Quantifying the Impacts of Electric Vehicle Travel Patterns on Battery Life Span

Electric vehicles (EVs) are a promising alternative to conventional vehicles. Several commercial EVs have already been in the market for a few years. However, greater adoption of EVs still faces several challenges. The concern about lifespan of EV batteries due to degradation is one of them. Lifespan information of populations of EV batteries is still scarce. Understanding the lifespan characteristics of EV batteries is significant for EV adoption, vehicle and/or battery resale market, and battery warranty strategy design. This study quantifies the impacts of EV travel patterns on the battery lifespan. Real-world household vehicle travel information extracted from the National Household Travel Survey (NHTS) of 2009 data. A microscopic traffic simulation model is built for the Indianapolis road network to generate speed profiles. Then, household vehicle travel patterns are obtained by matching the NHTS travel information (such as departure time, distance, travel time, purpose, etc.) with the simulated speed profiles. A semi-empirical battery degradation model is used to predict battery lifespan for a simulated population of vehicle travel patterns based upon the NHTS data. The results indicate that vehicle travel patterns, driving behavior (that is, average speed, speed deviation, etc.), and temperature have significant impacts on EV battery lifespan. The impact of vehicle travel patterns and driving behavior increases with decrease in temperature. For Indianapolis, 10% of batteries have lifespan less than 5.15 years, 50% have less than 7.57 years, and 90% have less than 9.65 years.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC80 Standing Committee on Alternative Transportation Fuels and Technologies.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Agrawal, Shubham
    • Liu, Xiaohui
    • Jin, Xing
    • Vora, Ashish
    • Shaver, Gregory
    • Peeta, Srinivas
    • Dietz, James
    • Pekny, Joseph
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 18p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01626511
  • Record Type: Publication
  • Report/Paper Numbers: 17-00601
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 27 2017 9:25AM