A High-Level Optimal Charging Management Strategy Using Model Predictive Control for Megawatt Charging Station

Model predictive control (MPC), due to various advantages, is considered a potential control algorithm in high-level control of charging stations. Using proper cost function and optimization techniques, addressing the issues of charging stations in an optimal path can be easily achieved with MPC. Nowadays, considering the set target of the electric transportation fleet, trucks are not exempt. Mega charging stations (MCS) are suggested as a solution to decrease charging time. In this paper, an MPC-based charging management strategy is developed to address the main issues of MCS (efficiency and charging time). The proposed strategy is simulated in MATLAB. The algorithm is also compared with two other approaches to get validated on different aspects. The results are promising, with a dominant decrease in average energy loss in 2000 random charging events. The EV charging model and a low fidelity model are also developed in Simulink/MATLAB to evaluate the mathematical model's accuracy.