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。要充分利用每种类型的电池，就需要根据电池的化学成分和电池的健康状态制定具体的充电和放电方法。然而，电池背后的技术并不总是为用户所知。通过测量其对电或其他扰动的响应，可以实现快速识别电池化学的方法。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都对这一领域表现出兴趣，并为这种设备申请了专利。然而，这些专利系统是针对公司内部使用的，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标识符的工作原型。在第一次参与资助的研究中，研究了各种电池技术的具体特征，以确定每种电池类型的显著特征。电池分类是通过拟合物理模型，然后通过数据清洗和机器学习技术来处理的。结果表明，概念验证是成功的。这一初步成功将与该公司进一步发展，创造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.