Title :
End of discharge time prediction for Li-ion battery
Author :
Zhenwei Zhou ; Zhengyu Shi ; Guo Ai ; Yudong Lu ; Yunfei En
Author_Institution :
Applic. of Electron. Component Lab., China Electron. Product Reliability, Guangdong, China
Abstract :
How to predict the end of discharge time for Li-ion battery is one of the most important problems in the field of battery health management. This paper proposes a linear regression model to describe the relationship between the end of discharge time and discharge cycle. Moreover, the model verification shows that the discharge cycle has significant effect on the end of discharge time and that the proposed model has good fitness in fitting Li-ion discharge data. This paper also presents the end of discharge time predictions for Li-ion battery based on the linear regression model.
Keywords :
battery management systems; regression analysis; secondary cells; battery health management; discharge cycle; discharge data; discharge time prediction; linear regression model; model verification; secondary cells; Batteries; Computational modeling; Data models; Discharges (electric); Linear regression; Predictive models; Testing; Li-ion battery; end of discharge time prediction; hypothesis testing; linear regression model;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625958