Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies

Simple item page
dc.contributor.authorFotouhi, Abbas
dc.contributor.authorAuger, Daniel J.
dc.contributor.authorPropp, Karsten
dc.contributor.authorLongo, Stefano
dc.date.accessioned2017-07-24T11:01:50Z
dc.date.available2017-07-24T11:01:50Z
dc.date.issued2017-07-06
dc.description.abstractIn this study, battery model identification is performed to be applied in electric vehicle battery management systems. Two case studies are investigated: nickel-metal hydride (NiMH), which is a mature battery technology, and lithium-sulphur (Li-S), a promising next-generation technology. Equivalent circuit battery model parameterisation is performed in both cases using the prediction-error minimisation algorithm applied to experimental data. Performance of a Li-S cell is also tested based on urban dynamometer driving schedule (UDDS) and the proposed parameter identification framework is applied in this case as well. The identification results are then validated against the exact values of the battery parameters. The use of identified parameters for battery state-of-charge (SOC) estimation is also discussed. It is shown that the set of parameters needed can change with a different battery chemistry. In the case of NiMH, the battery open circuit voltage (OCV) is adequate for SOC estimation whereas Li-S battery SOC estimation is more challenging due to its unique features such as flat OCV–SOC curve. An observability analysis shows that Li-S battery SOC is not fully observable and the existing methods in the literature might not be applicable for a Li-S cell. Finally, the effect of temperature on the identification results and the observability is discussed by repeating the UDDS test at 5, 10, 20, 30, 40 and 50°C.en_UK
dc.identifier.citationFotouhi A, Auger DJ, Propp K, Longo S. (2017) Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies. IET Power Electronics, Volume 10, Issue 11, 2017, pp. 1289-1297en_UK
dc.identifier.cris17944268
dc.identifier.issn1755-4535
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12228
dc.language.isoenen_UK
dc.publisherThe Institution of Engineering and Technologyen_UK
dc.rightsAttribution 3.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleElectric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studiesen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Electric_vehicle_battery_parameter_identification_and_SOC_observability-2017.pdf
Size:
4.36 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)