Abstract:

The advent of Li-ion batteries has reinforced the automobile sector to develop long-range BEVs. These batteries have superior performance concerning specific energy, energy density, cycle lifespan, low self-discharge, and are environment-friendly. However, these batteries can be dangerous if they are not operated within their safety operation window. Therefore, an effective battery management system is indispensable for ensuring the safety of passengers. In this thesis, a battery management system has been developed for EVs to ensure reliable, efficient and consistent operation of batteries under different environmental and driving conditions. Firstly, for the development of battery management system a high fidelity battery model dependent on different operating conditions is developed. Then battery model parameters are identified using manufacturer data sheet without conducting expensive and time-consuming experiments. Secondly, this research work focuses on the estimation of internal states of batteries such as the State of Charge, State of Health and Remaining Useful Life. Determination of internal states of batteries helps in maintaining battery operation in safe operating window.