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Projects: Projects for Investigator
Reference Number EP/L001063/1
Title Intelligent Grid Interfaced Vehicle Eco-charging (iGIVE)
Status Completed
Energy Categories Energy Efficiency(Transport) 50%;
Other Power and Storage Technologies(Electricity transmission and distribution) 50%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr K Li
No email address given
Electronics, Electrical Engineering & Computer Science
Queen's University Belfast
Award Type Standard
Funding Source EPSRC
Start Date 01 December 2013
End Date 31 July 2017
Duration 44 months
Total Grant Value £855,111
Industrial Sectors Energy
Region Northern Ireland
Programme Energy : Energy
Investigators Principal Investigator Dr K Li , Electronics, Electrical Engineering & Computer Science, Queen's University Belfast (99.997%)
  Other Investigator Dr D M Laverty , Electronics, Electrical Engineering & Computer Science, Queen's University Belfast (0.001%)
Dr PC Luk , School of Engineering, Cranfield University (0.001%)
Dr A Foley , Mechanical and Aerospace Engineering, Queen's University Belfast (0.001%)
  Industrial Collaborator Project Contact , Höganäs AB, Sweden (0.000%)
Project Contact , Lotus Engineering (0.000%)
Project Contact , Northern Ireland Electricity (0.000%)
Project Contact , Semikron Ltd (0.000%)
Project Contact , Research Partner in China (0.000%)
Project Contact , Electricity Supply Board (ESB), Ireland (0.000%)
Project Contact , Scorpion Power System Ltd, China (0.000%)
Web Site
Abstract The UK government is determined to address the challenges of tackling climate change and maintaining energy security in a way that minimises costs and maximises benefits to the economy. Among all sources of CO2 emissions in the UK, the energy supply accounts for about 40%, followed by the transport for over 25%. To meet the target of cutting greenhouse gas emissions by 80% by 2050, large proportion of electricity generated from low carbon sources integrated with mass adoption of electric vehicles (EV) offer a great potential. Likewise, the Chinese 12th National Economic and Social Development Five-Year Plan has set the target of 3.5% reduction per unit of GDP in both energy use and carbon dioxide emissions, and identified new energy and clean energy vehicles among the seven priority industries in the next five years from 2012.It is clear that both countries are fully committed to a planned 'decarbonisation' of their respective energy systems. However, both face the challenges of planning and building the suitable infrastructure, and of managing the resources to ensure future power systems operate more reliably, more flexibly, and more economically, by integrating and coordinating the actions of all actors. It has been widely recognized that electric vehicles could both benefit from and help to drive forward the development of smart grids where renewable resources are widely and substantially employed. However, a number of technical challenges are still open for further exploitation.The proposed collaborative interdisciplinary research will investigate and develop an intelligent grid interfaced vehicle eco-charging (iGIVE) system for more reliable, more flexible and efficient, and more environmental friendly smart gird solutions for seamless integration of distributed low-carbon intermittent power generation and large number of EVs. To achieve this, a multilayer hierarchical power and information flow framework for monitoring and optimal control of the EV charging while minimising the volume of information passed to the utility control centers will be investigated first. Within this framework, a variable rate bi-directional high performance EV battery charging unit based on a patented technology will be developed, and battery management and optimal EV charging and discharging dispatching strategies will be investigated. Other issues associated to the charging stations, such as electromagnetic interference and harmonics generation and their impact on environment and electricity grid will also be studied. Finally, simulation platform will be built to investigate the interactions of EV-related different participants and their impact on the grid operations. A test bed to verify the design will be developed and a joint UK-China joint laboratory on smart grid and EV integration will be established, bringing together key academic and industry partners in smart grid and EV from UK and China. Both system operators and EV industryin the UK, China and other parts of the world will benefit considerably from the development of intelligent EV eco-charging systems when a large number of EVs are adopted by the public and greater amounts of renewable power are utilized, as they provide an adaptive and intelligent framework and EV charging systems to economically, efficiently and environment-friendly accommodate charging requirements as well as providing ancillary service to the grid integrated with larger amounts of intermittent renewable energy sources and thereby enable the decarbonisation of the electricity supply industry and the transport sector
Publications (none)
Final Report (none)
Added to Database 16/12/13