Design and Implementation of a Control System for Electric Vehicles Using Model Predictive Control

Abstract

The demand for electric energy from renewable sources is on the rise. Among various renewable energy sources, wind
power stands out as a leader in success. This success can be attributed to decreasing power unit costs, advancements
in energy conversion technologies, government incentives for green energy, environmental advantages, and the
availability of wind both onshore and offshore. At least one power converter is required in order to connect a variable
speed wind turbine-driven generator to the electrical grid. The T-type neutral-point clamped converter has gained
popularity recently in low-voltage applications due to its advantages over traditional two-level voltage source inverters
and three-level diode-clamped converters. The finite-control-set model predictive control technique is gaining
popularity in power converter control applications, such as wind energy conversion systems, because of its benefits,
which include eliminating the need for a modulating stage and being easy to implement. To solve the common mode
voltage (CMV) problem for a 3L T-type NPC converter, we suggest a reduced control set (RCS) model predictive
control technique