Open AccessStudy on Estimation Method for the Residual Capacity of Battery in Hybrid Devices Based on Grey Prediction
Author(s) -
Zhen-Hua Feng,
Guolei Si,
Xiao-Qian Yin,
Ping-Shan Shi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012095
Subject(s) - residual , battery (electricity) , excavator , computer science , battery capacity , algorithm , power (physics) , engineering , mechanical engineering , physics , quantum mechanics
In order to accurately estimate the residual capacity of battery in hybrid devices, the definitions of the residual capacity in variable current and its modified formula under the actual working condition are given. The data samples of the residual capacity are obtained from the input signals which come from the power curve of a parallel hybrid excavator being scaled down to the range of a single battery. Based on the analysis of several grey prediction algorithms on the samples, a fragmentation prediction scheme is proposed that the direct grey prediction model of the cumulative - average operator is adopted at the charge stage, and the grey prediction model of the variable weight buffer factor at the discharge stage. The result shows that the proposed method can fully and effectively improve the accuracy of prediction for the residual capacity of battery in hybrid devices.