Heavy-Duty Battery Electric Vehicle Infrastructure Scenario Analysis Model (HEVISAM)

HEVISAM Schematic
Figure 1: HEVISAM Framework


HEVISAM model has been released publicly in 2023, with state of the art data on station configurations, component technologies, and costs of interest to government agencies and industry stakeholders.


Recharging techno-economic assessment for a fleet of heavy-duty electric vehicles.


Provide platform for comparing the cost of recharging options. Identify cost drivers of current recharging technologies for various station configurations, and demand profiles of heavy-duty battery electric vehicles (HDBEVs).

Key Attributes

The Heavy-duty Electric Vehicle Infrastructure Scenario Analysis Model (HEVISAM) tool is based on the Heavy-duty Refueling Station Analysis Model (HDRSAM) developed by Argonne National Laboratory for fueling of medium- and heavy-duty hydrogen fuel cell fleets [14]. The objective of HEVISAM is to estimate the levelized charging cost in $/kWh for a direct current fast charging (DCFC) station designed for a specific medium- and heavy-duty battery electric fleet (M/HDEF). The levelized charging cost is the average net present cost of electricity delivered by the charging station over its lifetime, and includes capital cost, operating and maintenance (O&M) cost, and energy cost. HEVISAM enables users to:

  1. 1. Design a charging station to meet the charging requirement of a specific fleet that adopts a specific charging strategy;
  2. 2. Conduct discounted cash flow analysis of the charging station, taking into account station design parameters including the lifetime, size, and number of units for charging station equipment such as chargers (electric vehicle service equipment), pantographs, transformers, etc.;
  3. 3. Calculate
    1. i. The capital cost, including uninstalled equipment and installation cost,
    2. ii. The Operations and Maintenance cost, and
    3. iii. The energy cost of the charging station,
    4. iv. Calculate annual cash flows of the charging station, and
    5. v. Levelized charging cost in $/kWh

Key Assumptions & Data Sources
  • Cost of capital from vendors, industry and literature, and other economic parameters from H2A model system.
  • Depreciation and labor rates based on industry input.
  • Land requirements based on NFPA codes and standards.
  • Process and equipment technical information based on industry input and basic engineering calculations.
  • Cost of energy from the U.S. Energy Information Administration (EIA).

  • Charging demand parameters.
  • Cost and performance data of refueling components as a function of throughput and manufacturing volume.
  • Economic and financial parameters.

  • Levelized cost [$/kWh] of recharging.
  • Contribution of station components to levelized cost of $/kWh.
  • Capital, operating and maintenance costs of station components (e.g., size, and number of units for charging station equipment such as chargers (electric vehicle service equipment), pantographs, transformers, etc.).
  • Annual and cumulative cash flows by station components and total.
  • Land area, energy use, efficiency, discharge, and emissions.

Platform, Requirements & Availability

The HEVISAM model uses an Excel-based platform with graphical user interface, and is freely available to the public (see below for download link).

System Requirements

HEVISAM must be run in Microsoft Excel 2010® for full functionality. The model is available as an open-source software package copyright by UChicago Argonne, LLC. Prior to downloading the model, users must register.

Download HEVISAM Model
Download HEVISAM Guide