Published Paper Details:

Engine drives vehicle by generating power. To generate this power engine need fuel. Imagine a vehicle without fuel is nothing but the piece of iron. Today where automotive world reach it was beautiful journey, this journey consists lots of ups and downs. Modern automotive face lots of challenges, out of all big challenge is �limited fuel source� �Fuel prices� etc. fuel prices rapidly increases now a days. So Automotive world is looking for substitute for fuel energy. For example, Solar energy, Battery energy, etc. A battery vehicle also called E-Vehicle. it is successful outputs of Automotive world over a fuel problem. In conventional vehicle it is easy to determine remaining fuel, you can check in fuel meter on dashboard. Also, Time required to Refill fuel in conventional vehicle is several minutes. however, in electric vehicle it is more challenging to monitor remaining energy and compared to conventional vehicle an electric vehicle needs several hours to refill rather than several minutes. Also, safety, operation, and even the life of the passenger depends on the battery system. Battery management system keep a continue eye on the key operational parameters during charging and discharging for example voltages, currents and the battery internal and ambient temperature. The BMS system would normally estimate and provide inputs to protection devices which would disconnect the battery from the load or charger any of the parameters like SOC, over charge, under charge, high temperature, become out of limits. All parameters are monitor and well manage with using Neural network algorithm will be implemented on MATLAB software for the process