Interpretable data-driven battery model based on tensor trains.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Original language	English
Title of host publication	MATHMOD Short Contribution Volume 2025 : 11th Vienna International Conference on Mathematical Modelling
DOIs	https://doi.org/10.34726/9001
Publication status	Published - 2025
Event	11th Vienna International Conference on Mathematical Modelling - TU Wien, Vienna, Austria Duration: 19 Feb 2025 → 21 Feb 2025 https://www.mathmod.at/

Conference	11th Vienna International Conference on Mathematical Modelling
Country/Territory	Austria
City	Vienna
Period	19/02/25 → 21/02/25
Internet address	https://www.mathmod.at/

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@inproceedings{4db10156b36d4fb198f14430d24da37e,

title = "Interpretable data-driven battery model based on tensor trains.",

keywords = "tensor trains, system identification, battery, synthetic training data, predictive maintenance",

author = "Emina Hadzialic and Alexander Ryzhov",

year = "2025",

doi = "10.34726/9001",

language = "English",

booktitle = "MATHMOD Short Contribution Volume 2025 : 11th Vienna International Conference on Mathematical Modelling",

note = "11th Vienna International Conference on Mathematical Modelling ; Conference date: 19-02-2025 Through 21-02-2025",

url = "https://www.mathmod.at/",

}

TY - GEN

T1 - Interpretable data-driven battery model based on tensor trains.

AU - Hadzialic, Emina

AU - Ryzhov, Alexander

PY - 2025

Y1 - 2025

KW - tensor trains

KW - system identification

KW - battery

KW - synthetic training data

KW - predictive maintenance

U2 - 10.34726/9001

DO - 10.34726/9001

M3 - Conference Proceedings with Oral Presentation

BT - MATHMOD Short Contribution Volume 2025 : 11th Vienna International Conference on Mathematical Modelling

T2 - 11th Vienna International Conference on Mathematical Modelling

Y2 - 19 February 2025 through 21 February 2025

ER -