Review of Electric Drive Techniques: Power Enhancement and Drive Intelligence

Abstract

As various industrial fields electrified, the demands for high power capability and high-performance techniques for electric drive systems continue to increase. Several topologies of drive systems with state-of-the-art processors have been introduced and researched. In this context, this paper presents a comprehensive review on emerging techniques of power enhancement methods and intelligent drive techniques. In the conventional drive system fed by a voltage source inverter, the maximum output power of the motor drive systems is limited by the dc-link voltage. Primarily, the dc-link voltage has been increased either with voltage boosting or higher voltage batteries. However, topologies that enable higher voltage to be generated on the machine with the same dc-link voltage, such as a resonant or dual-inverter drive, have been introduced. This paper categorizes and reviews the power capability characteristics of different topologies. In the field of drive intelligence, many studies are being conducted through the improvement of digital signal processors (DSPs) and tools for data-driven modeling. These studies include intelligent control methods to improve real-time control performance and intelligent monitoring methods to ensure system stability. In more detail, the review section on drive intelligence covers i) the parameter mapping-based control method, ii) the machine learning-based control method, and iii) the data-driven system monitoring method.