Yi ZHOU is a SIMULIA Industry Process Consultant at Dassault Systèmes, focusing on the multiphysics simulation of electrical machines. His expertise encompasses the analysis of electromagnetic noise, vibration, and harshness (NVH), as well as advanced simulation techniques for non-parametric optimization. He joined Dassault Systèmes in 2020 and holds a Master's degree in Electrical Engineering from the Technical University of Darmstadt.
The Pop in Your Job: What I love most about my job is the dynamic balance between cutting-edge research and real-world engineering challenges. Collaborating with our R&D teams allows me to explore the latest advancements in electric machine simulation, while engaging with clients provides the opportunity to address specific technical issues they face. This dual interaction not only deepens my understanding through academic research and literature review but also enhances my practical skills by applying knowledge to diverse products and honing my software and programming abilities. The continuous learning and the tangible impact of my work make this job exceptionally rewarding
Solution Study
Monday, September 29
09:40 am - 10:05 am
Live in Berlin
Less Details
The rise of electric drive systems in modern vehicles and industries has brought new challenges in minimizing noise, vibration, and harshness (NVH) while maintaining high electromagnetic performance. Electric machines induce new electromagnetic excitations of the drivetrain, resulting in additional vibration and noise called e-NVH (electromagnetic noise, vibration, and harshness) for their specific frequency signature and mitigation techniques. This presentation explores the critical tradeoffs between electromagnetic and e-NVH performances in electric machines design, illustrating the role of SIMULIA Manatee in optimizing this balance. First, it highlights the most magnetic noise control techniques (such as skewing, notching, pole shaping or harmonic current injection) and their relationship with electromagnetic design parameters such as efficiency or torque. Then, it demonstrates the use of Manatee software to quickly study these trade-offs and identify the best designs in concept and preliminary design phases of electric drivetrains.
This session will highlight: