Modified Deadbeat Predictive Current Control based Onboard Charger for Integration with Smart Home

The integration of a bidirectional electric vehicle (EV) charger with the smart home energy management device (s-HEMD) is presented in this work. This integration allows the EV charger to operate under two distinct modes of charging such as, grid optimized charging and priority charging. During grid optimized charging operation, a multistep constant current (MSCC) charging control is enabled. In this control, local peak load hours and state of charge of EV batteries are used to change the charging current amplitude. Moreover, the priority charging mode of operation keeps the charging current amplitude constant and charges the vehicle with the available source. Furthermore, the bidirectional operation of the EV charger has facilitated the battery of LEV with the vehicle-to-home (V2H) operation. Since MSCC charging operation is similar to varying load operation, a modified deadbeat predictive current control (m-DPCC) scheme is utilized to switch the front-end converter (FEC) of the EV charger. Moreover, the m-DPCC allows the EV charger to operate effectively during the grid voltage sag and swell. Performance of the designed system is verified through simulation and test results. The distinct modes of operations, such as a grid to LEV (G2V) mode, solar to the LEV (S2V), and LEV to home (V2H) verify the performance. At last the performance of the EV charger is analyzed for IEEE-519 standard.