A Prototype for Estimating State-of-Charge in the Battery-powered Mobile System
1
조회
0
다운로드
0
인용
0
참고문헌
초록
This paper proposes a method for estimating state-of-charge (SOC) using the current error compensation technique in the battery-powered mobile system. In this paper, with the initial information for the lithium-ion battery, the measured current is compensated. In the target battery powered system, SOC is calculated using the Coulomb counting. Based on the experimental results, the estimated SOCs using open-circuit voltage (OCV) and the Coulomb counting are compared. By referencing the SOC with the OCV, the error compensation equation can be provided by adopting the regression analysis. Experimental results show that the error is under 2% on average. Compared to the traditional Coulomb counting with 7% error, the proposed error compensation technique can enhance the quality of the SOC estimation.
Abstract
This paper proposes a method for estimating state-of-charge (SOC) using the current error compensation technique in the battery-powered mobile system. In this paper, with the initial information for the lithium-ion battery, the measured current is compensated. In the target battery powered system, SOC is calculated using the Coulomb counting. Based on the experimental results, the estimated SOCs using open-circuit voltage (OCV) and the Coulomb counting are compared. By referencing the SOC with the OCV, the error compensation equation can be provided by adopting the regression analysis. Experimental results show that the error is under 2% on average. Compared to the traditional Coulomb counting with 7% error, the proposed error compensation technique can enhance the quality of the SOC estimation.
참고문헌 (12)
- Pop, V., Bergveld, "Battery Management Systems, vol. 9" (2002), Springer
- ARM Ltd, "ARM Cortex-M0 DesignStart Processor and v6-M Architecture", ~ (2010)
- H.J. Bergveld, "Battery Management Systems, Design by Modelling, Philips Research Book Series" (2002), Kluwer Academic Publishers
- O. Gerard, "Neural Network Adaptive Modelling of Battery Discharge Behavior", Lect. Notes Comput. Sci., 1327, pp.1095~1100 (1997)
- A.J. Salkind, "Determination of State-of-Charge and State-of-Health of Batteries by Fuzzy Logic Methodology", J. Power Sources, 80, pp.293~300 (1999)
- He Hongwen, "State of Charge Estimation of the Lithium-ion Battery Using an Adaptive Extended Kalman Filter based on an improved Thevenin model", IEEE Transactions on Vehicular Technology (2011)
- Oliver C., "Fundamentals of Applied Probability and Random Processes" (2008), Elsevier
- "Polynomial curve fitting, MATLAB function"[URL]
- "ARM IHI 0033A AMBA 3 AHB-Lite Protocol V.1 Specification", ARM LTD, ~
- "Cortex Microcontroller Software Interface Standard"[URL]
- "Sanyo UF103450"[URL]
- "Raspberry Pi"[URL]