Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Logan G. Wright & Tatsuhiro Onodera & Martin M. Stein & Tianyu Wang & Darren T. Schachter & Zoey Hu & Peter L. McMahon, 2022. "Deep physical neural networks trained with backpropagation," Nature, Nature, vol. 601(7894), pages 549-555, January.
- Federico Ricci & Massimiliano Avana & Francesco Mariani, 2024. "Enhancing Lambda Measurement in Hydrogen-Fueled SI Engines through Virtual Sensor Implementation," Energies, MDPI, vol. 17(16), pages 1-17, August.
- Stefania Falfari & Giulio Cazzoli & Valerio Mariani & Gian Marco Bianchi, 2023. "Hydrogen Application as a Fuel in Internal Combustion Engines," Energies, MDPI, vol. 16(6), pages 1-13, March.
- Berggren, Christian & Magnusson, Thomas, 2012. "Reducing automotive emissions—The potentials of combustion engine technologies and the power of policy," Energy Policy, Elsevier, vol. 41(C), pages 636-643.
- Lijia Fang & Hardeep Singh & Takuma Ohashi & Masato Sanno & Guansen Lin & Emir Yilmaz & Mitsuhisa Ichiyanagi & Takashi Suzuki, 2024. "Effect of Machine Learning Algorithms on Prediction of In-Cylinder Combustion Pressure of Ammonia–Oxygen in a Constant-Volume Combustion Chamber," Energies, MDPI, vol. 17(3), pages 1-11, February.
- Arianna Baldinelli & Marco Francesconi & Marco Antonelli, 2024. "Hydrogen, E-Fuels, Biofuels: What Is the Most Viable Alternative to Diesel for Heavy-Duty Internal Combustion Engine Vehicles?," Energies, MDPI, vol. 17(18), pages 1-16, September.
- Federico Ricci & Jacopo Zembi & Massimiliano Avana & Carlo Nazareno Grimaldi & Michele Battistoni & Stefano Papi, 2024. "Analysis of Hydrogen Combustion in a Spark Ignition Research Engine with a Barrier Discharge Igniter," Energies, MDPI, vol. 17(7), pages 1-14, April.
- Federico Ricci & Francesco Mariani, 2024. "Advanced Flame front Detection in Combustion Processes Using Autoencoder Approach," Energies, MDPI, vol. 17(7), pages 1-20, April.
- Federico Ricci & Francesco Mariani & Stefano Papi & Jacopo Zembi & Michele Battistoni & Carlo Nazareno Grimaldi, 2024. "The Synergy between Methanol M100 and Plasma-Assisted Ignition System PAI to Achieve Increasingly Leaner Mixtures in a Single-Cylinder Engine," Energies, MDPI, vol. 17(7), pages 1-14, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fan Cai & Yuesong Jiang & Wanqing Song & Kai-Hung Lu & Tongbo Zhu, 2024. "Short-Term Wind Turbine Blade Icing Wind Power Prediction Based on PCA-fLsm," Energies, MDPI, vol. 17(6), pages 1-15, March.
- Yu, Hanzhengnan & Liang, Xingyu & Shu, Gequn & Wang, Yuesen & Sun, Xiuxiu & Zhang, Hongsheng, 2018. "Numerical investigation of the effect of two-stage injection strategy on combustion and emission characteristics of a diesel engine," Applied Energy, Elsevier, vol. 227(C), pages 634-642.
- Brand, Christian, 2016. "Beyond ‘Dieselgate’: Implications of unaccounted and future air pollutant emissions and energy use for cars in the United Kingdom," Energy Policy, Elsevier, vol. 97(C), pages 1-12.
- Sprei, Frances & Karlsson, Sten, 2013. "Energy efficiency versus gains in consumer amenities—An example from new cars sold in Sweden," Energy Policy, Elsevier, vol. 53(C), pages 490-499.
- Kilian D. Stenning & Jack C. Gartside & Luca Manneschi & Christopher T. S. Cheung & Tony Chen & Alex Vanstone & Jake Love & Holly Holder & Francesco Caravelli & Hidekazu Kurebayashi & Karin Everschor-, 2024. "Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Abbas, Khizar & Han, Mengyao & Xu, Deyi & Butt, Khalid Manzoor & Baz, Khan & Cheng, Jinhua & Zhu, Yongguang & Hussain, Sanwal, 2024. "Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development," Applied Energy, Elsevier, vol. 364(C).
- Seou Choi & Yannick Salamin & Charles Roques-Carmes & Rumen Dangovski & Di Luo & Zhuo Chen & Michael Horodynski & Jamison Sloan & Shiekh Zia Uddin & Marin Soljačić, 2024. "Photonic probabilistic machine learning using quantum vacuum noise," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- Barbieri, Nicolò, 2015.
"Investigating the impacts of technological position and European environmental regulation on green automotive patent activity,"
Ecological Economics, Elsevier, vol. 117(C), pages 140-152.
- Nicolò Barbieri, 2014. "Investigating the impacts of technological position and European environmental regulation on green automotive patent activity," SEEDS Working Papers 3114, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2014.
- Carlos Armenta-Déu, 2024. "Improving Sustainability in Urban and Road Transportation: Dual Battery Block and Fuel Cell Hybrid Power System for Electric Vehicles," Sustainability, MDPI, vol. 16(5), pages 1-21, March.
- Alçelik, Necdet & Sarıdemir, Suat & Polat, Fikret & Ağbulut, Ümit, 2024. "Role of hydrogen-enrichment for in-direct diesel engine behaviours fuelled with the diesel-waste biodiesel blends," Energy, Elsevier, vol. 302(C).
- Simona Silvia Merola & Adrian Irimescu & Silvana Di Iorio & Bianca Maria Vaglieco, 2017. "Effect of Fuel Injection Strategy on the Carbonaceous Structure Formation and Nanoparticle Emission in a DISI Engine Fuelled with Butanol," Energies, MDPI, vol. 10(7), pages 1-19, June.
- Gao Wang & Giulia Marcucci & Benjamin Peters & Maria Chiara Braidotti & Lars Muckli & Daniele Faccio, 2024. "Human-centred physical neuromorphics with visual brain-computer interfaces," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- Merola, Simona Silvia & Valentino, Gerardo & Tornatore, Cinzia & Marchitto, Luca, 2013. "In-cylinder spectroscopic measurements of knocking combustion in a SI engine fuelled with butanol–gasoline blend," Energy, Elsevier, vol. 62(C), pages 150-161.
- Rosal, Ignacio del, 2022. "European dieselization: Policy insights from EU car trade," Transport Policy, Elsevier, vol. 115(C), pages 181-194.
- Lei Tong & Yali Bi & Yilun Wang & Kai Peng & Xinyu Huang & Wei Ju & Zhuiri Peng & Zheng Li & Langlang Xu & Runfeng Lin & Xiangxiang Yu & Wenhao Shi & Hui Yu & Huajun Sun & Kanhao Xue & Qiang He & Ming, 2024. "Programmable nonlinear optical neuromorphic computing with bare 2D material MoS2," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Krzysztof Jastrzębski & Marian Cłapa & Łukasz Kaczmarek & Witold Kaczorowski & Anna Sobczyk-Guzenda & Hieronim Szymanowski & Piotr Zawadzki & Piotr Kula, 2024. "Spatial Graphene Structures with Potential for Hydrogen Storage," Energies, MDPI, vol. 17(10), pages 1-18, May.
- Grzegorz Szamrej & Mirosław Karczewski, 2024. "Exploring Hydrogen-Enriched Fuels and the Promise of HCNG in Industrial Dual-Fuel Engines," Energies, MDPI, vol. 17(7), pages 1-51, March.
- Ming Wen & Yufeng Li & Weiqing Zhu & Rulou Cao & Kai Sun, 2022. "Experimental Study on Effects of RCSL and RCTL Combustion Chamber for Combustion Process of Highly Intensified Diesel Engine," Energies, MDPI, vol. 15(17), pages 1-13, August.
- Hengfei Yang & Shiyuan Yang & Debiao Meng & Chenghao Hu & Chaosheng Wu & Bo Yang & Peng Nie & Yuan Si & Xiaoyan Su, 2024. "Optimization of Analog Circuit Parameters Using Bidirectional Long Short-Term Memory Coupled with an Enhanced Whale Optimization Algorithm," Mathematics, MDPI, vol. 13(1), pages 1-24, December.
- Jamshaid Ul Rahman & Sana Danish & Dianchen Lu, 2023. "Deep Neural Network-Based Simulation of Sel’kov Model in Glycolysis: A Comprehensive Analysis," Mathematics, MDPI, vol. 11(14), pages 1-9, July.
More about this item
Keywords
hydrogen fuel; internal combustion engine; SI engine; ultra-lean conditions; GT-POWER; 1D software; optical access engine; high speed camera; combustion images; artificial intelligence; artificial neural networks; machine learning;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:299-:d:1564967. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.