Determination of the Time Dependent Parasitic Heat Flow in Lithium Ion Cells Using Isothermal Microcalorimetry

2014 ◽  
Vol 118 (51) ◽  
pp. 29533-29541 ◽  
Author(s):  
L. E. Downie ◽  
S. R. Hyatt ◽  
A. T. B. Wright ◽  
J. R. Dahn
2021 ◽  
Vol 42 ◽  
pp. 103065
Author(s):  
Marco Steinhardt ◽  
Elisabeth Irene Gillich ◽  
Alexander Rheinfeld ◽  
Ludwig Kraft ◽  
Markus Spielbauer ◽  
...  

2018 ◽  
Vol 165 (14) ◽  
pp. A3449-A3458 ◽  
Author(s):  
S. L. Glazier ◽  
S. A. Odom ◽  
A. P. Kaur ◽  
J. R. Dahn

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2910 ◽  
Author(s):  
Weiping Diao ◽  
Saurabh Saxena ◽  
Bongtae Han ◽  
Michael Pecht

Lithium-ion batteries typically exhibit a transition to a more rapid capacity fade trend when subjected to extended charge–discharge cycles and storage conditions. The identification of the knee point can be valuable to identify the more severe degradation trend, and to provide guidance when scheduling battery replacements and planning secondary uses of the battery. However, a concise and repeatable determination of a knee point has not been documented. This paper provides a definition of the knee point which can be used as a degradation metric, and develops an algorithm to identify it. The algorithm is implemented on various data cases, and the results indicate that the approach provides repeatable knee point identification.


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