Showing posts with label Aging-aware design. Show all posts
Showing posts with label Aging-aware design. Show all posts

Oct 3, 2019

[paper] Prediction of DC-AC Converter Efficiency Degradation

Kenshiro Sato, Dondee Navarro, Shinya Sekizaki, Yoshifumi Zoka, Naoto Yorino,
Hans Jürgen Mattausch, Mitiko Miura-Mattausch, 
Prediction of DC-AC Converter Efficiency Degradation due to Device Aging
Using a Compact MOSFET-Aging Model
IEICE Transactions on Electronics
論文ID 2019ECP5010, [早期公開] 公開日 2019/09/02

Online ISSN 1745-1353, Print ISSN 0916-8524, https://doi.org/10.1587/transele.2019ECP5010,
https://www.jstage.jst.go.jp/article/transele/advpub/0/advpub_2019ECP5010/_article/-char/ja,

Abstract: The degradation of a SiC-MOSFET-based DC-AC converter-circuit efficiency due to aging of the electrically active devices is investigated. The newly developed compact aging model HiSIM_HSiC for high-voltage SiC-MOSFETs is used in the investigation. The model considers explicitly the carrier-trap-density increase in the solution of the Poisson equation. Measured converter characteristics during a 3-phase line-to-ground (3LG) fault is correctly reproduced by the model. It is verified that the MOSFETs experience additional stress due to the high biases occurring during the fault event, which translates to severe MOSFET aging. Simulation results predict a 0.5% reduction of converter efficiency due to a single 70ms-3LG, which is equivalent to a year of operation under normal conditions, where no additional stress is applied. With the developed compact model, prediction of the efficiency degradation of the converter circuit under prolonged stress, for which measurements are difficult to obtain and typically not available, is also feasible.

Nov 15, 2016

[paper] Analysis of aging effects - From transistor to system level

Analysis of aging effects - From transistor to system level
Maike Taddiken*, Nico Hellwege, Nils Heidmann, Dagmar Peters-Drolshagen, Steffen Paul
Institute of Electrodynamics and Microelectronics,
University of Bremen, Otto-Hahn-Allee 1, Bremen 28359,Germany

ABSTRACT: Due to shrinking feature sizes in integrated circuits, additional reliability effects have to be considered which influence the functionality of the system. These effects can either result from the manufacturing process or external influences during the lifetime such as radiation and temperature. Additionally, modern technology nodes are affected by time-dependent degradation i.e. aging. Due to the age-dependent degradation of a circuit, processes on the atomic scale of the semiconductor material lead to charges in the oxide silicon interface of CMOS devices, altering the performance parameters of the device and subsequently the behavior of the circuit. With the continuous downscaling of modern semiconductor technologies, the impact of these atomic scale processes affecting the overall system characteristics becomes more and more critical. Therefore, aging effects need to be assessed during the design phase and actions have to be taken guaranteeing the correct system functionality throughout a system’s lifetime. This work presents methods to investigate the influence of age-dependent degradation as well as process variability on different levels. An operating-point dependent sizing methodology based on the gm/ID method extended to incorporate aging, which aims at developing aging-resistent circuits is presented. The basic idea of the gm/ID sizing method is the dependence of the operating point of a MOS transistor on the state of inversion in the channel, its strong relation to circuit performance and the possibility to calculate transistor dimensions.The inversion coefficient IC is a fundamental metric within the gm/ID method and numerically represents the inversion level of a MOS device formally described in the EKV MOS model. Additionally, the sensitivity of circuit performances in regard to aging can be determined. In order to investigate the reliability of a complex system on behavioral level, a modeling method to represent the performance of system components in dependence of aging and process variability is introduced. [read more...]