An intelligent energy management and control system for electric vehicle

This paper presents an intelligent energy management for electric vehicles (EVs) which contains automatic charging mechanism. Nowadays EVs charging the battery pack by using road side stations, park stations etc. are increase the travel time. To overcome this problem we have proposed an automatic charging with an intelligent energy management system using Kalman filtering (IEMK) capable for estimating and controlling the battery packs. Energy and battery management in EV is difficult and important under driving condition. This paper mainly focuses to estimate different parameters such as available power, state of charge, and thermal management. The algorithm has been implemented for the battery packs to maintain charging by both the solar and wind energy systems. IEMK provides optimal mean for estimating the parameters of battery pack and accurate under running condition. Simulation results show that the proposed method is stable, state of charge with 1% error, and robust compared with other systems.