Bridging Physics and Machine Learning NVH Optimization in the Early Stages of Electric Motor Design (1)

The electric motor is a key source of noise in an electric powertrain. Effective Noise, Vibration, and Harshness (NVH) management requires advanced and integrated simulation techniques to identify and mitigate noise and vibration early in the design process. This ensures that electric motors not only deliver optimal performance but also enhance the driving experience with smooth and quiet operation.

In this webinar, we explore how the integration of physics-based simulations and machine learning can optimize NVH at the early stages of electric motor design. Our discussion would be covering the following:

  • A Complete Integrated Multiphysics Simulation: Electromagnetic analysis of e-motors with consideration of spatial harmonics, inverter design including switching frequency, and vibroacoustic analysis at microphone location.
  • Use of Machine Learning: Utilizing GT-SUITE`s in-built Machine Learning Assistant for performing Pre-CAE approach for NVH consideration in early motor design.
  • Industrial Use-Case: Highlighting a real-world case study which showcases significant reduction of design cycle time for e-NVH analysis using GT-SUITE.

📅 Join Vinit Kumar and Nakul Joshi on April 16, 2025, at 15:00 IST to gain insights into cutting-edge methodologies that bridge physics and machine learning, advancing electric motor design.

 

 

About our speakers

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Vinit Kumar | Gamma Technologies 
Solutions Consultant

Vinit recently moved to Solutions Consulting role where he is involved in developing CAE solutions and establish efficient CAE processes . Before that, in GT, he was working in powertrain mechanics team and handled crankshaft, valvetrain, timing/accessory drive, gears & e-NVH related analysis. Before joining GT, he worked for General Motors-Bangalore for 11+ years on structural, MBD & NVH topics. At GM, he gained experience using various CAE tools for preforming structural dynamics, MBD, modeling accessory belt and timing drive systems. He also gained experience in developing BEV powertrain models for system level simulations. Vinit completed his Masters in Mechanical Engineering from IIT Kharagpur.

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Nakul Joshi | Gamma Technologies
Senior Applications Engineer

Nakul is working at Gamma Technologies for the last 1 year as a Senior Application Engineer in the Electrical Team. He mainly focuses on topics related to electric motors and drives. He has completed his masters from RWTH Aachen. Prior to joining GT, he worked as a Project Engineer in FEV Europe. Nakul's main area of focus was design, development, and optimization of electric motors for traction applications.