首页> 外文会议>Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems >SOH Modelling of Li-Ion Coin Cells Subjected to Varying C-Rates, Depths of Charge, Operating Temperatures and Custom Charge Profiles
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SOH Modelling of Li-Ion Coin Cells Subjected to Varying C-Rates, Depths of Charge, Operating Temperatures and Custom Charge Profiles

机译:锂离子硬币细胞的SOH建模,对不同的C速率,电荷深度,操作温度和定制电荷谱进行

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Portable consumer electronics devices continue to be one of electronics high-demand items, with rising interest in such products recently. Li-Ion batteries are the most popular power source choice of these products owing to a combination of high specific energy and specific power. In consumer electronics products, these batteries are generally employed in their coin form factor in biomedical devices, sensors, wireless earbuds, etc. These developments have boosted the research effort on Li-Ion power sources, and a major part of this effort is the prognostics of Li-Ion battery state of health (SOH) and predicting its remaining useful life. In addition to the common operation and environmental parameters such as the C-rate, the surrounding temperature and the depth of charge, additional parameters such as custom charge profiles employed by products need to be considered while modelling battery SOH degradation. This study focuses on the development of a SOH estimation model for two types of Li-ion coin cells subjected to accelerated life testing along with varying C-rates, operating temperature and depths of charge. Moreover, a custom charge profile wherein the charging current supplied to the battery was modified throughout its life cycle depending upon its instantaneous capacity was experimented to see its effect on the SOH degradation rate. Finally, regression models, focusing on the relation between SOH degradation and battery use parameters was developed.
机译:便携式消费电子设备继续是电子高需求项之一,最近在此类产品的兴趣上升。由于高特定能源和特定功率的组合,锂离子电池是最受欢迎的电源选择这些产品。在消费电子产品中,这些电池通常在其生物医学设备,传感器,无线耳塞等中的硬币形状因子中使用这些发展已经提升了锂离子电源的研究工作,这项努力的主要部分是预测锂离子电池的健康状态(SOH),预测其剩余的使用寿命。除了常见的操作和环境参数之外,如C速率,周围温度和电荷深度,需要在建模电池SOH劣化时考虑产品采用的额外参数,如产品采用的自定义电荷谱。该研究侧重于开发用于经受加速寿命测试的两种类型的锂离子硬币细胞的SOH估计模型以及不同的C速率,操作温度和充电深度。此外,定制电荷谱,其中根据其瞬时容量在整个生命周期中修改提供给电池的充电电流,以便看到其对SOH降解速率的影响。最后,开发了回归模型,专注于SOH劣化和电池使用参数之间的关系。

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