Universal battery identification system

通用电池识别系统

• 批准号: 491895-2015
• 负责人: Bizzotto, Dan
• 金额: $ 1.78万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587128
• 关键词: Universal; battery; identification; system

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.

储能在可持续能源链中的重要性导致了越来越多的 电池技术被引入市场。利用每种类型的电池达到其全部潜力 需要特定于电池化学和电池状态的充电和排放方法 健康。但是，用户并不总是知道电池背后的技术。一种启用的方法 可以通过测量其对电气的响应或 其他扰动。这种方法可以识别包装电池中的单元格数，并且 它适当的处理。许多主要的电信设备制造商在该领域表现出兴趣 通过为该设备申请专利。但是，这些专利系统是针对在内部使用的 公司并主要区分制造商的各种电池模型。他们还没有 显示通用电池标识符的工作原型。在这个研究项目中，具体 将研究各种电池技术的特征，以确定 每种电池类型。电池分类将通过适合物理模型或数据来处理 清洁/机器学习技术。结果将用于创建通用电池监视和 充电系统。