Physics-Based Circuit Modeling Methodology for System Power Integrity Analysis and Design
| Autor: | Wiren D. Becker, James L. Drewniak, Bruce Archambeault, Siqi Bai, Albert E. Ruehli, Samuel Connor, Matteo Cocchini, Jonghyun Cho, Biyao Zhao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Partial element equivalent circuit
020206 networking & telecommunications Power integrity Electrical element 02 engineering and technology Integrated circuit Input impedance Condensed Matter Physics Atomic and Molecular Physics and Optics law.invention Inductance law 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering Electrical impedance Electronic circuit |
| Zdroj: | IEEE Transactions on Electromagnetic Compatibility. 62:1266-1277 |
| ISSN: | 1558-187X 0018-9375 |
| DOI: | 10.1109/temc.2019.2927742 |
| Popis: | A physics-based circuit modeling methodology for system-level power integrity (PI) analysis and design is presented herein. The modeling methodology is based on representing the current paths in the power distribution network (PDN) with appropriate circuits based on cavity model and plane-pair partial element equivalent circuit (PEEC). The PDN input impedance looking from on-chip sources can be computed. A commercial simulation tool is used to corroborate the modeling approach where the system consists of a commercial integrated circuits, a complex organic package and a very high-layer-count printed circuit board. Two types of circuit models are proposed from the methodology with physical correspondence maintained in the circuit elements. The circuits can be used to analyze the geometry impact on the PDN impedance and explore design improvements. Voltage ripple simulations are conducted with the circuit models. The simulated results correlated with measurements. The modeling methodology helps to understand the impact of the fundamental physics of the different parts of the PDN system and the impact of changes in the PI designs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|