Intelligent Battery Management System

The energy demands are more nowadays. The Lithiumion (Li-ion) batteries are developing by the EV companies to meet this energy demand. In the view of power and energy capability Li-ion batteries has more advantages than the lead acid batteries. These Li-ion batteries are costlier than Lead acid batteries. Li-ion batteries are delivering more energy and very sensitive once it is harmed. Hence, Li-ion batteries are requiring a management system for safety. This system is called as Battery Management Systems (BMS). The estimation of State of Charge (SoC) and State of Health (SoH) of battery is done by this proposed Battery Management Systems (BMS). This system is used to safeguard the battery from dangerous challenges and increases the lifetime of battery from the primary deprivation. The innovative methods to be employed for SoC approximation because the batteries are owning an inadequate quantity of charge. The lifetime of the battery is extended by the implementation of BMS. The battery State of Charge estimation methods are discussed in this paper. The SoC and DoD is calculated, monitored with coulomb counting and terminal voltage methods. The proposed system is verified with proteus simulation and hardware protype model is developed to check the output results.