Research Article
Open access
Published on 25 September 2023
Download pdf
Fu,Y.;Hu,E.;Xia,Z. (2023). HCCI technology using hydrogen energy and artificial intelligence. Applied and Computational Engineering,11,167-173.
Export citation

HCCI technology using hydrogen energy and artificial intelligence

Yinlong Fu 1, Erhan Hu 2, Zongxian Xia *,3,
  • 1 Kunming No.8 High School, Kunming
  • 2 Chongqing Nankai Secondary School
  • 3 Nanjing University of Aeronautics and Astronautics

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/11/20230226

Abstract

The principle of a HCCI engine is to inject a mixture of fuel and air into the cylinder and allow it to self-ignite under a high compression ratio. Unlike traditional gasoline and diesel engines, the mixture in the HCCI engine is homogeneous and does not require an ignition system to ignite it. The air-fuel mixture in the cylinder is burned completely by compressing. It makes effective use of fuel. The structure is simpler than a conventional internal combustion engine. HCCI engine has a huge application prospect in many fields. Among them, the automobile is one of the biggest parts. However, some applications have not been widely used. Although the HCCI engine has so many advantages, as this study has discussed, many of its drawbacks are still serious, such as the difficulty in controlling the parameters in the combustion and work process, resulting in the theoretical process being difficult to realize fully. The stringent environmental constraints of HCCI engines, the scarcity of suitable fuels and the significantly lower lifetime of HCCI engines than conventional engines pose significant obstacles to their practical use. This study presents the idea of using artificial intelligence system-assisted control system to accurately control HCCI engines in real time, which has shown great potential in HCCI engine misfire detection and HCCI engine initial burn time prediction.

Keywords

HCCI technology, hydrogen energy, artificial intelligence, sustainability.

[1]. Antunes, J.G., Mikalsen, R. and Roskilly, A.P., 2008. An investigation of hydrogen-fuelled HCCI engine performance and operation. International journal of hydrogen energy, 33(20), pp.5823-5828

[2]. Hairuddin, A.A., Yusaf, T. and Wandel, A.P., 2014. A review of hydrogen and natural gas addition in diesel HCCI engines. Renewable and Sustainable Energy Reviews, 32, pp.739-761

[3]. Koo, T., Kim, Y.S., Lee, Y.D., Yu, S., Lee, D.K. and Ahn, K.Y., 2021. Exergetic evaluation of operation results of 5-kW-class SOFC-HCCI engine hybrid power generation system. Applied Energy, 295, p.117037

[4]. Wang, F., Harindintwali, J.D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L. and Chang, S.X., 2021. Technologies and perspectives for achieving carbon neutrality. The Innovation, 2(4), p.100180

[5]. Ezoji, H. and Ajarostaghi, S.S.M., 2020. Thermodynamic-CFD analysis of waste heat recovery from homogeneous charge compression ignition (HCCI) engine by Recuperative organic Rankine Cycle (RORC): Effect of operational parameters. Energy, 205, p.117989

[6]. Solmaz, H., 2020. A comparative study on the usage of fusel oil and reference fuels in an HCCI engine at different compression ratios. Fuel, 273, p.117775

[7]. Wu, Y.Y. and Jang, C.T., 2019. Combustion analysis of homogeneous charge compression ignition in a motorcycle engine using a dual-fuel with exhaust gas recirculation. Energies, 12(5), p.847

[8]. Bahri, B., Aziz, A.A., Shahbakhti, M. and Said, M.F.M., 2013. Understanding and detecting misfire in an HCCI engine fuelled with ethanol. Applied Energy, 108, pp.24-33

[9]. Taghavi, M., Gharehghani, A., Nejad, F.B. and Mirsalim, M., 2019. Developing a model to predict the start of combustion in HCCI engine using ANN-GA approach. Energy Conversion and Management, 195, pp.57-69

[10]. Choi, Y. and Chen, J.Y., 2005. Fast prediction of start-of-combustion in HCCI with combined artificial neural networks and ignition delay model. Proceedings of the Combustion Institute, 30(2), pp.2711-2718

Cite this article

Fu,Y.;Hu,E.;Xia,Z. (2023). HCCI technology using hydrogen energy and artificial intelligence. Applied and Computational Engineering,11,167-173.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/
ISBN:978-1-83558-011-0(Print) / 978-1-83558-012-7(Online)
Conference date: 24 June 2023
Editor:Alan Wang, Seyed Ghaffar
Series: Applied and Computational Engineering
Volume number: Vol.11
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).