Academia.eduAcademia.edu

Outline

EVSE Simulator: A backbone for EV Infrastructure

2023, International Journal of Innovative Research in Computer and Communication Engineering

https://doi.org/10.15680/IJIRCCE.2023.1105070

Abstract

n developing country like India automotive industry growing rapidly. Growing automotive industry create pollution so government is taking initiative to curb the pollutions through Electric Vehicles. Electric vehicles (EVs) produce zero emissions at the tailpipe, which means that they do not release any pollutants or greenhouse gases into the air. This is in contrast to traditional gasoline-powered vehicles, which are a major source of air pollution and contribute to climate change. By reducing air pollution, EVs can help to improve air quality and protect the health of both humans and wildlife.However, one of the challenges with EV charging infrastructure in India is the lack of a comprehensive and coordinated strategy for its development. Currently, there are a number of different players involved in the development and operation of charging infrastructure, including government agencies, private companies, and electric utilities. This can lead to a fragmented and unevenly distributed charging network, which can be a significant hindrance for EV owners.Manufacturing of Electric vehicle supply equipment(EVSE) is complicated but its more complex to simulate therefore EVSE manufacturer want proper simulator that can measure the capacity, duty cycle, frequency and state change of it. This article includes all the parameter that EVSE manufacture want that can measure by simulator.

References (13)

  1. Ali Bahrami, EV Charging Definitions, Modes, Levels, Communication Protocols and Applied Standards, Research gate (2020).
  2. SAE, J1772_201210, "SAE Electric Vehicle and Plug in Hybrid Electric Vehicle Conductive Charge Coupler J1772_201710", 2017.
  3. G. Lee, T. Lee, Z. Low, S. H. Low and C. Ortega, "Adaptive charging network for electric vehicles", Proc. IEEE Global Conf. Signal Inf. Process., pp. 891-895, Dec. 2016.
  4. J. C. Mukherjee and A. Gupta, "A review of charge scheduling of electric vehicles in smart grid", IEEE Syst. J., vol. 9, no. 4, pp. 1541-1553, Dec. 2015.
  5. Z. J. Lee, S. Sharma, D. Johansson and S. H. Low, "ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research," in IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5113-5123, Nov. 2021, doi: 10.1109/TSG.2021.3103156.
  6. Q. Wang, X. Liu, J. Du and F. Kong, "Smart charging for electric vehicles: A survey from the algorithmic perspective", IEEE Commun. Surveys Tuts., vol. 18, no. 2, pp. 1500-1517, 2nd Quart. 2016.
  7. Z. J. Lee, T. Li and S. H. Low, "ACN-data: Analysis and applications of an open EV charging dataset", Proc. 10th ACM Int. Conf. Future Energy Syst., pp. 139-149, 2019.
  8. Xuesong Zhou, Youjie Ma, Lei Zou, Zhiqiang Gao, The current research on electric vehicle, IEEE2016.
  9. Electric Vehicle Supply Equipment (EVSE)" by U.S. Department of Energy: https://www.energy.gov/eere/electricvehicles/electric-vehicle-supply-equipment-evse
  10. Level 1, Level 2, or Level 3? EV Chargers Explained (howtogeek.com)
  11. BIS standards for electric vehicle charging: BIS_17017
  12. J1772 EV Simulator | Hackaday.io
  13. Charging Interfaces | Vector