Python lib to talk to pylontech lithium batteries (US2000, US3000, ...) using RS485

Last update: Dec 28, 2022

Overview

python-pylontech

Python lib to talk to pylontech lithium batteries (US2000, US3000, ...) using RS485

What is this lib ?

This lib is meant to talk to Pylontech batteries using RS485. Sadly the protocol over RS485 is not some fancy thing like MODBUS but their own crappy protocol.

How to use this lib ?

First of all, you need a USB to RS485 converter. They are many available online for some bucks.

Then, you simply need to import the lib and start asking values:

>>> import pylontech
>>> p = pylontech.Pylontech()
>>> print(p.get_values())
Container: 
    CommandValue = 1
    NumberOfCells = 15
    CellVoltages = ListContainer: 
        3.325
        3.326
        3.325
        3.325
        3.325
        3.325
        3.325
        3.324
        3.324
        3.324
        3.326
        3.326
        3.326
        3.326
        3.326
    NumberOfTemperatures = 5
    AverageBMSTemperature = 30.01
    GroupedCellsTemperatures = ListContainer: 
        29.61
        29.61
        29.61
        29.61
    Current = 0
    Voltage = 49.878
    RemainingCapacity = 49.0
    TotalCapacity = 50.0
    CycleNumber = 0
>>> print(p.get_system_parameters())
Container: 
    CellHighVoltageLimit = 3.7
    CellLowVoltageLimit = 3.05
    CellUnderVoltageLimit = 2.9
    ChargeHighTemperatureLimit = 33.41
    ChargeLowTemperatureLimit = 26.21
    ChargeCurrentLimit = 10.2
    ModuleHighVoltageLimit = 54.0
    ModuleLowVoltageLimit = 46.0
    ModuleUnderVoltageLimit = 44.5
    DischargeHighTemperatureLimit = 33.41
    DischargeLowTemperatureLimit = 26.21
    DischargeCurrentLimit = -10.0

Dependencies

This lib depends on pyserial and the awesome construct lib.

Python lib to talk to pylontech lithium batteries (US2000, US3000, ...) using RS485

Related tags

Overview

python-pylontech

What is this lib ?

How to use this lib ?

Dependencies

Owner

Frank

[Link]deep_portfolo - Use Reforcemet earg ad Supervsed learg to Optmze portfolo allocato []

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

Code for the published paper : Learning to recognize rare traffic sign

MARS: Learning Modality-Agnostic Representation for Scalable Cross-media Retrieva

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Dynamic Realtime Animation Control

This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".

This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.

Intro-to-dl - Resources for "Introduction to Deep Learning" course.

Unofficial TensorFlow implementation of the Keyword Spotting Transformer model

This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

Facestar dataset. High quality audio-visual recordings of human conversational speech.

FindFunc is an IDA PRO plugin to find code functions that contain a certain assembly or byte pattern, reference a certain name or string, or conform to various other constraints.

[CVPR'22] Official PyTorch Implementation of Collaborative Transformers for Grounded Situation Recognition

Simple implementation of OpenAI CLIP model in PyTorch.

NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

Face recognize and crop them

DecoupledNet is semantic segmentation system which using heterogeneous annotations

torchsummaryDynamic: support real FLOPs calculation of dynamic network or user-custom PyTorch ops