PREDICTIVE ENERGY MANAGEMENT FOR PARALLEL HYDRAULIC HYBRID PASSENGER VEHICLE

被引:0
|
作者
Deppen, Timothy O. [1 ]
Alleyne, Andrew G. [1 ]
Stelson, Kim A.
Meyer, Jonathan J.
机构
[1] Univ Illinois, Urbana, IL 61801 USA
来源
PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2010, VOL 2 | 2010年
关键词
POWER MANAGEMENT; SYSTEM;
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, a model predictive control (MPC) approach is presented for solving the energy management problem in a parallel hydraulic hybrid vehicle. The hydraulic hybrid vehicle uses variable displacement pump/motors to transfer energy between the mechanical and hydraulic domains and a high pressure accumulator for energy storage. A model of the parallel hydraulic hybrid powertrain is presented which utilizes the Simscape/Simhydraulics toolboxes of Matlab. These toolboxes allow for a concise description of the relevant powertrain dynamics. The proposed MPC regulates the engine torque and pump/motor displacement in order to track a desired velocity profile while maintaining desired engine conditions. In addition, logic is applied to the MPC to prevent high frequency cycling of the engine. Simulation results demonstrate the capability of the proposed control strategy to track both a desired engine torque and vehicle velocity.
引用
收藏
页码:185 / 192
页数:8
相关论文
共 50 条
  • [31] An Online Energy Management Strategy of Parallel Plug-in Hybrid Electric Buses based on A Hybrid Vehicle-road Model
    Liu, Jichao
    Chen, Yangzhou
    2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 927 - 932
  • [32] Decoding the optimal charge depletion behavior in energy domain for predictive energy management of series plug-in hybrid electric vehicle
    Zhou, Wei
    Cai, Xuan
    Chen, Yaoqi
    Li, Junqiu
    Peng, Xiaoyan
    APPLIED ENERGY, 2022, 316
  • [33] Predictive Energy Management Strategy for Hybrid Electric Air-Ground Vehicle Considering Battery Thermal Dynamics
    Li, Zhe
    Jiao, Xiaohong
    Zha, Mingjun
    Yang, Chao
    Yang, Liuquan
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [34] Rule and Q-learning based Hybrid Energy Management for Electric Vehicle
    Li, Yang
    Tao, Jili
    Han, Kai
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 51 - 56
  • [35] Model-Based Energy Management Strategy for Hybrid Electric Vehicle.
    Aouzellag, Haroune
    Abdellaoui, Hassina
    Iffouzar, Koussaila
    Ghedamsi, Kaci
    2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2015, : 340 - +
  • [36] Energy Management for an 8000 hp Hybrid Hydraulic Mining Shovel
    Abdel-baqi, Omar J.
    Nasiri, Adel
    Miller, Peter J.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2016, 52 (06) : 5041 - 5050
  • [37] Collaborative optimization and energy management of hydraulic hybrid mining trucks
    Li, Hongliang
    Zhu, Denglin
    Shang, Lihua
    Fan, Ping
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 236 (12) : 2773 - 2791
  • [38] Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles
    Kim, Jinsung
    Kim, Hoonhee
    Bae, Jinwoo
    Kim, Dohee
    Eo, Jeong Soo
    Kim, Kwang-Ki K.
    IEEE ACCESS, 2020, 8 : 177896 - 177920
  • [39] Modeling and energy management control design for a fuel cell hybrid passenger bus
    Simmons, Kyle
    Guezennec, Yann
    Onori, Simona
    JOURNAL OF POWER SOURCES, 2014, 246 : 736 - 746
  • [40] Aging-Aware Optimal Energy Management Control for a Parallel Hybrid Vehicle Based on Electrochemical-Degradation Dynamics
    De Pascali, Luca
    Biral, Francesco
    Onori, Simona
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 10868 - 10878