scholarly journals Modeling and failure monitor of Li-ion battery based on single particle model and partial difference equations

2015 ◽  
Vol 64 (10) ◽  
pp. 108202
Author(s):  
Huang Liang ◽  
Li Jian-Yuan
2019 ◽  
Vol 21 ◽  
pp. 773-786 ◽  
Author(s):  
Sabrina Kathrin Rechkemmer ◽  
Xiaoyun Zang ◽  
Weimin Zhang ◽  
Oliver Sawodny

Batteries ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 37 ◽  
Author(s):  
Mostafa Al-Gabalawy ◽  
Nesreen S. Hosny ◽  
Shimaa A. Hussien

This paper introduces a physical–chemical model that governs the lithium ion (Li-ion) battery performance. It starts from the model of battery life and moves forward with simplifications based on the single-particle model (SPM), until arriving at a more simplified and computationally fast model. On the other hand, the implementation of this model is developed through MATLAB. The goal is to characterize an Li-ion cell and obtain its charging and discharging curves with different current rates and different cycle depths, as well as its transitory response. In addition, the results provided are represented and compared, and different methods of estimating the state of the batteries are applied. They include the dynamics of the electrolyte and the effects of aging caused by a high number of charging and discharging cycles of the batteries. A complete comparison with the three-parameter method (TPM) is represented in order to demonstrate the superiority of the applied methodology.


2019 ◽  
Vol 12 (05) ◽  
pp. 1950071
Author(s):  
Hejie Li ◽  
Hongbin Wang ◽  
Wenju Ren ◽  
Jiangtao Hu ◽  
Yuan Lin ◽  
...  

It remains a challenge to evaluate the Li-ions diffusion coefficients of LiMn[Formula: see text]FexPO4 due to the presence of two voltage platforms upon charge/discharge. In this paper, a new single-particle model based on Butler–Volmer (BV) equation and one-dimensional diffusion equation is established. Using this model, the cyclic voltammogram curves of LiMn[Formula: see text]FexPO4 single-particle electrodes are successfully fitted and their Li-ion diffusion coefficients in organic electrolyte are obtained. Through analyzing the diffusion coefficients, it is found that the Li-ions diffusion coefficients for both Fe and Mn redox processes in LiMn[Formula: see text]FexPO4 reach the maximum when [Formula: see text]. In addition, the values for oxidation processes are much larger than those for reduction processes.


Sign in / Sign up

Export Citation Format

Share Document