Overview
Rui Xiong received the M.Sc.Eng 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 and the director of the National Engineering Research Center of Electric Vehicles, at 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 authored more than 200 journal papers, five monographs, and holds more than 60 patents. His research interests include electrified vehicles, energy storage, batteries, and machine learning.
He has been continuously selected as a Highly Cited Researcher by Clarivate Analytics every year from 2018 to 2024. He was a recipient of the Special Prize of the Technical Invention Award from the China Society of Automotive Engineers (as the first awardee), the First Prize of the Technology Invention Award from the China Electrotechnical Society (as the first awardee), the Natural Science Award from the Ministry of Education of China (as the second awardee), and the First Prize of the Beijing Municipal Science and Technology Invention Award (as the second awardee). He is the Founding Director of the Energy Storage System and Equipment Technical Committee of the China Electrotechnical Society. He serves as the Founding Executive Editor-in-Chief for the journal Green Energy and Intelligent Transportation. He is also the Founding Chair of the International Conference on Energy Storage and Electric Intelligent Vehicles (ICEIV) and has served as the Conference Chair since 2017 and will continue through 2025.
Academic Achievements
1. R. Xiong*, Y. Sun, C. Wang, J. Tian, X. Chen, H. Li* and Q. Zhang* ,"A data-driven method for extracting aging features to accurately predict the battery health", Energy Storage Materials, vol.57, pp. 460-470, March 2023.
2. R. Xiong*, K. Zhang, S. Qu, J. Tian and W. Shen,"A fast pre-heating method for lithium-ion batteries by wireless energy transfer at low temperatures", eTransportation, vol.16, pp.100227, April 2023
3. R. Xiong, J. Tian*, W. Shen, J. Lu and F. Sun,"Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy", Journal of Energy Chemistry, vol. 76, pp.404-413, January 2023.
4. J. Lu, R. Xiong*, J. Tian*, C. Wang and F. Sun,"Deep learning to estimate lithium-ion battery state of health without additional degradation experiments", Nature Communications, vol.14, pp. 2760, May 2023.
5. Z. Chen, R. Xiong*, B. Zhang, R. Yang, W. Shen, X. Yang, W. Sun, D. Yu and F. Sun, "Benign-to-Malignant Transition in External Short Circuiting of Lithium-ion Batteries ", Cell Reports Physical Science, vol.3, no.6, pp.100923, June 2022.
6. R. Xiong*, J. Huang, Y. Duan and W. Shen, “Enhanced Lithium-Ion Battery Model considering Critical Surface Charge Behavior,” Applied Energy, vol. 314, pp.118915, May 2022.
7. J. Tian, R. Xiong*, W.X Shen and J. Lu, "Data-driven battery degradationprediction: Forecasting voltage-capacity curvesusing one-cycle data,", EcoMat. e12213, April 2022.
8. Y. Duan, J. Tian*, J. Lu, C. Wang, W. Shen and R. Xiong*, "Deep Neural Network Battery Impedance Spectra Prediction by Only Using Constant-Current Curve", Energy Storage Materials, vol. 41, pp. 24-31, October 2021.
9. R. Xiong*, J. Wang, W. Shen, J. Tian and H. Mu, "Co-Estimation of State of Charge and Capacity for Lithium-ion Batteries with Multi-Stage Model Fusion Method", Engineering, vol. 7, no. 10, pp. 1469-1482, October 2021.
10. J. Tian, R. Xiong*, W. Shen, J. Lu and X. Yang, “Deep Neural Network Battery Charging Curve Prediction by Using 30 Points Collected in 10 Minutes”, Joule, vol. 5, no.6, pp. 1521-1534, June 2021.
11. J. Tian, R. Xiong*, W. Shen and J. Lu, "State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deeplearning enabled approach", Applied Energy, vol. 291, pp. 116812, June 2021.
12. J. Tian, R. Xiong*, W. Shen and F. Sun, "Electrode Aging Estimation and Open-Circuit Voltage Reconstruction for Lithium-Ion Batteries", Energy Storage Materials, vol. 37, pp. 283-295, May 2021.
13. R. Xiong, W. Sun, Q. Yu* and F. Sun, “Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles,” Applied Energy, vol. 279, pp.115855, Dec 2020.
14. R. Xiong*, Y. Pan, W.X. Shen, H.L. Li and F. C. Sun, "Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives", Renewable and Sustainable Energy Reviews, vol. 131, pp. 110048, Oct 2020.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. R. Xiong, Y. Zhang, H. He, X. Zhou, Michael Pecht, “A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries,” IEEE Transactions on Industrial Electronics, vol.65, no.2, pp.1526-1538, Feb 2018.
Honors and Awards
1. 2018~2020 Global Highly Cited Researchers from Clarivate Analytics
2. 2019 Most Cited Chinese Researchers from Elsevier
3. Chinese National 100 most Influential International Academic Papers (2015, 2016, 2017, 2019)；
4. First Prize of Natural Science Award of the Ministry of Education of China in 2018
5. First Prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018
6. 2018 Best Vehicular Electronics Paper Award
7. First Prize of China automobile industry science and Technology Progress Award
Part-time Academic Jobs
1. Associate Editor: IEEE Transactions on Intelligent Transportation Systems, IET Intelligent Transport Systems, IET Power Electronics
2. Editor board: Applied Energy, Electrical Engineering, International Journal of Green Energy, eTransportation
3. Conference Chair: International Symposium on Batteries and Management Technology (ISBM 2019), International Conference on Electric and Intelligent Vehicles (ICEIV 2019), International Conference on Electric and Intelligent Vehicles (ICEIV 2018), International Symposium on Electric Vehicles (ISEV2017)
4. Chairman: Battery System Subcommittee at IEEE PES Electric Vehicle Satellite Committee-China
5. IET Fellow, IEEE Senior member