Please use this identifier to cite or link to this item: doi:10.22028/D291-41999
Title: Physics-Based Modeling of Ferroelectric Hysteresis for Ceramic Capacitors in Inductively Coupled Microstimulators
Author(s): Olsommer, Yves
Ihmig, Frank R.
Rizzello, Gianluca
Language: English
Title: IEEE Transactions on Power Electronics
Volume: 39
Issue: 6
Pages: 7696-7707
Publisher/Platform: IEEE
Year of Publication: 2024
Free key words: Ferroelectric hysteresis
frugal engineering
microstimulator
near-field wireless power transfer (WPT)
nonlinear capacitor
passive power control
physics-based model
series/parallel (S/P) compensation
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: In this article, we present a physics-based model for nonlinear and hysteretic ferroelectric capacitors in inductively coupled microstimulator circuits. The purpose of this model is to predict the system’s dynamic response as a function of the dielectric material properties, with the aim of optimizing the performance in passive power control applications.We describe the workflow starting from the extraction of the dielectric material properties of commercial ceramic capacitors to the implementation into the physicsbased model of the overall circuit. Selected capacitors were experimentally characterized at frequencies above 100 kHz by means of both small signals (5 mVrms, ±25 Vdc, and ±40 Vdc) and large signals (±25 Vac and ±40 Vac). Our results show that the developed model is well suited for accurately predicting the circuit’s stimulation current for highly nonlinear capacitors and exhibits higher precision compared to commonly used models based on differential capacitance. Preliminary in vitro measurement results are finally described to provide proof of concept of the envisioned model-based passive power control in implantable microstimulators.
DOI of the first publication: 10.1109/TPEL.2024.3361075
URL of the first publication: https://ieeexplore-qa.ieee.org/document/10418567
Link to this record: urn:nbn:de:bsz:291--ds-419991
hdl:20.500.11880/37585
http://dx.doi.org/10.22028/D291-41999
ISSN: 1941-0107
0885-8993
Date of registration: 6-May-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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