Vehicle Engineering

  • The special vehicle research institute
  • Electric Vehicle Engineering and Technology Center (EVETC)
  • Automobile Research Institute
  • Vibration and Noise Control Laboratory
  • Shi Guobiao

     

    NAME

    Shi Guobiao

     

    TITLE

    Associate Professor

    SCHOOL

    School of Mechanical Engineering

    DEPARTMENT

    Vehicle Engineering

    OFFICE ADDRESS

    Beijing Institute of Technology

    POST CODE

    100081

    TELEPHONE

    13651177106

    E-MAIL ADDRESS

    sgb@bit.edu.cn

     

    Research and Teaching Interest

    Engaged in automotive electronic steering control technology domain, including electric power steering and electric hydraulic power steering, active front steering, steering by wire, etc..

    Selected Publications and patents

    Gu, Peng, Shi, Guobiao, Lin, Yi. Study on mechanism of active front steering based on harmonic drive. Mechanical Engineering, Materials Science and Civil Engineering, Applied Mechanics and Materials, v 274, p 17-22, 2013

    Li, Tan, Shi, Guobiao. Study of EPS Hall-effect torque sensor technology. Equipment Manufacturing Technology, Advanced Materials Research, v 422, p 107-112, 2012

    Wei, Jie, Shi, Guo Biao, Lin, Yi. Research on yaw stability control of active front steering based on BP neural network PID. Advanced Information and Computer Technology in Engineering and Manufacturing, Environmental Engineering, Advanced Materials Research, v 765-767, p 1903-1907, 2013

    Shi, Guobiao, Zhao, Songhui, Min, Jun. Simulation analysis for Electric Power Steering control system based on Permanent Magnetism Synchronization Motor. Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012, p 1778-1783, 2012(EI)

    Shi, Guo Biao, Cui, Jin Long, Gu, Peng. Matching design of assist characteristic for Electric hydraulic power steering system of electric bus. 2013, Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry, Applied Mechanics and Materials, v 427-429, p 235-240(EI)

    Wang, Hao Li, Shi, Guo Biao, Cui, Jin Long. Reliability analysis of the electric hydraulic power steering controller based on fault tree method. Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry, Applied Mechanics and Materials, v 427-429, p 1350-1355, 2013(EI)

    Achievements and Awards

     

    Professional Membership/Academic Appointments

    Member of Society of Automotive Engineering of China