Optimal experimental design for battery aging studies

Joel Forman; Scott Moura; Jeffrey Stein; Hosam Fathy

Optimal experimental design for battery aging studies

Joel Forman, Scott Moura, Jeffrey Stein, Hosam Fathy

Materials Research Institute (MRI)

Research output: Contribution to conference › Paper › peer-review

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 language	English (US)
State	Published - 2014
Event	Advanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014 - Atlanta, United States Duration: Feb 5 2014 → Feb 7 2014

Other

Other	Advanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014
Country/Territory	United States
City	Atlanta
Period	2/5/14 → 2/7/14

All Science Journal Classification (ASJC) codes

Fuel Technology
Automotive Engineering

Cite this

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title = "Optimal experimental design for battery aging studies",

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.",

author = "Joel Forman and Scott Moura and Jeffrey Stein and Hosam Fathy",

year = "2014",

language = "English (US)",

note = "Advanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014 ; Conference date: 05-02-2014 Through 07-02-2014",

}

TY - CONF

T1 - Optimal experimental design for battery aging studies

AU - Forman, Joel

AU - Moura, Scott

AU - Stein, Jeffrey

AU - Fathy, Hosam

PY - 2014

Y1 - 2014

N2 - □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.

AB - □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.

UR - http://www.scopus.com/inward/record.url?scp=84938894718&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84938894718&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84938894718

T2 - Advanced Automotive Battery Technology, Application and Market Symposium, AABTAM 2014

Y2 - 5 February 2014 through 7 February 2014

ER -

Optimal experimental design for battery aging studies

Abstract

Other

All Science Journal Classification (ASJC) codes

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