The use of automobiles is increasing at a rapid pace. The number of electric vehicles is a major chunk of this. People’s
safety is a major concern and there is a need to safely test the batteries of automobiles both at the physical level and software
level. Software level testing requires manual work on different testing platforms, hence this research paper aimed to automate
the process of creating corpus from the test specification sheet, to improve the overall safety and reliability of the behavior of
battery and to bring efficiency in time.
Estimating the State of Charge for each cell is very important for measuring the available energy and vehicle’s range. In every
system which includes a battery for improved battery control, SOC estimation is very essential. The coulomb counting method for
the SOC estimation is achieved by developing electrochemical model-based estimation in MATLAB software for 3.6V
rechargeable lithium nickel manganese cobalt (LiNMC) cell
