Metallic Electro Chemical Migration (ECM) is a phenomenon has long been recognized as a significant failure pathway of electronic devices. In this work, silver ECM was investigated and analyzed in commercial silicon power diodes. Dedicated test procedures have been performed in order to study the Ag ECM triggering and evolution. 2D TCAD simulations were used to analyze the ECM phenomena at the diode edge termination, identifying design solutions able to mitigate such effect. Finally, the proposed device has been experimentally validated and results highlight a significant reduction of devices failure.

Diode parameters design simulation and experimental validation against silver migration phenomena in high voltage switching application

Gentile, Mattia Gianfranco;Vittone, Ettore
2017-01-01

Abstract

Metallic Electro Chemical Migration (ECM) is a phenomenon has long been recognized as a significant failure pathway of electronic devices. In this work, silver ECM was investigated and analyzed in commercial silicon power diodes. Dedicated test procedures have been performed in order to study the Ag ECM triggering and evolution. 2D TCAD simulations were used to analyze the ECM phenomena at the diode edge termination, identifying design solutions able to mitigate such effect. Finally, the proposed device has been experimentally validated and results highlight a significant reduction of devices failure.
2017
2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
Nuremberg; Germany; 16 May 2017 through 18 May 2017
2017
PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Institute of Electrical and Electronics Engineers Inc.
1
6
9783800744244
https://ieeexplore.ieee.org/document/7990768
Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Electrical and Electronic Engineering; Control and Optimization; Artificial Intelligence
Gentile, Mattia Gianfranco; Merlin, Luigi; Mirone, Paolo; Vittone, Ettore
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1680425
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