sysLoss is a tool for analyzing power trees, system power and losses. From the smallest IoT sensor to large industrial installations. The tool is efficient and easy to use, the analysis result provides a detailed report on voltages, currents, power and efficiency for every component defined in the system. Output format is Pandas DataFrame: Create charts, plots and export to Excel and other formats.
$ pip install syslossor
$ conda install conda-forge::syslossAnalyze the power tree of a simple battery-powered bluetooth sensor:
from sysloss.components import *
from sysloss.system import System
bts = System("Bluetooth sensor", Source("CR2032", vo=3.0, rs=10))
bts.add_comp("CR2032", comp=Converter("Buck 1.8V", vo=1.8, eff=0.87))
bts.add_comp("Buck 1.8V", comp=PLoad("MCU", pwr=13e-3))
bts.add_comp("CR2032", comp=Converter("Boost 5V", vo=5.0, eff=0.82))
bts.add_comp("Boost 5V", comp=RLoss("RC filter", rs=6.8))
bts.add_comp("RC filter", comp=ILoad("Sensor", ii=6e-3))
bts.tree()Bluetooth sensor
└── CR2032
├── Boost 5V
│ └── RC filter
│ └── Sensor
└── Buck 1.8V
└── MCU
df = bts.solve()
print(df)
Create graphical power tree diagrams:
import sysloss.diagram as sd
sd.make_diag(bts, fname="bts.png")
The documentation includes tutorials in the form of Jupyter notebooks, located in docs/nb.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
sysloss was created by Geir Drange. It is licensed under the terms of the MIT license.