Fuzzy Logic Control Approach to the Energy Management of Parallel Hybrid Electric Vehicles

被引:0
作者
Lu, Dengke [1 ,2 ]
Li, Weimin [1 ]
Xu, Guoqing [1 ,3 ,4 ]
Zhou, Meilan [2 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[2] Harbin Univ Sci & Technol, Harbin 150080, Peoples R China
[3] Tongji Univ, Dept Elect Engn, Shanghai 200092, Peoples R China
[4] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
来源
PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2012年
关键词
Parallel Hybrid Electric Vehicle (PHEV); State of charge (SOC); Energy Management Strategy (EMS);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the author proposed an energy management strategy of the Parallel Hybrid Electric Vehicle (PHEV) was that based on the fuzzy logic control for torque distribution between motor and engine. The value D which is the difference value between the torque of the vehicle requirements Tr and the engine goal requires torque Te, and the battery state of charge (SOC) as two of the fuzzy controller input variables and the torque control coefficient C is the output variable of the fuzzy controller. With three different road conditions, simulated respectively between the rule-based of electric assist control strategy and the fuzzy logic control strategies by using the electric vehicle software ADVISOR. The result shows that the design of fuzzy logic energy management strategy can easily control the engine and motor, significantly increasing fuel economy performance and reduced exhaust emissions.
引用
收藏
页码:592 / 596
页数:5
相关论文
共 34 条
  • [21] Comparison of energy consumption between hybrid and electric vehicles under real-world driving conditions
    Jeong, Jun Woo
    Lee, Juho
    Lee, Jungkoo
    Cha, Junepyo
    Lee, Kihyung
    [J]. JOURNAL OF POWER SOURCES, 2024, 618
  • [22] Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle
    Liu, Teng
    Zou, Yuan
    Liu, Dexing
    Sun, Fengchun
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (12) : 7837 - 7846
  • [23] Simultaneous Identification and Control Using Active Signal Injection for Series Hybrid Electric Vehicles Based on Dynamic Programming
    Zhu, Haojie
    Song, Ziyou
    Hou, Jun
    Hofmann, Heath F.
    Sun, Jing
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2020, 6 (01) : 298 - 307
  • [24] Power Energy Management for a Grid-Connected PV System using Rule-Base Fuzzy Logic
    Hashmi, Nousheen
    Khan, Shoab Ahmad
    [J]. 2015 THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2015), 2015, : 31 - 36
  • [25] Wavelet packet-fuzzy control of hybrid energy storage systems for PV power smoothing
    Wu, Zhenwei
    Jiang, Xiaoping
    Ma, Huimeng
    Ma, Suliang
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2014, 34 (03): : 317 - 324
  • [26] Electric Vehicles Charging Management System for Optimal Exploitation of Photovoltaic Energy Sources Considering Vehicle-to-Vehicle Mode
    Lo Franco, Francesco
    Mandrioli, Riccardo
    Ricco, Mattia
    Monteiro, Vitor
    Monteiro, Luis F. C.
    Afonso, Joao L.
    Grandi, Gabriele
    [J]. FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [27] Solar Powered Charging of Fuzzy Logic Controller (FLC) Strategy with Battery Management System (BMS) Method Used for Electric Vehicle (EV)
    P. Justin Raj
    V. Vasan Prabhu
    V. Krishnakumar
    M. Clement Joe Anand
    [J]. International Journal of Fuzzy Systems, 2023, 25 : 2876 - 2888
  • [28] Solar Powered Charging of Fuzzy Logic Controller (FLC) Strategy with Battery Management System (BMS) Method Used for Electric Vehicle (EV)
    Raj, P. Justin
    Prabhu, V. Vasan
    Krishnakumar, V.
    Anand, M. Clement Joe
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2023, 25 (07) : 2876 - 2888
  • [29] Variational mode decomposition and fuzzy control strategy of hybrid energy storage for smoothing wind power outputs
    Li Y.
    Wang Q.
    Song W.
    Wang X.
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (07): : 58 - 65
  • [30] A Deep Concurrent Learning-based Robust and Optimal Energy Management Strategy for Hybrid Battery Systems in Electrical Vehicles: A Thermal-And Health-Aware Design Approach
    Mukherjee, Nilanjan
    Sarkar, Sudeshna
    [J]. 2023 33RD AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE, AUPEC, 2023,