Professor Li Keqiang received his Bachelor of Engineering degree from the Department of Automotive Engineering at Tsinghua University in 1985. He subsequently obtained his Master of Engineering and Ph.D. degrees from the Department of Automotive Engineering at Chongqing University in 1988 and 1995, respectively. His international experience includes serving as a Visiting Scholar at the Tokyo University of Agriculture and Technology, The University of Tokyo, and RWTH Aachen University in Germany. He also held positions as a Researcher at the National Traffic Safety and Environment Laboratory in Japan and as a Guest Researcher at the Body Engineering Center of Isuzu Motors Ltd.

Professor Li served as the Chair of the Department of Automotive Engineering at Tsinghua University from 2007 to 2016. Currently, he is an Academician of the Chinese Academy of Engineering (CAE), Director of the State Key Laboratory of Automotive Safety and Energy, a Changjiang Distinguished Professor appointed by the Ministry of Education, and Director of the Center for Intelligent and Connected Vehicles and Transportation at Tsinghua University. Additionally, he serves as the Chief Scientist of the National Intelligent and Connected Vehicle Innovation Center, Leader of the Intelligent and Connected Vehicle Promotion Expert Group of the Ministry of Industry and Information Technology (MIIT), Leader of the Expert Group for the Beijing Intelligent Connected Driving Technology Innovation Project, and is a Fellow and Executive Council Member of the China Society of Automotive Engineers (China-SAE).

Professor Li is the proponent and promoter of the "Chinese Solution" technological framework for Intelligent and Connected Vehicles (ICVs). He has long been dedicated to the dynamic design and control of automotive intelligent driving systems. He has successfully overcome three core technical challenges: "Control Synergy, Architecture Sharing, and Vehicle-Cloud Integration." He led the development of three generations of system devices—"Intelligent Safety Driving," "Intelligent Integrated Driving," and "Intelligent Connected Driving"—and achieved their industrial application. His contributions have been recognized with numerous prestigious awards, including two National Technological Invention Awards (Second Class), one National Science and Technology Progress Award (Second Class), and one Special Award of the China Automotive Industry Science and Technology Progress Award.

1980 – 1985: Bachelor of Engineering, Department of Automotive Engineering, Tsinghua University

1985 – 1988: Master of Engineering, Department of Automotive Engineering, Chongqing University

1991 – 1995: Doctor of Engineering, Department of Automotive Engineering, Chongqing University

1988.04 – 1992.01: Lecturer, Department of Automotive Engineering, Chongqing University

1992.01 – 1994.01: Guest Researcher, Body Engineering Center, Isuzu Motors Ltd., Japan

1994.01 – 1997.10: Associate Professor / Professor, Department of Automotive Engineering, Chongqing University

1997.10 – 1998.10: Visiting Scholar, Vehicle Dynamics and Control Laboratory, Tokyo University of Agriculture and Technology, Japan

1998.11 – 2000.11: STA/JSPS Fellow, National Traffic Safety and Environment Laboratory, Japan

2003.10 – 2004.01: Visiting Professor, Institute for Automotive Engineering (ika), RWTH Aachen University, Germany

2007.02 – 2007.05: Guest Professor, Institute of Industrial Science, The University of Tokyo, Japan

2007.06 – 2016.07: Chair, Department of Automotive Engineering, Tsinghua University

2019.03 – Present: Director, State Key Laboratory of Intelligent Green Vehicle and Traffic (formerly State Key Laboratory of Automotive Safety and Energy)

2000.12 – Present: Professor, Department of Automotive Engineering / School of Vehicle and Mobility, Tsinghua University

• Vehicle Theory (Undergraduate Course)

• Vehicle Control Engineering (Graduate Course)

Research Interests

1. Intelligent Vehicles and Intelligent Transportation Systems (ITS)

• Application of modern control theory and AI technology in intelligent vehicles.

• Vehicle driving environment perception technologies and methods.

• Modeling and simulation technology for intelligent vehicle dynamic systems.

• Intelligent vehicle platoon cooperative control systems.

• Vehicle safety and energy-saving control based on intelligent connectivity.

• Design and control of cloud control systems for intelligent and connected vehicles.

2. Electric Vehicle (EV) Dynamics and Control

• Application of modern control theory in EV vehicle control systems.

• EV system modeling and simulation technology.

• Dynamics state estimation and multi-objective cooperative control for distributed drive vehicles.

3. Vehicle Noise and Vibration Analysis and Control

• Vehicle interior noise generation mechanisms and noise reduction technologies.

• Vehicle noise and vibration analysis and evaluation based on advanced methods (acoustic holography, sound intensity, acoustic-solid coupling experimental modal analysis).

• Active noise and vibration control technologies (active suspension, electronic mufflers, active interior noise control systems).

Selected Grants

• National Key R&D Program: "Research on Key Fundamental Issues of Perception, Decision-making, and Control for Intelligent Electric Vehicles"

• National Natural Science Foundation of China (Key Project): "Longitudinal Dynamic Behavior and Cooperative Control Methods for Intelligent Vehicles"

• National 973 Program: "Research on Key Fundamental Issues of High-Performance Distributed Drive Electric Vehicles"

• National 863 Program: "Vehicle Intelligent Control Technology Based on Internet of Vehicles (IoV)"

• International Cooperation Project: "Research and Demonstration Application of Vehicle-Grid Intelligent Interaction Systems"

• Industry Cooperation Project: "Product Application Development for Automotive Intelligent Safety and Energy-Saving Electronic Control Systems"

Professor Li has published over 260 papers in domestic and international journals, with over 220 indexed by SCI/EI. Selected publications include:

1. Smoothing Traffic Flow via Control of Autonomous Vehicles. IEEE Internet of Things Journal, 2020, Vol.7, No.5

2. Coordinated formation control for intelligent and connected vehicles in multiple traffic scenarios. IET Intell. Transp. Syst. 2020: 1–15

3. Reducing time headway for platooning of connected vehicles via V2V communication. Transportation Research Part C-Emerging Technologies, 2019, Vol.102

4. Robust gain-scheduling automatic steering control of unmanned ground vehicles under velocity-varying motion. Vehicle System Dynamics, 2019, Vol.57, No.4

5. Robust Combined Lane Keeping and Direct Yaw Moment Control for Intelligent Electric Vehicles with Time Delay. International Journal of Automotive Technology, 2019, Vol.20, No.2

6. Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections. IEEE Transactions on Intelligent Transportation Systems, 2019, Vol.20, No.4

7. Distributed Platoon Control Under Topologies with Complex Eigenvalues: Stability Analysis and Controller Synthesis. IEEE Transactions on Control System Technology, 2019, Vol.27, No.1

8. Adaptive coordinated collision avoidance control of autonomous ground vehicles. Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 2018, Vol.232, No.9

9. Optimal Design of Single-Mode Power-Split Hybrid Tracked Vehicles. Journal of Dynamic Systems Measurement and Control-Transactions of the ASME, 2018, Vol.140, No.7

10. Minimize the Fuel Consumption of Connected Vehicles Between Two Red-Signalized Intersections in Urban Traffic. IEEE Transactions on Vehicular Technology, 2018, Vol.67, No.10

11. Robust Longitudinal Control of Multi-Vehicle Systems-A Distributed H-Infinity Method. IEEE Transactions on Intelligent Transportation Systems, 2018, Vol.19, No.9

12. Predictive Energy Management Strategy for Fully Electric Vehicles Based on Preceding Vehicle Movement. IEEE Transactions on Intelligent Transportation Systems, 2017, Vol.18, No.11

13. Distributed Model Predictive Control for Heterogeneous Vehicle Platoons under Unidirectional Topologies. IEEE Transactions on Control System Technology, 2017, Vol.25, No.3

14. Multiple model switching control of vehicle longitudinal acceleration for platoon-level automation. IEEE Transactions of Vehicular Technology, 2016, Vol.65, No.6

15. Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies. IEEE Transactions on Intelligent Transportation Systems, 2016, Vol.17, No.1

16. Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control. IEEE Transactions on Control System Technology, 2016, Vol.24, No.4

17. Coordinated Adaptive Cruise Control System with Lane-Change Assistance. IEEE Transactions on Intelligent Transportation Systems, 2015, Vol.16, No.5

18. Terminal Sliding Mode Control of Automated Car-following System without Reliance on Acceleration Information. Mechatronics, 2015, Vol.30

19. Mechanism of Vehicular periodic operation for optimal fuel economy in free-driving scenario. IET Transactions on Intelligent Transportation Systems, 2015, Vol.9, No.3

20. Optimum Tyre Force Distribution for Four-wheel-independent Drive Electric Vehicle with Active Front Steering. International Journal of Vehicle Design, 2014, Vol.65, No.4

21. RFID-Based Vehicle Positioning and Its Applications in Connected Vehicles. 2014, Vol.14, No.3

22. An adaptive longitudinal driving assistance system based on driver characteristics. IEEE Transactions on Intelligent Transportation Systems, 2013, Vol.13, No.1

23. Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function. International Journal of Vehicle System Dynamics, 2013, Vol.51, No.1

24. Minimum fuel control strategy in automated car-following scenarios. IEEE Transactions on Vehicular Technology, 2012, Vol.61, No.3

25. Intelligent Environment-Friendly Vehicles: Concept and Case Studies. IEEE Transactions on Intelligent Transportation Systems, 2012, Vol.13, No.1

26. A curving ACC system with coordination control of longitudinal car-following and lateral stability. International Journal of Vehicle System Dynamics, 2012, Vol.50, No.7

27. Model Predictive Multi-Objective Vehicular Adaptive Cruise Control. IEEE Transactions on Control Systems Technology, 2011, Vol.19, No.3

28. Modeling and Verification of Heavy-duty Truck Driver’s Car-Following Characteristics. International Journal of Automotive Technology, 2010, Vol.11, No.1

29. Driving Simulation Platform Applied to Develop Driving Assistance Systems. Journal of IET Intelligent Transportation System, 2010, Vol.4, No.2

30. Nonlinear decoupling control of heavy-duty truck stop and go cruise system. International Journal of Vehicle System Dynamics, 2009, Vol. 47, No.1

31. Modelling and simulation study on application of sliding-mode control for an active anti-roll system in a passenger car with air suspension. International Journal of Vehicle Design, 2009, Vol. 49, No.4

32. Feedback linearization tracking control of vehicle longitudinal acceleration under low-speed conditions. Journal of Dynamic Systems Measurement and Control-Transactions of the ASME, 2008, Vol.130, No.5

33. Generation method for a two-dimensional random array for locating noise sources on moving vehicles. International Journal of Noise Control Engineering, 2008, Vol.202, No.17

34. Hierarchical switch control of longitudinal acceleration with large uncertainties. International Journal of Automotive Technology, 2007, Vol.8, No.4

35. Study on Stop & Go cruise control of heavy-duty vehicles. Transactions of JSAE, Vol.37, No.2

36. Modeling and control of a nonlinear dynamic system for heavy-duty trucks. International Journal of Automobile Engineering, 2006, Vol.220, Part D

37. Hierarchical switching control of multiple models based on robust control theory. ACTA Automatica Sinica, 2006, Vol.32, No.3

38. Human-simulating vehicle steering control algorithm. Chinese Journal of Mechanical Engineering (English Edition), 2006, Vol.19, No.2

39. An Empirical Model for Longitudinal Tire-Road Friction Estimation. SAE Special Publications, NO. 01-1082, 2004, USA.

40. Development of An Active Muffler for Medium-Duty Diesel Vehicles Considering Thermal Influence and Control Trackability. International Journal of Noise Control Engineering, 2003, Vol.51, No.2

41. Tire noise analysis during vehicle acceleration running with acoustical holography. Transactions of the Japan Society of Mechanical Engineers, Part C, 2003, Vol.69, No. 4.

42. Development of the Adaptive Control Simulation System for Vehicle Exhaust Noise. International Journal of JSAE Review, 2001, Vol.22, No.2

1. National Science and Technology Progress Award, Second Class (2018): "Key Technology and Industrialization of Intelligent Driving Assistance Systems Based on Shared Architecture"

2. National Technological Invention Award, Second Class (2013): "New Technology and Application of Automotive Intelligent Safety Based on Environment Perception and Control Synergy"

3. National Technological Invention Award, Second Class (2010): "Comprehensive Identification and Control Technology for Moving Vehicle Noise"

4. National Innovation Award (2017)

5. China Automotive Industry Science and Technology Progress Award, Special Award (2020): "Key Technology and Application of Cloud Control Systems for Intelligent and Connected Vehicles"

6. Ministry of Education Technological Invention Award, First Class (2012): "New Technology and Engineering Application of Automotive Intelligent Safety Systems"

7. China Automotive Industry Science and Technology Progress Award, First Class (2010): "Development and Industrial Application of Changan Medium Hybrid Sedan Technology Platform"

8. China Automotive Industry Science and Technology Progress Award, First Class (2009): "Theory, Key Technology, and Engineering Application of Low-Noise Vehicles"

9. Ministry of Education Science and Technology Progress Award, Second Class (2008): "New Technology for Independent Development of Hybrid Electric Vehicle Control Systems and Engineering Application"

10. China Automotive Industry Excellent Scientific and Technological Talent Award (2005)

11. Tsinghua University "Good Mentor and Helpful Friend" Award (2005, 2010)