Challenges in Optimising System NVH Performance of Electrified Powertrains through Developing Correlated Component Models
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20225219
- Paper/Info type
- Proceedings (Spring)
No.50-22
- Pages
- 1-7(Total 7 p)
- Date of publication
- May 2022
- Publisher
- JSAE
- Language
- English
- Event
- 2022 JSAE Annual Congress (Spring)
Detailed Information
Author(E) | 1) Jordan Craven, 2) Michael Bryant, 3) Chris Norton |
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Affiliation(E) | 1) Drive System Design, 2) Drive System Design, 3) Drive System Design |
Abstract(E) | Complex interactions between electric powertrain components provide challenges in accurately predicting NVH performance through system-level models. Confidence in component-level simulation is required to ensure accurate system models, which reduce development time and cost in NVH performance optimization. This paper studies the importance of motor modelling inputs through component modal testing, including stator orthotropic material properties, the influence of windings, and damping factors. These findings are used in an assembled motor test model and correlated with housing accelerometer response test data. Discussion into whether component and motor sub-assembly behaviour is seen in an assembled EDU and vehicle installation is presented. |