This project deals with battery modeling and simulation. The main aim of this is to know the mathematical relationship between the input and output parameters of the battery by the simulator using MATLAB. At present, we see that the accumulation of energy increases the interest in the electrical system such as electrical utilities, energy service companies, automobile manufacturers, etc. This paper describes the development of an intelligent safety system for batteries which is there in applications from last over the past hundred years, electricity has been the most versatile and widely used form of energy in the world. With the help of batteries, we can store electrical energy in the form of chemical energy and we can reuse this chemical energy in the form of electricity. These batteries have very strict requirements regarding safety, power density (acceleration), energy density (runtime), high efficiency, deep discharge cycles, or low self-discharge rates a name a few. From the chemicals available for building EV batteries. However, it cannot be directly measured from the battery and have a strong dependence on temperature and operating conditions. Several SOC estimation techniques are mentioned in the literature that requires cell models with different complexity and computer process requirements. In this work, an electrical equivalent The circuit model (EEC) was adopted, with its parameters estimated on the basis of experimental data collected through in-cell tests at different temperatures and charge / discharge current profiles. This is all done with the help of MATLAB software using all its different module types.