CN | EN
Faculty & Staff
Bian Mingyuan

Senior Engineer

E-mail:bmy@tsinghua.edu.cn

Office:Room A333, Lee Shau-kee Science and Technology Building, Tsinghua University

Office Hours:By Appointment

Personal Profile

From 1991 to 1998, while working in industry, he was extensively engaged in key technology research and product design and development for complete vehicles and transmission systems of specialized vehicles. He led the development of several new models of agricultural vehicles and independently undertook the design of numerous combined multi-speed specialized vehicle transmissions and drive axles, obtaining six Chinese utility model patents.

During his tenure at the Department of Automotive Engineering, Tsinghua University, from 2003 to 2009, he was primarily involved in the product design, development, and technical research of military and special-purpose vehicles. As a core team member, he participated in the pre-research project for a defense model of a 4×4 light wheeled armored vehicle. Serving as a core member representing the deputy chief designer unit, he contributed to the development of a defense model equipment project for an 8×8 all-terrain high-mobility weapon platform, engaging in overall vehicle design and the design of a dual-power-flow continuously variable transmission integrated drivetrain. As a key member, he participated in the operation and management of the Tsinghua-South Heavy-Duty Truck R&D Center and was involved in the product design of complete vehicles and braking systems for various mining heavy-duty transport vehicles, including 6×4 and 8×4 configurations.

Since 1998, he has been consistently engaged in research on vehicle system dynamics and control, as well as vehicle active safety control technologies, with a focus on vehicle system dynamics parameter estimation and the study of active safety control strategies and algorithms. He has successively proposed theories and methods for estimating road adhesion coefficient based on road characteristic factors, dynamic model reconstruction, and wheel torque vibration characteristics. He has developed estimation methods for vehicle dynamics parameters such as vehicle speed, longitudinal/lateral wheel forces, and sideslip angle suitable for all-wheel-drive vehicles, and proposed vehicle safety control strategies for critical instability conditions. He has participated in several research projects, including a National 973 Basic Research Program project, a Beijing Municipal Key Science and Technology Program project, and a National Key R&D Program project during the 13th Five-Year Plan period, publishing multiple academic papers and obtaining several Chinese invention patents.

Since 2016, he has been researching key technologies for intelligent and connected vehicles and their applications in both civilian and defense sectors. His focus includes vehicle-infrastructure cooperative autonomous driving and vehicle networking application technologies, cloud-controlled land combat platforms, ground unmanned combat systems, and cross-domain cooperative cyber-physical combat system technologies. He has successively planned, guided, organized, implemented, and participated in various cutting-edge national defense research projects.

Concurrently, he is actively involved in research on the smart vehicle industry and technology strategy, concentrating on the new technological architecture of smart vehicles, the smart vehicle industry ecosystem, and technologies for intelligent transportation and future mobility systems. He has participated in several government policy advisory research projects, such as the Chinese Academy of Engineering's "Research on Automotive Power Strategy" academician project and the National Development and Reform Commission's "National Intelligent Vehicle Innovation Development Strategy" project. He contributed to the preparatory work for the National Innovation Center for Intelligent and Connected Vehicles and participated in the drafting and formulation of several national strategic documents guiding industry development. These include the Technology Roadmap for Energy Saving and New Energy Vehicles (2016), the Green Paper on Technological Innovation in Key Areas of Made in China 2025—Technology Roadmap (2017), the Intelligent Vehicle Innovation Development Strategy (Draft for Comments), and the Implementation Plan for the Intelligent and Connected Vehicle Promotion Project under the Medium and Long-Term Development Plan for the Automotive Industry.

Teaching

Since 2007, he has been responsible for organizing and teaching the university-wide undergraduate elective course Weapon Science and Technology at Tsinghua University. From 2009 to 2016, he taught the university-wide undergraduate elective course Wheeled Armored Vehicle Technology. Since 2010, he has been involved in the practical teaching of the compulsory undergraduate course Automotive Production Practice in the Department of Automotive Engineering.

From October 2010 to March 2017, he served as the faculty advisor for the Tsinghua University FSAE Formula Student team and the Tsinghua Violet Energy-Saving Vehicle Team. He provided comprehensive guidance to students in race car design, specialized technical research, and led the teams to competitions. The FSAE team won multiple national championships in individual events during the 2012 and 2013 seasons, while the energy-saving vehicle team achieved the national runner-up position in 2015 and the national championship in 2016.

Between 2005 and 2016, he served four terms as a class advisor for undergraduate students in the Department of Automotive Engineering, receiving the honor of "Outstanding Military-Industry Oriented Class Advisor at Tsinghua University" in both 2009 and 2012.

Since 2005, he has been supervising undergraduate thesis projects and guiding students in research work through the Student Research Training (SRT) program.

Research Interest

  1. Vehicle System Dynamics and Control

  2. Vehicle Active Safety Technology

  3. Smart Vehicle Industry and Technology Strategy

  4. Vehicle Product Design and Development

Publication

[1] Estimation of tire-road friction coefficient based on frequency domain data fusion, Mechanical Systems and Signal Processing, February 2017,85:177–192

[2] Tire–road friction coefficient estimation based on the resonance frequency of in-wheel motor drive system,Vehicle System Dynamics,January 2016,54(1):1-19

[3] Real-time identification of the tyre–road friction coefficient using an unscented Kalman filter and mean-square-error-weighted fusion,Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering,July 2015,230(6):1-15

[4] Maximum Tire Road Friction Estimation Based on Modified Dugoff Tire Model,2013 INTERNATIONAL CONFERENCE ON MECHANICAL AND AUTOMATION ENGINEERING (MAEE 2013) PROCEEDINGS,July 2013,56-61

[5] Estimation of maximum tire-road friction based on dynamic model reconstruction,2013 INTERNATIONAL CONFERENCE ON MECHANICAL AND AUTOMATION ENGINEERING (MAEE 2013) PROCEEDINGS,July 2013,224-228

[6] Research on Maximum Road Adhesion Coefficient Estimation for Distributed Drive Electric Vehicle,2013 INTERNATIONAL CONFERENCE ON MECHANICAL AND AUTOMATION ENGINEERING (MAEE 2013) PROCEEDINGS,July 2013,90-94

[7] Road condition estimation for automotive anti-skid control system based on BP neural network,2005 IEEE International Conference on Mechatronics and Automations, Vols 1-4, Conference Proceedings,July 2005,1017-1022

[8] A velocity control strategy for vehicular collision avoidance system,2005 IEEE International Conference on Mechatronics and Automations, Vols 1-4, Conference Proceedings,August 2005,1827-1830

[9] Development of a mechatronics platform for automotive collision free maneuvers,PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON INTELLIGENT MECHATRONICS AND AUTOMATION,August 2004,233-238

School of Vehicle and Mobility,Tsinghua University

Copyright ©  All Rights Reserved