Particle Fracture Modelling Within Li-ion Battery Active Materials for Improved Lifetime Determination

锂离子电池活性材料内的颗粒断裂建模可改善寿命确定

• 批准号: 2660355
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2660355
• 关键词: Particle; Fracture; Modelling; Within; Li

Although the effects of battery degradation have been quantified through both destructive and non-destructive tests, for a detailed understanding of the causes of degradation, the development of theory and modelling is required. To this end, surface film growth models to better predict the lifetime of lithium ion batteries have made significant advances in the last 20 years. However, existing models often diverge from real-world data during the cell lifetime. It is proposed that this discrepancy stems from mechanical degradation of the active material. Therefore, there is a need to develop accurate models of this mechanical degradation phenomena to couple with surface film based models to improve the accuracy of cell lifetime models and hence battery performance predictions. Areas of particular research interest include, but are not constrained too:1. Developing a deep understanding of the causes of battery degradation, specifically the impact of mechanical stresses and fracturing2. Validating this understanding with advanced electrochemical testing techniques3. Developing theories which will inform the development of coupled electro-chemical-mechanical-thermal models of battery degradation4. Developing model based prognostic tools for lifetime predictions

虽然电池退化的影响已经通过破坏性和非破坏性测试进行了量化，但要详细了解退化的原因，还需要开发理论和建模。为此，更好地预测锂离子电池寿命的表面膜生长模型在过去20年中取得了重大进展。然而，现有的模型往往偏离真实世界的数据在电池寿命。有人提出，这种差异源于活性材料的机械降解。因此，需要开发这种机械退化现象的精确模型，以与基于表面膜的模型相结合，以提高电池寿命模型的准确性，从而提高电池性能预测的准确性。特别感兴趣的研究领域包括，但不限于：1。深入了解电池退化的原因，特别是机械应力和断裂的影响2。用先进的电化学测试技术验证这一认识3。开发理论，这将通知耦合电池退化的电化学-机械-热模型的发展4。开发基于模型的寿命预测工具