 ]
Nan Jin-rui [1 ]
机构
[1] Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing 100081, Peoples R China
关键词
D O I
10.1109/GCIS.2009.436
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
How to use the lithium-ion power battery effectively, how to improve the discharging efficiency and the cycle-life of the power battery is a hotspot of research in battery-electric vehicle(BEV) field The fuzzy comprehensive evaluation method is used to evaluate the factors that influence the discharging efficiency and the cycle-life of the power battery The demanded dynamic performance is judged by average value of traction pedal in a fixed period; The weighting coefficients are confirmed according to the relative importance of each parameter, and the intelligent control strategy is made according to the judging result. The intelligent control strategy is loaded to the pure vehicle controller and verified by real vehicle The result indicates that the intelligent control strategy made by using the fuzzy comprehensive evaluation method can prevent the battery to be overcurrent or overdischarge. The discharging efficiency of the battery is improved, and the range of vehicle is lengthenned under the public traffic mode
引用
收藏
页码:328 / 332
页数:5
相关论文
共 50 条
  • [1] Comprehensive Transition Plan for Battery-Electric Bus Fleets Considering Utility Constraints
    Hanna, Maria O.
    Shaaban, Mostafa F.
    Salama, Magdy M. A.
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2024, 60 (01) : 887 - 899
  • [2] Torque Control Strategy for Battery Electric Bus
    Hu Jianyao
    Wu Juan
    Peng Hemeng
    Huang Qingli
    Luo Dongxiang
    Fan Linyong
    He Zhiyuan
    Xu Huawei
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON MATERIAL, ENERGY AND ENVIRONMENT ENGINEERING (ISM3E 2015), 2016, 46 : 241 - 244
  • [3] Simulation Based Studies on the Integration of Battery-Electric Vehicles in Regional Bus Services
    Burmeister, Felix
    Schnieder, Lars
    Kurczveil, Tamas
    [J]. 2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 1333 - 1338
  • [4] Braking Control Strategy Optimization for a Battery Electric Bus Based on Braking Feel
    Zhang, Junzhi
    Lin, Cheng
    Zhou, Hui
    Liu, Peng
    [J]. FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 82 - 90
  • [5] Optimization of Fuzzy Control Strategy for Hybrid Electric Bus Based on Ant Colony Algorithm of Genetic Method
    Yin, An-dong
    Zhao, Han
    Zhang, Hui
    [J]. 25TH WORLD BATTERY, HYBRID AND FUEL CELL ELECTRIC VEHICLE SYMPOSIUM AND EXHIBITION PROCEEDINGS, VOLS 1 & 2, 2010, : 360 - 364
  • [6] Fuzzy-logic-based acceleration control strategy for battery electric vehicles
    Yu, Li-Min
    Xiong, Hui-Yuan
    Zong, Zhi-Jian
    [J]. DESIGN, MANUFACTURING AND MECHATRONICS (ICDMM 2015), 2016, : 289 - 296
  • [7] Motor Torque Compensation Control Strategy of Pure Electric Bus Based on Fuzzy Reasoning
    Sun, Gui-Bin
    Zhou, Shen
    Chiu, Yi-Jui
    Zhuo, Wen-De
    Jian, Sheng-Rui
    [J]. Journal of Network Intelligence, 2023, 8 (01): : 237 - 258
  • [8] Impact Safety Control Strategy for the Battery System of an Example Electric Bus
    Wang, Zhen-po
    Liu, Jia
    Li, Hai-tao
    Zhang, Lei
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [9] Transient power smoothing control strategy for battery of pure electric bus
    Zhou, Meilan
    Liu, Weijie
    Zhang, Yu
    Fu, Jun
    [J]. INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2022, 14 (1-2) : 150 - 169
  • [10] Battery inconsistency evaluation based on hierarchical weight fusion and fuzzy comprehensive evaluation method
    Hou, Jing
    Gao, Tian
    Yang, Yan
    Wang, Xin
    Yang, Yuenan
    Meng, Siying
    [J]. JOURNAL OF ENERGY STORAGE, 2024, 84