Optimal DC-Link Voltage Mapping for SiC-Based EV Drives: Considering the Impact of a Synchronous Boost Converter
Journal article, 2025

This paper seeks to identify an optimal DC-link voltage across the complete range of drive operating conditions utilizing a loss minimization approach by integrating a DC-DC converter into the powertrain, thereby enhancing powertrain efficiency. This involves a comprehensive analysis of power losses in a connected silicon carbide (SiC)-based converter-inverter system, incorporating temperature variations, alongside a finite element method (FEM) analysis of losses in an Interior Permanent Magnet (IPM) synchronous machine, accounting for variable DC-link voltages. The results are then compared with those of traditional silicon-insulated-gate bipolar transistor (Si-IGBT) systems. The findings reveal that including a DC-DC converter into a powertrain, and adjusting the optimum DC-link voltages, is advantageous, particularly for low battery terminal voltages. Consequently, the powertrain system, incorporating a DC-DC boost converter, exhibits lower total loss values, with a difference of up to 5 kW loss difference for high-speed, low-torque regions compared to the case when not incorporating the DC-DC converter. Furthermore, applying the proposed optimal DC-link profile in the Worldwide harmonized Light vehicle Test Cycle (WLTC) leads to a reduction of up to 16% in accumulated energy losses in the SiC driveline compared to its IGBT counterpart. In addition, applying the optimal DC-link profile reduces energy losses by 58% in the SiC-based system and by 54% in the IGBT-based system, compared to operating with a fixed 300 V DC-bus voltage.

Author

Sepideh Amirpour

Chalmers, Electrical Engineering, Electric Power Engineering

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering

Sima Soltanipour

Chalmers, Electrical Engineering, Electric Power Engineering

Yu Xu

Chalmers, Mechanics and Maritime Sciences (M2), Energy Conversion and Propulsion Systems

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 13 38239-3536

Areas of Advance

Transport

Energy

Subject Categories (SSIF 2025)

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/ACCESS.2025.3546025

More information

Created

3/11/2025