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 EPE 2025 - DS2f: Digital Twins and Real-Time Simulation 
 You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 04: Digitalization: the Powerful Fusion of AI and IoT for Sustainability > EPE 2025 - DS2f: Digital Twins and Real-Time Simulation 
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   Enhanced Optimization of Power Modules Considering Static and Dynamic Losses Using Fully Coupled RLCG Matrices for Superior Thermal and Electrical Performance 
 By Wilfried WESSEL, Gergo JUHÁSZ, Florian BAUER, Andreas SCHWARZBACHER, Christian JAKOB 
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Abstract: This paper presents an advanced, fully automatic placement optimisation method to find an optimised physical design that showed improved thermal performance. The primary optimisation objective is to reduce temperature differences in parallel SiC MOSFET devices. This is done using fully coupled resistance, inductance, conductance, and capacitance matrices to simulate accurate time domain waveforms in an automated, novel optimisation approach. The proposed method replaces modelling power modules using simple parasitic models and enables the integration of switching losses into optimisation. The paper demonstrates that temperature differences can be significantly reduced from 7.72 K to 2.52 K between parallel SiC MOSFETs. The study emphasises that simple parasitic models, commonly found in datasheets, are no longer adequate for describing power module behaviour, and more enhanced models are necessary.