Abstract

Semiconductor power modules are the key hardware components of a traction inverter. It drives motor speed and torque, managing the energy exchange from battery to motor and viceversa. The increasing demand for electric and hybrid vehicle requests high performance power modules. Power semiconductor devices based on wide band gap compound, like silicon carbide (SiC), have excellent electrical properties in terms of on-state resistance, stray inductance and performance at high commutation frequency. One of the most promising solution is silicon carbide MOSFET power module in which each switch is made by several different dies placed in parallel. Embedded direct cooling system and novel materials with high conductivity (e.g., active metal brazed substrates) can be considered to enhance thermal performance. A robust method is needed to characterize and to predict power module temperature behavior considering the importance of the thermal performance to improve reliability and to optimize module weight and dimensions. According to several parallel dies inside each switch, classic method based on temperature electric sensitive parameter (TSEP) shall be validated with direct measurement. In this framework, it has been reported the thermal characterization of a power module for a traction inverter based on eight silicon carbide MOSFETs for each switch. Both TSEP and infrared measurements have been employed. Thermal behavior has been numerically reproduced, creating a simplified equivalent network and developing a predictive model by finite element method (FEM).

Highlights

  • The electric and hybrid vehicles demand is nowadays increasing with the mid-term forecast trend to become the dominant portion of the automotive market

  • The optimization strategy deals with a multi-physic approach that covers the power module dimensional optimization, which facilitates the mechanical integration inside the powertrain and the lightening of the whole system, the thermal optimization by high heat exchange cooling systems and the parasitic optimization for the switching loss reduction

  • The quite good correlation between the average temperature detected by infrared camera and the indirect temperature estimated by temperature electric sensitive parameter (TSEP) has been aligned with other literature results for single silicon carbide (SiC) power MOSFET device [18] and IGBT power modules, considering the behavior of two paralleled dies [19]

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Summary

INTRODUCTION

The electric and hybrid vehicles demand is nowadays increasing with the mid-term forecast trend to become the dominant portion of the automotive market. The optimization strategy deals with a multi-physic approach that covers the power module dimensional optimization, which facilitates the mechanical integration inside the powertrain and the lightening of the whole system, the thermal optimization by high heat exchange cooling systems and the parasitic optimization for the switching loss reduction All these aspects are addressed to reach an overall efficiency enhancement that is fundamental to enlarge the vehicle driving range. In the specific case of power module with several parallel SiC MOSFET devices, using the electrical measurements of body diode voltage drop, it is not possible to point out the eventual thermal unbalancing among dies due to their spread in the drain-source on-resistance (RDSon) values. The overall thermal behavior has been described by an equivalent simplified RC-network and correlated by finite element method

TEST VEHICLES
LUMPED EQUIVALENT NETWORK
FINITE ELEMENT ANALYSIS
CONCLUSION
Full Text
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