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PyBatteryID – A Python Package for Data-Driven Battery Model Identification using LPV Framework Cover

PyBatteryID – A Python Package for Data-Driven Battery Model Identification using LPV Framework

Journal of Open Research Software
Volume 14 (2026): Issue 1
By: Muiz Sheikh,  Tijs Donkers and  Henk Jan Bergveld  
Open Access
|Feb 2026

Authors

Muiz Sheikh

a.m.a.sheikh@tue.nl

Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612AP, Eindhoven

Tijs Donkers

m.c.f.donkers@tue.nl

Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612AP, Eindhoven

Henk Jan Bergveld

h.j.bergveld@tue.nl

Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612AP, Eindhoven; NXP Semiconductors, High Tech Campus 60, 5656AG Eindhoven
DOI: https://doi.org/10.5334/jors.595 | Journal eISSN: 2049-9647
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Language: English
Submitted on: Jul 7, 2025
|
Accepted on: Jan 21, 2026
|
Published on: Feb 4, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
lithium-ion batteries,
linear parameter-varying framework,
data-driven modelling,
battery management system

© 2026 Muiz Sheikh, Tijs Donkers, Henk Jan Bergveld, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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