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.

储能在可持续能源链中的重要性导致了越来越多的鲍特里技术引入市场。利用每种类型的电池来实现特定于电池化学和电池状态的全部电势充电和排放方法。但是，用户并不总是知道电池背后的技术。可以通过测量其对电扰动的响应来实现电池化学的快速识别的方法。这种方法可以识别包装电池中的电池数量和适当安全的处理。许多主要的电信设备制造商通过为该设备申请专利表现出对这一地区的兴趣。但是，这些专利系统是针对公司内部使用的，并主要区分制造商特定的各种电池模型。他们尚未显示通用电池标识符的工作原型。在首次参与拨款支持研究期间，研究了各种电池技术的特定特性，以确定每种电池类型的分辨特征。电池分类是通过与物理模型拟合来处理的，然后通过数据清洁和机器学习技术来处理。结果表明，概念证明是成功的。该公司将在公司中进一步开发这一最初的成功，以创建通用的电池仪和充电系统。