首页|一种基于关断电压的IGBT模块结温监测方法

一种基于关断电压的IGBT模块结温监测方法

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实现准确的结温监测对增强绝缘栅双极晶体管(IGBT)模块的可靠性、延长器件寿命至关重要.文章提出了一种基于关断电压的IGBT模块结温监测方法,具有不受负载电流干扰的特性.该方法首先验证了关断电压作为温敏电参数的合理性;其次,采用深度神经网络(DNN),排除关断电压对负载电流的依赖,达到不同工况下保持准确结温预测的目的;最后,通过单相脉宽调制(PWM)进行试验验证.结果显示,该结温监测方法误差在±5℃的范围内,这表明利用DNN优化结温监测是可行的.
A method for monitoring junction temperature of IGBT module based on turn-off voltage
The precise junction temperature monitoring is of paramount importance for enhancing the reliability of insulated gate bipolar transistor(IGBT)modules and extending the lifespan of devices.This paper introduces a method for monitoring junction temper-ature of IGBT modules based on turn-off voltages(TOV),which highlights resistance to load currents.The study initially verified the ra-tionality of using TOVs as a temperature-sensitive electrical parameter.The deep neural network(DNN)technology was subsequently employed to eradicate the dependence of TOVs on load currents,facilitating accurate junction temperature prediction under varying oper-ational conditions.The proposed method was validated through a single-phase pulse width modulation(PWM)experiment.The findings reveal an error range of±5℃for this method,demonstrating the feasibility of optimizing junction temperature monitoring through DNN utilization.

insulated gate bipolar transistor(IGBT)junction temperature monitoringdeep neutral network(DNN)temperature-sensitive parameterturn-off voltage(TOV)

兰尉尹、崔巍、陈文轩、邹盈巧、李佳诚、葛兴来

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西南交通大学 利兹学院,四川 成都 610031

西南交通大学 电气工程学院,四川 成都 610031

西南交通大学 物理科学与技术学院,四川 成都 610031

绝缘栅双极晶体管 结温监测 深度神经网络 温敏电参数 关断电压

国家级大学生创新创业训练计划项目

202310613027

2024

机车电传动
中国南车集团株洲电力机车厂

机车电传动

CSTPCD
影响因子:0.347
ISSN:1000-128X
年,卷(期):2024.(2)
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