Experimental Evaluation of the Effect of Cycle Profile on the Durability of Commercial Lithium Ion Power Cells

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
K. N. Radhakrishnan ◽  
T. Coupar ◽  
D. J. Nelson ◽  
M. W. Ellis
Keyword(s):  
Lithium Ion ◽  
Critical Factor ◽  
Internal Resistance ◽  
Wave Profile ◽  
Total Charge ◽  
Capacity Fade ◽  
Square Wave ◽  
Lithium Ion Cells ◽  
Discharge Profile ◽  
Testing Protocols

The effect of the charge/discharge profile on battery durability is a critical factor for the application of batteries and for the design of appropriate battery testing protocols. In this work, commercial high-power prismatic lithium ion cells for hybrid electric vehicles (HEVs) were cycled using a pulse-heavy profile and a simple square-wave profile to investigate the effect of cycle profile on battery durability. The pulse-heavy profile was designed to simulate on-road conditions for a typical HEV, while the simplified square-wave profile was designed to have the same total charge throughput, but with lower peak currents. The 5 Ah batteries were cycled for 100 kAh with periodic performance tests to monitor the state of the batteries. Results indicate that, for the batteries tested, the capacity fade for the two profiles was very similar and was 11±0.5% compared to beginning of life (BOL). The change in internal resistance of the batteries during testing was also monitored and found to increase 21% and 12% compared to BOL for the pulse-heavy and square-wave profiles, respectively. The results suggest that simplified testing protocols using square-wave cycling may provide adequate insight into capacity fade behavior for more complex hybrid vehicle drive cycles.

scholarly journals Capacity Fade Analysis of Lithium-Ion Cells Utilizing Uncertainty Quantification Approach

2019 ◽  
Author(s):  
Vahid Esfahanian ◽  
Saeed Akbari ◽  
Farzin Chaychizadeh ◽  
Hojat Dehghandorost
Keyword(s):  
Voltage Drop ◽  
Low Cost ◽  
Solid Electrolyte Interphase ◽  
Lithium Ion ◽  
Stochastic Approach ◽  
Internal Resistance ◽  
Constant Current ◽  
Capacity Fade ◽  
Uncertainty Sources ◽  
Lithium Ion Cells

Lithium-ion batteries (LIBs) have drawn attention in research due to their broad range of applications. To achieve low-cost and high reliable batteries, researchers have worked on a variety of degradation phenomena. Among them, the Solid Electrolyte Interphase (SEI) layer is the most important degradation phenomenon and causes the cell to capacity fade and internal resistance raise. In this paper, a stochastic approach, based on the sparse Jacobi polynomial chaos expansion, is utilized to investigate the effect of the uncertainty sources on the lithium-ion battery aging. Furthermore, the importance of every uncertainty source is calculated by using Sobol indices. Capacity fade and resistance raise obtain at the end of the Constant Current-Constant Voltage (CC-CV) charging. The outcome of this study shows the most important parameters affecting capacity fade and voltage drop.

scholarly journals A study of the influence of measurement timescale on internal resistance characterisation methodologies for lithium-ion cells

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Anup Barai ◽  
Kotub Uddin ◽  
W. D. Widanage ◽  
Andrew McGordon ◽  
Paul Jennings
Keyword(s):  
Lithium Ion ◽  
Internal Resistance ◽  
Lithium Ion Cells

scholarly journals Comparison of Several Methods for Determining the Internal Resistance of Lithium Ion Cells

Sensors ◽  
2010 ◽  
Vol 10 (6) ◽  
pp. 5604-5625 ◽  
Author(s):  
Hans-Georg Schweiger ◽  
Ossama Obeidi ◽  
Oliver Komesker ◽  
André Raschke ◽  
Michael Schiemann ◽  
...  
Keyword(s):  
Lithium Ion ◽  
Internal Resistance ◽  
Lithium Ion Cells

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.

Effect of cathode composition on capacity fade, impedance rise and power fade in high-power, lithium-ion cells

2003 ◽  
Vol 124 (2) ◽  
pp. 538-550 ◽  
Author(s):  
Ira Bloom ◽  
Scott A Jones ◽  
Vincent S Battaglia ◽  
Gary L Henriksen ◽  
Jon P Christophersen ◽  
...  
Keyword(s):  
High Power ◽  
Lithium Ion ◽  
Capacity Fade ◽  
Lithium Ion Cells ◽  
Power Fade

scholarly journals Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects

Batteries ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 14 ◽  
Author(s):  
Eduardo Redondo-Iglesias ◽  
Pascal Venet ◽  
Serge Pelissier
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Reaction Rate ◽  
Lithium Ion ◽  
Capacity Fade ◽  
Lithium Ion Cells ◽  
Rest Periods ◽  
Cost Modelling ◽  
Original Approach ◽  
Model Battery

Battery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles’ range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact. Because calendar and cycling ageings are not additive, a major challenge is to model battery ageing in applications where the combination of cycling and rest periods are variable as, for example, in the electric vehicle application. In this work, an original approach to capacity fade modelling based on the formulation of reaction rate of a two-step reaction is proposed. A simple but effective model is obtained: based on only two differential equations and seven parameters, it can reproduce the capacity evolution of lithium-ion cells subjected to cycling profiles similar to those found in electric vehicle applications.

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