BATTERY MANAGEMENT SYSTEM FOR ELECTRICAL VEHICLES

Abstract

Electric Vehicles are widely considered the future of the transportations industry, most developed nations are pushing towards cleaner modes of transportation. EVs are leading candidates for the same. One of the key components required for the economic and technological success of EVs is Battery Management System. A lot of research is being done on the topic, however the topic itself is very big, and the research is usually focused on some subtopic like SOH estimation. In this project, the target is to simulate the State Of Charge estimation, balancing technique and State Of Health estimation which are key functions of Battery Management System. Apart from this battery simulation is also done, there are many ways of doing it, they are briefly given in the report, the battery is simulated in two ways in the report, each model is specific to some estimation and hence is modelled with the details required. The ageing of battery is also simulated and the results under different conditions are compared. Different batteries are also compared for their usability specifically with respect to electrical vehicles. Overall, this report rather than going into particular functions of BMS has tried present all the major functions. The techniques simulated to estimate the SOC involves basic techniques like Coulomb Counting and a little more complex technique like PIO. The purpose of doing the project this way is to highlight the practical problems with the basic technique and how a little complex method overcomes those issues. The SOH estimation is done with the help of PSO algorithm, and the empirical battery model is used to validate the results.