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

Xin Sui

doi:10.54337/aau466409590

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

Publikation: Ph.d.-afhandling

270 Downloads (Pure)

Originalsprog	Engelsk
Vejledere	Teodorescu, Remus, Hovedvejleder Stroe, Daniel-Ioan, Bivejleder
Udgiver	Aalborg Universitetsforlag
ISBN'er, elektronisk	978-87-7573-972-1
DOI	https://doi.org/10.54337/aau466409590
Status	Udgivet - 2021

Bibliografisk note

PhD supervisor:
Prof. Remus Teodorescu, Aalborg University

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

Adgang til dokumentet

10.54337/aau466409590

PHD_XS_E-pdfForlagets udgivne version, 4,26 MB

AUB Link

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1 Afsluttet

Robust State of Health Estimation for Lithium-ion Batteries using Machine Learning
Sui, X. (PI (principal investigator)), Teodorescu, R. (Supervisor) & Stroe, D.-I. (Supervisor)
01/11/2018 → 31/10/2021
Projekter: Projekt › Ph.d.-projekt

4 Tidsskriftartikel
1 Konferenceartikel i proceeding
1 Review (oversigtsartikel)

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Sui, X., He, S., Vilsen, S. B., Meng, J., Teodorescu, R. & Stroe, D.-I., okt. 2021, I: Applied Energy. 300, 21 s., 117346.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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258 Citationer (Scopus)

418 Downloads (Pure)
Fast and Robust Estimation of Lithium-ion Batteries State of Health Using Ensemble Learning
Sui, X., He, S., Vilsen, S. B., Teodorescu, R. & Stroe, D.-I., 16 nov. 2021, 2021 IEEE Energy Conversion Congress and Exposition (ECCE). s. 1393-1399 7 s. (IEEE Energy Conversion Congress and Exposition).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
6 Citationer (Scopus)

8 Downloads (Pure)
Fuzzy Entropy-based State of Health Estimation for Li-Ion Batteries
Sui, X., He, S., Meng, J., Teodorescu, R. & Stroe, D.-I., 2021, I: I E E E Journal of Emerging and Selected Topics in Power Electronics. 9, 4, s. 5125-5137 13 s., 9305691.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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36 Citationer (Scopus)

214 Downloads (Pure)

Citationsformater

@misc{2fa79435a7354434ac9a1d68c9b7c035,

title = "Robust State of Health Estimation for Lithium-Ion Batteries Using Machines Learning",

keywords = "Machine learning, Li-ion batteries, State of health estimation, Fuzzy entropy, Robust estimation",

author = "Xin Sui",

note = "PhD supervisor: Prof. Remus Teodorescu, Aalborg University Assistant PhD supervisor: Assoc. Prof. Daniel-Ioan Stroe, Aalborg University",

year = "2021",

doi = "10.54337/aau466409590",

language = "English",

series = "Ph.d.-serien for Det Ingeni{\o}r- og Naturvidenskabelige Fakultet, Aalborg Universitet",

publisher = "Aalborg Universitetsforlag",

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T1 - Robust State of Health Estimation for Lithium-Ion Batteries Using Machines Learning

AU - Sui, Xin

N1 - PhD supervisor: Prof. Remus Teodorescu, Aalborg University Assistant PhD supervisor: Assoc. Prof. Daniel-Ioan Stroe, Aalborg University

PY - 2021

Y1 - 2021

KW - Machine learning

KW - Li-ion batteries

KW - State of health estimation

KW - Fuzzy entropy

KW - Robust estimation

U2 - 10.54337/aau466409590

DO - 10.54337/aau466409590

M3 - PhD thesis

T3 - Ph.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet

PB - Aalborg Universitetsforlag

ER -

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

Bibliografisk note

Adgang til dokumentet

AUB Link

Projekter

Robust State of Health Estimation for Lithium-ion Batteries using Machine Learning

Publikation

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

Fast and Robust Estimation of Lithium-ion Batteries State of Health Using Ensemble Learning

Fuzzy Entropy-based State of Health Estimation for Li-Ion Batteries

Citationsformater