Universal battery identification system

能源储存在可持续能源链中的重要性导致了越来越多的 电池技术正在被引入市场。充分利用每种类型的电池 需要特定于电池化学和电池状态的充放电方法 健康。然而，电池背后的技术并不总是为用户所知。一种方法，它支持 可以通过测量电池对电或电的响应来实现对电池化学性质的快速识别 其他的扰动。这种方法可以识别包装电池中的电池数量，并且 它的适当处理。许多主要的电信设备制造商都对这一领域表现出了兴趣 通过为这样一种设备申请专利。然而，这些专利系统针对的是在 公司主要区分和区分各种型号的电池制造商。他们还没有 展示通用电池识别器的工作原型。在本次研究项目中，具体的 我们将研究各种电池技术的特点，以确定 每种电池类型。电池分类将通过与物理模型或数据进行拟合来处理 清洗/机器学习技术。结果将用于创建通用电池监控和 充电系统。

The importance of energy storage in the sustainable energy chain has resulted in an increasing number of battery technologies being introduced into the market. Utilizing each type of the battery to its full potential requires charging and discharging methods that are specific to the battery chemistry and the battery's state of the health. However, the technology behind the battery is not always known to the user. A method that enables the fast identification of the battery chemistry can be achieved through measuring its response to electrical or other perturbations. This approach could enable identification of the number of cells in a packaged battery and its appropriate handling. Many major telecommunication device manufacturers have shown interest in this area by filing patents for such a device. However, these patented systems are directed towards use within the company and mainly distinguishes between the various battery models of the manufacturer. They have yet to show a working prototype of a universal battery identifier. During this research project, the specific characteristics of the various battery technologies will be studied to determine the distinguishing features of each battery type. Battery classification will be handled either through fitting to physical models or data cleansing/machine learning techniques. The results will be used to create a universal battery monitoring and charging system.