Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.