Monitoring of Intercalation Stages in Lithium-Ion Cells over Charge-Discharge Cycles with Fiber Optic Sensors

2015 ◽  
Vol 162 (14) ◽  
pp. A2664-A2669 ◽  
Author(s):  
Lars Wilko Sommer ◽  
Ajay Raghavan ◽  
Peter Kiesel ◽  
Bhaskar Saha ◽  
Julian Schwartz ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Lithium Ion ◽  
Fiber Optic Sensors ◽  
Lithium Ion Cells ◽  
Charge Discharge

Degradation-Safety Analytics in Lithium-Ion Cells: Part I. Aging under Charge/Discharge Cycling

2020 ◽  
Vol 167 (16) ◽  
pp. 160510
Author(s):  
Daniel Juarez-Robles ◽  
Judith A. Jeevarajan ◽  
Partha P. Mukherjee
Keyword(s):  
Lithium Ion ◽  
Lithium Ion Cells ◽  
Charge Discharge

Effects of Hydrothermal Oxidation Temperature on the Performance of Natural Graphite as an Anode for Lithium-Ion Cells

2011 ◽  
Vol 14 (3) ◽  
pp. 153-157 ◽  
Author(s):  
Mi Lu ◽  
Yanyan Tian ◽  
Bing Huang ◽  
Xiaodong Zheng
Keyword(s):  
Electrochemical Performance ◽  
Room Temperature ◽  
Coulombic Efficiency ◽  
Lithium Ion ◽  
Photoelectron Spectra ◽  
Oxidation Temperature ◽  
Natural Graphite ◽  
Lithium Ion Cells ◽  
Effects Of Temperature ◽  
Charge Discharge

Natural graphite (NG) was hydrothermally oxidized at room temperature, 100 ºC and 200 ºC respectively to analyze the effects of temperature on the electrochemical performance of the NG as an anode for lithium ion cells. Charge/discharge results showed that the sample treated at 100 ºC exhibited the highest initial intercalation capacity of 340.1 mAh/g and a Coulombic efficiency of 89.9%, while the sample treated at 200 ºC showed the highest capacity retention of 96.5% after 20 charge/discharge cycles. X-ray photoelectron spectra revealed that groups containing oxygen were present on the surface of all samples, which explains why the performance of the sample treated at room temperature shows slightly improved electrochemical performance that can be further improved by increasing the oxidation temperature.

scholarly journals Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2910 ◽  
Author(s):  
Weiping Diao ◽  
Saurabh Saxena ◽  
Bongtae Han ◽  
Michael Pecht
Keyword(s):  
Lithium Ion ◽  
Storage Conditions ◽  
Capacity Fade ◽  
Lithium Ion Cells ◽  
Knee Point ◽  
Extended Charge ◽  
Definition Of ◽  
And Storage ◽  
Charge Discharge

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.

scholarly journals Classifying Aged Li-Ion Cells from Notebook Batteries

2020 ◽  
Vol 12 (9) ◽  
pp. 3620 ◽  
Author(s):  
Felipe Salinas ◽  
Julia Kowal
Keyword(s):  
Lithium Ion ◽  
Battery Management System ◽  
Battery Management ◽  
Life Conditions ◽  
Lithium Ion Cells ◽  
Capacity Degradation ◽  
Boosted Decision Tree ◽  
Li Ion ◽  
Aging Mechanisms ◽  
Charge Discharge

A dataset consisting of 90 lithium-ion cells obtained from old notebook batteries containing their response to 100 charge–discharge cycles is presented. The resulting degradation patterns are assigned to four clusters and related to possible aging mechanisms. The records in the battery management system (BMS) of each battery are analyzed to understand the influence of first life conditions in the measured degradation patterns. The analysis reveals that a cluster of cells which experienced mostly calendar aging in 7–13 years hold ~90% of the rated capacity, and exhibit at 0.4 C discharge a linear capacity degradation throughout cycling comparable to new cells. In contrast, a cluster of cells that experienced extensive calendar and cyclic aging can lose ~50% capacity at 0.4 C discharge in a few cycles after reutilization. A model based on a boosted decision tree is applied to forecast the cluster of each cell, using as features the capacity measured in the first cycle, and the records obtained from the BMS. The highest accuracy (83%) is obtained through capacity, where misclassification arises from two clusters containing highly degraded cells with similar initial capacities, but divergent degradation patterns.

New Additives to Improve the First-Cycle Charge–Discharge Performance of a Graphite Anode for Lithium-Ion Cells

2005 ◽  
Vol 152 (10) ◽  
pp. A1996 ◽  
Author(s):  
Xianming Wang ◽  
Hitoshi Naito ◽  
Yoshitsugu Sone ◽  
Go Segami ◽  
Saburo Kuwajima
Keyword(s):  
Lithium Ion ◽  
Graphite Anode ◽  
Discharge Performance ◽  
Lithium Ion Cells ◽  
Charge Discharge
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