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

Xin Sui

Publikation: Ph.d.-afhandling

229 Downloads (Pure)

4 Tidsskriftartikel
1 Konferenceartikel i proceeding
1 Review (oversigtsartikel)

6 resultater

2021
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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183 Citationer (Scopus)

324 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
5 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.
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30 Citationer (Scopus)

177 Downloads (Pure)
On the feature selection for battery state of health estimation based on charging-discharging profiles
Li, Y., Stroe, D-I., Cheng, Y., Sheng, H., Sui, X. & Teodorescu, R., 2021, I: Journal of Energy Storage. 33, 16 s., 102122.
Publikation: Bidrag til tidsskrift › Review (oversigtsartikel) › peer review
93 Citationer (Scopus)
Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction
Sui, X., Jin, S., Huang, X., Wang, S., Teodorescu, R. & Stroe, D-I., 2021, I: Electronics. 10, 24, 18 s., 3126.
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29 Citationer (Scopus)

131 Downloads (Pure)
The Degradation Behavior of LiFePO4/C Batteries during Long-Term Calendar Aging
Sui, X., Maciej, S., Teodorescu, R. & Stroe, D-I., 20 mar. 2021, I: Energies. 14, 6, 21 s., 1732.
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33 Citationer (Scopus)

240 Downloads (Pure)

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

Publikation

Søgeresultater

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

On the feature selection for battery state of health estimation based on charging-discharging profiles

Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction

The Degradation Behavior of LiFePO4/C Batteries during Long-Term Calendar Aging