Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles

Md Sazzad Hosen, Danial Karimi, Theodoros Kalogiannis, Ashkan Pirooz, Joris Jaguemont, Maitane Berecibar, Joeri Van Mierlo

Onderzoeksoutput: Articlepeer review

47 Citaten (Scopus)

Samenvatting

The understanding of battery aging has a significant influence on electric vehicle performance with optimized battery usage on the road. This paper presents a comprehensive electrical-aging model which has been developed by the thorough investigation of commercial Nickel-Manganese-Cobalt (NMC) 20Ah lithium-ion pouch cells. During a span of more than three years, detailed characterization and lifetime tests have been conducted on 75+ cells to build an extensive database of battery test results. A total of 39 aging test conditions covering 10 °C-45 °C temperatures, 20%-90% depth of discharge (DoD), 10%-80% storage state of charge (SoC), and 0.5C-3C current rate (C-rate) are performed to construct a robust electro-lifetime model. Within the scope of this research, the precision of the developed model is validated with both light and heavy-duty real-life dynamic profiles for the first time. More than a yearlong worldwide harmonized light vehicles (WLTC) cycling corresponds to very accurate root-mean-square error (RMSE) of 0.83% and 0.78% at 10 °C and 45 °C temperature, respectively. The model is also able to predict two types of inhouse developed heavy-duty profiles with an RMSE of 1.07% and 0.73%. The robust validation enables the developed tool to model complete aging and can be taken as base work towards online implementation.
Originele taal-2English
Artikelnummer101265
Pagina's (van-tot)101-265
Aantal pagina's12
TijdschriftJournal of Energy Storage
Volume28
Nummer van het tijdschriftC
DOI's
StatusPublished - apr 2020

Bibliografische nota

Funding Information:
This research has been made possible because of the BATTLE project which was funded by the Flemish Agency for Innovation by Science and Technology Directorate ( IWT130019 ). Further, the authors acknowledge ‘Flanders Make’ for the support to MOBI research group.

Funding Information:
This research has been made possible because of the BATTLE project which was funded by the Flemish Agency for Innovationby Science and Technology Directorate (IWT130019). Further, the authors acknowledge ?Flanders Make? for the support to MOBI research group.

Publisher Copyright:
© 2020 Elsevier Ltd

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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