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
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