Optimal experimental design for battery aging studies

Joel Forman, Scott Moura, Jeffrey Stein, Hosam Fathy

Research output: Contribution to conferencePaper

Abstract

□Presented a method for designing aging experiments to aid in fitting aging models □Demonstrated this method with LiFePO4 cells □By placing the batteries in different cycling scenarios we observed three distinct aging behaviors □Normal use: these cells age in the "expected" way when considering amp-hours processed □Light use high voltage: these cells age quickly in comparison to amp-hours processed □Light use low voltage: these cells age slower in comparison to amp-hours processed □This method can be readily applied to other battery types and chemistries to develop aging models.

Original languageEnglish (US)
StatePublished - Jan 1 2014
EventAdvanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014 - Atlanta, United States
Duration: Feb 5 2014Feb 7 2014

Other

OtherAdvanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014
CountryUnited States
CityAtlanta
Period2/5/142/7/14

All Science Journal Classification (ASJC) codes

  • Fuel Technology
  • Automotive Engineering

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    Forman, J., Moura, S., Stein, J., & Fathy, H. (2014). Optimal experimental design for battery aging studies. Paper presented at Advanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014, Atlanta, United States.