Innovation design and optimization management of a new drive system for plug-in hybrid electric vehicles

被引:36
|
作者
Zhang, LiPeng [1 ]
Liu, Wei [1 ]
Qi, Bingnan [2 ]
机构
[1] Yanshan Univ, Hebei Key Lab Special Delivery Equipment, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Plug-in hybrid electric vehicle; Multi-mode coupling drive system; Configure design; Parameter optimum; Energy management; MODEL-PREDICTIVE CONTROL; GENETIC ALGORITHM; ENERGY; STRATEGY;
D O I
10.1016/j.energy.2019.07.153
中图分类号
O414.1 [热力学];
学科分类号
摘要
A multi-mode coupling drive system has been designed and controlled to improve the dynamic characteristics and fuel economy of plug-in hybrid electric vehicles, which also can make full use of the configured superiority of centralized drive systems and distributed drive systems and avoid their structural defects. The configuration evolution process, working mechanism and drive modes of the multi-mode coupling drive system are introduced. The powertrain model is established for the target vehicle. Based on Charge Depleting-Charge Sustaining energy management strategy, an Electric Vehicle-Charge Sustaining energy management strategy is developed. The Improved Real-valued Genetic Algorithm is used to optimize the system structural and control parameters, it can help prioritize the drive modes which are based on the proposed energy management strategy. While ensuring the vehicle dynamics, the best energy allocation is achieved. The results show that comparing with a series distributed drive hybrid system and the intelligent Multi-Mode Drive (i-MMD) hybrid system under the NEDC condition, the 100-km fuel consumption of the optimized multi-mode coupling drive system is reduced by 16.52% and 15.40%. Respectively, it further proves the superiority of the drive system in improving vehicle economy. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] A novel energy management method for series plug-in hybrid electric vehicles
    Chen, Zheng
    Xia, Bing
    You, Chenwen
    Mi, Chunting Chris
    APPLIED ENERGY, 2015, 145 : 172 - 179
  • [42] A predictive controller for real-time energy management of plug-in hybrid electric vehicles
    Hassanzadeh, Mojtaba
    Rahmani, Zahra
    ENERGY, 2022, 249
  • [43] Adaptive intelligent energy management system of plug-in hybrid electric vehicle
    Khayyam, Hamid
    Bab-Hadiashar, Alireza
    ENERGY, 2014, 69 : 319 - 335
  • [44] Energy management for plug-in hybrid electric vehicles using equivalent consumption minimisation strategy
    Tulpule, Pinak
    Marano, Vincenzo
    Rizzoni, Giorgio
    INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2010, 2 (04) : 329 - 350
  • [45] An adaptive co-state design method for PMP-based energy management of plug-in hybrid electric vehicles based on fuzzy logical control
    Liu, Xiaodong
    Du, Juan
    Ma, Jian
    Liu, Gang
    Xiong, Yanfeng
    JOURNAL OF ENERGY STORAGE, 2024, 102
  • [46] Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles
    Tang, Xiaolin
    Jia, Tong
    Hu, Xiaosong
    Huang, Yanjun
    Deng, Zhongwei
    Pu, Huayan
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2021, 7 (02) : 497 - 508
  • [47] Distributed Online Optimization for Charging and Discharging of Plug-in Electric Vehicles
    Xiong, Haiming
    Chi, Ming
    Liu, Zhi-Wei
    Hu, Dandan
    Zhu, Liang -Liang
    Jiang, Cheng
    Gui, Jun -Ping
    Rao, Yao
    2022 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS, CBS, 2022, : 407 - 412
  • [48] Power System Stabilization by Charging Power Management of Plug-in Hybrid Electric Vehicles with LFC Signal
    Takagi, Masaaki
    Yamaji, Kenji
    Yamamoto, Hiromi
    2009 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VOLS 1-3, 2009, : 731 - 735
  • [49] Route Preview in Energy Management of Plug-in Hybrid Vehicles
    Zhang, Chen
    Vahidi, Ardalan
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (02) : 546 - 553
  • [50] Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system
    Zhang, Shuo
    Xiong, Rui
    Sun, Fengchun
    APPLIED ENERGY, 2017, 185 : 1654 - 1662