Highly efficient development of powertrain systems using 1D Real-Time Engine Model
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20239001
- Paper/Info type
- Other International Conferences
- Pages
- 1-14(Total 14 p)
- Date of publication
- Aug 2023
- Publisher
- JSAE & SAE
- Language
- English
- Event
- 2023 P, E&L
Detailed Information
| Category(E) | IC4 Modeling, MBD, Engine Systems and Control |
|---|---|
| Author(E) | 1) Kenichiro Ogata, 2) Hiromitsu Matsuda, 3) Haruna Kawai, 4) Keiji Shiota |
| Affiliation(E) | 1) Honda Motor Co., Ltd., 2) Honda Motor Co., Ltd., 3) Honda Motor Co., Ltd., 4) Honda Motor Co., Ltd. |
| Abstract(E) | With the promotion of electrification of powertrains, development using the simulation model is being promoted to achieve highly efficient development of the powertrains. Since the hybrid powertrain includes many subsystems, the complexity of the development process bloats the development scale. In order to proceed with large-scale development efficiently, it is necessary to utilize simulation. Furthermore, to maximize efficiency, improvement in development speed is required. In this study, authors focus on improving development speed, and have developed a real-time technology for 1D engine model and co-developed engine / transmission using the real-time engine model. The 1D engine model chooses a high granularity model structure to achieve high prediction accuracy, which slows down the computational speed. Applying the high granularity model to the relevant subsystems will generally increase the computational cost over the wide area. In addition, it is difficult to realize real-time computational speed while maintaining high prediction accuracy, and extension of application to HILS cannot be realized. Therefore, we applied the Quasi-Propagatory Model as a means of realizing real-time while maintaining the prediction accuracy. As a result, we achieved both the prediction accuracy and real-time computational speed, reduced the calculation cost when applied to relevant subsystems, and improved the development efficiency of HILS verification. |
