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EV Fleet Simulator

Predict the energy usage of a fleet of electric vehicles.
https://gitlab.com/eputs/ev-fleet-sim

data analysis electric vehicles public transport python renewable energy

Last synced: about 11 hours ago
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Repository metadata

This software computes the electrical energy requirements of a fleet of vehicles. It also determines how much of this energy can be offset by renewable energy. It does all this by analyzing the fleet's GPS traces and applying EV and PV models. Project website: 🔗 www.ev-fleet-sim.online

README

        

> Notice: Please visit https://gitlab.com/eputs/ev-fleet-sim to ensure that you
> are viewing the official, up-to-date version of this repository.

Electric-Vehicle Fleet Simulator
================================

This program is used to predict the energy usage of a fleet of electric vehicles. The program receives as input GPS traces of each of the vehicles of the fleet. These GPS traces can be obtained, for example, by installing tracking devices onto the vehicles of a fleet for which you want to predict the electrical energy usage. This is especially useful for projects whereby an existing petrol/diesel fleet is to be converted to electric vehicles. The program will analyse the vehicle's driving and stopping patterns in order to predict the amount of energy used and the amount of time that the vehicle can be charged during the average day. In addition, the program makes provisions to calculate how much of the energy can be provided for by renewable-energy sources.

Please refer to the accompanying open-access journal article publication: [Ray of hope for sub-Saharan Africa's paratransit: Solar charging of urban electric minibus taxis in South Africa](https://doi.org/10.1016/j.esd.2021.08.003). The article shows how this program can be used to derive meaningful results.

Licensing
=========

This software is [licensed under GPLv3](./LICENSE)

If you use the software, or a derivative thereof, you are required to attribute the original authors using the following citation:

> Abraham, C. J., Rix, A. J., Ndibatya, I., & Booysen, M. J. (2021). Ray of
> hope for sub-Saharan Africa's paratransit: Solar charging of urban electric
> minibus taxis in South Africa. Energy for Sustainable Development, 64,
> 118-127. https://doi.org/10.1016/j.esd.2021.08.003

Bibtex

```
@article{abraham2021,
title = {Ray of hope for sub-Saharan Africa's paratransit: Solar charging of urban electric minibus taxis in South Africa},
journal = {Energy for Sustainable Development},
volume = {64},
pages = {118-127},
year = {2021},
issn = {0973-0826},
doi = {https://doi.org/10.1016/j.esd.2021.08.003},
url = {https://www.sciencedirect.com/science/article/pii/S0973082621000946},
author = {C.J. Abraham and A.J. Rix and I. Ndibatya and M.J. Booysen},
keywords = {Electric vehicle, Paratransit, Minibus taxi, Demand management, Renewable energy},
abstract = {Minibus taxi public transport is a seemingly chaotic phenomenon in the developing cities of the Global South with unique mobility and operational characteristics. Eventually this ubiquitous fleet of minibus taxis is expected to transition to electric vehicles, which will result in an additional energy burden on Africa's already fragile electrical grids. This paper examines the electrical energy demands of this possible evolution, and presents a generic simulation environment to assess the grid impact and charging opportunities. We used GPS tracking and spatio-temporal data to assess the energy requirements of nine electric minibus taxis as well as the informal and formal stops at which the taxis can recharge. Given the region's abundant sunshine, we modelled a grid-connected solar photovoltaic charging system to determine how effectively PV may be used to offset the additional burden on the electrical grid. The mean energy demand of the taxis was 213kWh/d, resulting in an average efficiency of 0.93kWh/km. The stopping time across taxis, a proxy for charging opportunity, ranged from 7.7 h/d to 10.6 h/d. The energy supplied per surface area of PV to offset the charging load of a taxi while stopping, ranged from 0.38 to 0.90kWh/m2 per day. Our simulator, which is publicly available, and the results will allow traffic planners and grid operators to assess and plan for looming electric vehicle roll-outs.}
}
```

Please also click the "star" button on the top of our [code repository](https://gitlab.com/eputs/ev-fleet-sim) so that we know how many people our software is benefitting. This helps us to justify future funding and work on the project. Thank you!

Documentation
=============

To learn how to install and use this software, please refer to the [documentation](https://ev-fleet-sim.online/docs.html).

If you learn better with videos, here is a video tutorial of the software:

![Video Tutorial](./docs/assets/images/youtube_tutorial.png)

Getting Support
===============

Welcome to our EV-Fleet-Sim community! You can join our community's Matrix
channel (an open-source alternative of Microsoft Teams):
https://matrix.to/#/#ev-fleet-sim:matrix.org.

For more help, please don't hesitate to contact me on my e-mail address:
`chris [at] gmail [dot] com` or via Matrix:
https://matrix.to/#/@abrac:matrix.org.

If you have encountered any issues/bugs with the software, you can report them in our [issues tracker](https://gitlab.com/eputs/ev-fleet-sim/-/issues).

Also remember to press the "star" and "notification bell" on the top of the
GitLab page. That way, you will be notified of the latest commits and
pull-requests.


Committers metadata

Last synced: 1 day ago

Total Commits: 293
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Avg Commits per committer: 97.667
Development Distribution Score (DDS): 0.01

Commits in past year: 92
Committers in past year: 1
Avg Commits per committer in past year: 92.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Chris Abraham 4****c@u****m 290
unknown l****l@o****e 2
Chris Abraham c****m@g****m 1

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Package metadata

pypi.org: ev-fleet-sim

This software computes the electrical energy requirements of a fleet of vehicles. It also determines how much of this energy can be offset by renewable energy.

  • Homepage: https://ev-fleet-sim.online
  • Documentation: https://ev-fleet-sim.online/docs.html
  • Licenses: GNU General Public License v3 (GPLv3)
  • Latest release: 1.12.1 (published 1 day ago)
  • Last Synced: 2024-02-27T18:00:30.463Z (1 day ago)
  • Versions: 61
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 1,135 Last month
  • Rankings:
    • Dependent packages count: 10.095%
    • Forks count: 15.32%
    • Average: 18.406%
    • Stargazers count: 21.524%
    • Dependent repos count: 21.615%
    • Downloads: 23.474%
  • Maintainers (1)

Dependencies

docs/Gemfile rubygems
  • jekyll-feed >= 0 development
  • jekyll-seo-tag >= 0 development
  • jekyll-sitemap >= 0 development
  • jekyll >= 0
  • minima >= 0
  • webrick >= 0

Score: 10.214202324098482