Abstract
This paper firstly analysed the characteristics of electric vehicle movement behaviour in multiple dimensions, extracts the correlation among electric vehicle energy storage characteristics and driving behaviour, state of charge (SOC), and charging behaviour, establishes a regional vehicle state transfer machine model, and dynamically adjusts the parking status of electric vehicles. Based on the measured data of electric vehicle charging, the probability distribution of charging behaviour parameters and their correlations were modelled in detail, the electric vehicle load was predicted, and the electric vehicle charging load model was established, and the available capacity assessment method was proposed.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
