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LITHIUM-ION BATTERY CELL HEALTH MONITORING USING VIBRATION DIAGNOSTIC TEST

机译:振动诊断测试监测锂离子电池的健康

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With their superior advantages of high capacity and low percentage of self-discharge, lithium-ion batteries have become the most popular choice for power storage in electric vehicles. Due to the increased potential for long life of lithium-ion batteries in vehicle applications, manufacturers are pursuing methodologies to increase the reliability of their batteries. This research project is focused on utilizing non-destructive vibration diagnostic testing methods to monitor changes in the physical properties of the lithium-ion battery electrodes, which dictate the states of charge (SOC) and states of health (SOH) of the battery cell. When the battery cell is cycled, matter is transported from one electrode to another which causes mechanical properties such as thickness, mass, stiffness of the electrodes inside a battery cell to change at different states of charge; therefore, the detection of these changes will serve to determine the state of charge of the battery cell. As mass and stiffness of the electrodes change during charge and discharge, they will respond to the excitation input differently. An automated vibration diagnostic test is developed to characterize the state of charge of a lithium-ion battery cell by measuring the amplitude and phase of the kinematic response as a function of excitation frequency at different states of charge of the battery cell and at different times in the life of the cell. Also, the mechanical properties of the electrodes at different states of charge are obtained by direct measurements to develop a first-principles frequency response model for the battery cell. The correlation between the vibration test results and the model will be used to determine the state of charge of the cell.
机译:锂离子电池凭借其高容量和低自放电率的优越优势,已成为电动汽车动力存储中最受欢迎的选择。由于锂离子电池在车辆应用中具有更长的使用寿命,因此制造商正在寻求方法来提高其电池的可靠性。该研究项目专注于利用非破坏性振动诊断测试方法来监测锂离子电池电极物理特性的变化,这些变化决定了电池单元的充电状态(SOC)和健康状态(SOH)。当电池单元循环时,物质从一个电极传输到另一个电极,这会导致电池单元内部电极的机械性能(例如厚度,质量,刚度)在不同的充电状态下发生变化。因此,检测这些变化将有助于确定电池单元的充电状态。当电极的质量和刚度在充电和放电过程中发生变化时,它们将对激励输入做出不同的响应。开发了一种自动振动诊断测试来通过测量运动响应的幅度和相位来表征锂离子电池单元的充电状态,该运动响应是在电池单元的不同充电状态和不同时间的激励频率的函数。细胞的寿命。同样,通过直接测量获得不同电荷状态下的电极的机械性能,以建立电池原理的第一原理频率响应模型。振动测试结果与模型之间的相关性将用于确定电池的充电状态。

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