BatCAT deliverable 5.1: Cellular neural networks and multicriteria optimization

This deliverable reports on the development and results of advanced battery health optimization and performance within T5.1 of the project. The work focuses on creating a self-supervised cellular neural network predictor to provide real-time and adaptable battery state of health by leveraging a student-teacher learning framework. Additionally, the deliverable covers T5.2, i.e., the implementation of multicriteria optimization for dynamic, staged constant-current charging protocols, which enables optimized balance charging speed, safety, and battery longevity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-29
DOI
https://doi.org/10.5281/zenodo.18063372
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

BatCAT deliverable 5.1: Cellular neural networks and multicriteria optimization

Marco Baldan, Fadi Al Machot, Peter Klein, Aditya Dey
Zenodo (CERN European Organization for Nuclear Research)
Advanced Battery Technologies Research
article

BatCAT deliverable 5.1: Cellular neural networks and multicriteria optimization

Marco Baldan, Fadi Al Machot, Peter Klein, Aditya Dey
article en

Abstract

This deliverable reports on the development and results of advanced battery health optimization and performance within T5.1 of the project. The work focuses on creating a self-supervised cellular neural network predictor to provide real-time and adaptable battery state of health by leveraging a student-teacher learning framework. Additionally, the deliverable covers T5.2, i.e., the implementation of multicriteria optimization for dynamic, staged constant-current charging protocols, which enables optimized balance charging speed, safety, and battery longevity.

Zenodo (CERN European Organization for Nuclear Research)
Fraunhofer Institute for Industrial Mathematics (DE), Fraunhofer Institute for Industrial Engineering (DE), Norwegian University of Life Sciences (NO)
Openalex Percentile: Top 45%
Advanced Battery Technologies Research
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BatCAT deliverable 5.1: Cellular neural networks and multicriteria optimization — Marco Baldan, Fadi Al Machot, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS