Convexification in energy optimization of a hybrid electric propulsion system for aerial vehicles

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dc.contributor.authorXie, Ye
dc.contributor.authorHe, Shaoming
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorZhang, Dan
dc.contributor.authorXie, Anhuan
dc.date.accessioned2022-04-08T13:28:28Z
dc.date.available2022-04-08T13:28:28Z
dc.date.issued2022-03-30
dc.description.abstractThis paper concerns the energy management of a hybrid electric propulsion system for aerial vehicles, using convex optimization. The main contribution of this paper is the proposal of a new convexification, which simplifies the formation of the convexified problem, and the proof of equality between the original problem and the convexified problem. The primary energy management is formulated from first principles and using experimental data. The convexity of the original problem is clarified via investigating the approximation to the experimental data. Then, change of variables and equality relaxation are implemented to convexify the concave constraints. The introduced variable—battery internal energy, is proposed to convexify the battery model. The relaxation of a non-affine equality yields to new convex inequality constraints. Numerical examples and forward simulations were carried out to validate the convexified problem. The first test case verifies that the convex relaxation does not sacrifice the optimality of the solution nor does the variable change lose the original bounds. Also, the optimal control from convex optimization is demonstrated to be robust to a disturbance in power demand. Comparison with the benchmark optimization—dynamic programming, shows that convex optimization achieves a minimal objective value with less fluctuation of the optimal control value. Most significant is that the convexification reduces the optimization computation time to a level compatible with implementation in practical application.en_UK
dc.identifier.citationXie Y, He S, Savvaris A, et al., (2022) Convexification in energy optimization of a hybrid electric propulsion system for aerial vehicles. Aerospace Science and Technology, Volume 123, April 2022, Article number 107509en_UK
dc.identifier.issn1270-9638
dc.identifier.urihttps://doi.org/10.1016/j.ast.2022.107509
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17758
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHybrid electric vehiclesen_UK
dc.subjectAerial vehiclesen_UK
dc.subjectEnergy managementen_UK
dc.subjectConvex optimizationen_UK
dc.subjectConvexificationen_UK
dc.titleConvexification in energy optimization of a hybrid electric propulsion system for aerial vehiclesen_UK
dc.typeArticleen_UK

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