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Development of Method to Measure the State of Fuel Supply During Cold Start and Application of the Data to Modeling of Emission Using Machine Learning
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- Yamada Tomohisa
- (株)豊田中央研究所
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- Inagaki Hideto
- (株)豊田中央研究所
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- Takatori Yoshiki
- (株)豊田中央研究所
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- Hakuta Yusuke
- (株)豊田中央研究所
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- Haibara Teruaki
- トヨタ自動車(株)
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- Umemoto Kazuhiro
- トヨタ自動車(株)
Bibliographic Information
- Other Title
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- 冷間始動時における燃料供給状態の計測法の開発と機械学習による排気モデリングへの適用
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Description
To investigate the behavior of injected fuel during cold start of gasoline engines, a non-combustive method using exhaust gas without combustion was constructed. The THC concentration of exhaust gas is relevant to the quantity of fuel introduced into the cylinder at the current and next cycle. The sensitivities of the concentration to the amount of injected fuel, fuel property and intake port temperature were proved by the experimental data. The proved data were used to model THC behavior applying machine learning. The model was demonstrated high accuracy and applied to derive the injection strategy to achieve low THC emission.
Journal
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- Transactions of Society of Automotive Engineers of Japan
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Transactions of Society of Automotive Engineers of Japan 52 (3), 653-658, 2021
Society of Automotive Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390287783176246144
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- NII Article ID
- 130008028944
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- ISSN
- 18830811
- 02878321
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed