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Universal battery identification system

通用电池识别系统

基本信息

批准号：
508334-2017
负责人：
Bizzotto, Dan
金额：
$ 0.91万
依托单位：
University of British Columbia
依托单位国家：
加拿大
项目类别：
Engage Plus Grants Program
财政年份：
2017
资助国家：
加拿大
起止时间：
2017-01-01 至 2018-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640408
关键词：
Universal battery identification system

项目摘要

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.

能源储存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。充分利用每种类型的电池需要特定于电池化学和电池健康状态的充放电方法。然而，电池背后的技术并不总是为用户所知。一种能够通过测量电池对电或其他扰动的响应来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，并对其进行适当和安全的处理。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来表现出对这一领域的兴趣。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识别器的工作原型。在第一次获得助学金支持的研究中，研究了各种电池技术的具体特性，以确定每种电池类型的区别特征。电池分类是通过拟合物理模型，然后通过数据清理和机器学习技术来处理的。结果表明，概念论证是成功的。这一初步的成功将与该公司进一步发展，以创建一个通用的电池监控和充电系统。