scholarly journals Modeling the Effect of the Loss of Cyclable Lithium on the Performance Degradation of a Lithium-Ion Battery

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4386 ◽  
Author(s):  
Dongcheul Lee ◽  
Boram Koo ◽  
Chee Burm Shin ◽  
So-Yeon Lee ◽  
Jinju Song ◽  
...  

This paper reports a modeling methodology to predict the effect of the loss of cyclable lithium of a lithium-ion battery (LIB) cell comprised of a LiNi0.6Co0.2Mn0.2O2 cathode, natural graphite anode, and an organic electrolyte on the discharge behavior. A one-dimensional model based on a finite element method is presented to calculate the discharge behaviors of an LIB cell during galvanostatic discharge for various levels of the loss of cyclable lithium. Modeling results for the variation of the cell voltage of the LIB cell are compared with experimental measurements during galvanostatic discharge at various discharge rates for three different levels of the loss of cyclable lithium to validate the model. The calculation results obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the loss of cyclable lithium on the discharge capacity and available discharge power of the LIB cell are estimated. The modeling results exhibit strong dependencies of the discharge behavior of an LIB cell on the discharge C-rate and the loss of cyclable lithium.

Author(s):  
Jinglong Liang ◽  
Jing Wang ◽  
Hui Li ◽  
Chenxiao Li ◽  
Hongyan Yan ◽  
...  

AbstractMassive deployment of lithium-ion battery inevitably causes a large amount of solid waste. To be sustainably implemented, technologies capable of reducing environmental impacts and recovering resources from spent lithium-ion battery have been an urgent task. The electrochemical reduction of LiNiO2 to metallic nickel has been reported, which is a typical cathode material of lithium-ion battery. In this paper, the electrochemical reduction behavior of LiNiO2 is studied at 750 °C in the eutectic NaCl-CaCl2 molten salt, and the constant cell voltage electrolysis of LiNiO2 is carried out. The results show that Ni(III) is reduced to metallic nickel by a two-step process, Ni(III) → Ni(II) → Ni, which is quasi-reversible controlled by diffusion and electron transfer. After electrolysis for 6 h at 1.4 V, the surface of LiNiO2 cathode is reduced to metallic nickel, with NiO and a small amount of Li0.4Ni1.6O2 detected inside the partially reduced cathode. After prolonging the electrolysis time to 12 h, LiNiO2 is fully electroreduced to metallic nickel, achieving a high current efficiency of 98.60%. The present work highlights that molten salt electrolysis could be an effective protocol for reclamation of spent lithium-ion battery.


2021 ◽  
Vol 105 (1) ◽  
pp. 549-559
Author(s):  
Petr Vyroubal ◽  
Tomas Kazda ◽  
Martin Mačák

Computer simulations today play an important role in the field of science and technology. The same is true in the field of electrochemistry, where they are used mainly to model the charging and discharging processes in various types of batteries, at the various loads and temperature processes associated with it. This article deals with the possibility of modeling thermal abuse, which subsequently leads to the thermal runaway effect in a lithium ion battery pack. The simulation is accompanied by experimental measurements and comparison of the original results from the real test and simulation.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 125176-125187 ◽  
Author(s):  
Jun Zhu ◽  
Tianxiong Tan ◽  
Lifeng Wu ◽  
Huimei Yuan

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sandip Mazumder ◽  
Jiheng Lu

A one-dimensional coupled electrochemical-thermal model of a lithium ion battery with full temporal and normal-to-electrode spatial resolution is presented. Only a single pair of electrodes is considered in the model. It is shown that simulation of a lithium ion battery with the inclusion of detailed transport phenomena and electrochemistry is possible with faster-than-real-time compute times. The governing conservation equations of mass, charge, and energy are discretized using the finite volume method and solved using an iterative procedure. The model is first successfully validated against experimental data for both charge and discharge processes in aLixC6-LiyMn2O4battery. Finally, it is demonstrated for an arbitrary rapidly changing transient load typical of a hybrid electric vehicle drive cycle. The model is able to predict the cell voltage of a 15-minute drive cycle in less than 12 seconds of compute time on a laptop with a 2.33 GHz Intel Pentium 4 processor.


Batteries ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 9
Author(s):  
Kerstin Ryll ◽  
Louisa Hoffmann ◽  
Oliver Landrath ◽  
Frank Lienesch ◽  
Michael Kurrat

The cell characterization in the incoming inspection is an important but time and cost intensive process step. In order to obtain reliable parameters to evaluate and classify the cells, it is essential to design the test procedures in such a way that the parameters derived from the data allow the required statements about the cells. Before the focus is placed on the evaluation of cell properties, it is therefore necessary to design the test procedures appropriately. In the scope of the investigations two differently designed incoming inspection routines were carried out on 230 commercial lithium-ion battery cells (LIBs) with the aim of deriving recommendations for optimal test procedures. The derived parameters of the test strategies were compared and statistically evaluated. Subsequently, key figures for the classification were identified. As a conclusion, the capacity was confirmed as an already known important parameter and the average cell voltage was identified as a possibility to replace the usually used internal resistance. With regard to capacity, the integration of CV steps in the discharging processes enables the determination independently from the C-rate. For the average voltage cycles with high C-rates are particularly meaningful because of the significant higher scattering due to the overvoltage parts.


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