Reduced Sensor-Based Model Predictive Control of Power Decoupling Circuit for On-Board EV Charger

AC–dc power conversion in electric vehicle (EV) chargers is performed by front-end voltage source converter (VSC). Owing to the fact that double-line frequency ripple power is produced in ac–dc conversion, active power decoupling (APD) circuit enables the use of long-life film capacitors by providing an alternate path to dc-side ripple power. With the objective to perform decoupling operation under nonideal grid conditions without sensing the decoupling capacitor voltage, this article presents a voltage sensorless modulated model predictive control (VS-MMPC) approach for APD circuit. With the ease-of-implementation and provision to approach high-switching frequency, in presented MMPC scheme a voltage vector is formulated to directly track the ripple power. By reconstructing the dynamic model based on Euler’s approximation, the decoupling voltage senseless operation is achieved. A comparative study with the state-of-the-art decoupling control under nonideal grid conditions shows that the presented control offers improved dynamic performance with reduced execution time. In addition, a detailed stability analysis based on the Lyapunov theorem and pole-assessment criterion, is also discussed in this article. The proof-of-concept of the presented dual-objective-based MMPC algorithm for APD circuit employed in EV on-board chargers is verified through MATLAB simulations and experimental results.