期刊
JOURNAL OF POWER SOURCES
卷 544, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2022.231805
关键词
Phase field fracture model; Fatigue; Lithium-ion batteries; Multi-physics; Electrode particle cracking
资金
- EPSRC, UK Faraday In-stitution Multi-Scale Modelling project [EP/S003053/1, FIRG003]
- Jiangsu Key Laboratory of Engineering Mechanics, Southeast University, China
- Fundamental Research Funds for the Central Universities, China [4060692201/016]
- UKRI's Future Leaders Fellowship programme, UK [MR/V024124/1]
This study develops a multi-physics phase field fatigue model to study crack propagation in battery electrode particles. By coupling with X-ray CT imaging, fatigue cracking of realistic particle microstructures is simulated. Non-linear crack propagation behavior is predicted, with an exponential increase in cracked area observed with cycle number. Three stages of crack growth and phenomena such as crack initialization at concave regions and crack coalescence are observed. The critical values of C-rate, particle size, and initial crack length are determined.
Electrode particle cracking is one of the main phenomena driving battery capacity degradation. Recent phase field fracture studies have investigated particle cracking behaviour. However, only the beginning of life has been considered and effects such as damage accumulation have been neglected. Here, a multi-physics phase field fatigue model has been developed to study crack propagation in battery electrode particles undergoing hundreds of cycles. In addition, we couple our electrochemo-mechanical formulation with X-ray CT imaging to simulate fatigue cracking of realistic particle microstructures. Using this modelling framework, non-linear crack propagation behaviour is predicted, leading to the observation of an exponential increase in cracked area with cycle number. Three stages of crack growth (slow, accelerating and unstable) are observed, with phenomena such as crack initialisation at concave regions and crack coalescence having a significant contribution to the resulting fatigue crack growth rates. The critical values of C-rate, particle size and initial crack length are determined, and found to be lower than those reported in the literature using static fracture models. Therefore, this work demonstrates the importance of considering fatigue damage in battery degradation models and provides insights on the control of fatigue crack propagation to alleviate battery capacity degradation.
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