Predictive cruise control in hybrid electric vehicles

被引：0
作者：
van Keulen, Thijs [1 ]
Naus, Gerrit [1 ]
de Jager, Bram [1 ]
van de Molengraft, René [1 ]
Steinbuch, Maarten [1 ]
Aneke, Edo [2 ]
机构：
[1] Eindhoven University of Technology, P.O. Box 513, Eindhoven
[2] TNO business unit Automotive, P.O. Box 756, Helmond
来源：
World Electric Vehicle Journal | 2009年 / 3卷 / 03期
关键词：
Energy consumption; HEV (Hybrid Electric Vehicle); Optimization; Regenerative braking; Truck;
D O I：
10.3390/wevj3030494
中图分类号：
学科分类号：
摘要：
Deceleration rates have considerable influence on the fuel economy of hybrid electric vehicles. Given the vehicle characteristics and actual/measured operating conditions, as well as upcoming route information, optimal velocity trajectories can be constructed that maximize energy recovery. To support the driver in tracking of the energy optimal velocity trajectory, automatic cruise control is an important driver aid. In practice, perfect tracking of the optimal velocity trajectory is often not possible. An Adaptive Cruise Control (ACC) system is employed to react to the actual traffic situation. The combination of optimal velocity trajectory construction and ACC is presented as Predictive Cruise Control (PCC). © 2009 AVERE.
引用
收藏
页码：494 / 504
页数：10
相关论文
共 50 条
  • [31] Research on optimal control method of hybrid electric vehicles
    Lian, Jing
    Han, Hu
    Li, Linhui
    Zhou, Yafu
    Feng, Jian
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (09): : 1137 - 1146
  • [32] Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections
    Chen, Jian
    Qian, Li-Jun
    Xuan, Liang
    IET INTELLIGENT TRANSPORT SYSTEMS, 2020, 14 (13) : 1903 - 1912
  • [33] 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
  • [34] Scenario Model Predictive Control for Data-Based Energy Management in Plug-In Hybrid Electric Vehicles
    East, Sebastian
    Cannon, Mark
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2022, 30 (06) : 2522 - 2533
  • [35] Multi-Level Model Predictive Control for the Energy Management of Hybrid Electric Vehicles Including Thermal Derating
    Machacek, David Theodor
    Barhoumi, Kerim
    Ritzmann, Johannes Martin
    Huber, Thomas
    Onder, Christopher Harald
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (10) : 10400 - 10414
  • [36] An Optimal Control Strategy for Plug-In Hybrid Electric Vehicles Based on Enhanced Model Predictive Control With Efficient Numerical Method
    Zhang, Yuanjian
    Huang, Yanjun
    Chen, Zheng
    Li, Guang
    Liu, Yonggang
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (02): : 2516 - 2530
  • [37] Hierarchical predictive control for electric vehicles with hybrid energy storage system under vehicle-following scenarios
    Wu, Yue
    Huang, Zhiwu
    Hofmann, Heath
    Liu, Yongjie
    Huang, Jiahao
    Hu, Xiaosong
    Peng, Jun
    Song, Ziyou
    ENERGY, 2022, 251
  • [38] Real-Time Nonlinear Model Predictive Control for the Energy Management of Hybrid Electric Vehicles in a Hierarchical Framework
    Schmitt, Lukas
    Keller, Martin
    Albin, Thivaharan
    Abel, Dirk
    2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 1961 - 1967
  • [39] A predictive energy management system for hybrid energy storage systems in electric vehicles
    Zhang, Qiao
    Li, Gang
    ELECTRICAL ENGINEERING, 2019, 101 (03) : 759 - 770
  • [40] Optimal Energy Management and Velocity Control of Hybrid Electric Vehicles
    Uebel, Stephan
    Murgovski, Nikolce
    Tempelhahn, Conny
    Baeker, Bernard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (01) : 327 - 337
12345