Optimal energy management for hybrid electric aircraft

被引:19
|
作者
Doff-Sotta, Martin [1 ]
Cannon, Mark [1 ]
Bacic, Marko [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Oxford, England
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Energy Management; Nonlinear Model Predictive Control; Convex Programming;
D O I
10.1016/j.ifacol.2020.12.1672
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a point-mass aircraft dynamical model with models of electrical and mechanical powertrain losses, the fuel consumed over a planned future flight path is minimised subject to constraints on the battery, electric motor and gas turbine. The resulting optimisation problem is used to define a predictive energy management control law that takes into account the variation in aircraft mass during flight. A simulation study based on a representative 100-seat aircraft with a prototype parallel hybrid electric propulsion system is used to investigate the properties of the controller. We show that an optimisation-based control strategy can provide significant fuel savings over heuristic energy management strategies in this context. Copyright (C) 2020 The Authors.
引用
收藏
页码:6043 / 6049
页数:7
相关论文
共 50 条
  • [21] Modeling and optimal energy management of a power split hybrid electric vehicle
    SHI DeHua
    WANG ShaoHua
    Pierluigi Pisu
    CHEN Long
    WANG RuoChen
    WANG RenGuang
    Science China(Technological Sciences), 2017, 60 (05) : 713 - 725
  • [22] Optimal Energy Management for a Hybrid Electric Vehicle With a Power Split Supercharger
    Nazari, Shima
    Siegel, Jason
    Stefanopoulou, Anna
    2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,
  • [23] Modeling and optimal energy management of a power split hybrid electric vehicle
    SHI DeHua
    WANG ShaoHua
    Pierluigi Pisu
    CHEN Long
    WANG RuoChen
    WANG RenGuang
    Science China(Technological Sciences), 2017, (05) : 713 - 725
  • [24] Modeling and optimal energy management of a power split hybrid electric vehicle
    DeHua Shi
    ShaoHua Wang
    Pierluigi Pisu
    Long Chen
    RuoChen Wang
    RenGuang Wang
    Science China Technological Sciences, 2017, 60 : 713 - 725
  • [25] Optimal Control and Energy Management for Hybrid Gas-Electric Propulsion
    Richter, Hanz
    Connolly, Joseph W.
    Simon, Donald L.
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2020, 142 (09):
  • [26] Optimal energy management for a series-parallel hybrid electric bus
    Xiong, Weiwei
    Zhang, Yong
    Yin, Chengliang
    ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (07) : 1730 - 1738
  • [27] Optimal Energy Management in Hybrid Electric Trucks Using Route Information
    van Keulen, T.
    de Jager, B.
    Serrarens, A.
    Steinbuch, M.
    OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES, 2010, 65 (01): : 103 - 113
  • [28] Modeling and optimal energy management of a power split hybrid electric vehicle
    Shi DeHua
    Wang ShaoHua
    Pisu, Pierluigi
    Chen Long
    Wang RuoChen
    Wang RenGuang
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2017, 60 (05) : 713 - 725
  • [29] Energy-optimal off-design power management for hybrid-electric aircraft (vol 95, 105507, 2019)
    Riboldi, Carlo E. D.
    AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 101
  • [30] Optimal Energy Management for a Mild Hybrid Vehicle With Electric and Hybrid Engine Boosting Systems
    Nazari, Shima
    Siegel, Jason
    Stefanopoulou, Anna
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (04) : 3386 - 3399