Research output per year
Research output per year
Personal profile
Biography
Ji Li was awarded a PhD in Mechanical Engineering in 2020 from University of Birmingham, United Kingdom. Prior to being appointed to this position, he spent two years as a Postdoctoral Research Fellow and one year as a Postdoctoral Teaching Fellow at the University of Birmingham.
He has been instrumental in the successful delivery of several government and industry research projects (e.g., EP/J00930X/1, EP/N021746/1, Innovate UK 102253) and established expertise in dedicated AI systems for automotive engineering. He has received major grants from several OEMs and research institutes e.g., BYD Auto Ltd, Jiangsu Industry Technology Research Institute.
He has authored over 30 peer-reviewed journal papers, several conference papers, and two book chapters in the field of Connected and Autonomous Vehicles with aspects of multi-objective control, human-machine interaction, and cyber-physical systems.
Research interests
His research focus covers three key domains: multi-objective control, human-machine interaction, and cyber-physical systems, all oriented toward achieving net-zero and trustworthy engineering solutions. The overarching goal is to contribute to developing future vehicles that are not only zero-emission but also trustworthy and adeptly leverage digitalization at various operational levels. The research seeks to address challenges and pave the way for innovative solutions in the dynamic landscape of automotive technology at four observation scales:
Lv.1 Component Level: engine/battery/fuel cell
- Physics/data-enhanced robust modelling
- Transient calibration and autonomous calibration
Lv.2 Powertrain Level: series/parallel/power-split hybrid
- Many-objective modular design
- Learning-based energy management
Lv.3 Vehicle Level: driver/vehicle/road
- Driving behaviour identification and recognition
- Human-machine interaction and shared control
Lv.4 Fleet Level: platoon/traffic
- Car-following behaviour characterization
- Mixed vehicular platooning
Current Project:
- Development of Dual-mode Engine AI Emission Prediction and Knock Detection, 2022, BYD Auto Company
- Research on Real-time Optimisation System for Plug-in Hybrid Electric Vehicle based on Artificial Intelligence Digital Twin Technology, 2020, Jiangsu Industry Technology Research Institute
- AI Strategy for Hybrid Engine Development, 2020, BYD Auto Company
Industrial Partnership:
- BYD Auto Company, Mahler, Changan UK, London Electric Vehicle Company, Joint Research Centre, Lotus Cars Limited, etc.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Ji Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A Review on AI Algorithms for Energy Management in E-Mobility Services
Yan, S., Shah, M. H., Li, J., O’Connor, N. & Liu, M., 25 Jan 2024, 2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 8 p. 10397371. (Conference on Vehicle Control and Intelligence (CVCI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
A systematic review on sustainability assessment of internal combustion engines
Liu, H., Yu, S., Wang, T., Li, J. & Wang, Y., 20 Apr 2024, In: Journal of Cleaner Production. 451, 141996.Research output: Contribution to journal › Article › peer-review
Open AccessFile58 Downloads (Pure) -
Data-driven Modelling for EV Battery State of Health Estimation using SFS-PCA Learning
Abdillah, A. A., Zhang, C., Sun, Z., Li, J., Xu, H. & Zhou, Q., 25 Jan 2024, 2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 6 p. 10397248. (Conference on Vehicle Control and Intelligence (CVCI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Driver-Centric Data-Driven Model Predictive Vehicular Platoon With Longitudinal-Lateral Dynamics
Wu, Y., Zuo, Z., Wang, Y., Han, Q., Li, J. & Xu, H., 27 May 2024, (E-pub ahead of print) In: IEEE Transactions on Intelligent Transportation Systems. 10539925.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Fine-tuning Transfer Learning for Knock Intensity Modeling of an Engine Fuelled with High Octane Number Gasoline
Tan, G., Li, J., Li, Y., Liu, Z. E., Xu, L., Xu, H. & Shuai, S., 25 Jan 2024, 2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 6 p. 10397125. (Conference on Vehicle Control and Intelligence (CVCI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Development of Dual-mode Engine AI Emission Prediction and Knock Detection
13/02/23 → 12/11/26
Project: Industry
-
Cooperative study of key technologies for virtual development of DHT hybrid powertrain system
1/06/22 → 30/12/24
Project: Research
-
Collaborative research on intelligent optimization of vehicle electric systems
Tsinghua University Suzhou Automotive Research Institute
1/05/22 → 30/04/23
Project: Research