Development of a Structural Optimization Tool to Achieve Various NV Requirements of Electrified Power Units
電動化パワーユニットの多岐にわたるNV要求を同時に達成する構造最適化ツールの開発
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20216273
- Paper/Info type
- Proceedings (Autumn)
No.141-21
- Pages
- 1-6(Total 6 p)
- Date of publication
- Oct 2021
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2021 JSAE Annual Congress (Autumn) [Online]
Detailed Information
| Author(J) | 1) 宮内 新, 2) 小川 祐則, 3) 角田 芳秋, 4) 板橋 正記, 5) 古本 昌司 |
|---|---|
| Author(E) | 1) Arata Miyauchi, 2) Masanori Ogawa, 3) Yoshiaki Kakuta, 4) Masaki Itabashi, 5) Masashi Furumoto |
| Affiliation(J) | 1) エステック, 2) エステック, 3) 本田技研工業, 4) 本田技研工業, 5) エステック |
| Affiliation(E) | 1) Estech, 2) Estech, 3) Honda Motor, 4) Honda Motor, 5) Estech |
| Abstract(J) | ハイブリッド車はコンベエンジンに比べて環境問題に対し有利であるが，NV事象の要求性能が多岐にわたり，電動化パワーユニット全体での最適設計は難しい．筆者らは最適設計支援ツールと機械学習を組み合わせた手法を電動駆動ユニットに適用し，エンジン振動騒音・ギヤ音・モータ音の低減要求を満たす構造最適化を実施した． Translation |
| Abstract(E) | As a countermeasure to environmental problems, electrified power units are more effective than conventional engines in automobiles. However, due to the complex NV requirements of hybrid vehicles, it is difficult to optimize the structural design through the entire power unit. The authors adapted machine learning techniques on the proven design optimization tool to perform a multi-objective optimization of the electric drive unit to simultaneously reduce whole engine vibration noise, drive-unit gear noise, and motor noise. |
