Estimation of Health and Initial SOC based on Voltage Variation for LiPo battery

This paper aims to evaluate and exhibit the State of Health and initial State of Charge of a Lithium-ion Polymer Battery, which offers high power and energy density. SOH and SOC estimations are vital in terms of safety and fidelity of electric vehicles. As the other estimation techniques are quite challenging with complicated algorithms and models, the proposed method just uses voltage as a common factor, because of its dropping nature, along with the battery's age. The two salient features of Battery Management System (BMS) are SOH, determined with the voltage variation in the charging phase and SOC, determined using the exact voltage present in the battery at that instant and the maximum voltage obtained during each full charge cycle under no load conditions. The experimental setup includes a charger, LiPo battery of 11.1V, Arduino (ATMEGA 328 for the UNO) on I2C protocol, and a relay. The battery's full charge voltage is stored in Electrically Erasable Programmable Read-Only Memory (EEPROM) of the Arduino, which acts as an input for both the estimations. This study concentrates on the full charge voltage, each and every time, regardless of the age and condition of the battery for improvisation in the accuracy.