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An advanced high dimensional model representation approach for internal combustion engine modeling and optimization

Author

Listed:
  • Lei, Jianhong
  • Li, Jing
  • Wu, Shaohua
  • Li, Haoxing
  • Amaratunga, Gehan A.J.
  • Han, Xu
  • Yang, Wenming

Abstract

This work introduces an efficient data-driven approach for engine performance modeling and optimization. A highly accurate and robust high-dimensional model representation (HDMR) surrogate model is developed based on the dataset generated from a coupled KIVA4-CHEMKIN Ⅱ software. The HDMR model is integrated with a multi-objective optimization algorithm, enabling the automatic identification of optimal combustion strategies. Results suggest that the constructed HDMR model is able to accurately predict the engine performance and exhaust gas emissions with negligible CPU costs. Moreover, the model effectively identifies optimal engine operating conditions, leading to enhanced fuel efficiency.

Suggested Citation

  • Lei, Jianhong & Li, Jing & Wu, Shaohua & Li, Haoxing & Amaratunga, Gehan A.J. & Han, Xu & Yang, Wenming, 2024. "An advanced high dimensional model representation approach for internal combustion engine modeling and optimization," Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031852
    DOI: 10.1016/j.energy.2024.133409
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    1. Wu, Shaohua & Akroyd, Jethro & Mosbach, Sebastian & Brownbridge, George & Parry, Owen & Page, Vivian & Yang, Wenming & Kraft, Markus, 2020. "Efficient simulation and auto-calibration of soot particle processes in Diesel engines," Applied Energy, Elsevier, vol. 262(C).
    2. Wu, Shaohua & Lao, Chung Ting & Akroyd, Jethro & Mosbach, Sebastian & Yang, Wenming & Kraft, Markus, 2020. "A joint moment projection method and maximum entropy approach for simulation of soot formation and oxidation in diesel engines," Applied Energy, Elsevier, vol. 258(C).
    3. Liu, Zuming & Karimi, Iftekhar A., 2020. "Gas turbine performance prediction via machine learning," Energy, Elsevier, vol. 192(C).
    4. Sathish, T. & Ağbulut, Ümit & Kumari, Vinod & Rathinasabapathi, G. & Karthikumar, K. & Rama Jyothi, N. & Ratna Kandavalli, Sumanth & Vijay Muni, T. & Saravanan, R., 2023. "Energy recovery from waste animal fats and detailed testing on combustion, performance, and emission analysis of IC engine fueled with their blends enriched with metal oxide nanoparticles," Energy, Elsevier, vol. 284(C).
    5. Razmi, Afshin & Rahbar, Morteza & Bemanian, Mohammadreza, 2022. "PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort," Applied Energy, Elsevier, vol. 305(C).
    6. Silitonga, A.S. & Masjuki, H.H. & Ong, Hwai Chyuan & Sebayang, A.H. & Dharma, S. & Kusumo, F. & Siswantoro, J. & Milano, Jassinnee & Daud, Khairil & Mahlia, T.M.I. & Chen, Wei-Hsin & Sugiyanto, Bamban, 2018. "Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine," Energy, Elsevier, vol. 159(C), pages 1075-1087.
    7. Deng, Xiaorong & Li, Jing & Liang, Yifei & Yang, Wenming, 2023. "Dual-fuel engines fueled with n-butanol/n-octanol and n-butanol/DNBE: A comparative study of combustion and emissions characteristics," Energy, Elsevier, vol. 263(PC).
    8. Shirvani, Sasan & Shirvani, Saeid & Shamekhi, Amir H. & Reitz, Rolf & Salehi, Fatemeh, 2021. "Meeting EURO6 emission regulations by multi-objective optimization of the injection strategy of two direct injectors in a DDFS engine," Energy, Elsevier, vol. 229(C).
    9. Datta, Ambarish & Mandal, Bijan Kumar, 2017. "Engine performance, combustion and emission characteristics of a compression ignition engine operating on different biodiesel-alcohol blends," Energy, Elsevier, vol. 125(C), pages 470-483.
    10. Ram, Narasimhan Kodanda & Singh, Nameirakpam Rajesh & Raman, Perumal & Kumar, Atul & Kaushal, Priyanka, 2020. "Experimental study on performance analysis of an internal combustion engine operated on hydrogen-enriched producer gas from the air–steam gasification," Energy, Elsevier, vol. 205(C).
    11. Maghbouli, Amin & Yang, Wenming & An, Hui & Li, Jing & Chou, Siaw Kiang & Chua, Kian Jon, 2013. "An advanced combustion model coupled with detailed chemical reaction mechanism for D.I diesel engine simulation," Applied Energy, Elsevier, vol. 111(C), pages 758-770.
    12. Li, Jing & Ye, Lan & Gong, Shiqi & Deng, Xiaorong & Wang, Shuo & Liu, Rui & Yang, Wenming, 2024. "Review on the combustion progress and engine application of tailor-made fuels from biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    13. Wong, Ka In & Wong, Pak Kin & Cheung, Chun Shun & Vong, Chi Man, 2013. "Modeling and optimization of biodiesel engine performance using advanced machine learning methods," Energy, Elsevier, vol. 55(C), pages 519-528.
    14. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yu, Mingzhe & Wang, Yan, 2023. "Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions," Energy, Elsevier, vol. 263(PB).
    15. Li, Yaopeng & Jia, Ming & Chang, Yachao & Liu, Yaodong & Xie, Maozhao & Wang, Tianyou & Zhou, Lei, 2014. "Parametric study and optimization of a RCCI (reactivity controlled compression ignition) engine fueled with methanol and diesel," Energy, Elsevier, vol. 65(C), pages 319-332.
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