DocumentCode :
261258
Title :
Reliable SOC estimation for battery powered embedded system
Author :
Johnsema, B. ; Janakiraman, K.
Author_Institution :
Embedded Syst., SASTRA Univ., Thanjavur, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Lifetime constraint is the smallest mischance that could spell disaster to the entire embedded network. At most real time embedded devices are supported by battery backup. Low Battery life feeble the efficiency of the device, this may lead to catastrophe in hard real time. Hence lifetime constraint is considered as the significant issue in embedded device. This paper describes the solution for efficient lifetime. Battery management system is modeled by microcontroller to monitor and protect the battery pack. For safe working of the battery state of charge, SOC must be estimated. To improve the accuracy of the SOC, Kalman filter algorithm is implemented. Battery management microcontroller communicates with host microcontroller to update the battery backup and state of health of the battery system. By the information received, host microcontroller schedules the task accordingly such that no catastrophic occurs.
Keywords :
Kalman filters; battery management systems; embedded systems; estimation theory; power engineering computing; Kalman filter algorithm; battery management microcontroller; battery management system; battery powered embedded system; lifetime constraint; real time embedded devices; reliable SOC estimation; state of charge; Batteries; Estimation; Kalman filters; Microcontrollers; System-on-chip; Temperature measurement; Voltage measurement; Battery management; Kalman filter algorithm; Microcontroller; State Of Charge (SOC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7034143
Filename :
7034143
Link To Document :
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