Dennis Hohlfeld

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In this paper we present a new possibility to determine unknown material thermal properties based on experimental measurements. We use a parametrized finite element (FE) model and fit it to a measured transient curve. Using brute force, this process requires an extensive computational time. However, it is possible to speed it up significantly by using model(More)
In this work, we present an automatized, computationally efficient and stable compact modeling technique for a large-scale multiport model of MEMS based piezoelectric energy harvester. The method includes structure preserving model order reduction based on Krylov subspaces. We further demonstrate a co-simulation between the reduced harvester model and the(More)
This paper proposes a novel modeling methodology for MEMS-based piezoelectric vibration energy harvesting systems. The approach is based on coupling of the reduced order model and the power circuitry. A numerically accurate reduced order model of the harvester was connected to a synchronized switch harvesting on inductor scheme and optimized subsequently.(More)
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