Detection of transient low-temperature combustion characteristics by ion current – The missing link for homogeneous charge compression ignition control?
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DOI: 10.1016/j.apenergy.2020.116299
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- Wick, Maximilian & Bedei, Julian & Andert, Jakob & Lehrheuer, Bastian & Pischinger, Stefan & Nuss, Eugen, 2020. "Dynamic measurement of HCCI combustion with self-learning of experimental space limitations," Applied Energy, Elsevier, vol. 262(C).
- Wick, Maximilian & Bedei, Julian & Gordon, David & Wouters, Christian & Lehrheuer, Bastian & Nuss, Eugen & Andert, Jakob & Koch, Charles Robert, 2019. "In-cycle control for stabilization of homogeneous charge compression ignition combustion using direct water injection," Applied Energy, Elsevier, vol. 240(C), pages 1061-1074.
- Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
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- Baek, Seungju & Lee, Sanguk & Shin, Myunghwan & Lee, Jongtae & Lee, Kihyung, 2022. "Analysis of combustion and exhaust characteristics according to changes in the propane content of LPG," Energy, Elsevier, vol. 239(PC).
- Wu, Jingtao & Zhang, Zhehao & Kang, Zhe & Deng, Jun & Li, Liguang & Wu, Zhijun, 2022. "An assessment methodology for fuel/water consumption co-optimization of a gasoline engine with port water injection," Applied Energy, Elsevier, vol. 310(C).
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Keywords
Homogeneous charge compression ignition; Ion current; Artificial neural network; In-cylinder pressure analysis; In-cycle control; Black-box modeling;All these keywords.
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