Application of Classical numerical methods (CNM) for Digital maximum power point tracking (DMPPT) confronts g limited range of operation, PV array dependence and accuracy of the initial guess. In addition, the DC-DC converter cannot be treated as a black box for DMPPT, by ignoring the effects of the converter topological design and dynamics. In order to address such issues Hybrid Techniques (HT) have been presented, along with theoretical analysis to determine the optimum performance of DMPPT applications on various DC-DC converter designs. In this paper, the HT is a combination of the modified incremental conductance method (MINC) and modified CNM. An overview of MCNM, which applied to the photovoltaic (PV) application, has also been presented. The HT not only address the issues confronted by the CNM, but also remove the steady state error for the conventional MPPT technique. To measure the effectiveness of the proposed MCNM techniques, Boost, 2-Stage Switch Capacitor Based (2-SSC) Boost, and Optimum Buck Converters (OBC) have been employed. Simulation and experimental results are provided to validate the effectiveness of the proposed techniques.

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With the increase proliferation of electric vehicles in the world, the demand for more reliable power electronics drive train is also on the rise. While theoretically the use of multiphase (more than three-phase) motors can increase the reliability of electrical drive train for EV, they are generally not commercially ready and available in the market. Hence, three-phase drive train are still the main stream in current EV technology and the fault-tolerant control of these motor drives remain an interesting and important topic. In this presentation, the existing fault tolerant three-phase motor drive topologies and control methods are reviewed. In particular, the post-fault controls of three-phase motor using 4 legs inverters are discussed and the opportunity for voltage utilization improvement with this configuration is demonstrated.