本数据是在温度为110摄氏度下的器件在电应力水平为15V、20V、25V,Id=0.5A下的导通电阻变化情况。测试频次选择方式如下:先对待测样品施加规定的电应力,然后设定温控箱0.8℃/min的温度变化速度,开启温箱加热系统和数据采集系统,从常温到设定值之间,每30s采集一次Rds值,待环境温度大到指定温度后,每间隔10分钟采集一次Rds值。试验系统主要由安捷伦直流电源、配电箱、恒温恒湿箱、数据采集卡、示波器和上位机控制软件等组成,安捷伦直流电源及配电箱负责施加电应力;恒温恒湿箱负责施加热应力;参数测试模块用于测试MOSFET的敏感参数,数据采集卡和示波器负责采集测试数据,上位机软件负责对整个系统进行控制,实现所需功能。其目的在于探究温度和热应力的改变对功率MOSFET器件的变化,由此带来导通电阻的改变影响,因此对功率MOSFET器件开展了基于电热应力的综合应力加速试验可以研究器件的导通电阻随温度影响的变化规律同时利用获得的试验数据来进行参数退化建模及寿命预测技术研究。
This data shows the variation of conduction resistance of devices under electrical stress levels of 15V, 20V, 25V, and Id=0.5A at a temperature of 110 degrees Celsius. The selection method for testing frequency is as follows: first, apply the specified electrical stress to the sample to be tested, then set the temperature change rate of 0.8 ℃/min in the temperature control box, turn on the heating system and data collection system of the temperature box, and collect Rds values every 30 seconds from room temperature to the set value. After the ambient temperature reaches the specified temperature, collect Rds values every 10 minutes. The test system mainly consists of Agilent DC power supply, distribution box, constant temperature and humidity box, data acquisition card, oscilloscope, and upper computer control software. Agilent DC power supply and distribution box are responsible for applying electrical stress; The constant temperature and humidity box is responsible for applying heating stress; The parameter testing module is used to test the sensitive parameters of MOSFETs. The data acquisition card and oscilloscope are responsible for collecting test data, and the upper computer software is responsible for controlling the entire system to achieve the required functions. Its purpose is to explore the change of temperature and thermal stress on Power MOSFET devices, which will bring about the change of conduction resistance. Therefore, the comprehensive stress acceleration test based on thermal stress on Power MOSFET devices can study the change rule of the conduction resistance of devices with the influence of temperature. At the same time, the obtained test data can be used to conduct parameter degradation modeling and life prediction technology research.