李成龙

研究方向:新能源汽车、氢气纯化、人工智能与气体分离建模优化

来源:英国上市公司365发布时间:2026-06-24浏览次数:16

李成龙

研究方向:新能源汽车、氢气纯化、人工智能与气体分离建模优化


  • 个人简介

  • 成果介绍

  • 工学博士,武汉理工大学车辆工程专业博士研究生曾获国家留学基金委资助赴加拿大三河城魁北克大学(Université du Québec à Trois-Rivières, UQTR)氢能研究所联合培养。主要从事新能源汽车、氢气纯化、人工智能与气体分离建模优化等方向研究主讲《汽车构造》、《汽车智能驾驶模拟仿真技术》等课程。作为项目负责人主持湖北省自然科学基金青年项目(在研)和武汉市科技创新局项目(结题)1项、参与国家自然科学基金项目2项,相关成果发表于Separation and Purification TechnologyFuelInternational Journal Hydrogen Energy等国际纯化分离和能源领域Top期刊,累计发表SCI论文14篇(第一/通讯作者10篇)、EI论文5篇。

  • 发表的学术论文如下:

    [1]     Chenglong Li, Ziyu Yang, Hao Luo ,Ben Chen , Yonghua Cai , Tianqi Yang*, et al. A modified adsorbent performance indicator for multi-component gas separation and hydrogen purification based on ideal adsorbed solution theory. International Journal Hydrogen Energy. 2026;237:155316. (SCI, IF=9.2, JCR Q1)

    [2]     Chenglong Li, Ziyu Yang, Hao Luo, Tianqi Yang*, Lang Tong, Yupeng Yuan, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Analytical and numerical estimations of isosteric heat of adsorption with application to hydrogen purification[J]. Fuel. 2025, 381:133398. (SCI, IF=7.8, JCR Q1)

    [3]     Chenglong Li, Chengqing Yuan, Tianqi Yang*, Hao Luo, Richard Chahine, Lang Tong, Yupeng Yuan, Jinsheng Xiao. Breakthrough curves of H2/CO2 adsorptions on CuBTC and MIL-125(Ti)_NH2 predicted by empirical correlations and deep neural networks[J]. Separation and Purification Technology. 2025, 354:129450. (SCI, IF=9.1, JCR Q1)

    [4]     Chenglong Li, Ben Chen, Yonghua Cai, Tianqi Yang*, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Multi-objective performance optimization of fuel cell grade hydrogen purification by multi-layered pressure swing adsorption systems with novel combination of adsorbents[J]. Separation and purification technology. 2025, 376:133996.(SCI, IF=9.1, JCR Q1)

    [5]     Chenglong Li, Hao Luo, Yupeng Yuan, Lang Tong, Ben Chen, Tianqi Yang*, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Equilibrium and dynamic adsorption characteristics of Zeolite 5A, LiX, 13X and MOF UTSA-16 adsorbents for hydrogen purification[J]. International Journal of Hydrogen Energy. 2025, 140:889-899. (SCI, IF=9.2, JCR Q1)

    [6]     Chenglong Li, Feng Ye, Richard Chahine, Tianqi Yang*, Jinsheng Xiao. Genetic algorithm optimized artificial neural network models of single- and multi-component gas adsorption isotherms for hydrogen purification[J]. International Journal of Hydrogen Energy. 2024, 52:1127-1142. (SCI, IF=9.2, JCR Q1)

    [7]     Chenglong Li, Tianqi Yang*, Hao Luo, Lang Tong, Pierre Bénard, Richard Chahine, Jinsheng Xiao. Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model[J]. International Journal of Hydrogen Energy. 2024, 52:390-405. (SCI, IF=9.2, JCR Q1)

    [8]     Tianqi Yang, Dong Wei, Hao Luo, Ben Chen, Yonghua Cai, Chenglong Li*, Xuefang Li, Richard Chahine, Jinsheng Xiao. Machine learning prediction on adsorption capacities of steam methane reforming off-gas in silica gels[J]. Sustainable Energy & Fuels. 2025, 9:6841-6852. (SCI, IF=4.6, JCR Q2)