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Online Junction Temperature Estimation for SiC MOSFETs Using Drain Voltage Falling Edge Time

Ying Wang, Xi Jiang, Xinlong Shi, Qifan Liu, Shijie Zhang, Runze Ouyang, Daoyong Jia, Nianlong Ma, Xiaowu Gong

2023IEEE Transactions on Electron Devices13 citationsDOI

Abstract

The junction temperature is vital for the reliability evaluation and health management in silicon carbide (SiC) MOSFET applications. This article proposes a novel method to estimate the junction temperature under actual operating conditions, using the drain voltage falling edge time ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${t_{f,\text {edge}}}$ </tex-math></inline-formula> ) as temperature-sensitive electrical parameters (TSEPs). Experimental results show that the proposed circuit can estimate the junction temperature with good linearity, high-temperature sensitivity, and load current independence. Furthermore, the proposed method is verified with the aged SiC MOSFET after the power cycling test. It shows a tiny impact of the bond wire degradation on the junction temperature estimation accuracy.

Topics & Concepts

Junction temperatureSilicon carbideMOSFETEnhanced Data Rates for GSM EvolutionReliability (semiconductor)Materials scienceElectrical engineeringLinearityVoltageFalling (accident)Temperature measurementOptoelectronicsGermaniumSiliconPower (physics)Electronic engineeringTopology (electrical circuits)Computer scienceEngineeringTransistorPhysicsComposite materialTelecommunicationsEnvironmental healthMedicineQuantum mechanicsSilicon Carbide Semiconductor TechnologiesAdvancements in Semiconductor Devices and Circuit DesignSemiconductor materials and devices
Online Junction Temperature Estimation for SiC MOSFETs Using Drain Voltage Falling Edge Time | Litcius