An optimal power management strategy for power split plug-in hybrid electric vehicles

被引：25
|
作者：
Taghavipour, A. [1 ]
Azad, N. L. [1 ]
McPhee, J. [1 ]
机构：
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源：
INTERNATIONAL JOURNAL OF VEHICLE DESIGN | 2012年 / 60卷 / 3-4期
关键词：
plug-in hybrid vehicles; power management strategy; model predictive control; dynamic programming; fuel consumption; ENERGY MANAGEMENT;
D O I：
10.1504/IJVD.2012.050085
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Model Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information from the powertrain and handling hard constraints on such problems. In this paper, a power management strategy for a power split plug-in HEV is proposed using the concept of MPC to evaluate the effectiveness of this method on minimising the fuel consumption of those vehicles. Also, the results are compared with dynamic programming.
引用
收藏
页码：286 / 304
页数：19
相关论文
共 50 条
  • [41] A Bidirectional Power Converter for Battery of Plug-in Hybrid Electric Vehicles
    Chen, Zheng
    Nie, Ziling
    Fu, Yuhong
    Mi, Chris Chunting
    IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,
  • [42] A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions
    Zhang, Yuanjian
    Wei, Chongfeng
    Liu, Yonggang
    Chen, Zheng
    Hou, Zhuoran
    Xu, Nan
    JOURNAL OF POWER SOURCES, 2021, 489
  • [43] A stochastic optimal dispatch strategy for plug-in hybrid electric vehicles (PHEVs)
    Lin, Qiyou
    Sun, Xingli
    Chen, Xiaoyu
    EEA - Electrotehnica, Electronica, Automatica, 2018, 66 (04): : 95 - 101
  • [44] Review on Automotive Power Generation System on Plug-in Hybrid Electric Vehicles & Electric Vehicles
    Leong, Yap Wee
    Razali, Akhtar Razul
    Priyandoko, Gigih
    Kasim, Nazrul Idzham
    UTP-UMP SYMPOSIUM ON ENERGY SYSTEMS 2015 (SES 2015), 2016, 38
  • [45] Bi-level energy management strategy for power-split plug-in hybrid electric vehicles: A reinforcement learning approach for prediction and control
    Yang, Xueping
    Jiang, Chaoyu
    Zhou, Ming
    Hu, Hengjie
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [46] A new power management strategy for plug-in hybrid electric vehicles based on an intelligent controller integrated with CIGPSO algorithm
    Abd-Elhaleem, Sameh
    Shoeib, Walaa
    Sobaih, Abdel Azim
    ENERGY, 2023, 265
  • [47] A Heuristic Planning Reinforcement Learning-Based Energy Management for Power-Split Plug-in Hybrid Electric Vehicles
    Liu, Teng
    Hu, Xiaosong
    Hu, Weihao
    Zou, Yuan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (12) : 6436 - 6445
  • [48] Power Management for Plug-in Hybrid Electric Vehicles using Reinforcement Learning with Trip Information
    Liu, Chang
    Murphey, Yi Lu
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2014,
  • [49] Analytical Approach for the Power Management of Blended-Mode Plug-In Hybrid Electric Vehicles
    Zhang, Menyang
    Yang, Yan
    Mi, Chunting Chris
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (04) : 1554 - 1566
  • [50] Power management optimization in plug-in hybrid electric vehicles subject to uncertain driving cycles
    Zhang, Hongtao
    Qin, Yanzhou
    Li, Xianguo
    Liu, Xinzhi
    Yan, Jinyue
    ETRANSPORTATION, 2020, 3
12345