Multiple Time Scale Energy Management for a Fuel Cell Ship Propulsion System

被引:0
作者
Shi, Junzhe [1 ]
Jiang, Shida [1 ]
Aarsnes, Ulf Jakob Flo [2 ]
Nerheim, Dagfinn [3 ]
Moura, Scott [1 ]
机构
[1] Univ Calif Berkeley, Dept Civil & Environm Engn, 760 Davis Hall, Berkeley, CA 94720 USA
[2] NORCE, Postboks 22, N-5838 Bergen, Norway
[3] Corvus Energy, Sandbrekketoppen 30, N-5224 Bergen, Norway
来源
2024 EUROPEAN CONTROL CONFERENCE, ECC 2024 | 2024年
关键词
D O I
10.23919/ECC64448.2024.10591110
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electrified propulsion systems, such as fuel cells (FCs) and batteries, are a promising solution to decarbonize the shipping sector. In this paper, we have conducted a comprehensive analysis of two months' worth of real-world container ship power demand data. From this analysis, we propose a novel multi-time scale Energy Management System (EMS) approach for a hybrid FC/battery propulsion system. This approach enables the individual control of each FC stack while factoring in battery and FC degradation losses and fuel consumption costs. By exploring different time scales, we have assessed the trade-offs between time complexity and system optimality, which has led us to devise an efficient strategy for the energy management of FC/battery hybrid ships.
引用
收藏
页码:192 / 199
页数:8
相关论文
共 24 条
  • [11] Multi-Time Scale Coordination of Distributed Energy Resources in Isolated Power Systems
    Mayhorn, Ebony
    Xie, Le
    Butler-Purry, Karen
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) : 998 - 1005
  • [12] Power management optimization of fuel cell/battery hybrid vehicles with experimental validation
    Odeim, Farouk
    Roes, Juergen
    Wuelbeck, Lars
    Heinzel, Angelika
    [J]. JOURNAL OF POWER SOURCES, 2014, 252 : 333 - 343
  • [13] A quick evaluating method for automotive fuel cell lifetime
    Pei, Pucheng
    Chang, Qianfei
    Tang, Tian
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2008, 33 (14) : 3829 - 3836
  • [14] Energy management strategy for battery/supercapacitor hybrid electric city bus based on driving pattern recognition
    Shi, Junzhe
    Xu, Bin
    Shen, Yimin
    Wu, Jingbo
    [J]. ENERGY, 2022, 243
  • [15] A cloud-based energy management strategy for hybrid electric city bus considering real-time passenger load prediction
    Shi, Junzhe
    Xu, Bin
    Zhou, Xingyu
    Hou, Jun
    [J]. JOURNAL OF ENERGY STORAGE, 2022, 45
  • [16] A comprehensive evaluation framework to evaluate energy management strategies of fuel cell electric vehicles
    Song, Ke
    Chen, Huan
    Wen, Peimin
    Zhang, Tao
    Zhang, Boqiang
    Zhang, Tong
    [J]. ELECTROCHIMICA ACTA, 2018, 292 : 960 - 973
  • [17] Ulbig A., 2011, IFAC P, V44, P10472, DOI [DOI 10.3182/20110828-6-IT-1002.01859, 10.3182/20110828-6-IT-1002.01859]
  • [18] Loss of integrity of hydrogen technologies: A critical review
    Ustolin, Federico
    Paltrinieri, Nicola
    Berto, Filippo
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (43) : 23809 - 23840
  • [19] Predictive Hierarchical Control of Power Flow in Large-Scale PV Microgrids With Energy Storage
    Valibeygi, Amir
    Konakalla, Sai Akhil Reddy
    de Callafon, Raymond
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (01) : 412 - 419
  • [20] Cycle-life model for graphite-LiFePO4 cells
    Wang, John
    Liu, Ping
    Hicks-Garner, Jocelyn
    Sherman, Elena
    Soukiazian, Souren
    Verbrugge, Mark
    Tataria, Harshad
    Musser, James
    Finamore, Peter
    [J]. JOURNAL OF POWER SOURCES, 2011, 196 (08) : 3942 - 3948