Efficient design optimization of a miniaturized thermoelectric generator for electrically active implants based on...

Area of Science:

• Biomedical Engineering
• Materials Science
• Computational Modeling

Background:

• Electrically active implants require efficient power sources.
• Miniaturized thermoelectric generators (TEGs) offer a potential solution for implantable devices.
• Design optimization of TEGs is crucial for maximizing performance.

Purpose of the Study:

• To design and optimize a miniaturized thermoelectric generator (TEG) for electrically active implants.
• To develop a simplified modeling approach for efficient TEG design.
• To integrate the TEG model with a human tissue model for thermoelectric analysis.

Main Methods:

• Finite element method (FEM) for TEG design optimization.
• Development of a simplified TEG model using a representative thermopile.
• Integration of the simplified TEG with a human tissue model.
• Derivation of a thermal model from the thermoelectric model, incorporating the Peltier effect.
• Application of parametric model order reduction (MOR) to generate reduced-order models.

Main Results:

• A simplified TEG model was developed, adapting material properties for efficient parameterization.
• The model was extended to include housing and human tissue for comprehensive analysis.
• Parametric reduced-order models (ROMs) were generated for both thermoelectric and thermal simulations.
• TEG design optimization was demonstrated using both full-scale and reduced-order models.

Conclusions:

• The simplified modeling approach significantly facilitates TEG design optimization.
• Parametric MOR provides computationally efficient tools for analyzing TEGs in biological environments.
• The optimized TEG design achieves maximal power output and sufficient voltage for implantable applications.