Convex multi‐objective optimization for a hybrid fuel cell power system of more electric aircraft

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.