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150W Electronic load / Battery discharge capacity tester Atorch DL24 graphing/control software.

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Jay2k1/Electronic_load_DL24

 
 

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Electronic_load_DL24

Python software for the Atorch DL24 electronic load.

This project was forked from https://github.com/misdoro/Electronic_load_px100.

Binary protocol

See the v2.70 binary Protocol description

Control software

Main features:

  • Control all load features
  • Voltage and Current plot vs time (new: power and MOSFET temperature can also be plotted)
  • Save logs to CSV at exit and at device reset
  • Internal resistance measurement at user-defined voltage steps
  • Software-defined CC-CV discharge to speed up capacity tests for low current discharge

Changes compared to the original project:

  • added power (Watts) and MOSFET temperature (°C) to the readings in the sidebar
  • added power (Watts) and MOSFET temperature plots/graphs with an additional secondary Y-axis each
  • added visibility toggle for each graph
  • added using the "cell label" text field value as graph title
  • force "tight layout" for the graph
  • combined all graph legends into a single legend

DISCLAIMER

For now, this is my personal fork.

  • I do not plan to maintain it
  • I do not plan to create binaries/installers for it (although it's probably easy since the original author has already set up Github Actions for it, so I might look into it at some point)
  • PRs are welcome, but I will likely not try to fix bugs myself that do not affect my own use of the application

The changes I have made were created with a lot of trial and error since python is not a language I know. Basically, I have no idea what I am doing here.

Installing

Sorry, no installer. Using this software requires the same steps on Win, Linux and macOS:

  • get python if you don't have it; I used 3.8
  • clone the repo or use "download zip"
  • run pip install --user -r requirements.txt
  • you can start the application by running python main.py

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150W Electronic load / Battery discharge capacity tester Atorch DL24 graphing/control software.

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  • Python 95.2%
  • NSIS 4.8%