Use of ultrasound for estimating state of charge and state of health in lithium-ion batteries.

当电池经历充电和放电循环时，锂离子在阳极和阴极层之间转移，导致电池的密度分布发生变化。这项工作的目的是研究使用超声波来跟踪这些密度变化，目的是获得可用于电池管理系统的充电状态和健康信息的充电状态。简要使用超声波改变密度分布已被证明是以前文献中的一个概念，并已在初步测试中成功重现。这项工作的一个特定目的是从对超声脉冲的响应中获得尽可能多的信息，使得样本的集合有可能提供有用的电池诊断信息。无论电池的历史、制造和条件如何。本工作的一部分是探索电极的表面纹理的变化，因为他们的年龄。这可以提供具有电池接受充电能力的健康信息的关键状态。电池管理系统是当前研究的一个大而多样的领域。超声波是这个领域中相对较小的领域。这种技术的好处是由于超声探测的非侵入性和非破坏性。利用该方法可以获得关于封闭单元的信息，该方法可以提供用于分析的真实的时间数据。目前电池管理的大部分状态是基于估计技术，因此，寻求更准确的方法。电池在高功率应用中变得越来越流行，例如电动车辆和航空航天应用。这就要求电池的安全使用，而准确的电池管理系统对于电池的安全和高效使用至关重要。

As a battery goes through charge and discharge cycles, lithium-ions are transferred between the anode and cathode layers causing a change the density distribution of the cell. The aim of this work is to look into the use of ultrasound to track these changes in density with the intention of gaining state of charge and state of charge of health information that could be utilised in a battery management system. Briefly. Change in density distribution using ultrasound has been proven to work as a concept in literature previously and has been successfully recreated in preliminary tests. A particular aim of this work is to gain as much information as possible from responses to ultrasound pulses such that a collection of samples have the possibility of providing useful battery diagnostic information. Regardless of the history, manufacture and condition of the cell. Part of this work is to explore the changing of surface texture in the electrodes as they age. This could provide critical state of health information with the batteries ability to accept charge. Battery management systems are a large and varied area of current research. Ultrasound is a relatively small area within this field. The benefits of this technique are due to the non-invasive and non-destructive nature of ultrasound explorations. Information about a closed cell can be obtained using this method that can provide real time data for analysis. Much of the current state of battery management is based on estimation techniques and as such, more accurate methods are sought.Batteries are becoming more popular in high power applications such as electrical vehicles and aerospace applications. This demands the safe use of batteries and accurate battery management systems become critical for safe and efficient usage.