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 - Jan 1 2014
Event	Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2014 and Large EC Capacitor Technology and Application Symposium, ECCAP 2014 - Atlanta, United States Duration: Feb 4 2014 → Feb 5 2014

Other

Other	Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2014 and Large EC Capacitor Technology and Application Symposium, ECCAP 2014
Country/Territory	United States
City	Atlanta
Period	2/4/14 → 2/5/14

All Science Journal Classification (ASJC) codes

Automotive Engineering
Fuel Technology

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",

month = jan,

day = "1",

language = "English (US)",

note = "Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2014 and Large EC Capacitor Technology and Application Symposium, ECCAP 2014 ; Conference date: 04-02-2014 Through 05-02-2014",

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Optimal experimental design for battery aging studies. / Forman, Joel; Moura, Scott; Stein, Jeffrey et al.
2014. Paper presented at Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2014 and Large EC Capacitor Technology and Application Symposium, ECCAP 2014, Atlanta, United States.

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

TY - CONF

T1 - Optimal experimental design for battery aging studies

AU - Forman, Joel

AU - Moura, Scott

AU - Stein, Jeffrey

AU - Fathy, Hosam

PY - 2014/1/1

Y1 - 2014/1/1

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.

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UR - http://www.scopus.com/inward/citedby.url?scp=84938789659&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84938789659

T2 - Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2014 and Large EC Capacitor Technology and Application Symposium, ECCAP 2014

Y2 - 4 February 2014 through 5 February 2014

ER -

Optimal experimental design for battery aging studies

Abstract

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All Science Journal Classification (ASJC) codes

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