Søren Vilsen

Aalborg University

Denmark

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Professors in Energy Engineering

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Articles (15)

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (9)

Remus Teodorescu

Aalborg University

DENMARK

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Yaqi Li

Aalborg University

DENMARK

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Søren Knudsen Kær

Aalborg University

DENMARK

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Yunhong Che

Aalborg University

DENMARK

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Shan He

Aalborg University

DENMARK

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Abhijit Kulkarni

Assistant Professor

Aalborg University

DENMARK

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Daniel-Ioan Stroe

Associate Professor at Aalborg University

Aalborg University

DENMARK

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Xin Sui

Aalborg University

DENMARK

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Zhongchao Sun

Aalborg University

DENMARK

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Søren Vilsen

Research Interests

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Articles (15)

On the Use of Randomly Selected Partial Charges to Predict Battery State-of-Health

On the Use of Randomly Selected Partial Charges to Predict Battery State-of-Health

Accuracy comparison and improvement for state of health estimation of lithium-ion battery based on random partial recharges and feature engineering

Dataset of lithium-ion battery degradation based on a forklift mission profile for state-of-health estimation and lifetime prediction

Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation

Degradation behaviour analysis and end-of-life prediction of lithium titanate oxide batteries

The development of machine learning-based remaining useful life prediction for lithium-ion batteries

Identification of mechanism consistency for LFP/C batteries during accelerated aging tests based on statistical distributions

A digital twin to quantitatively understand aging mechanisms coupled effects of NMC battery using dynamic aging profiles

Review of "grey box" lifetime modeling for lithium-ion battery

Smart Battery Technology for Lifetime Improvement

Transfer Learning for Adapting Battery State-of-Health Estimation from Laboratory to Field Operation

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

Battery state-of-health modelling by multiple linear regression

Log-Linear Model for Predicting the Lithium-ion Battery Age based on Resistance Extraction from Dynamic Aging Profiles

Collaborators (9)

Remus Teodorescu

Yaqi Li

Søren Knudsen Kær

Yunhong Che

Shan He

Abhijit Kulkarni

Daniel-Ioan Stroe

Xin Sui

Zhongchao Sun

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