International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 104 - Number 4 |
Year of Publication: 2014 |
Authors: Prashanth K I, Dinesh Rao B, Aravind Sharma |
10.5120/18194-9111 |
Prashanth K I, Dinesh Rao B, Aravind Sharma . Estimation of SOC and SOH of Li-Ion Batteries. International Journal of Computer Applications. 104, 4 ( October 2014), 45-49. DOI=10.5120/18194-9111
Battery is the most widely used energy storage device. Since its invention, it has become a common power source for various household, commercial and industrial applications. Despite its ever increasing importance, many challenges remain unsolved to characterize and manage the battery. Among them, one fundamental issue is the estimation of state of charge (SoC), and Sate of health (SOH) of battery. SoC expressed in percentage, refers to the amount of capacity available in a battery. SoC is critical for modelling and managing batteries. If SoC is 100%, reflects a full battery and if SoC is 0%, reflects an empty battery. This project aims at developing an estimate the SoC and remaining runtime of a rechargeable battery. The combined estimation of SOC method is based on Coulomb Counting technique.