Projected Gradient and Model Predictive Control : Optimal Energy and Pollutants Management for Hybrid Electric Vehicle

被引：5
|
作者：
Kuchly, Jean [1 ,2 ]
Nelson-Gruel, Dominique [1 ]
Charlet, Alain [1 ]
Chamaillard, Yann [1 ]
Nouillant, Cedric [2 ]
机构：
[1] Univ Orleans, Lab PRISME, Orleans, France
[2] PSA Peugeot Citroen, Rueil Malmaison, France
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 05期
关键词：
Nonlinear System Control; Numerical Optimization; Model Predictive Control; Dynamic Programming; Hybrid Electric Vehicle; Pollutants management; Energy management; STRATEGIES;
D O I：
10.1016/j.ifacol.2019.09.020
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article aims to propose a real-time compatible strategy for the energy management of a compression-ignition Hybrid Electric Vehicle (HEV), under pollutants emissions constraints. First, an offline method is applied in order to obtain a performance reference. Then, an online-oriented approach based on Model Predictive Control (MPC) is described, and a projected gradient algorithm used to solve the successive optimal control problems is explicitly presented. Both approaches are compared through simulation and the results are validated through experimentation. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：121 / 127
页数：7
相关论文
共 50 条
  • [1] Nonlinear Hierarchical Model Predictive Control for the Energy Management of a Hybrid Electric Vehicle
    Keller, Martin
    Schmitt, Lukas
    Abel, Dirk
    [J]. 2019 27TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2019, : 451 - 457
  • [2] Model Predictive Control for Nonlinear Energy Management of a Power Split hybrid Electric Vehicle
    Shi, Dehua
    Wang, Shaohua
    Cai, Yingfeng
    Chen, Long
    Yuan, ChaoChun
    Yin, ChunFang
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2020, 26 (01): : 27 - 39
  • [3] Energy Management of a Parallel Hybrid Electric Vehicle with CVT Using Model Predictive Control
    Tang, Jiahui
    Guo, Lulu
    Gao, Bingzhao
    Liu, Qifang
    Yu, Shuyou
    Chen, Hong
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 4396 - 4401
  • [4] Model Predictive Iterative Learning Control for Energy Management of Plug-In Hybrid Electric Vehicle
    Guo, Hong-Qiang
    Liu, Cong-Zhi
    Yong, Jia-Wang
    Cheng, Xing-Qun
    Muhammad, Fahad
    [J]. IEEE ACCESS, 2019, 7 : 71323 - 71334
  • [5] Model Predictive Control Based Energy Management Strategy for a Plug-In Hybrid Electric Vehicle
    Zhang, Jieli
    He, Hongwen
    Wang, Ximing
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS (ICMEIS 2015), 2015, 26 : 875 - 879
  • [6] Constrained hybrid optimal model predictive control for intelligent electric vehicle adaptive cruise using energy storage management strategy
    Zhang, Ronghui
    Wu, Na
    Wang, Zihan
    Li, Kening
    Song, Zhumei
    Chang, Zhenting
    Chen, Xia
    Yu, Fan
    [J]. JOURNAL OF ENERGY STORAGE, 2023, 65
  • [7] Optimal energy management of fuel cell hybrid electric vehicle based on model predictive control and on-line mass estimation
    Xin, Weiwei
    Xu, Enyong
    Zheng, Weiguang
    Feng, Haibo
    Qin, Jirong
    [J]. ENERGY REPORTS, 2022, 8 : 4964 - 4974
  • [8] Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection
    Glos, Jan
    Solc, Frantisek
    Otava, Lukas
    Vaclavek, Pavel
    [J]. IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 2036 - 2043
  • [9] Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management
    Ripaccioli, G.
    Bemporad, A.
    Assadian, F.
    Dextreit, C.
    Di Cairano, S.
    Kolmanovsky, I. V.
    [J]. HYBRID SYSTEMS: COMPUTATION AND CONTROL, 2009, 5469 : 321 - +
  • [10] 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
    [J]. APPLIED ENERGY, 2017, 185 : 1654 - 1662
12345