Welcome to PVfit

PVfit is a cloud-based computational service for photovoltaic (PV) device performance model calibration from current-voltage (I-V) curve measurements. You input I-V measurement data and PVfit outputs optimal diode-model parameters that fit the data.

This paper describes our modeling approach. This followup paper demonstrates our algorithm fitting our single-diode model to synthetic and laboratory I-V curve matrix measurement data. Open-source computational code for further analyses, such as fit quality and performance predictions, is available (in Python) at https://github.com/markcampanelli/pvfit.

Here is our implementation roadmap—

• Single-Diode
  • 5-parameter single-diode equation (SDE) from one/more I-V curves at one irradiance and temperature
  • 6-parameter single-diode model (SDM) from a collection of I-V curves over a range of irradiance and temperature
  • PV-based effective irradiance and cell temperature sensing (in progress, poster)
  • Parameter initial condition selection and parameter fixing (in progress)
• Double-Diode
  • 7-parameter double-diode equation (DDE) from one/more I-V curves at one irradiance and temperature (on hold)
  • 8-parameter double-diode model (DDM) from a collection of I-V curves over a range of irradiance and temperature (on hold)
• Website and API Useability Improvements (ongoing)
• Automated Model Ranking and Selection (future work)
• Uncertainty Analysis of Calibration Parameters (future work)

Check the News page for the latest updates and API version changes.

Visit the About page for more information and to make feature requests or report issues.