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  • 标题:Optimal energy management for hybrid electric aircraft
  • 本地全文:下载
  • 作者:Martin Doff-Sotta ; Mark Cannon ; Marko Bacic
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:6043-6049
  • DOI:10.1016/j.ifacol.2020.12.1672
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA 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.
  • 关键词:KeywordsEnergy ManagementNonlinear Model Predictive ControlConvex Programming
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