Vehicle Engineering

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

     

    NAME

    Xiong Rui

     540349159071652221_副本.jpg

    TITLE

    Full Professor, IET Fellow

    SCHOOL

    School of Mechanical Engineering

    DEPARTMENT

    Vehicle Engineering

    OFFICE ADDRESS

    Room 511B, Vehicle Laboratory Building, 5 South Zhongguancun St., Haidian District, Beijing 100081, China

    POST CODE

    100081

    TELEPHONE

    010-68914070

    E-MAIL ADDRESS

    rxiong@bit.edu.cn

     

    Personal biography

    Prof. Rui Xiong received the M.Sc. degree in vehicle engineering and the Ph.D. degree in mechanical engineering from Beijing Institute of Technology, Beijing, China, in 2010 and 2014, respectively.

    He is a Professor with the Beijing Institute of Technology, Beijing, China. From 2019 to 2020, he was a Visiting Professor at the Massachusetts Institute of Technology, Cambridge, MA, USA. He has conducted extensive research and authored more than 100 journal papers. His research interests include intelligent electrified vehicle, batteries, machine learning and energy storage.

    Dr. Xiong is a Fellow of the Institution of Engineering and Technology (IET), he has been continuously selected as the HIGHLY CITED RESEARCHER from Clarivate Analytics from 2018 to 2020, Most Cited Chinese Researchers from Elsevier in 2019. He was a recipient of the First Prize of Natural Science Award of the Ministry of Education of China in 2018 and the First Prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018. He serves as an Associate Editor for the IET Power Electronics, IET Intelligent Transport Systems, and on the Editorial Board for the Applied Energy and Electrical Engineering. He also is the Conference Chair for four International Conferences.

    Visit Prof. Xiong’s Group Website: http://en.aesa.net.cn/About.aspx?ClassID=1

    Selected Publications


    1. XIONG Rui, SHEN Weixiang. Advanced Battery Management Technologies for Electric Vehicles, Wiley, Dec 2018. (BOOK)


    2. XIONG Rui. Battery Management Algorithm for Electric Vehicles, Springer, Sep 2019. (BOOK, https://link.springer.com/book/10.1007/978-981-15-0248-4)


    3. R. Xiong*, S. Ma, H. Li, F. Sun and J.Li, “Towards a Safer Battery Management System: A Critical Review on Diagnosis and Prognosis of Battery Short Circuit”, iScience, vol. 23, no. 4, pp. 101010, April 2020.


    4. R. Xiong, L. Li, Q. Yu, Q. Jin and R. Yang, “A set membership theory based parameter and state of charge co-estimation method for all-climate batteries,” Journal of Cleaner Production, vol. 249, pp. 119380, March 2020.


    5. R. Xiong*, R.X. Yang, Z.Y. Chen, W.X. Shen and F.C. Sun, "Online Fault Diagnosis of External Short Circuit for Lithium-ion Battery Pack", IEEE Transactions on Industrial Electronics, vol 67, no. 2, pp. 1081-1091, Feb 2020. 


    6. R. Xiong, Q. Yu*, W. Shen, C.Lin and F. Sun, "A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles", IEEE Transactions on Power Electronics, 2019, vol. 34, no. 10, pp. 9709-9718, OCT 2019.


    7. R. Xiong*, J.Tian, W. Shen and F. Sun, "A novel fractional order model for state of charge estimation in lithium ion batteries", IEEE Transactions on Vehicular Technology, vol. 68, no.5, pp.4130-4139, May 2019.


    8. R. Xiong, Y. Zhang*, J. Wang, H. He, S. Peng, Michael Pecht, "Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles", IEEE Transactions on Vehicular Technology, vol. 68, no.5, pp. 4110-4121, May 2019.


    9. Y. Zhang, R. Xiong*, H. He, and M. Pecht,"Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation", IEEE Transactions on Industrial Electronics, vol. 66, no.2, pp. 1585-1597, Feb 2019.


    10. J.P. Tian, R. Xiong* and Q.Q. Yu, "Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries", IEEE Transactions on Industrial Electronics, vol. 66, no.2, pp. 1576 - 1584, Feb 2019.


    11. R. Xiong*, L. Li and J. Tian, "Towards a smarter battery management system: A critical review on battery state of health monitoring methods," Journal of Power Sources, vol.405, pp.18-29, Nov 2018.


    12. R. Xiong*, H. Chen, C .Wang and F. Sun, “Towards a smarter hybrid energy storage system based on battery and ultracapacitor - a critical review on topology and energy management”, Journal of Cleaner Production, vol. 202, pp. 1228-1240, Nov 2018.


    13. Y. Zhang, R. Xiong*, H. He, and M. Pecht,"Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries", IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 5695 – 5705, July 2018.


    14. R. Yang, R. Xiong*, H. He and Z. Chen, "A fractional-order model-based battery external short circuit fault diagnosis approach for all-climate electric vehicles application", Journal of Cleaner Production, vol. 187, pp. 950-959, June 2018.


    15. R. Xiong*, Y. Z. Duan, J. Y. Cao and Q. Q. Yu*, "Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle", Appl Energy, vol. 217, pp.153-165, May 2018.


    Achievements and Awards


    • Most Cited Chinese Researchers from Elsevier, 2020


    • Outstanding papers from Annual Academic Conference of China Institute of Electrical Engineering (3 papers), 2019


    • 100 Most Influential International Academic Papers in China, 2019


    • Clarivate Analytics “Highly Cited Researchers”, 2019


    • Excellent Young Scholars from National Natural Science Foundation of China, 2019


    • First Prize of Natural Science Award of Ministry of Education, 2019


    • Clarivate Analytics “Highly Cited Researchers”, 2018


    • First Prize of Technology Invention Award of China Automotive Industry, 2018


    • IEEE Transactions on Vehicular Technology Best Paper Award, 2018


    • 100 Most Influential International Academic Papers in China, 2017


    • Talents Program of “Beijing Nova program”, 2016


    • 100 Most Influential International Academic Papers in China, 2015


    • 100 Most Influential International Academic Papers in China, 2014


    Professional Membership/Academic Appointments

    Academic Appointments


    • Visiting Professor, Department of Materials Science and Engineering, Massachusetts Institute of Technology, Dec 2019~Now


    • Full Professor, School of Mechanical Engineering, Beijing Institute of Technology, July 2019~Now.


    • Deputy Director, Beijing Engineering Research Center of Electric Vehicles, 2019~Now


    • Adjunct professor, Swinburne University of Technology, Melbourne, Australia. Nov 2017-Now


    • Associate professor, School of Mechanical Engineering, Beijing Institute of Technology, Sep 2014-June 2019     


    • Visiting scholar, College of Electrical and Computer Science, University of Michigan, Dearborn, Sep 2012-Jan 2014


    Academic service


    • Associate Editor: IET Intelligent Transport SystemsIET Power Electronics, IEEE ACCESS and the SAE International Journal of Alternative Powertrains


    • Section Editor-in-chief: Energies


    • Editor board member: Applied Energy, Electrical Engineering, eTransportation;


    • Conference chair: International Symposium on Electric Vehicles (ISEV2017, Sweden), International Conference on Electric and Intelligent Vehicles (ICEIV2018, Australia;ICEIV2019,Norway);


    • Active member: Fellow member of IET (Institution of Engineering and Technology), Senior Member of IEEE (Institute of Electrical and Electronics Engineers), Senior Member of China Electrotechnical Society, Senior Member of Chinese Mechanical Engineering Society.


    • Reviewer: More than 50 journals and conferences.