Title
Professor
■ Doctoral Supervisor ■ Master's Supervisor
College Majors
School of Mechanical and Vehicle Mechanical Engineering
Office Address
Vehicle Key Laboratory Building Intelligent Vehicle Research Institute
post 100081
Office Phone
010-68914582
By mail
huilong.yu@bit.edu.cn

代表性论文：
Huilong Yu, F. Cheli, and F. Castelli-Dezza, “Optimal design and control of 4-IWD electric vehicles based on a 14-DOF vehicle model,” IEEE Trans. Veh. Technol. , vol. 67, no. 11, pp. 10457–10469, 2018.
Huilong Yu, F. Zhang, J. Xi, and D. Cao, “Mixed-integer Optimal Design and Energy Management of Hybrid Electric Vehicles with Automated Manual Transmissions,” IEEE Trans. Veh. Technol. , pp. 1–1, 2020.
Huilong Yu, F. Castelli-Dezza, F. Cheli, X. Tang, X. Hu, and X. Lin, “Dimensioning and Power Management of Hybrid Energy Storage Systems for Electric Vehicles with Multiple Optimization Criteria,” IEEE Trans. Power Electron. , vol. 36, no. 5, 2021.
K. Shu, Huilong Yu*, X. Chen, S. Li, L. Chen, Q. Wang, L. Li and D. Cao*. “Autonomous Driving at Intersections: A Behavior-Oriented Critical-Turning-Point Approach for Decision Making,” IEEE/ASME Trans. Mechatronics, pp. 1–1, 2021.
Huilong Yu, D. Tarsitano, X. Hu, and F. Cheli, “Real time energy management strategy for a fast charging electric urban bus powered by hybrid energy storage system,” Energy, vol. 112, pp. 322–331, 2016.
Huilong Yu, F. Castelli-Dezza, and F. Cheli, “Optimal powertrain design and control of a 2-IWD electric race car,” 2017 Int. Conf. Electr. Electron. Technol. Automot. , no. 1, pp. 1–7, 2017.
J. Zhang, G. Li, Huilong Yu*, J. Huissoon, D. Cao*, “Interaction-Aware Cut-In Behavior Prediction and Risk Assessment for Autonomous Driving,” 2020 IFAC Conference on Cyber-Physical & Human-Systems,” Beijing, China, 2020.
研究项目：
国家自然科学基金-青年项目，主持；
清华大学汽车安全与节能国家重点实验室开放基金，主持；
加拿大自然基金，Canada CFI, CogSim: An Interaction-Aware Tri-Simulator Facility for Research on Driver Behaviors and Cognitive Autonomous Driving，研究骨干；
加拿大企业合作项目，加拿大华为，Optimization Toolbox Development and Verification for Connected Autonomous Driving based on 5G+ Enabled Holistic Data Fusion，研究骨干；
国际合作项目，东风汽车集团，东风乘用车自动驾驶车辆人机共驾与降维系统研发和应用，研究骨干；
加拿大自然基金，Canada NSERC-DG, Driving-style-oriented human-like automated driving and its verification，参与。

Personal Introduction: Yu Huilong, professor and doctoral supervisor of School of Machinery and Vehicle, Beijing Institute of Technology, is a national high-level young talent. I graduated from the Institute of Intelligent Vehicles of Beijing Institute of Technology with an excellent master's thesis. From 2013 to 2017, I studied for a doctorate degree in Mechanical Engineering of Politecnico di Milano (QS 2020 World Ranking: 9). During the doctoral period, my research direction was optimal design and optimal control of unmanned electric racing cars. From 2018 to 2021, he worked as a postdoctoral researcher in the Cognitive Autonomous Driving Laboratory at the University of Waterloo, Canada, focusing on autonomous driving decision planning and control. As a research backbone, he has participated in the research work of NSERC Canada, CFI Canada, CRC Canada, National Natural Science Foundation of China, 863 Ministry of Science and Technology and enterprise cooperation projects. As the core personnel of the project, I cooperated with the Italian driving simulation company VI-Grade. He has conducted long-term research on the basic methods of large-scale optimal control and optimal design and its application in complex vehicle control and design problems, and the theory and application of autonomous driving decision planning and control. Based on relevant research results, he has published more than 30 SCI/EI papers, won the best student paper award at international conferences, and authorized 5 patents. He presided over the National Natural Science Foundation Youth Fund, the National Key Laboratory Open Fund and other projects, and won the Seal of Excellence honor of the European Union Marie Curie Scholars Program in 2021.
Research direction: Mainly research the following basic theories and methods and their application in practical engineering problems in the fields of unmanned vehicles, special vehicles and new energy vehicles:
Theory and method of decision planning under uncertain environment;
Collaborative optimal design and optimal control method;
Vehicle dynamics and control under extreme adhesion conditions;
Interpretable machine learning theory and method;
Optimal control theory.
Postgraduate recruitment: Students who love scientific research are welcome to contact for master's and doctoral degrees (mathematics, computer, mechanical, control, etc.), postdoctoral researchers are recruited.

Personal Introduction: Yu Huilong, professor and doctoral supervisor of School of Machinery and Vehicle, Beijing Institute of Technology, is a national high-level young talent. I graduated from the Institute of Intelligent Vehicles of Beijing Institute of Technology with an excellent master's thesis. From 2013 to 2017, I studied for a doctorate degree in Mechanical Engineering of Politecnico di Milano (QS 2020 World Ranking: 9). During the doctoral period, my research direction was optimal design and optimal control of unmanned electric racing cars. From 2018 to 2021, he worked as a postdoctoral researcher in the Cognitive Autonomous Driving Laboratory at the University of Waterloo, Canada, focusing on autonomous driving decision planning and control. As a research backbone, he has participated in the research work of NSERC Canada, CFI Canada, CRC Canada, National Natural Science Foundation of China, 863 Ministry of Science and Technology and enterprise cooperation projects. As the core personnel of the project, I cooperated with the Italian driving simulation company VI-Grade. He has conducted long-term research on the basic methods of large-scale optimal control and optimal design and its application in complex vehicle control and design problems, and the theory and application of autonomous driving decision planning and control. Based on relevant research results, he has published more than 30 SCI/EI papers, won the best student paper award at international conferences, and authorized 5 patents. He presided over the National Natural Science Foundation Youth Fund, the National Key Laboratory Open Fund and other projects, and won the Seal of Excellence honor of the European Union Marie Curie Scholars Program in 2021.
Research direction: Mainly research the following basic theories and methods and their application in practical engineering problems in the fields of unmanned vehicles, special vehicles and new energy vehicles:
Theory and method of decision planning under uncertain environment;
Collaborative optimal design and optimal control method;
Vehicle dynamics and control under extreme adhesion conditions;
Interpretable machine learning theory and method;
Optimal control theory.
Postgraduate recruitment: Students who love scientific research are welcome to contact for master's and doctoral degrees (mathematics, computer, mechanical, control, etc.), postdoctoral researchers are recruited.

IEEE Member
IEEE Vehicular Technology Society Member
IEEE Intelligent Transportation Systems Society Member
IEEE Symposium on Intelligent Vehicle 2018 (IEEE IV 2018), Demonstration & Exhibition, Co-Chair
IEEE IV 2018, Special Session, Co-Chair
IEEE IV 2018-2022 Associate Editor
IEEE Intelligent Transportation Systems Conference 2020 (IEEE ITSC2020), Workshop, Co-Chair
Invited to serve as young editorial Board member of Journal of Automotive Engineering, Distinguished Expert of Technical and Standards Expert Group of Electrical Appliance Technology Branch of Chinese Society of Automotive Engineering, Journal of Mechanical Engineering, Ordnance Engineering, IEEE TVT, IEEE TITS, IEEE TIE, IEEE TII, IEEE TMECH, IEEE TMECH, IEEE TITS, IEEE TMECH. More than 30 international journal reviewers such as IEEE IoT, IEEE TTE, Applied Energy, Part D: JAUTO, IET ITS, etc., with an annual review volume of 40+.