gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems

Python Submitted 29 May 2020Published 07 February 2021
Review

Editor: @Kevin-Mattheus-Moerman (all papers)
Reviewers: @moorepants (all reviews), @dineshresearch (all reviews)

Authors

Praneeth Balakrishna, Gerrit Book, Wilhelm Kirchgässner (0000-0001-9490-1843), Maximilian Schenke (0000-0001-5427-9527), Arne Traue, Oliver Wallscheid (0000-0001-9362-8777)

Citation

Balakrishna et al., (2021). gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. Journal of Open Source Software, 6(58), 2498, https://doi.org/10.21105/joss.02498

@article{Balakrishna2021, doi = {10.21105/joss.02498}, url = {https://doi.org/10.21105/joss.02498}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {58}, pages = {2498}, author = {Praneeth Balakrishna and Gerrit Book and Wilhelm Kirchgässner and Maximilian Schenke and Arne Traue and Oliver Wallscheid}, title = {gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

electric drive control electric motors OpenAI Gym power electronics reinforcement learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066