D15.5 - Finite Control Set Model Predictive Control Combined with Online Junction Temperature Estimation for Reliability Enhancement of Voltage Source Inverters

Thursday, March 20, 2025

11:30 AM – 1:30 PM ET

Location: Level One, Hall A3

Technical Dialogue Presenter(s)

TZ

Tiefu Zhao

University of North Carolina at Charlotte

Presentation Paper

Co-Author(s)

Qiang Mu

The University of North Carolina at Charlotte
Jiale Zhou

University of North Carolina at Charlotte
Zaheen Mustakin

University of North Carolina at Charlotte
LP

Lucas Pereira

University of North Carolina at Charlotte
BP

Babak Parkhideh

University of North Carolina at Charlotte

In this article, a finite control set model predictive control (FCS-MPC) scheme combined with online junction temperature estimation is proposed. The simulation results indicate that the proposed method facilitates the online estimation of junction temperatures for all SiC power MOSFETs in a three-phase inverter, enabling the closed-loop regulation of their junction temperatures. Additionally, the method significantly enhances the reliability of power MOSFETs by substantially reducing their junction temperatures, but it sacrifices the corresponding THD of the grid current. Finally, the superiority of the proposed method is verified by comparing it with the single-vector MPC under finite set model predictive control, and the double-vector and triple-vector MPC methods under continuous set model predictive control. This paper lays the foundation for better applying MPC algorithm to reliability improvement projects in the future.