Title :
Grey prediction method for forecasting the capacity of lithium-ion batteries
Author :
Daehyun Kim;Taedong Goh;Minjun Park;Minhwan Seo;Sang Woo Kim
Author_Institution :
Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, 790-784, Korea
Abstract :
The battery performance is gradually decreased over its cycle life as a result of capacity loss. This paper proposes a capacity forecasting method of lithium-ion battery pack using a grey predictor. In this method, the forecasted capacity of battery pack is obtained from the previous four measured capacity data. The prediction performance of the proposed method is verified through a comparison with the prediction results from the curve-fitting based method. The experimental results show that the proposed method can accurately predict a one-step-ahead capacity value even with a small number of data.
Keywords :
"Fitting","Yttrium","Monitoring","Instruments","Estimation"
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
DOI :
10.1109/ICCAS.2015.7364793