Computationally efficient and stable order reduction methods for a large-scale model of MEMS piezoelectric energy harvester. Issue 5 (April 2015)

• Record Type: Journal Article
• Authors: Kudryavtsev, M.; Rudnyi, E.B.; Korvink, J.G.; Hohlfeld, D.; Bechtold, T.
• Is Part Of: Microelectronics and reliability. Volume 55:Issue 5(2015)
• Page Start: 747
• Page End: 757
• Publication Date: 2015-04
• Subjects: Model order reduction -- Krylov subspace -- Schur complement -- System-level simulation -- Energy harvesting -- Piezoelectricity; Electronic apparatus and appliances -- Reliability -- Periodicals; Miniature electronic equipment -- Periodicals; Appareils électroniques -- Fiabilité -- Périodiques; Équipement électronique miniaturisé -- Périodiques; Electronic apparatus and appliances -- Reliability; Miniature electronic equipment; Periodicals; 621.3815
• DOI: 10.1016/j.microrel.2015.02.003
• Languages: English
• ISSNs: 0026-2714

Abstract

Abstract : Graphical abstract: Highlights: We present two model order reduction approaches for a piezoelectric energy harvester. The methods allow producing stable compact models with low computational cost. Excellent match between the full-scale and the reduced models is demonstrated. Co-simulation of the reduced model with the power management circuitry is performed. Abstract: In this work, we present novel model order reduction approaches for a large-scale multiport model of a MEMS-based piezoelectric energy harvester. These techniques are computationally efficient and generate stable reduced order models. The first method proposed combines model reduction based on Krylov subspaces and a Schur complement transformation of the resulting system. The second method includes structure preserving Krylov subspaces based model order reduction. We demonstrate an excellent match between the full-scale and the reduced order models of the harvester device during harmonic simulation and the co-simulation of the reduced harvester model together with the power management circuitry.