State of health (SOH) forecasting of lithium-ion batteries (LIBs) concerns the influence of battery usage on their SOH which is especially relevant for battery electric vehicle (BEV) fleets. Until now, applicability of SOH forecasting methods to BEV operation has been limited due to a) smaller operational variability from laboratory operation compared to real-world vehicle operation, b) assuming the same load during whole battery life, c) a focus of methods only on cells, but not on battery systems assembled in BEV, and d) a lack of transferability to different battery domains, e.g., new battery types or new operational domains. These limitations have been tackled by the SOH forecasting method presented.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Conclusion


    Weitere Titelangaben:

    AutoUni – Schriftenreihe


    Beteiligte:


    Erscheinungsdatum :

    02.02.2024


    Format / Umfang :

    3 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Conclusion

    Hollander, Justin B. | Springer Verlag | 2023


    Conclusion

    Berthou, Pascal / Baudoin, Cédric / Gayraud, Thierry et al. | Wiley | 2015


    Conclusion

    Boer, Roland | Wiley | 2007


    Conclusion

    Fournier, Guy / Konstantas, Dimitri | Springer Verlag | 2024

    Freier Zugriff

    Conclusion

    Laterrasse, Jean | Wiley | 2019