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Artificial intelligence in transportation: Advanced energy storage systems and vehicle powertrains

WMG - IEEE Research Workshop

Artificial intelligence in transportation: Advanced energy storage systems and vehicle powertrains

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(Registration closed)

Time: 9:45 am – 4:30 pm (BST), 4th July 2023

Location: Room M2, WBS teaching centre, University of Warwick, Gibbet Hill Rd, Coventry CV4 7AL

Online participation from within the UK is also welcome

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    • Energy storage system design, modelling and control
    • Vehicle powertrain design, control and energy management
    • Emerging technologies and prospective applications of data science /AI / ML in the energy and transportation sectors
    • Keynote speaker: Hujun YinLink opens in a new window, Professor of Artificial Intelligence, University of Manchester


    AI: How did it get here and how can it help?

    Abstract: AI has abruptly landed in the public domain, creating both excitement and fear. It will undoubtedly be interweaving into our society and increasing number of aspects of our life. Before its seemingly sudden emergence, researchers have long been working on advancing machine learning methods - a data driven approach to solving problems. Developments in optimisation techniques, classification paradigms, and data representation frameworks form the cores of nowadays AI techniques. This talk will briefly capture the main developments such as multi-objective optimisation, convolutional neural networks, generative models, manifold representations and elaborate how these techniques can be utilised to positively improve existing solutions in various technological sectors. Examples or projects on SF6 replacement, electric networks, surrogate CFD models, agriculture, industrial inspections will be illustrated.

    Biography: Hujun Yin is a Professor of Artificial Intelligence at the University of Manchester. His research areas include AI, machine learning, deep learning, signal/image processing, pattern recognition, time series modelling, bio-/neuro-informatics, and interdisciplinary applications. He has supervised over 30 PhD students and published over 200 peer-reviewed articles. Prof. Yin has received over £5 million funding from UK research councils, EPSRC, BBSRC, Innovate UK and industries across 30 projects. Many of his projects involve industries and local SMEs in developing cutting edge AI solutions to real-world problems, from energy challenges, recycling automation, precision agriculture to medical diagnosis. He has served or has been serving as an Associate Editor for IEEE Transactions on Neural Networks, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, and the International Journal of Neural Systems. He has also served as the General Chair or Programme Chair for a number of international conferences in AI, machine learning and data analytics. He is a member of the EPSRC Peer Review College, Chair of the IEEE CIS UK & Ireland Chapter, and a Turing Fellow of the Alan Turing Institute.

    Join us to:

    • Hear from thought leaders in the field
    • Contribute to the conversation in this growing area of research interest
    • Network across WMG, IEEE-CIS, -PES, -RAS, -CS, and the wider academic and industrial communities
    • Lunch will be provided onsite




    Reception open for onsite registration


    Opening and keynote speech


    Dr Truong Quang Dinh

    Associate professor-WMG, University of Warwick

    Welcome message



    Phil Whiffin

    Head-Energy Applications Group, WMG, University of Warwick

    Introduction of Energy Applications Group

    Dr Truong Quang Dinh


    Prof. Hujun Yin, Turing Fellow

    Professor- EEE, University of Manchester

    Keynote: AI: How did it get here and how can it help?



    Morning break


    Morning technical session


    Dr Quan Zhou

    Assistant Professor-ME, University of Birmingham

    Intelligent systems for electrified vehicle design and controls

    Dr Andy McGordon


    Dr Mohammad Moghimi Ardekani

    Associate Professor-DTA, Staffordshire University

    Feasibility studies on practicality of passive cooling for the thermal management of battery in electric vehicles


    Dr Kaibo Li

    Research Fellow-WMG, University of Warwick

    Battery thermal management for electric vehicles: initial achievements & perspectives


    Dr Tao Zhu

    Assistant professor-WMG, University of Warwick

    Using neural network to implement adaptive energy management of a battery-supercapacitor hybrid system




    Afternoon technical session


    Prof. Hongmei He

    Professor-SEE, University of Salford

    Cybersecurity of autonomous vehicles through monitoring power supply of ECUs

    Dr Shilei Zhou


    Dr Yuan Gao

    Lecturer-EEE, University of Leicester

    AI-aided drive system design, control, and maintenance for more-electric aircraft applications


    Dr Haijun Ruan

    Assistant Professor- C-ALPS, Coventry University

    Advanced diagnostics of battery degradation mechanisms with machine learning
    14:25-14:35 Afternoon break

    Chunyang Zhao

    Research postgraduate-WES, Technical University of Denmark

    Battery health prognosis in electric bike fleet: monitoring, prediction, and application (Online) Dr Tao Zhu

    Dr Zhongbei Tian

    Assistant Professor-TES, University of Birmingham

    Railway traction power network decarbonisation with renewable sources and energy storage

    Nikhil Kalamannil

    CTO-Neural Foundry LTD

    Transforming transportation warehouses: Automation and innovation with data science, AI, and ML in the energy and transportation sectors


    Dr Shilei Zhou

    Research Fellow-WMG, University of Warwick

    Challenges in vehicle dynamics control and how AI can help





    Organising committee: Dr. Tao Zhu, Assistant Professor, WMG; Dr. Shilei Zhou, Research Fellow, WMG; Dr. Truong Dinh, Associate Professor, WMG; Emellyne Forman, Programme Support, Energy GRP, University of Warwick
    Sponsors: Energy GRP, Cyber GRP, University of Warwick, IEEE UK & Ireland Section and Alan Turing Institute