Numerical Investigation on Fuzzy Logic Control Energy Management Strategy of Parallel Hybrid Electric Vehicle

被引:32
作者
Ma, Kunqi [1 ]
Wang, Zaizhou [1 ,3 ]
Liu, Hai [1 ]
Yu, Hanzhengnan [2 ]
Wei, Changyin [1 ]
机构
[1] Hebei Univ Technol, Sch Mech Engn, Tianjin 300130, Peoples R China
[2] China Automot Technol & Res Ctr, Tianjin 300300, Peoples R China
[3] Hebei Normal Univ, Shijiazhuang 050024, Hebei, Peoples R China
来源
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS | 2019年 / 158卷
基金
国家重点研发计划;
关键词
Parallel HEV; fuzzy logic control; vehicle economy characteritics; SOC; simulation; POWER;
D O I
10.1016/j.egypro.2019.02.016
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 reduce fuel consumption, a double input and single output fuzzy logic controller has been established for the energy management of a parallel hybrid electric vehicle (HEV). In this paper, the fuel economy and ballen,.. state of c ha rge (SO( of vehicles has been numerically investigated under both NI])(g and \VIgIC driving cycles. Results showed that compared with the logic threshold control strategy, the Mel consumption under the Nil)C and \VIgIC driving cycles are reduced by 13.3% and 4.5%, respectively, mhen the to// y logic control strategy mas adopted. In addition, compared V}itli the logic threshold control strategy, the fluctuation of SOC variation of the fuzzy logic control strategy is much smaller under both driving cycle, which has a positive effect on increasing the effectiveness of the battery discharge, maintaining stability the battery operating, and extending the battery life. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:2643 / 2648
页数:6
相关论文
共 9 条
  • [1] A Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles Based on a Permanent Magnet Electric Variable Transmission
    Abdelsalam, Abdelsalam Ahmed
    Cui, Shumei
    [J]. ENERGIES, 2012, 5 (04) : 1175 - 1198
  • [2] Anbaran SA, 2014, 2014 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON), P7, DOI 10.1109/CENCON.2014.6967468
  • [3] 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.
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (08) : 3571 - 3585
  • [4] Li YZ, 2010, IEEE IFIP NETW OPER, P88, DOI [10.1109/NOMS.2010.5488441, 10.1109/ICMTMA.2010.754]
  • [5] Intelligent Hybrid Vehicle Power Control-Part II: Online Intelligent Energy Management
    Murphey, Yi Lu
    Park, Jungme
    Kiliaris, Leonidas
    Kuang, Ming L.
    Abul Masrur, M.
    Phillips, Anthony M.
    Wang, Qing
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (01) : 69 - 79
  • [6] Intelligent Hybrid Vehicle Power Control-Part I: Machine Learning of Optimal Vehicle Power
    Murphey, Yi Lu
    Park, Jungme
    Chen, Zhihang
    Kuang, Ming L.
    Masrur, M. Abul
    Phillips, Anthony M.
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (08) : 3519 - 3530
  • [7] Control strategies for hybrid electric vehicles: Evolution, classification, comparison, and future trends
    Salmasi, Farzad Rajaei
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2007, 56 (05) : 2393 - 2404
  • [8] XU X, 2012, J HEFEI U TECHNOLOGY, V2
  • [9] Trip-Oriented Energy Management Control Strategy for Plug-In Hybrid Electric Vehicles
    Yu, Hai
    Kuang, Ming
    McGee, Ryan
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (04) : 1323 - 1336