Eco-Driving for Inland River Transport: The Potential of Speed Optimization

被引:0
作者
Hyenne, L. [1 ]
Amoros, F. [1 ,2 ,3 ]
Nottellet, B. [1 ]
Lhomme, W. [2 ]
Charpentier, J-F. [3 ]
Billard, J-Y. [3 ]
机构
[1] Segula Technol, Le Havre, France
[2] Univ Lille, Arts & Metiers Inst Technol, Cent Lille, Junia,ULR 2697 L2EP, F-59000 Lille, France
[3] French Naval Acad Res Inst IRENav, Brest, France
来源
2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC | 2023年
关键词
Eco-driving; inland waterway shipping; propulsion; optimization;
D O I
10.1109/VPPC60535.2023.10403209
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the needs for sustainable freight transport solutions grow, river freight cargo is considered to be a promising track. In this paper, potential gains with eco-driving on-board advisor are discussed. A projected gradient optimization method is used to minimize hydrodynamic losses according to hydrodynamic ship resistance estimation model in restricted area. Optimized speed profiles are edited for a 135 meters long freight vessel and the consumption gains are compared for different travel times and waterways topologies. The method allows up to 24% theoretical gains without increasing travel time, highly depending on the travel duration constraint and on the sizes of both ship and canal. The results also show a consumption reduction up to 35% by reducing travel speed by less than 5%.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Data-based speed-limit-respecting eco-driving system
    Suzdaleva, Evgenia
    Nagy, Ivan
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 44 : 253 - 264
  • [32] Compute Optimal Travel Duration in Eco-Driving applications
    Ciarla, Valentina
    Chasse, Alexandre
    Moulin, Philippe
    Ojeda, Luis Leon
    IFAC PAPERSONLINE, 2016, 49 (11): : 519 - 524
  • [33] Review on eco-driving control for connected and automated vehicles
    Li, Jie
    Fotouhi, Abbas
    Liu, Yonggang
    Zhang, Yuanjian
    Chen, Zheng
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 189
  • [34] Design of BRT Eco-Driving System
    Wang, Zhuoer
    Wei, Lan
    Zhang, Xuewei
    Zhou, Zhengkang
    2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, : 534 - 539
  • [35] Modeling and Verification of Eco-Driving Evaluation
    Liu, Lin
    Hu, Nenglong
    Peng, Zhihu
    Zhan, Shuxian
    Gao, Jingting
    Wang, Hong
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2024, 20 (03): : 296 - 306
  • [36] Benefits of Eco-Driving Case Study
    Pelenyte-Vysniauskiene, L.
    Silinskas, T.
    Bartulis, A.
    INTELLIGENT TECHNOLOGIES IN LOGISTICS AND MECHATRONICS SYSTEMS, ITELMS 2013, 2013, : 200 - 203
  • [37] Multi-Train Eco-Driving and Safety-Tracking Cooperative Optimization by Nonlinear Programming
    Chen, Mo
    Murgovski, Nikolce
    Xiao, Zhuang
    Feng, Xiaoyun
    Wang, Qingyuan
    Sun, Pengfei
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 74 (02) : 2406 - 2417
  • [38] Multi-factor Integration Based Eco-driving Optimization of Vehicles with Same Driving Characteristics
    Liu, Lin
    Li, Chunyuan
    Hua, Xinze
    Li, Yongfu
    Liu, Lin
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 6871 - 6876
  • [39] An Eco-Driving Control Strategy for Connected Electric Vehicles at Intersections Based on Preceding Vehicle Speed Prediction
    Zhang, Zhe
    Ding, Haitao
    Guo, Konghui
    Zhang, Niaona
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2025, 11 (01): : 1754 - 1766
  • [40] Progress and Prospect in Research on Eco-driving
    Fu R.
    Zhang Y.-L.
    Yuan W.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (03): : 1 - 12