SOC Estimation of Non-Linear Lithium-Ion Battery using Modified Coulomb Counting Method with RUL

Abstract

Batteries are preferred source of energy in recent few decades, the development is vast. New development comes with new challenges, the coulomb counting method used to study battery behavior with an accurate measurement mechanism like estimating battery state of charge (SOC), battery's remaining useful life (RUL), working condition and changing tendency. To accomplish this experiment and algorithm efficiency, we used PIC18F MCU with IoT device to send data to the web server using GPRS, and can be utilized on an Electronic Vehicles (EV) and portable devices in real time to show what's really happening within the battery. The significant challenge of this method is, we might receive accumulative errors associated with initial SOC also the faults of quantities are undefined, hence to get over these restrictions, a part wise linear imprecise used with inconsistent constants to define the integrally non-linear relation amongst the SOC and open circuit voltage (VOC). In past few decades, Li-ion batteries has developed much consideration in EV applications as well as for mobile phone market due to its many advantages like, quick charging ability, more durable, light weight, good energy density, low rate of self-discharge etc. The SOC is key principle to find, control of Li-ion battery performance which is current area of interest in this publication. This paper will demonstrate how the SOC is controlled, observed with the help of Coulomb-counting algorithm.