Dingsong Cui

Profile

I focus on analysing electric vehicle travel behaviour, charging demand characteristics, and their comprehensive impacts on transport systems and the environment.

Utilising large-scale real-world operational data, I systematically uncover usage patterns and charging habits across different cities and user groups, thoroughly exploring the influence of parking behaviour on charging demand and investigating practical applications of fast charging and battery swapping technologies.

Regarding charging loads and their impact on distribution networks, I propose coordinated charging and scheduling optimisation strategies to enhance grid stability and charging efficiency.

In terms of environmental impact, I employ life cycle assessment methods to quantify the contribution of electric vehicles to reducing traffic-related air pollution and greenhouse gas emissions, evaluating the environmental benefits of various vehicle types and technological pathways.

My research also covers battery state-of-health prediction, the impact of driving behaviour on non-exhaust emissions, and electrification pathways for heavy-duty trucks, forming a comprehensive framework from micro-level behaviour analysis to macro-level environmental benefit assessment. I emphasise the application of data fusion and machine learning techniques to provide scientific support for electric vehicle promotion and green transport policy development.

Research interests

• Understanding EV mobility
• Optimising EV charging scheme
• Assessing vehicle electrification benefits

Qualifications

• Ph.D., Mechanical Engineering, Beijing Institute of Technology.
• M.E., Vehicle Engineering, Beijing Institute of Technology.
• B.E., Vehicle Engineering, Beijing Institute of Technology