Projects
Projects: Projects for Investigator |
||
| 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 | |
