Optimization of Fuel Injection Control Based on Combustion Chamber Wall Temperature Estimation for Improved Fuel Economy and Reduced Emissions
燃費・排ガス向上に向けた燃焼室壁温推定に基づく噴射制御合理化
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266223
- Paper/Info type
- Proceedings (Autumn)
No.139-26
- Pages
- 1-5(Total 5 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 森岡 竜太郎, 2) 安達 龍, 3) 津田 雄史, 4) 志村 進, 5) 篤 幸太郎 |
|---|---|
| Author(E) | 1) Ryutaro Morioka, 2) Ryo Adachi, 3) Takeshi Tsuda, 4) Susumu Shimura, 5) Kotaro Atsushi |
| Affiliation(J) | 1) SUBARU, 2) SUBARU, 3) SUBARU, 4) SUBARU, 5) SUBARU |
| Affiliation(E) | 1) SUBARU, 2) SUBARU, 3) SUBARU, 4) SUBARU, 5) SUBARU |
| Abstract(J) | 冷却水温で制御されたEV走行後のエンジン再始動時は，筒内状態のばらつきが大きく，排ガス・燃費への影響が課題である．本研究では壁温センサ搭載車で計測を行い噴射量低減効果を確認するとともに，既存パラメータから壁温を推定するAIモデルを構築し，制御適用の可能性を示した． Translation |
| Abstract(E) | In hybrid vehicles that restart the engine frequently, the engine condition changes a lot at restart, which affects emissions and fuel economy. In this study, vehicle tests were conducted using an engine equipped with a wall temperature sensor, confirming fuel injection reduction during restarts. In addition, an AI model was developed to estimate wall temperature from existing control parameters, showing the potential of wall-temperature-based injection control. |
