徐宏明 - 清华大学 - 车辆与运载学院

个人简介

清华大学车辆与运载学院特聘教授。英国机械工程师协会会士(IMechE Fellow)，国际汽车工程师协会会士(SAE Fellow)，全英华人教授协会副主席，全英华人汽车工程师协会主席。1995年帝国理工学院博士毕业留校研究员，高级研究员。2000年入职英国捷豹汽车公司研发部，先后任项目工程师，团队负责人，技术专家，英国远视汽车项目（CHARGE@CHASE）负责人，福特汽车公司全球HCCI技术指导委员会委员。2005年加入伯明翰大学机械工程系任副教授，2009年起任学科主任教授。伯明翰大学先进发动机与车辆技术研究中心主任，伯明翰现代汽车研究和教育中心主任。教育背景 1990－1995年伦敦大学帝国理工学院博士 1982－1982年合肥工业大学(安徽工学院)内燃机专业硕士 1978－1982年合肥工业大学内燃机专业学士工作履历 2011 年 - 清华大学汽车工程系（车辆学院）国家级人才项目教授 2009 年 - 英国伯明翰大学机械工程系教授 2005 – 2009 年英国伯明翰大学机械工程系副教授 2004 – 2005 年英国福特捷豹汽车公司技术专家(Technical Specialist) 2002 – 2004 年英国福特捷豹汽车公司团队负责人(Team Leader) 2000 – 2001 年英国福特捷豹汽车公司项目工程师 (Project Engineer) 1999 – 1999 年英国帝国理工学院高级研究员 (RA2A) 1995 – 1999 年英国帝国理工学院研究员（RA1A） 1987 – 1990 年安徽工学院动力机械系讲师, 实验室主任 1984 – 1987 年安徽工学院动力机械系助教荣誉与奖励 2005年和国际上著名发动机技术咨询公司FEV总裁、亚琛大学教授毕兴格先生一起获得波兰内燃机协会勋章，2011年被授予《伯明翰英雄》称号，表彰科研成果的突出贡献

研究领域

长期从事先进发动机和未来燃油的前瞻研究，早期贡献主要是开发发动机新型燃烧系统和新型生物燃料，近十几年致力于人工智能汽车动力系统优化与控制方面的研究

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Article Zhou, Z, Yan, F, Zhang, G, Wu, D & Xu, H 2023, 'A Study on the Dynamic Collision Behaviors of a Hydrous Ethanol Droplet on a Heated Surface', Processes, vol. 11, no. 6, 1804. https://doi.org/10.3390/pr11061804 Liao, J, Hu, J, Yan, F, Chen, P, Zhu, L, Zhou, Q, Xu, H & Li, J 2023, 'A comparative investigation of advanced machine learning methods for predicting transient emission characteristic of diesel engine', Fuel, vol. 350, 128767. https://doi.org/10.1016/j.fuel.2023.128767 Li, J, Zhou, Q, Williams, H, Xu, P, Xu, H & Lu, G 2022, 'Fuzzy-tree-constructed data-efficient modelling methodology for volumetric efficiency of dedicated hybrid engines', Applied Energy, vol. 310, 118534. https://doi.org/10.1016/j.apenergy.2022.118534 Li, J, Wu, D, Mohammadsami Attar, H & Xu, H 2022, 'Geometric neuro-fuzzy transfer learning for in-cylinder pressure modelling of a diesel engine fuelled with raw microalgae oil', Applied Energy, vol. 306, no. Part A, 118014. https://doi.org/10.1016/j.apenergy.2021.118014 Li, J, Zhou, Q, Williams, H & Xu, H 2022, 'Statistics-Guided Accelerated Swarm Feature Selection in Data-Driven Soft Sensors for Hybrid Engine Performance Prediction', IEEE Transactions on Industrial Informatics, vol. 2022, 9858604, pp. 1-11. https://doi.org/10.1109/TII.2022.3199259 Zhou, Q, Li, Y, Zhao, D, Li, J, Williams, H, Xu, H & Yan, F 2022, 'Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression', Applied Energy, vol. 305, 117853. https://doi.org/10.1016/j.apenergy.2021.117853 Li, J, Zhou, Q, Williams, H, Xu, H & Du, C 2021, 'Cyber-physical data fusion in surrogate-assisted strength pareto evolutionary algorithm for PHEV energy management optimization', IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2021.3121287 Coratella, C, Parry, L, Li, Y & Xu, H 2021, 'Experimental Investigation of the Rail Pressure Fluctuations Correlated with Fuel Properties and Injection Settings', Automotive Innovation, vol. 4, no. 2, pp. 215-226. https://doi.org/10.1007/s42154-020-00133-x Zhou, Q, Guo, S, Xu, L, Guo, X, Williams, H, Xu, H & Yan, F 2021, 'Global optimization of the Hydraulic-electromagnetic Energy-harvesting Shock Absorber for road vehicles with Human-knowledge-integrated Particle Swarm Optimization scheme', IEEE/ASME Transactions on Mechatronics, vol. 26, no. 3, 9343693, pp. 1225-1235. https://doi.org/10.1109/TMECH.2021.3055815 Zhou, Q, Wang, C, Sun, Z, Li, J, Williams, H & Xu, H 2021, 'Human-knowledge-augmented Gaussian process regression for state-of-health prediction of lithium-ion batteries with charging curves', Journal of Electrochemical Energy Conversion and Storage, vol. 18, no. 3, 030907 . https://doi.org/10.1115/1.4050798 Zhou, Q, Zhao, D, Shuai, B, Li, Y, Williams, H & Xu, H 2021, 'Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle', IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 12, pp. 5298-5308. https://doi.org/10.1109/TNNLS.2021.3093429 Xu, H & Zhou, Q 2021, '人工智能在发动机控制开发中的应用及前景', Journal of Automotive Safety and Energy, vol. 12, no. 2, pp. 150-162. https://doi.org/10.3969/j.issn.1674-8484.2021.02.002 Conference contribution Liu, K, Li, J, Zhu, C, Chen, T, Li, K, Zhou, Q & Xu, H 2022, Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. in 2022 IEEE 5th International Electrical and Energy Conference (CIEEC)., 9845925, China International Electrical and Energy Conference (CIEEC), Institute of Electrical and Electronics Engineers (IEEE), pp. 1912-1917, 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 27/05/22. https://doi.org/10.1109/CIEEC54735.2022.9845925 Letter Li, J, Zhou, Q, He, X & Xu, H 2022, 'Letter: driver-centric velocity prediction with multidimensional fuzzy granulation', IEEE/CAA Journal of Automatica Sinica. https://doi.org/10.1109/JAS.2022.105998 Review article Zhou, Q, Li, J & Xu, H 2022, 'Artificial Intelligence and Its Roles in the R&D of Vehicle Powertrain Products', International Journal of Automotive Manufacturing and Materials, vol. 1, no. 1, 6. https://doi.org/10.53941/ijamm0101006

学术兼职

清华大学车辆与运载学院国家特聘专家教授。行业顶级国际期刊《应用能源》（科学院一区期刊）副主编，《International Journal of Powertrain》执行主编。 2012-2016年曾任国际能源署燃烧任务协议委员会候补委员