Title :
An analytical battery state of health estimation method
Author :
Sarikurt, Turev ; Ceylan, Murat ; Balikçi, Abdulkadir
Author_Institution :
Dept. of Electron. Eng., Gebze Inst. of Technol., Gebze, Turkey
Abstract :
Decrease in state of health (SoH) of a battery is a measure of end of battery life. Also available battery capacity is dependent on battery life either. Thus accurate estimation of SoH and cycle number of a battery are very important. In this study a method was proposed in order to estimate battery cycle number using ECE 15 driving cycle. Also another method to obtain SoH of a battery using the cycle number is introduced. The results of both methods are compared with the outputs of an experimental setup.
Keywords :
secondary cells; analytical battery state of health estimation method; battery capacity; Aging; Analytical models; Batteries; Equations; Estimation; Integrated circuit modeling; Mathematical model; battery model; cycle number; lithium-ion battery; state of health (SoH);
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864855
