Predicting battery life via observed voltage and usage characteristics**

通过观察电压和使用特性预测电池寿命**

• 批准号: 537659-2018
• 负责人: HamiltonWright, Andrew
• 金额: $ 1.82万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=652949
• 关键词: Predicting; battery; life; via; observed

The commercial partner, Skyjack Inc., has identified a need to track equipment usage based on available telemetry in order to predict battery life. By correlating signals available from over a thousand pieces of equipment in the field with the battery life observed during the research period, it is expected that usage that causes failing batteries can be identified. The ability to predict battery failure is of financial interest to Skyjack. Incorporation of this technology will increase the value of a product produced in Canada.**

商业合作伙伴Skyjack Inc.已经确定需要根据可用的遥测技术跟踪设备的使用情况，以预测电池寿命。通过将现场一千多台设备的可用信号与研究期间观察到的电池寿命相关联，预计可以识别导致电池失效的使用情况。预测电池故障的能力关系到Skyjack的经济利益。采用这项技术将增加在加拿大生产的产品的价值