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Real-Time Thermal Characterization of Power Semiconductors using a PSO-based Digital Twin Approach
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| Author(s) |
Johannes KUPRAT |
| Abstract |
Thermal impedance is essential for assessing the state-of-health of power semiconductors and to use thermal observers. This work proposes a Particle-Swarm-Optimization-based Digital Twin approach to extract the thermal impedance for online monitoring. A proof of concept of the approach is achieved in a real-time simulation with a digital reference model by showing the convergence to the given parameter set. Further, the convergence of the algorithm to a fixed parameter set is validated in the laboratory. |
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| Filename: | 0436-epe2022-full-15043526.pdf |
| Filesize: | 2.248 MB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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