Quantitative failure analysis of lithium-ion batteries based on direct current internal resistance decomposition model

• Published in: Applied energy 2024-10, Vol.371, p.123630, Article 123630
• Main Authors: Xu, Ruhui, Li, Xinhai, Tang, Siqi, Wang, Zhixing, Guo, Huajun, Peng, Wenjie, Wang, Ding, Duan, Jianguo, Wang, Jiexi, Yan, Guochun
• Format: Article
• Language: English
• Subjects: algorithms; batteries; DCR decomposition; Degeneration mechanism; electric potential difference; Electrochemical model; electrochemistry; electron transfer; Lithium-ion battery; Polarization; prediction; quantitative analysis; temperature
• ISSN: 0306-2619
• DOI: 10.1016/j.apenergy.2024.123630

Accurate failure analysis plays a pivotal role in the optimization design and lifetime prediction of 4.45 V high-voltage LiCoO2/Graphite (LCO/Gr) batteries. Multiphysics coupling model brings great opportunities to conduct battery failure analysis quantitatively, although it is quite challenging because many model parameters need to be handled properly. Herein, we systematically elaborate the differences of ion and electron transport properties before and after cycling ageing of LCO/Gr batteries by constructing direct current internal resistance (DCR) decomposition model. The key parameters acquisition method is established, and the mechanism of DCR growth is elucidated. Furthermore, the aforementioned model parameters are refined by using a hybrid power pulse characteristics (HPPC) curve optimization algorithm based on DCR decomposition results obtained from the three-electrode battery system. Through analyzing the influence of single-factor parameter ageing on battery voltage output capacity and discharge temperature rise, the main factors affecting battery failure process are identified. For instance, the account of the positive electrochemical reaction resistance related to the kpos increased from the initial 22.9% of total DCR to 37.3% after ageing. This work provides a reliable quantitative analysis basis for the global optimization design of advanced LIBs. The terminal voltage and temperature rise are related to the parameters of different DCR compositions. Through the quantitative cycling ageing analysis based on DCR decomposition model, it is found that kpos (electrochemical reaction constant of positive electrode) is the primary factor affecting 4.45 V LiCoO2/graphite pouch cell's cycling ageing. The main reason for the decrease of kpos is that the damage of the electrode/electrolyte interface, which affects the charge transfer of the positive electrode. [Display omitted] •The mechanism of DCR growth in cycling ageing process of LIBs is explained.•The key parameters of different DCR before and after cycling ageing is obtained.•The model parameters are refined by a HPPC curve optimization algorithm.•Every ageing factor's effect on the overall performance is analyzed quantitatively.