Title :
Estimation of battery state of charge using H∞ observer
Author :
Lin, Changlong ; Zhang, Fei ; Xue, Haipeng ; Lu, Xiaoying
Author_Institution :
College of Computer Science and Technology, Huaqiao University, Xiamen, China
Abstract :
Since an autonomous mobile robot often works with various tasks in different environments, the current of battery onboard is time-varying, hence the battery internal resistance is variable. This paper presents an estimation method for battery State of Charge (SOC) based on an H∞ observer to deal with the effect of the modeling errors caused by the variation of the internal resistance. The observer gain is obtained by solving a linear matrix inequality. The convergence and existence of the H∞ observer are analyzed. The effectiveness of the proposed method is verified on a prototype of a battery powered robot prototype for high voltage power transmission line inspection. Experimental results show that the proposed method can provide accurate SOC estimation.
Keywords :
Batteries; Eigenvalues and eigenfunctions; Integrated circuit modeling; Observers; Resistance; System-on-a-chip; H∞ observe; autonomous mobile robot; battery; high voltage power transmission line inspection; state of charge;
Conference_Titel :
Power Electronics and Motion Control Conference (IPEMC), 2012 7th International
Conference_Location :
Harbin, China
Print_ISBN :
978-1-4577-2085-7
DOI :
10.1109/IPEMC.2012.6258898