Computation of eco-driving cycles for Hybrid Electric Vehicles: Comparative analysis

被引:44
|
作者
Maamria, D. [1 ]
Gillet, K. [1 ]
Colin, G. [1 ]
Chamaillard, Y. [1 ]
Nouillant, C. [2 ]
机构
[1] Univ Orleans, PRISME, EA 4229, F-45072 Orleans, France
[2] PSA Peugeot Citroen, Direct Rech Innovat & Technol Avancees DRIA, Vesoul, France
关键词
Eco-driving; Hybrid Electric Vehicle (HEV); Dynamic Programming (DP); Energy management; Complexity analysis; Model reduction; ENERGY MANAGEMENT;
D O I
10.1016/j.conengprac.2017.10.011
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, the calculation of eco-driving cycles for a Hybrid Electric Vehicle (HEV), using Dynamic Programming (DP), is investigated from the complexity-solving method viewpoint. The study is based on a comparative analysis of four optimal control problems formulated using distinct levels of modeling. Starting with three state dynamics (vehicle position and speed, battery state-of-charge) and three control variables (engine and electric machine torque, gear-box ratio), the number of state variables is reduced to two in a first simplification. The other two simplifications are based on decoupling the optimization of the control variables into two steps: an eco-driving cycle is calculated assuming that the vehicle is propelled only by the engine. Then, knowing that the vehicle follows the eco-driving cycle calculated in the first step, an off-line energy management strategy (torque split) for an HEV is calculated to split the requested power at the wheels between the electric source and the engine. As is shown, the decreased complexity and the decoupling optimization lead to a sub-optimality in fuel economy while the computation time is noticeably reduced. Quantitative results are provided to assess these observations. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:44 / 52
页数:9
相关论文
共 50 条
  • [31] Eco-driving for connected automated hybrid electric vehicles in learning-enabled layered transportation systems
    Yan, Su
    Fang, Jiayi
    Yang, Chao
    Chen, Ruihu
    Liu, Hui
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2025, 142
  • [32] Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles
    Tang, Xiaolin
    Zheng, Linyang
    Chen, Jiaxin
    Chen, Zhige
    Qin, Yechen
    ENERGY CONVERSION AND MANAGEMENT, 2024, 321
  • [33] The Analysis of Available Data on Energy Efficiency of Electric Vehicles to be Used for Eco-Driving Project Development
    Maljkovic, M.
    Stamenkovic, D.
    Blagojevic, I
    Popovic, V
    SCIENCE & TECHNIQUE, 2019, 18 (06): : 504 - 508
  • [34] Development and analysis of eco-driving metrics for naturalistic instrumented vehicles
    Tanvir, Shams
    Chase, R. T.
    Roupahil, N. M.
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 25 (03) : 235 - 248
  • [35] Evaluation of the driving performance and user acceptance of a predictive eco-driving assistance system for electric vehicles
    Chada, Sai Krishna
    Goerges, Daniel
    Ebert, Achim
    Teutsch, Roman
    Subramanya, Shreevatsa Puttige
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 153
  • [36] Eco-Driving of Electric Vehicles: Objective and Subjective Evaluation of Passenger Comfort by a Dynamic Driving Simulator
    Xue, Haoxiang
    Ballo, Federico
    Previati, Giorgio
    Gobbi, Massimiliano
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 74 (01) : 402 - 412
  • [37] Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion
    Lacombe, Remi
    Gros, Sebastien
    Murgovski, Nikolce
    Kulcsar, Balazs
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (03) : 3048 - 3063
  • [38] Model-Based Reinforcement Learning for Eco-Driving Control of Electric Vehicles
    Lee, Heeyun
    Kim, Namwook
    Cha, Suk Won
    IEEE ACCESS, 2020, 8 : 202886 - 202896
  • [39] Design and experimental validation of eco-driving system for connected and automated electric vehicles
    Luo, Xi
    Cheng, Yifan
    Hong, Jinlong
    Dong, Shiying
    Na, Xiaoxiang
    Gao, Bingzhao
    Chen, Hong
    CONTROL ENGINEERING PRACTICE, 2025, 154
  • [40] Eco-Driving Assistance System for Electric Vehicles based on Speed Profile Optimization
    Lin, Xiaohai
    Goerges, Daniel
    Liu, Steven
    2014 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2014, : 629 - 634