MPC Based Optimal Energy Management of Electrical Vehicles with Hybrid Energy Storage on Fixed Routine

This article presents a model predictive control (MPC) based energy management strategy for electric vehicles powered by hybrid power sources, focusing on their performance improvements while running on fixed routines. The idea is to utilize the historic operation data to improve the energy allocation optimization solutions, with the goal of enhancing the energy efficiency of electric vehicles running on fixed driving routes by minimising losses through minimum battery current operations and extending the vehicles' driving range. Key contributions include the formulation of a model predictive control based energy allocation problem, and the implementation of convex hull constrained MPC based on historic data. Simulation results demonstrate the continual performance improvements in the presence of uncertainties being introduced into the system.