26,500km Down the Pan-American Highway in an Electric Vehicle A Battery's Perspective

This paper presents a novel battery degradation model based on empirical data from the Racing Green Endurance project. Using the rainflow-counting algorithm, battery charge and discharge data from an electric vehicle has been studied in order to establish more reliable and more accurate predictions for capacity and power fade of automotive traction batteries than those currently available. It is shown that for the particular lithium-iron phosphate (LiFePO4) batteries, capacity fade is 5.8% after 87 cycles. After 3,000 cycles it is estimated to be 32%. Both capacity and power fade strongly depend on cumulative energy throughput, maximum C-rate as well as temperature.

• Record URL:
  • https://doi.org/10.4271/2012-01-0123
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21674191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Lorf, Clemens
  • Martinez-Botas, Ricardo F
  • Brandon, Nigel
• Conference:
  • SAE 2012 World Congress & Exhibition
  • Location: Detroit Michigan, United States
  • Date: 2012-4-24 to 2012-4-26
• Publication Date: 2012-4-16

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 19-26
• Serial:
  • SAE International Journal of Alternative Powertrains
  • Volume: 1
  • Issue Number: 1
  • Publisher: SAE International
  • ISSN: 2167-4191
  • EISSN: 2167-4205
  • Serial URL: https://www.sae.org/publications/collections/content/E-JOURNAL-14

Subject/Index Terms

• TRT Terms: Battery chargers; Electric batteries; Electric discharge; Electric vehicle charging; Electric vehicles
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01621992
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2012-01-0123
• Files: TRIS, SAE
• Created Date: Jan 5 2017 4:24PM