FOTW# 1161, November 23, 2020: A Tool is Available for Estimating Charging Loads from Plug-In Electric Vehicles

The National Renewable Energy Laboratory has recently upgraded their Electric Vehicle Infrastructure Projection (EVI-Pro) Lite tool.

Vehicle Technologies Office

November 23, 2020
minute read time

Subscribe to Fact of the Week

The National Renewable Energy Laboratory has recently upgraded their Electric Vehicle Infrastructure Projection (EVI-Pro) Lite tool to inform industry stakeholders about the electricity needed to charge plug-in vehicles. Within the tool, users can customize to their own specifications for:

  • Location (city and state)
  • Number of plug-in vehicles
  • Average daily miles per vehicle
  • Average ambient temperature
  • All-electric vehicle share
  • Vehicle type
  • Share of workplace/home charging
  • Charging levels
  • Charging time of day.

Real-world travel data from consumers are used to model future requirements for residential, workplace, and public charging under different scenarios. The model results for the electric load profile for a fleet of 1,000 plug-in vehicles in Indianapolis, IN, are shown below as an example. EVI-Pro Lite is also useful for estimating the number of electric vehicle chargers needed in an area to sustain a certain number of plug-in vehicles.

Example of EVI-Pro Lite Results

Example of EVI-Pro Lite Results. In the Indianapolis area, supporting a fleet of 1,000 plug-in electric vehicles would result in the following electric load profile. Graph showing weekday and weekend electric load.

Note: EVI-Pro Lite has been developed through a collaboration between the National Renewable Energy Laboratory and the California Energy Commission, with additional support from the U.S. Department of Energy's Vehicle Technologies Office. Load profile analysis capabilities in EVI-Pro Lite have been developed through a collaborative effort between the National Renewable Energy Laboratory, Lawrence Berkeley National Laboratory, and Schatz Energy Research Center at Humboldt State University.

Source: Alternative Fuels Data Center, Electric Vehicle Infrastructure Projection (EVI-Pro) Lite.

Fact #1161 Dataset

Return to 2020 Fact of the Week