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  Management of Electric Vehicles through the Internet of Vehicles


   Department of Mechanical Engineering

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  Dr Quan Zhou  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

The future vehicles will be connected, automated, shared and electrified (CASE) through the emerging Internet of Vehicles. This PhD project is a fantastic opportunity to work with the expert team in the Birmingham CASE Automotive Research and Education Centre which is a cross-campus research institute in a global top 100 university. The work aims to make a timely contribution to zero-emission transport through advanced modelling and control of large-scale electric vehicle platoons. The research will be conducted based on the state-of-the-art X-in-the-loop testing facility (e.g., AVL Testbed.Connect, AVL PUMA, ETAS LABCAR, IPG-CarMaker) and the research outcome will include an open-source 3D driving environment and onboard control software for real-time multi-objective (energy economy, durability) optimal control. At the core of this research is the development of a multi-agent reinforcement learning algorithm which is capable of environment perception and decision-making from two main dimensions, i.e., a deep inspection of vehicle powertrain systems (e.g., battery system or fuel cell system) and a global interaction with the traffic infrastructure and the vehicles driving around. We will examine the robustness, reliability, and feasibility of the developed models and algorithms with industry partners.

Computer Science (8) Engineering (12)

Funding Notes

Excellent candidates will be considered for our school scholarship. For outstanding applicants from China, we can support your application for the CSC scholarship. You are also welcome to bring your own research proposal for discussion on potential funding opportunities.

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