Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink

Hao Jia,Zhigang Liu,Jie Chen,Heping Fu,Ruichang Qiu

doi:10.1109/access.2022.3146713

Abstract

Currently, the offline manual periodic detection method is a well-established practice in detecting the thermal state of the converter heatsink. This method, however, is huge in maintenance costs. To lower maintenance costs and improve maintenance efficiency in detecting the thermal dissipation state, this paper proposes an intelligent online prediction scheme based on Gauss-Newton iteration method. Firstly, the power loss model of the power module is established according to the characteristics of IGBT and FWD. The power loss of the power device is then calculated in real time with the voltage and current parameters of the converter. Next, the transient thermal model of the heatsink is established based on thermodynamics theory. And the calculation method of steady thermal resistance of heatsink based on Gauss-Newton iteration method is proposed according to the model. The transient thermal impedance data allow for timely prediction of thermal resistance of the heatsink and characterize the thermal state of the heatsink. Finally, with the help of DSP28377D, an experimental platform is built to verify the scheme. Results show that this method can realize intelligent prediction of thermal state online.

Highlights

The trend of increasing power densities of modern-day power converters is pushing power devices to their thermal limits [1]
To lower maintenance costs and improve maintenance efficiency in detecting the thermal dissipation state, this paper proposes an intelligent online prediction scheme based on Gauss-Newton iteration method
The prediction method about the heat dissipation state of the heatsink is rarely researched. Most researchers direct their attention to heatsinks analysis and design. [6] designed an algorithm for calculating switching loss and junction temperature of switching elements in PSIM, to judge whether the heatsink meets the heat dissipation requirements. It provided an idea of calculating power loss when it is impossible to measure the voltage drop on switching elements. [7] built the RC parameter model of IGBT and heatsink by analyzing the thermal network, to obtain the temperature of the IGBT module, which provided a reference for thermal analysis about the cooling system. [8] proposed a thermal coupling resistances network model, established the relationships between the case-to-ambient thermal resistance of individual power devices and their thermal coupling resistance to the adjacent device

Summary

INTRODUCTION

The trend of increasing power densities of modern-day power converters is pushing power devices to their thermal limits [1]. The prediction method about the heat dissipation state of the heatsink is rarely researched Most researchers direct their attention to heatsinks analysis and design. [6] designed an algorithm for calculating switching loss and junction temperature of switching elements in PSIM, to judge whether the heatsink meets the heat dissipation requirements It provided an idea of calculating power loss when it is impossible to measure the voltage drop on switching elements. [15] proposed a strategy to evaluate the effectiveness of a test procedure for checking the correct assembling and behavior of heatsinks for power devices is proposed It only takes the specified thermal resistance change as the fault to obtain the junction temperature curve to judge the status of power devices.

SOLUTION FOR PREDICTING HEAT DISSIPATION STATE ONLINE

STEADY-STATE PARAMETER SOLUTION BASED ON GAUSS-NEWTON ITERATION METHOD

VERIFICATION

Findings

CONCLUSION