Rui Xiong

Rui Xiong, Ph.D, IET Fellow

Full Professor, Beijing Institute of Technology

Director, Joint Lab. Advanced Energy Storage and Application (AESA)

Executive Director, China Electrotechnical Society

2018 ~2023 Global Highly Cited Researchers from Clarivate Analytics

Google Citation: H index=89, Citations=27446

Tel./Fax.: + 86-10-6891 4070, Email:

Biography: 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 director of the Joint Laboratory for Advanced Energy Storage and Application, at 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 authored more than 200 journal papers,5 monographs and holds more than 60 patents. His research interests include Intelligent electrified vehicles, energy storage, batteries, and machine learning. Dr. Xiong is an IET Fellow. He has been continuously selected as the HIGHLY CITED RESEARCHER from Clarivate Analytics from 2018 to 2023. He was recipients of the First Prize of China Electrotechnical Society Technology Invention Award (1st awardee), Natural Science Award of the Ministry of Education of China (2nd awardee), Beijing Science and Technology Invention Award(2nd awardee) and China Automobile Industry Technology Invention Award (2nd awardee). He is the Founding Director of the Energy Storage System and Equipment Technical Committee of China Electrotechnical Society. He serves as Founding executive Editor-in-Chief for the new journal Green Energy and Intelligent Transportation, Associate Editors for the IEEE Transactions on Intelligent Transportation System and Applied Energy. He is also the Founding Chair of the International Conference on Energy storage and electric Intelligent Vehicles (ICEIV) and served as the Conference Chair for five consecutive times.

Work Experience

July 2019-Now


Sch. Mechanical Engineering, Beijing Inst. Technol

Nov 2017-Now

Adjunct Prof

D. EE, Swinburne University of Technology

Dec 2019-Jul 2020

Visiting Prof

D. Materials Science-Eng, Massachusetts Inst Technol

Sep 2014-Jun 2019

Associate Prof

S. Mechanical Engineering, Beijing Inst Technol

Sep 2012-Jan 2014

Visiting Scholar

C. Electrical - Computer, Univ Michigan-Dearborn

Research Projects (View More)

1. Intelligent Management and Optimization Control of Battery System for New Energy Vehicles, National Science Foundation for Excellent Young Scholars of China, PI, 2020.01-2022.12

2. Lithium-ion battery performance degradation mechanism and durability energy managemen, National Science Foundation of China, PI, 2019.01-2022.12

3. Integrated Analysis and Evaluation of Battery System Based on Bus Big Data, Ministry of Science and Technology of the People's Republic of China, PI, 2018.05-2021.1

4. Fault Tolerance and Adaptive Control of Fuel Cell Power System, Ministry of Science and Technology of the People's Republic of China, PI, 2018.05-2021.1

Books (View More)

1. XIONG Rui. The core algorithm of battery management system (Second Edition). Beijing: Mechanical Industry Press, 2021. [Chinese version] (View)

2. XIONG Rui. The core algorithm of battery management system. Beijing: Mechanical Industry Press, 2018. [Chinese version] (View)

3. XIONG Rui, SHEN Weixiang. Advanced Battery Management Technologies for Electric Vehicles, Wiley, 2019. (View)

4. XIONG Rui. Battery Management Algorithm for Electric Vehicles, Springer, 2019. (View)

5. Xiong Rui, He Hongwen. Integrated Management Foundation of Electric Vehicle Composite Power System. Beijing: Chemical Industry Press, 2019. [Chinese version] (View)

Peer-Reviewed Papers (View More)

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.

Awards and Honors (View more)

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

Society activities (View more)

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

Adress:No.5 South Zhongguancun St., Haidian District, Beijing,100081,China.   Copyright  ©  2020-   AESA  All Rights Reserved.
Links: Beijing Institute of Technology    Applied Energy    MIT-Ju Li Group    Chinese J. ME    Sch. Mech Engin