The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This work is about the smart sensor which is the important technology in a smart grid. We have developed the system to monitor the battery condition by the attached sensor onto the WEB. The battery sensor is implemented with a microcomputer. We have developed a high accurate and practical SOC sensor using the Extended Kaiman filter as a function of the battery sensor.
In this paper, we propose a practical and accurate SOC (State of Charge) estimation system for Lithium- ion battery. The algorithm of SOC estimation uses the Extended Kalman filter, and estimates the SOC using OCV-SOC Curve, internal impedance, and the external current and voltage of a battery.12288; It is constructed on a discrete-time system model of battery model using numerical analysis method,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.