Automotive AEC Q101 Qualified 65V eGaN FET EPC2219 Enables Higher Resolution for Lidar Systems

2021-03-13 EPC
eGaN FET,EPC2219,eGaN FET,EPC2219

March 2021 — EPC announces successful AEC Q101 qualification of the 65V EPC2219 designed for lidar systems in the automotive industry and other harsh environments. 



eGaN technology has been in mass production for more than a decade, accumulating billions of hours of successful field experience in automotive applications, such as lidar (Light Detection and Ranging) and radar for autonomous vehicles, 48V – 12V DC-DC converters for mild hybrid power, ultra-high fidelity infotainment systems, and high-intensity headlamps for trucks. 


This EPC2219 has completed rigorous automotive AEC Q101 qualification testing including humidity testing with bias (H3TRB), high temperature reverse bias (HTRB), high temperature gate bias (HTGB), temperature cycling (TC), as well as several other tests. This GaN device will be followed with several more discrete transistors and integrated circuits designed for the harsh automotive environment. 


In addition to lidar in demanding automotive applications, the EPC2219, a 65V, 3.3Ω, eGaN FET with integrated reverse gate clamp diode and tiny 0.81mm² footprint is perfectly suited for driving GaN FETs in radar and ultrasonic sensors, satellite reaction wheels, high frequency DC-DC conversion, wireless power, and class-D audio.


To complete AEC Q101 testing, EPC's eGaN FETs undergo rigorous environmental and bias-stress testing. Of note is that EPC's wafer level chip-scale (WLCS) packaging pass all the same testing standards created for conventional packaged parts, demonstrating that the superior performance of chip-scale packaging does not compromise ruggedness or reliability. eGaN devices passing AEC Q101 testing are produced in facilities certified to the Automotive Quality Management System Standard IATF 16949.


EPC's CEO and co-founder Alex Lidow notes, “This new automotive product is the latest addition to a growing family of EPC transistors and integrated circuits designed to enable autonomous driving and improve fuel economy and safety.”

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