Universal battery identification system

储能在可持续能源链中的重要性导致越来越多的电池技术被引入市场。利用每种类型的电池，以其全部潜力需要充电和放电的方法，是特定于电池的化学和电池的健康状态。然而，电池背后的技术并不总是为用户所知。一种能够快速识别电池化学成分的方法可以通过测量其对电气或其他扰动的响应来实现。这种方法可以识别包装电池中的电池数量及其适当和安全的处理。许多主要的电信设备制造商已经通过为这种设备申请专利而对这一领域表现出兴趣。然而，这些专利系统针对公司内部使用，主要区分制造商特定的各种电池型号。他们还没有展示通用电池识别器的工作原型。在第一次Engage资助的研究中，研究了各种电池技术的具体特征，以确定每种电池类型的区别特征。通过拟合物理模型，然后通过数据清洗和机器学习技术来处理电池分类。结果表明，概念验证是成功的。这一初步的成功将进一步发展与该公司建立一个通用的电池监测和充电系统。

The importance of energy storage in the sustainable energy chain has resulted in an increasing number ofbattery technologies being introduced into the market. Utilizing each type of the battery to its full potentialrequires charging and discharging methods that are specific to the battery chemistry and the battery's state ofthe health. However, the technology behind the battery is not always known to the user. A method that enablesthe fast identification of the battery chemistry can be achieved through measuring its response to electrical orother perturbations. This approach could enable identification of the number of cells in a packaged battery andits appropriate and safe handling. Many major telecommunication device manufacturers have shown interest inthis area by filing patents for such a device. However, these patented systems are directed towards use withinthe company and mainly distinguishes between the various battery models specific to the manufacturer. Theyhave yet to show a working prototype of a universal battery identifier. During the first Engage grant supportedresearch, the specific characteristics of the various battery technologies were studied to determine thedistinguishing features of each battery type. Battery classification was handled by fitting to physical models andthen through data cleansing and machine learning techniques. The results showed that the proof of concept wassuccessful. This initial success will be further developed with the company to create a universal batterymonitoring and charging system.