Adaptive Tube-Based Model Predictive Control for the Receiving-Side DC–DC of Dynamic Wireless Power Transfer System

Dynamic wireless power transfer (DWPT) technology provides a reliable and safe approach for charging electric vehicles. However, the mobility of electric vehicles results in fluctuations in the dynamic coupling coefficient, which can reduce the stability and transmission power of the system. To improve the DWPT system’s dynamic performance, this article proposes the adaptive tube-based model predictive control (ATMPC) algorithm to control the DWPT system. The ATMPC algorithm adds a NAR-based tube to a two-layer model predictive control (MPC). The algorithm can dynamically plan the expectation trajectory according to the fluctuation of mutual sensing of the DWPT system and adaptively tighten or loosen the tube for constraints, thus improving the dynamic performance. In addition, the algorithm also deals the hardware environment delay problem by the predictive compensation. Finally, the proposed algorithm is verified on an 85 kHz, 1.5-kW DWPT experimental platform.