Research on Energy Management Strategy of Range Extender Electric Vehicle considering Temperature Effect under Different Heat Demands

被引:1
|
作者
Hu, Jianjun [1 ]
Wu, Zijia [1 ]
Li, Changchun [2 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Chongqing Changan New Energy Automobile Technol Co, Chongqing 400023, Peoples R China
关键词
THERMAL MANAGEMENT; OPTIMIZATION; START;
D O I
10.1155/2023/9903856
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
In order to further improve the energy utilization of the range extender electric vehicle (REEV), the energy management strategy of the REEV under different heat demands and operating temperatures is studied. Firstly, for reducing the extra fuel consumption caused by engine operating temperature, the influence of engine lubricating oil temperature on the equivalence factor is analyzed, and a novel method is proposed, which can determine the equivalence factor by three parameters, including engine temperature, operating condition type, and battery state of charge (SOC). Secondly, to reduce the influence of frequent engine start/stop on fuel consumption, a method to establish the penalty factor based on battery SOC is proposed. Finally, the engine temperature rise law under low-temperature environment and the compressor drive mode determination method under high-temperature environment are studied according to the heat demand under different ambient temperatures. An adaptive equivalent consumption minimization strategy (ECMS) considering the effect of temperature under different heat demands is proposed on the basis of the above research. The simulation under the worldwide harmonized light vehicle test cycle (WLTC) drive cycle reveals that by using the adaptive ECMS, the vehicle operating cost is reduced by 5.69% in normal temperature environment, 0.53%-2.39% in a low-temperature environment, and 0.2%-2.01% in a high-temperature environment.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Adaptive real-time optimal energy management strategy for extender range electric vehicle
    Yang, Ye
    Zhang, Youtong
    Tian, Jingyi
    Li, Tao
    ENERGY, 2020, 197
  • [2] Research on the Energy Management Strategy of Range Extended Fuel Cell Electric Vehicle
    Meng, Xiangfei
    Hao, Dong
    Wang, Renguang
    Xu, Yuanli
    Wei, Zengna
    Zhang, Lei
    PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 503 - 507
  • [3] Integrating intelligent driving pattern recognition with adaptive energy management strategy for extender range electric logistics vehicle
    Wei, Changyin
    Chen, Yong
    Li, Xiaoyu
    Lin, Xiaozhe
    ENERGY, 2022, 247
  • [4] Effect of dynamic and operational restrictions in the energy management strategy on fuel cell range extender electric vehicle performance and durability in driving conditions
    Desantes, J. M.
    Novella, R.
    Pla, B.
    Lopez-Juarez, M.
    ENERGY CONVERSION AND MANAGEMENT, 2022, 266
  • [5] Energy Management System for an Electric Vehicle With a Rental Range Extender: A Least Costly Approach
    Guanetti, Jacopo
    Formentin, Simone
    Savaresi, Sergio M.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (11) : 3022 - 3034
  • [6] Research on Energy Management Strategy of Hybrid Electric Vehicle
    Deng, Tao
    Huang, Xiguang
    INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND APPLICATION (ICETA 2015), 2015, 22
  • [7] Hierarchical energy management for extended-range electric vehicles considering range extender dynamic coordination
    Han, Lijin
    Zhou, Xuan
    Yang, Ningkang
    Liu, Hui
    Xiang, Changle
    JOURNAL OF POWER SOURCES, 2024, 622
  • [8] Research on energy management strategy considering battery life for plug-in hybrid electric vehicle
    Hu, Jianjun
    Hu, Zhihua
    Niu, Xiyuan
    Bai, Qin
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (09):
  • [9] Research on Energy Management Strategy for Extended-Range Electric Vehicle Based on Bargaining Game
    Ding, Xiaofeng
    Li, Tong
    Zhao, Fuqiang
    Kong, Dexin
    Wei, Mingjun
    ENERGY TECHNOLOGY, 2024, 12 (05)
  • [10] Fuzzy logic based energy management algorithm of a hybrid electric vehicle with range-extender
    Yang, Lei
    Markert, Erik
    Heinkel, Ulrich
    2014 11TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2014,