A New Generalized Multisource Inverter for Electric Vehicles Controlled by Model Predictive

Abstract

A multisource inverter comprises multiple dc sources in the input that can be combined with varying voltage levels to operate under different loads and reduce the battery capacity requirements of electric vehicles. This article introduces a generalized topology for multisource inverters (MSIs) aimed at reducing the number of power electronics switches, lowering voltage stress on power switches, and minimizing the battery size. A dual-source inverter, based on the proposed generalized configuration, can generate four combinations that reduce the battery size of electric vehicles (EVs) while minimizing power losses. To harness the advantages of model predictive control, the proposed dual-source traction inverter is controlled using this method. The feasibility of the proposed approach is validated through simulation results, which demonstrate its suitability as a drive for an electric motor. The outcomes indicate that model predictive control is a viable alternative for such applications, offering simplicity, high performance, and low harmonic content. Furthermore, experimental results for a static load are presented to verify the correct operation of the proposed system.