Dr Ji Li BEng, PhD, MIEEE

Dr Ji Li

Department of Mechanical Engineering
Research Fellow

Contact details

Birmingham CASE Automotive Research and Education Centre
School of Engineering
University of Birmingham
B15 2TT

Dr Ji Li is currently a research fellow working on vehicle electrification, personalization, and digitalization at Birmingham CASE Automotive Research and Education Centre.

Ji has awarded the PhD degree in Mechanical Engineering in 2020 at the University of Birmingham, where the thesis title is Driver-oriented Intelligent Control Methodology for Series-Parallel Hybrid Electric Vehicles. During the PhD study, he was involved in building the UoB’s first driver-in-the-loop (DiL) platform for automotive research with £120k investment from EPSRC.

Ji has published over 20 peer-rereferred research papers in scientific journals as well as conference papers, and book chapters in the fields of electrified powertrain design, energy management optimization, driving behaviour modelling, cyber-physical data fusion, and digital twinning of power machines.


PhD in Mechanical Engineering, University of Birmingham, 2020.


Ji Li received the BEng from Chongqing University of Technology, China, in 2015 and was awarded the PhD in Mechanical Engineering in 2020 from the University of Birmingham, United Kingdom.

Ji has been carrying out postdoctoral research at the University of Birmingham on an industrial-funded research fellowship position in vehicle electrification, personalization, and digitalization. He has received major grants from several OEMs and research institutes e.g., BYD Auto Ltd, Jiangsu Alternative Energy Vehicle Research Institute, and Tsinghua University Suzhou Automotive Research Institute.

Currently, Ji is devoted to the research on powertrain decarbonization, human-machine interaction system and cyber-physical data fusion. He has published over 20 peer-rereferred research papers in scientific journals as well as conference papers, and book chapters. As of April 2022, the Google Scholar citations are 353, and H-index is 11.


Co-supervisor of final year projects.

Assisting courses

  • Advanced Fuels and Powertrain Systems
  • Sustainable Energy and Environment
  • Engineering Mathematics
  • Vehicle Engineering

Postgraduate supervision

Co-supervising PhD students in intelligent vehicle technology with Professor Hongming Xu. Full-time PhD applicants and visiting professors/scholars/students are welcome in the following areas:

  • Evolutionary multi-objective optimisation for online/offline optimisation of vehicle system;
  • Reinforcement Learning for real-time advanced decision making of vehicle systems;
  • Model-based predictive control for energy management of hybrid vehicles;
  • Human factors for driving safety and economy;
  • Information fusion and global energy efficiency optimisation of connected autonomous vehicles;

Excellent PhD applicants will have the opportunity to be sponsored by the university’s PhD scholarship. We can support application on external funding (e.g. Newton/EPSRC Fellowship, EPSRC StudentshipCSC PhD Scholarship).

Other activities

  • Invited Reviewer for IEEE Trans. on Systems, Man, and Cybernetics, IEEE Trans. Fuzzy Systems, IEEE Trans. Transportation Electrification, IEEE Trans. Industrial Electronics, Applied Energy, IET Intelligent Transportation Systems, IET Electrical Systems in Transportation, Complexity, and several international conferences.
  • Editor Assistant for Applied Energy and International Journal of Powertrains; Guest Editor for Chemosphere and International Journal of Powertrains; Technical Track Chair for ITEC 2021 and ITEC 2022; Technical Chair for International Workshop on the Bees Algorithm and Its Applications 2022.


Recent publications


Li, J, Liu, K, Zhou, Q, Meng, J, Ge, Y & Xu, H 2022, 'Electrothermal dynamics-conscious many-objective modular design for power-split plug-in hybrid electric vehicles', IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/TMECH.2022.3156535

Li, J, Zhou, Q, Williams, H, Xu, P, Xu, H & Lu, G 2022, 'Fuzzy-tree-constructed data-efficient modelling methodology for volumetric efficiency of dedicated hybrid engines', Applied Energy, vol. 310, 118534. https://doi.org/10.1016/j.apenergy.2022.118534

Li, J, Wu, D, Mohammadsami Attar, H & Xu, H 2022, 'Geometric neuro-fuzzy transfer learning for in-cylinder pressure modelling of a diesel engine fuelled with raw microalgae oil', Applied Energy, vol. 306, no. Part A, 118014. https://doi.org/10.1016/j.apenergy.2021.118014

Zhou, Q, Li, Y, Zhao, D, Li, J, Williams, H, Xu, H & Yan, F 2022, 'Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression', Applied Energy, vol. 305, 117853. https://doi.org/10.1016/j.apenergy.2021.117853

Li, J, Zhou, Q, Williams, H, Xu, H & Du, C 2021, 'Cyber-physical data fusion in surrogate-assisted strength pareto evolutionary algorithm for PHEV energy management optimization', IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2021.3121287

Li, J, Zhou, Q, He, Y, Williams, H, Xu, H & Lu, G 2021, 'Distributed cooperative energy management system of connected hybrid electric vehicles with personalized non-stationary inference', IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2021.3127142

Zhou, Q, Wang, C, Sun, Z, Li, J, Williams, H & Xu, H 2021, 'Human-knowledge-augmented Gaussian process regression for state-of-health prediction of lithium-ion batteries with charging curves', Journal of Electrochemical Energy Conversion and Storage, vol. 18, no. 3, 030907 . https://doi.org/10.1115/1.4050798

Li, J, Gu, Y, Wang, C, Liu, M, Zhou, Q, Lu, G, Pham, DT & Xu, H 2021, 'Pedestrian-aware supervisory control system interactive optimization of connected hybrid electric vehicles via fuzzy adaptive cost map and Bees Algorithm', IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2021.3124606

Li, J, Zhou, Q, He, Y, Williams, H & Xu, H 2020, 'Driver-identified supervisory control system of hybrid electric vehicles based on spectrum-guided fuzzy feature extraction', IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.2972843

Li, Z, Zhou, Q, Zhang, Y, Li, J & Xu, H 2020, 'Enhanced intelligent proportional-integral-like fuzzy knowledge–based controller using chaos-enhanced accelerated particle swarm optimization algorithm for transient calibration of air–fuel ratio control system', Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 234, no. 1, pp. 39-55. https://doi.org/10.1177/0954407019862079

Shuai, B, Zhou, Q, Li, J, He, Y, Li, Z, Williams, H, Xu, H & Shuai, S 2020, 'Heuristic action execution for energy efficient charge-sustaining control of connected hybrid vehicles with model-free double Q-learning', Applied Energy, vol. 267, 114900, pp. 1-11. https://doi.org/10.1016/j.apenergy.2020.114900

Zhou, Q, He, Y, Zhao, D, Li, J, Li, Y, Williams, H & Xu, H 2020, 'Modified particle swarm optimization with chaotic attraction strategy for modular design of hybrid powertrains', IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2020.3014688

He, Y, Zhou, Q, Makridis, M, Mattas, K, Li, J, Williams, H & Xu, H 2020, 'Multiobjective co-optimization of cooperative adaptive cruise control and energy management strategy for PHEVs', IEEE Transactions on Transportation Electrification, vol. 6, no. 1, 9000888, pp. 346 - 355. https://doi.org/10.1109/TTE.2020.2974588

He, Y, Wang, C, Zhou, Q, Li, J, Makridis, M, Williams, H, Lu, G & Xu, H 2020, 'Multiobjective component sizing of a hybrid ethanol-electric vehicle propulsion system', Applied Energy, vol. 266, 114843, pp. 1-8. https://doi.org/10.1016/j.apenergy.2020.114843

He, Y, Ciuffo, B, Zhou, Q, Makridis, M, Mattas, K, Li, J, Li, Z, Yan, F & Xu, H 2019, 'Adaptive Cruise Control Strategies Implemented on Experimental Vehicles: A Review', IFAC-PapersOnLine, vol. 52, no. 5, pp. 21-27. https://doi.org/10.1016/j.ifacol.2019.09.004

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