EV CHARGE Model Documentation

Identifying the appropriate charging infrastructure to deploy at the right pace and location is key to achieving the zero-mission vehicle adoption needed to reach our climate goals. Since this is a complex task, the ICCT developed EV CHARGE: a Python-based model to assess charging infrastructure needs for light-duty vehicles (2 and 3 wheelers, passenger cars, and light commercial vehicles) at any given scale: from local (e.g. city district level) to supra-national (e.g. European Union level), for any market and at any time horizon, based on a list of required inputs. This model is intended for in-house utilization only and streamlines and standardizes charging needs assessment analyses.

EV CHARGE was first developed in 2023 by Jakob Schmidt, Marie Rajon Bernard, Gabe Hillman Alvarez, Arijit Sen, Josh Miller, and Lingzhi Jin.

Versions

EV CHARGE is under continuing development. Documentation of all versions since v1.0 can be found here.

  • EV CHARGE v1.2 Documentation
  • EV CHARGE v1.1 Documentation
  • EV CHARGE v1.0 Documentation