scholarly journals Thermal analysis of a fast charging technique for a high power lithium ion cell

Author(s):  
Victor Manuel García Fernández ◽  
Cecilio Blanco Viejo ◽  
David Anseán González ◽  
Manuela González Vega ◽  
Yoana Fernández Pulido ◽  
...  

The cell case temperature versus time profiles of a multistage fast charging technique (4C-1C-CV)/fast discharge (4C) in a 2.3 Ah cylindrical lithium-ion cell are analyzed using a 1D thermal model. Heat generation is dominated by the irreversible component associated to cell overpotential, although evidences of the reversible component are also observed, associated to the heat related to entropy from the electrode reactions. The final charging stages (i.e., 1C-CV) significantly reduce heat generation and cell temperature during charge, resulting in a thermally safe charging protocol. Cell heat capacity was determined from cell specific heats and cell materials thickness. The 1D model adjustment of the experimental data during the 2 min. resting period between discharge and charge allowed us to calculate both the time constant of the relaxation process and the cell thermal resistance. The obtained values of these thermal parameters used in the proposed model are almost equal to those found in the literature for the same cell model, which suggests that the proposed model is suitable for its implementation in thermal management systems.

Author(s):  
Natascia Andrenacci ◽  
Francesco Vellucci ◽  
Vincenzo Sglavo

The prediction of capacity degradation, and more generally of the behaviors related to battery aging, is useful in the design and use phases of a battery to help improve the efficiency and reliability of energy systems. In this paper, a stochastic model for the prediction of battery cell degradation is presented. The proposed model takes its cue from an approach based on Markov chains, although it is not comparable to a Markov process, as the transition probabilities vary as the number of cycles that the cell has performed varies. The proposed model can reproduce the abrupt decrease in the capacity that occurs near the end of life condition (80% of the nominal value of the capacity) for the cells analyzed. Furthermore, we illustrate the ability of this model to predict the capacity trend for a lithium-ion cell with nickel-manganese-cobalt (NMC) at the cathode and graphite at the anode subjected to a life cycle in which there are different aging factors, using the results obtained for cells subjected to single aging factors.


Batteries ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 88
Author(s):  
Natascia Andrenacci ◽  
Francesco Vellucci ◽  
Vincenzo Sglavo

The prediction of capacity degradation, and more generally of the behaviors related to battery aging, is useful in the design and use phases of a battery to help improve the efficiency and reliability of energy systems. In this paper, a stochastic model for the prediction of battery cell degradation is presented. The proposed model takes its cue from an approach based on Markov chains, although it is not comparable to a Markov process, as the transition probabilities vary with the number of cycles that the cell has performed. The proposed model can reproduce the abrupt decrease in the capacity that occurs near the end of life condition (80% of the nominal value of the capacity) for the cells analyzed. Furthermore, we illustrate the ability of this model to predict the capacity trend for a lithium-ion cell with nickel manganese cobalt (NMC) at the cathode and graphite at the anode, subjected to a life cycle in which there are different aging factors, using the results obtained for cells subjected to single aging factors.


2019 ◽  
Vol 166 (14) ◽  
pp. A3254-A3259 ◽  
Author(s):  
Shan Huang ◽  
Xianyang Wu ◽  
Gabriel M. Cavalheiro ◽  
Xiaoniu Du ◽  
Bangzhi Liu ◽  
...  

2019 ◽  
Vol 412 ◽  
pp. 204-223 ◽  
Author(s):  
J. Sturm ◽  
A. Rheinfeld ◽  
I. Zilberman ◽  
F.B. Spingler ◽  
S. Kosch ◽  
...  

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