@article{,
    author = {Karnehm, Dominic; Samanta, Akash; Anekal, Latha; Pohlmann, Sebastian; Neve, Antje; Williamson, Sheldon},
    title = {Comprehensive Comparative Analysis of Deep-Learning-Based State-of-Charge Estimation Algorithms for Cloud-Based Lithium-Ion Battery Management Systems},
    editor = {},
    booktitle = {},
    series = {},
    journal = {IEEE Journal of Emerging and Selected Topics in Industrial Electronics},
    address = {},
    publisher = {},
    edition = {},
    year = {2024},
    isbn = {},
    volume = {5},
    number =  {2},
    pages = {597-604},
    url = {},
    doi = {10.1109/JESTIE.2024.3373267},
    keywords = {Cloud computing ; Estimation ; Computer architecture ; Long short term memory ; State of charge ; Computational modeling ; Microprocessors ; Artificial intelligence ; battery management system (BMS) ; cloud computing ; data-driven techniques ; digital twining ; electric vehicles (EVs) ; lithium-ion batteries ; machine learning ; state estimation},
    abstract = {},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Elektrotechnik und Technische Informatik, ETTI 2 - Institut für Verteilte Intelligente Systeme, Professur: Neve, Antje},
    
    
}