Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating real-life performance of lithium-ion battery packs in electric vehicles
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Applied Electrochemistry.ORCID iD: 0000-0001-5748-0226
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Applied Electrochemistry.ORCID iD: 0000-0002-9392-9059
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Applied Electrochemistry.ORCID iD: 0000-0001-9203-9313
2012 (English)In: ECS Transactions 2012, Electrochemical Society, 2012, Vol. 41, no 32, 1-11 p.Conference paper, Published paper (Refereed)
Abstract [en]

In regard to the increasing market launch of plug-in hybrid electric vehicles (PHEVs), understanding battery pack performance under electric vehicle (EV) operating conditions is essential. As lifetime still remains an issue for battery packs, it is a necessity to monitor the battery pack's state-of-health (SOH) on-board. Standard performance tests for health evaluation do not apply since operation interruptions and additional testing equipment are beyond question during ordinary EV usage. We suggest a novel methodology of performance estimation from real-life battery data. On the basis of battery pack data collected during PHEV operation, a support vector machine model is constructed that serves as source for performance evaluation figures. The SOH indicator "10 s discharge resistance" as known from hybrid pulse power characterization (HPPC) tests is chosen to exemplify how performance degradation can be followed over a year.

Place, publisher, year, edition, pages
Electrochemical Society, 2012. Vol. 41, no 32, 1-11 p.
Series
ECS Transactions, ISSN 1938-5862 ; 41
Keyword [en]
Discharge resistance, Lithium-ion battery, Performance degradation, Performance estimation, Plug-in hybrid electric vehicles, Real-life performance, Standard performance, Support vector machine models, Electrochemical properties, Electric vehicles
National Category
Other Chemical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-131338DOI: 10.1149/1.3698126Scopus ID: 2-s2.0-84879352265ISBN: 978-160768331-5 (print)OAI: oai:DiVA.org:kth-131338DiVA: diva2:656384
Conference
Challenges for Transportation Batteries - 220th ECS Meeting; Boston, MA; United States; 9 October 2011 through 14 October 2011
Funder
StandUp
Note

QC 20131015

Available from: 2013-10-15 Created: 2013-10-14 Last updated: 2016-04-25Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Klass, VerenaBehm, MårtenLindbergh, Göran

Search in DiVA

By author/editor
Klass, VerenaBehm, MårtenLindbergh, Göran
By organisation
Applied Electrochemistry
Other Chemical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 91 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf