AI-powered, Smart, and Sustainable EV/e-bike Charging
About the Project
With the increasing popularity of electric vehicles/bikes (EV/e-bikes), the demand for their efficient and sustainable charging stations is more critical than ever. This PhD project aims to develop an integrated system that not only monitors and manages the operation of EV/e-bike charging stations with energy supply from solar energy, but also ensures their safety and sustainability. The project brings together cutting-edge technologies such as remote monitoring, generative AI, machine learning, and eco-accounting to enhance the efficiency and sustainability of e-bike charging stations.
To achieve this goal, the candidate is expected to conduct the following, or some of the following subject to the candidate’s background:
- Intelligent remote energy monitoring.
- AI-powered fault detection and diagnostics.
- Predictive maintenance through machine learning.
- Environmental impact assessment.
This PhD research is part of a project supported by the European Commission’s Horizon Europe programme.
Supervisors
Dr Wenjie Peng - wenjie.peng@ntu.ac.uk
Professor Daizhong Su - daizhong.su@ntu.ac.uk
Entry qualifications
English language requirements: If English isn't your first language, you will need an overall IELTS score of 6.5 with minimum sub-scores of 6.0 in all component sections.
Funding Notes
This is a funded PhD studentship project for UK and International applicants. The studentship covers a 3 year stipend and fees.
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