/paused_ev_charging

Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in electric vehicles", accepted to be published in Nature Communication

Primary LanguageJupyter NotebookMIT LicenseMIT

PAUSED-EV-CHARGINGDOI

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matplotlib numpy pandas tqdm Gurobi Version

This repository contains the codes and results which is published in the paper titled: "Enhancing smart charging in electric vehicles by addressing paused and delayed charging problems".

The following repository is maintained by Nico Brinkel and Nanda Kishor Panda

🌟 Highlights

✅ Many electric vehicle models lack the technical capabilities for effective smart charging, as they cannot handle charging pauses or delays. 🚗 🚙
✅ Technical charging tests reveal that around one-third of tested car models suffer from these charging issues.
✅ Model simulations suggest that eliminating these problems would double the smart charging potential for all applications.
✅ Concrete legal and practical solutions are proposed to address these issues. ⚖️

File organization

The repository is organized as follows:

Installation

Step 1: Clone the repository

git clone <repo-link>

Step 2: Install the required packages The code is tested on Python Version. The required packages are listed in the requirements.txt file. To install the required packages, run the following command:

pip install -r requirements.txt

or

conda install --file requirements.txt

For the optimization solver, we used gurobipy . You can install the Gurobi license by following the instructions in the Gurobi Documentation for Mac and Linux and Gurobi Documentation for Windows.

Cite this work

If you re-use part of the code or some of the functions, please consider citing the repository:

@software{brinkel_2024_10932796,
  author       = {Brinkel, Nico and
                  Nanda Kishor Panda},
  title        = {{ROBUST-NL/paused\_ev\_charging: Publication ready 
                   code}},
  month        = apr,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {v0.1.0},
  doi          = {10.5281/zenodo.10932796},
  url          = {https://doi.org/10.5281/zenodo.10932796}
}

Funding

This study was supported by the Topsector Energy subsidy scheme of the Dutch Ministry of Economic Affairs and Climate Policy through the project "Slim laden met flexibele nettarieven in Utrecht (FLEET)", by the Dutch Ministry of Economic Affairs and Climate Policy and the Dutch Ministry of the Interior and Kingdom Relations through the ROBUST project under grant agreement MOOI32014 and by the European Union’s Horizon Europe Research and Innovation program through the SCALE project (Grant Agreement No. 101056874).