Abstract:
The Battery Electric Vehicle charger serves as a crucial link between the grid and the ve hicle in three-phase configurations with lithium-ion batteries on the vehicle side, promis ing faster charging, extended lifespan, and higher power density. However, managing power flow in these setups presents significant challenges. For balanced onboard charg ing, an unregulated rectifier DC-DC buck converter has been implemented. This research introduces an innovative control system for BEV chargers featuring a three-phase model, enabling efficient unidirectional power transfer in Grid-to-Vehicle (G2V) mode. A con strained Model Predictive Controller (MPC) is devised to regulate the unidirectional power converter during G2V operations, ensuring precise control of charger current and output voltage. The MPC is tailored with a unit prediction horizon, meaning it predicts just one step ahead, to keep computational expenses low. Its design aims for perfor mance similar to our preferred linear controller, the H-infinity controller. We employ inverse optimal control techniques to set the weight matrices for the cost function. Us ing MATLAB simulations, we compare its performance with H-infinity optimal control based on linear matrix inequality, confirming its similarity in performance. Furthermore, we evaluate the MPC against sliding mode control, a nonlinear approach, demonstrating its ability to achieve comparable or even better performance. Moreover, the efficacy of the suggested controllers for BEV chargers is confirmed through Hardware-in-the-Loop experimental validation, utilizing the dual-core microcontroller Delfino F28369D.
