Xin Sui

Aalborg University

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Articles (17)

Collaborators (10)

Remus Teodorescu

Aalborg University

Siyu Jin

Aalborg University

Yaqi Li

Aalborg University

Yusheng Zheng

Aalborg University

Yunhong Che

Aalborg University

Shan He

Aalborg University

Abhijit Kulkarni

Assistant Professor

Aalborg University

Jia Guo

Aalborg University

Søren Vilsen

Aalborg University

Leonid Gurevich

Aalborg University

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Xin Sui

Research Interests

Explore related searches

Contact this professor

Articles (17)

Collaborators (10)

Remus Teodorescu

Siyu Jin

Yaqi Li

Yusheng Zheng

Yunhong Che

Shan He

Abhijit Kulkarni

Jia Guo

Søren Vilsen

Leonid Gurevich

Make your next move.

Xin Sui

Research Interests

Explore related searches

Contact this professor

Articles (17)

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Real-Time Sensorless Temperature Estimation of Lithium-Ion Batteries Based on Online Operando Impedance Acquisition

Thermal state monitoring of lithium-ion batteries

Online Sensorless Temperature Estimation of Lithium-Ion Batteries Through Electro-Thermal Coupling

Small-Sample-Learning-Based Lithium-Ion Batteries Health Assessment: An Optimized Ensemble Framework

Boosting battery state of health estimation based on self-supervised learning

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

Unravelling and quantifying the aging processes of commercial Li(Ni 0.5Co 0.2Mn 0.3)O 2/graphite lithium-ion batteries under constant current cycling

Sensorless Temperature Monitoring of Lithium-ion Batteries by Integrating Physics with Machine Learning

State of Health Estimation for Smart Batteries using Transfer Learning with Data Cleaning

Smart Battery Technology for Lifetime Improvement

Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network

A Review of Lithium-Ion Battery Capacity Estimation Methods for Onboard Battery Management Systems: Recent Progress and Perspectives

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

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

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

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

Collaborators (10)

Remus Teodorescu

Siyu Jin

Yaqi Li

Yusheng Zheng

Yunhong Che

Shan He

Abhijit Kulkarni

Jia Guo

Søren Vilsen

Leonid Gurevich

Make your next move.