Predictive Energy Management for Hybrid Electric Aircraft Propulsion Systems

We present a model predictive control (MPC) algorithm for energy management in aircraft with hybrid electric propulsion systems consisting of gas turbine and motor components. Series parallel configurations are considered. By combining point-mass dynamical models electrical losses the turbine, fuel consumed over given future flight path is minimized subject to constraints on battery, motor, turbine. The optimization formulated as convex problem under mild assumptions its solution used define law that takes into account variation mass during flight. investigate performance algorithms solving this problem. An alternating direction method multipliers (ADMM) proposed compared general purpose interior point solver. also show ADMM implementation reduces required computation time by orders magnitude comparison nonlinear programming solver, making it suitable real-time supervisory control.