Robust State of Health Estimation for Lithium-Ion Batteries Using Machines Learning

Research output: Book/ReportPh.D. thesis

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Original languageEnglish
PublisherAalborg Universitetsforlag
Number of pages119
ISBN (Electronic)978-87-7573-972-1
DOIs
Publication statusPublished - 2021
SeriesPh.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet
ISSN2446-1636

Bibliographical note

PhD supervisor:
Prof. Remus Teodorescu, Aalborg University

Assistant PhD supervisor:
Assoc. Prof. Daniel-Ioan Stroe, Aalborg University

Keywords

  • Machine learning
  • Li-ion batteries
  • State of health estimation
  • Fuzzy entropy
  • Robust estimation

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