Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{157426,
        author = {Snehal Pathrikar and B. T. Deshmukh},
        title = {Electric Vehicle Charging Stations in Smart Campus Parking Lot},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {7},
        pages = {171-176},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157426},
        abstract = {Smart parking lots are intelligent locations that can accommodate both parking and electric vehicle charging services (EVs). The parking lot local controller (PLLC) has to communicate data with EV charging stations (EVCSs) through communication infrastructures in order to manage EV charging. Data loss and transmission lag, however, are inevitable and may seriously impair system performance. This project looks into the communication networks that underlie remote EVCS monitoring in a smart campus parking lot. Parking Area Network (PAN) and Campus Area Network are the two subnetworks that make up the communication network (CAN). PAN handles communication between EVs, charging stations, and PLLCs, while CAN permits specialised communication between PLLCs and a university-wide controller. We design communication models for the in-vehicle system and EVCSs based on the logical node idea of the IEC 61850 standard because one of the biggest barriers to EV systems is the lack of single communication architecture to integrate EVCS in the power grid. In modelling and simulations, various communication methods and configurations are taken into account, and end-to-end delay is assessed and analysed.
},
        keywords = {Communication network, electric vehicle (EV), electric vehicle charging station (EVCS), smart parking lot.},
        month = {},
        }