Welcome to sysLoss

Welcome to sysLoss#

sysLoss is a tool for analyzing 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.

Installation#

To get started with sysLoss, install the python package from PyPI with:

$ pip install sysloss

Upgrade to the latest release with:

$ pip install --upgrade sysloss

Or install with conda:

$ conda install conda-forge::sysloss

First system model#

A simple, battery-powered Bluetooth sensor can be defined as simple as this:

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

bts.solve()

result

Diagrams#

sysLoss can also produce graphical power tree diagrams:

import sysloss.diagram as sd

sd.make_diag(bts, fname="bts.png")

tree

And heat diagrams:

sd.make_hdiag(bts, fname="bts-heat.png")

heat

Next step#

The best way to learn sysLoss is to explore the tutorials section. The tutorials are Jupyter Notebooks that can also be found in the GitHub repository under docs/nb.