René Honcak is currently Head of Digital Twin in the Electrified Powertrain Technology division at the ZF Group. In this role, which he has held since January 2024, he leads the development and implementation of digital twins for e-mobility. Previously, he was Manager for Digital Twin for E-Drives at ZF Friedrichshafen AG from September 2022 to December 2023. René Honcak began his professional career as a research assistant at the University of the Federal Armed Forces in Munich, where he worked from September 2011 to May 2015. He then moved to ASAP Engineering GmbH, where he initially worked as a development engineer and later as a technical project manager and technical project manager. René Honcak holds a Bachelor's degree in Scientific Computing and a Master's degree in Stochastic Engineering. His expertise includes technical project management, modelling and simulation, data analysis and machine learning, agile development, and DevOps as well as system and simulation architecture. Through his extensive experience in the automotive and manufacturing industry, René Honcak has been instrumental in optimising development processes and integrating new technologies to improve efficiency and sustainability. His leadership skills and ability to coordinate teams make him a valuable expert in his field.
Case Study
Thursday, March 26
02:10 pm - 02:35 pm
Live in Munich
Less Details
The transformation of the automotive industry toward electrification demands not only new technologies but also smarter, faster, and more efficient development processes. As ePowertrain systems become increasingly complex, virtual validation methods are gaining importance for reducing time, cost, and testing effort. While physical endurance tests have long been the standard for assessing durability and thermal aging, they are time-consuming and limited by hardware and software constraints. In this presentation, a concrete case demonstrates how simulation-based aging verification enables the virtual realization of ePowertrain development. The process covers requirement definition, architecture design, durability modeling, and failure mechanism analysis — all validated and verified through advanced simulation workflows. By digitally reproducing thermal aging and performance degradation, test times can be reduced from several months to only a few weeks, achieving up to ten times faster results with high accuracy and cost efficiency.
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