UKERC Energy Data Centre: Projects

Projects: Projects for Investigator
UKERC Home >> UKERC Energy Data Centre >> Projects >> Choose Investigator >> All Projects involving >> EP/D079527/1
 
Reference Number EP/D079527/1
Title Advanced Cell State of Function Models for HEV operation
Status Completed
Energy Categories ENERGY EFFICIENCY(Transport) 20%;
OTHER POWER and STORAGE TECHNOLOGIES(Energy storage) 80%;
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 DA Stone
No email address given
Electronic and Electrical Engineering
University of Sheffield
Award Type Standard
Funding Source EPSRC
Start Date 01 December 2006
End Date 30 November 2008
Duration 24 months
Total Grant Value £147,957
Industrial Sectors Energy
Region Yorkshire & Humberside
Programme Process Environment and Sustainability
 
Investigators Principal Investigator Dr DA Stone , Electronic and Electrical Engineering, University of Sheffield (99.999%)
  Other Investigator Dr CM Bingham , School of Engineering, University of Lincoln (0.001%)
  Industrial Collaborator Project Contact , International Lead Zinc Research Organization (ILZRO), USA (0.000%)
Project Contact , CMP Batteries Ltd (0.000%)
Project Contact , Atraverda Ltd (0.000%)
Web Site
Objectives
Abstract Increasingly, electric and hybrid electric vehicles are being seen as a way to both lower emissions and raise vehicle efficiency for evermore energy concious consumers. Furthermore, the increasing trend towards more electric vehilces, with safety critical applications becoming dependant on electric actuation (brakes, steering etc), is highlighting the need for reliable and accurate prediction of state-of-charge, and state-of-health of the onboard battery pack, to ensure the pack will not failunder emergency conditions. The proposed work therefore underpins all advances within the more electric vehicle.The principle aim of this research is therefore to establish both computationally and memory efficient, accurate cell state-of-charge (SoC) and state-of-health (SoH) models, to underpin the estimation of cell state-of-function (SoF) for the next generation of vehicle batteries, with hybrid electric vehicle (HEV) requirements and valve regulated lead acid (VRLA) cells being used as atechnology focus. Furthermore, the findings will be embodied in a technology demonstrator, a stand-alone hardware cell SoC / SoH / SoF monitor, which will be representative in terms of mass market technology
Publications (none)
Final Report (none)
Added to Database 01/01/07