Open AccessConvex multi‐objective optimization for a hybrid fuel cell power system of more electric aircraft
Author(s) -
Salehpour Mohammad J.,
Zarenia Omid,
Hosseini Rostami Seyyed Mohammad,
Wang Jin,
Lim SeJung
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12427
Subject(s) - fuel efficiency , integer programming , mathematical optimization , nonlinear programming , convex optimization , power (physics) , computer science , multi objective optimization , nonlinear system , automotive engineering , engineering , regular polygon , mathematics , geometry , quantum mechanics , physics
Summary This paper proposes a multiobjective optimization for fuel consumption (including fossil fuel and hydrogen) and polluted gas emission in a hybrid electric aircraft. The proposed convex multiobjective model aims at minimizing the total fuel consumption during the entire flight mission as well as the corresponding fuel cell size. The problem is formulated as mixed‐integer nonlinear programming using the Karush–Kuhn–Tucker optimality condition and solved by GAMS. Solving the proposed computationally efficient problem showed that, compared with the conventional hybrid‐electric aircraft, the optimum fuel cell power can improve the aircraft performance in terms of fuel consumption and polluted gas emission.