Yunhong Che

Aalborg University

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Smart Battery

Articles (19)

Collaborators (11)

Remus Teodorescu

Aalborg University

Yusheng Zheng

Aalborg University

Ziyou Song

National University of Singapore (NUS)

Abhijit Kulkarni

Assistant Professor

Aalborg University

Jia Guo

Aalborg University

Søren Vilsen

Aalborg University

Kailong Liu

University of Warwick

UNITED KINGDOM

Kjeld Pedersen

Aalborg University

Xin Sui

Aalborg University

Arman Oshnoei

Aalborg University

Hoda Sorouri

Aalborg University

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Yunhong Che

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (19)

Collaborators (11)

Remus Teodorescu

Yusheng Zheng

Ziyou Song

Abhijit Kulkarni

Jia Guo

Søren Vilsen

Kailong Liu

Kjeld Pedersen

Xin Sui

Arman Oshnoei

Hoda Sorouri

Make your next move.

Yunhong Che

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (19)

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

A comprehensive review of hybrid battery state of charge estimation: Exploring physics-aware AI-based approaches

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

Big field data-driven battery pack health estimation for electric vehicles: A deep-fusion transfer learning approach

Co-estimation of state-of-charge and capacity for series-connected battery packs based on multi-method fusion and field data

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

Thermal state monitoring of lithium-ion batteries

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

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

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

Semi-Supervised Self-Learning-Based Lifetime Prediction for Batteries

Battery impedance spectrum prediction from partial charging voltage curve by machine learning

Battery impedance spectrum prediction from partial charging voltage curve by machine learning

Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles

Spatial-temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles

Transfer learning for battery smarter state estimation and ageing prognostics

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

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

Collaborators (11)

Remus Teodorescu

Yusheng Zheng

Ziyou Song

Abhijit Kulkarni

Jia Guo

Søren Vilsen

Kailong Liu

Kjeld Pedersen

Xin Sui

Arman Oshnoei

Hoda Sorouri

Make your next move.