ThunderFlowPro 0.1.1

Consumption estimation EV battery

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 this package using pip:

pip install ThunderFlowPro

## Usage
import ThunderFlowPro as T

# Example usage

lst_traj=T.consumption(df,
                CreateTrajectories=True,                               
                temporal_thr=1200,
                spatial_thr=50,
                minpoints=4,
                MapMatching='valhalla',
                ResultsByTrajectory=True
                )

## Features

Main Feature: EV Battery Consumption Estimation
This package offers a comprehensive set of tools and functionalities for estimating the battery consumption of Electric Vehicles (EVs). This feature is invaluable for various stakeholders in the electric vehicle industry, including EV manufacturers, fleet managers, and EV users. It enables them to make informed decisions and optimize EV usage and charging strategies.


## Documentation
For more detailed information and usage examples, please refer to the documentation on the github page.


## License
This project is licensed under the MIT License.
[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)

## Contributing
If you'd like to contribute to this project, please read our Contributing Guidelines.

## Contact
Author: Andres Cordeiro
Email: [e-mail]
Project Homepage: https://github.com/cordeiroandres/ThunderFlowPro