Crash analysis of lithium-ion batteries using finite element based neural search analytical models

2018 ◽  
Vol 35 (1) ◽  
pp. 115-125 ◽  
Author(s):  
V. Vijayaraghavan ◽  
Li Shui ◽  
Akhil Garg ◽  
Xiongbin Peng ◽  
Vikas Pratap Singh
2020 ◽  
Vol 10 (16) ◽  
pp. 5518
Author(s):  
Nikolay E. Galushkin ◽  
Nataliya N. Yazvinskaya ◽  
Dmitriy N. Galushkin

In many papers for forecasting remaining capacity of lithium-ion batteries, various analytical models are used based on the Peukert equation. In this paper, it is shown that the classic Peukert equation is applicable in two ranges of discharge currents. The first range isis the battery released capacity and ) to currents at which the discharge capacity of battery begins to rapidly decrease. The second range of discharge currents is from the inflection point of experimental curve to the highest currents used in the experiments. In the first range of discharge currents, both the classic Peukert equation and the Liebenow equation can be used. The operating range of the discharge currents for commercial automotive-grade lithium batteries is in the first range. Therefore, in many of the analytical models, the classic Peukert equation (taking into account the temperature) is successfully used to estimate the remaining capacity of these batteries. An analysis and evaluation of advantages and disadvantages of all the most popular generalized Peukert equations is presented. The generalized Peukert equation with allowance for temperature is established, which makes it possible to estimate the released capacity with high accuracy for lithium-ion batteries.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5009
Author(s):  
Nataliya N. Yazvinskaya ◽  
Nikolay E. Galushkin ◽  
Dmitry V. Ruslyakov ◽  
Dmitriy N. Galushkin

In many studies, for predicting the remaining capacity of batteries belonging to different electrochemical systems, various analytical models based on the Peukert equation are used. This paper evaluates the advantages and disadvantages of the most famous generalized Peukert equations. For lithium-ion batteries, the Peukert equation cannot be used for estimation of their remaining capacity over the entire range of discharge currents. However, this paper proves that the generalized Peukert equations enable estimation of the capacity released by lithium-ion batteries with high accuracy. Special attention is paid to two generalized Peukert equations: C = Cm/(1 + (i/i0)n) and C = Cmerfc((i-i0)/n))/erfc(-i0/n). It is shown that they correspond to the experimental data the best.


2012 ◽  
Vol 187 ◽  
pp. 324-328 ◽  
Author(s):  
Liang Zheng ◽  
Bin Wu ◽  
Guo Qing Xu

Lithium-ion batteries have more excellent performance than other types of batteries, thus it is widely used in electric vehicles. Using batteries as the main power supplier does inevitably generate a lot of heat which not only deteriorates the batteries, but endangers the safety of the vehicle. In this paper, the temperature distribution of the batteries in the pure electric vehicles was investigated to minimize the heat generated in the batteries. The finite element formulations of the 3-D heat conduction equation of the battery were established for both steady and transient states. Then the finite element simulations were developed to investigate and optimize the temperature distribution of the battery and the battery pack. A parametric study was completed such that the heat generated in the battery pack can be minimized.


Author(s):  
Ilya V. Avdeev ◽  
Mehdi Gilaki

High-voltage lithium-ion batteries are increasingly used in electric and hybrid-electric vehicles. Due to a risk of being in an accident, these energy storage systems should be analyzed thoroughly so that the risk of failure or serious damage during accidents is minimized. In this research a three-dimensional finite element simulation of a cylindrical battery cell is performed to study the behavior of the cell under various loading conditions. Li-Ion batteries consist of very thin layers of anodes, cathodes and separators that are packed into a cylindrical-spiral shape. This non-homogeneity nature of the battery cells makes the finite element explicit model very complicated. In this study, a homogenized 3-D model of the cell has been developed that is more suitable for explicit high-strain-rate transient analyses. Another model using layered solid or thick shell elements was generated. For the latter, partially two-phased homogenized material properties were used. Three different configurations are considered to analyze the battery packs: an indentation test with a rigid tube, longitudinal crushing between rigid plates, and transverse crushing. Results from these numerical simulations were consistent for models with thick shell elements and homogenized models.


Author(s):  
Yixu Wang ◽  
Hsiao-Ying Shadow Huang

The need for development and deployment of reliable and efficient energy storage devices, such as lithium-ion rechargeable batteries, is becoming increasingly important due to the scarcity of petroleum. Lithium-ion batteries operate via an electrochemical process in which lithium ions are shuttled between cathode and anode while electrons flowing through an external wire to form an electrical circuit. The study showed that the development of lithium-iron-phosphate (LiFePO4) batteries promises an alternative to conventional lithium-ion batteries, with their potential for high energy capacity and power density, improved safety, and reduced cost. However, current prototype LiFePO4 batteries have been reported to lose capacity over ∼3000 charge/discharge cycles or degrade rapidly under high discharging rate. In this study, we report that the mechanical and structural failures are attributed to dislocations formations. Analytical models and crystal visualizations provide details to further understand the stress development due to lithium movements during charging or discharging. This study contributes to the fundamental understanding of the mechanisms of capacity loss in lithium-ion battery materials and helps the design of better rechargeable batteries, and thus leads to economic and environmental benefits.


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