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首页> 外文会议>6th Hybrid and Electric Vehicles Conference >A SoH diagnosis and prognosis method to identify and quantify degradation modes in Li-ion batteries using the IC/DV technique
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A SoH diagnosis and prognosis method to identify and quantify degradation modes in Li-ion batteries using the IC/DV technique

机译：使用IC / DV技术识别和量化锂离子电池退化模式的SoH诊断和预后方法

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Accurate State of Health (SoH) diagnosis and prognosis of Lithium-ion batteries (LIBs) may become an important estimate for the Battery Management System (BMS) if it can be acted upon to de-rate the demands placed on the battery in order to reduce the rate of ageing and to extend battery life. The BMS often quantifies SoH based on capacity (SoHE) and power fade (SoHP) without diagnosing the root causes. In line with this, Incremental Capacity (IC) and Differential Voltage (DV) techniques are used to identify and quantify degradation modes as well as to estimate and to predict the SoHE. These techniques were applied to four parallelised LIBs loaded with a constant current profile for 500 cycles. Loss of active material and loss of lithium ions were identified to be the most relevant degradation modes for this experiment. Moreover, a linear relationship between the intensity of the peaks of the IC and DV curves were identified with respect to the SoHE. This result may enable the future estimation and prediction of SoHE in a simple way. Overall, the outcomes of this work may support novel strategies to control SoHE within the BMS, so that the rate of battery degradation can be reduced.
机译：如果可以采取行动降低锂电池的需求量，锂离子电池（LIB）的准确健康状况（SoH）诊断和预后可能会成为电池管理系统（BMS）的重要估算。降低老化率并延长电池寿命。 BMS通常基于容量（SoHE）和功率衰减（SoHP）量化SoH，而没有诊断根本原因。与此相符，增量容量（IC）和差分电压（DV）技术用于识别和量化退化模式以及估算和预测SoHE。将这些技术应用于四个并联的LIB，这些LIB加载了恒定电流曲线500个周期。活性物质的损失和锂离子的损失被确定为该实验最相关的降解模式。此外，相对于SoHE，IC和DV曲线的峰强度之间存在线性关系。该结果可以以简单的方式实现SoHE的未来估计和预测。总的来说，这项工作的结果可能支持在BMS中控制SoHE的新颖策略，从而可以降低电池退化率。

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