Consumption estimation EV battery
Project description
ThunderFlowPro
ThunderFlowPro EV-battery-estimation-calculator This code estimates electric vehicle (EV) battery consumption and speed based solely on GPS coordinates and timestamps. It processes the data to calculate distances and time intervals between points, allowing for the computation of average speeds. An energy consumption model is applied, considering speed and battery characteristics, to estimate energy usage.
Installation
You can install ThunderFlowPro using pip:
pip install ThunderFlowPro
Documentation
For more detailed information and usage examples, please refer to the documentation.
License
This project is licensed under the MIT License.
Contributing
If you'd like to contribute to this project, please read our Contributing Guidelines.
Contact
Author: Andres Cordeiro Email: cordeiroandres@gmail.com Project Homepage: https://github.com/cordeiroandres/ThunderFlowPro
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ThunderFlowPro-0.1.0.tar.gz.
File metadata
- Download URL: ThunderFlowPro-0.1.0.tar.gz
- Upload date:
- Size: 15.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ec105127631d79eab16142bb1f0522a8ef9a8ab55b03c69cd2fa070b2eed2d90
|
|
| MD5 |
44f0341df7287157bb020f3215b367a9
|
|
| BLAKE2b-256 |
419342aae4b70025add3e587b3e4d0b4949fc8e761f734dcf2fc2733b27fb524
|
File details
Details for the file ThunderFlowPro-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ThunderFlowPro-0.1.0-py3-none-any.whl
- Upload date:
- Size: 15.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3c1946f45c58beb30f84d74b674af37435a062048c15f65a8f10afc0668285b
|
|
| MD5 |
34c05dc9c82b5952bd64484e14a5dcce
|
|
| BLAKE2b-256 |
563256bb1a6968ed117f0289eebb0398d4277f26f86340fc29b67649ee0e4c49
|
