• Media type: E-Article
  • Title: Efficient design optimization of a miniaturized thermoelectric generator for electrically active implants based on parametric model order reduction
  • Contributor: Rao, Yongchen [Author]; Yuan, Chengdong [Author]; Sadashivaiah, Gunasheela [Author]; Hohlfeld, Dennis [Author]; Bechtold, Tamara [Author]
  • Published: 2021
  • Published in: International journal for numerical methods in biomedical engineering ; 2021
  • Language: English
  • DOI: 10.1002/cnm.3517
  • Identifier:
  • Origination:
  • Footnote: Literaturverzeichnis: Seite 17-18
  • Description: This research focuses on the design of a miniaturized thermoelectric generator (TEG) for electrically active implants. Its design optimization is performed using the finite element method. A simplified TEG model is obtained by replacing the thermocouple array with a single representative thermopile, which considers the number and fill factor of the thermocouples as parameters. Instead of rebuilding the geometry of a detailed model with multiple thermocouples, the simplified model adapts the material properties of its representative thermopile, facilitating design optimization. We extend the model by integrating the simplified TEG together with a housing inside a human tissue model for thermoelectric analysis. For computation efficiency and applicability of model order reduction (MOR), a thermal model is derived from the thermoelectric one, with the Peltier effect being considered through an effective thermal conductivity. Through parametric MOR, two parametric reduced-order models are generated from the full-scale thermoelectric and thermal model, respectively. Furthermore, we demonstrate the design optimization of TEG both in full-scale and reduced-order model for maximal power output and sufficient voltage output.
  • Access State: Open Access