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Data, code and results behind the journal article: "Influence of Ageing Model, Battery Age, and Vehicle-to-Grid Strategy on Battery Degradation" (under review). Alvaro Menendez Agudin , Yiwei Hu , Koen Linders , Pavol Bauer , Gautham Ram Chandra Mouli

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 23 oktober 2026

Wat erin zit

This dataset supports a study on how much the estimated battery degradation of an EV depends on the ageing model used, the age of the battery and the V2G strategy that shapes its power profile. A week of operation of a 50-EV fleet is optimised with a mixed-integer linear programme that includes a linearised ageing model for four strategies (smart charging, stationary, locational and relocation V2G) and two objectives (minimum cost and minimum ageing), with sensitivities to charger power, commuting share, time resolution (seconds with the WLTP cycle vs. minutes) and battery age. The resulting power and state-of-charge profiles are evaluated with seven empirical ageing models over horizons of one and ten years. The dataset contains weekly mobility tables, EV technical data, the WLTP cycle, 5-minute price, load and PV data, the optimised EV profiles of each scenario, the ageing tables of the seven-model Python toolbox, the code, and the figures of the article.

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