Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

H-index: 104

Europe-Denmark

About Remus Teodorescu

Remus Teodorescu, With an exceptional h-index of 104 and a recent h-index of 72 (since 2020), a distinguished researcher at Aalborg Universitet, specializes in the field of Power Electronics, Smart Batteries, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

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

Artificial Intelligence-Based State-of-Health Estimation of Lithium-Ion Batteries

Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement

A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks

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

Intelligent Cell Balancing Control for Lithium-Ion Battery Packs

Grid Impedance Shaping for Grid-Forming Inverters: A Soft Actor-Critic Deep Reinforcement Learning Algorithm

Remus Teodorescu Information

University

Aalborg Universitet

Position

Professor at

Citations(all)

65835

Citations(since 2020)

27171

Cited By

46146

hIndex(all)

104

hIndex(since 2020)

72

i10Index(all)

416

i10Index(since 2020)

303

Email

University Profile Page

Aalborg Universitet

Remus Teodorescu Skills & Research Interests

Power Electronics

Smart Batteries

AI

Top articles of Remus Teodorescu

Title

Journal

Author(s)

Publication Date

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

IEEE Transactions on Industrial Electronics

Yunhong Che

Florent Forest

Yusheng Zheng

Le Xu

Remus Teodorescu

2024/4/15

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

IEEE/ASME Transactions on Mechatronics

Yusheng Zheng

Yunhong Che

Xiaosong Hu

Xin Sui

Remus Teodorescu

2024/3/1

Artificial Intelligence-Based State-of-Health Estimation of Lithium-Ion Batteries

Sara Luciani

Stefano Feraco

Angelo Bonfitto

Nicola Amati

Andrea Tonoli

...

2022/8/14

Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement

arXiv preprint arXiv:2402.07777

Abhijit Kulkarni

Ahsan Nadeem

Roberta Di Fonso

Yusheng Zheng

Remus Teodorescu

2024/2/12

A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks

IEEE Transactions on Industrial Informatics

Roberta Di Fonso

Remus Teodorescu

Carlo Cecati

Pallavi Bharadwaj

2024/1/26

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

IEEE Transactions on Industry Applications

Xin Sui

Shan He

Remus Teodorescu

2024/1/9

Intelligent Cell Balancing Control for Lithium-Ion Battery Packs

Hoda Sorouri

Arman Oshnoei

Remus Teodorescu

2024

Grid Impedance Shaping for Grid-Forming Inverters: A Soft Actor-Critic Deep Reinforcement Learning Algorithm

Arman Oshnoei

Hoda Sorouri

Soroush Oshnoei

Remus Teodorescu

Frede Blaabjerg

2024

Electric vehicle battery charging strategy

Kailong Liu

Yusheng Zheng

Remus Teodorescu

Qiao Peng

2024/1/1

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

Yusheng Zheng

Yunhong Che

Xiaosong Hu

Xin Sui

Daniel-Ioan Stroe

...

2024/1/1

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

Reliability Engineering & System Safety

Yunhong Che

Yusheng Zheng

Florent Evariste Forest

Xin Sui

Xiaosong Hu

...

2023/8/29

Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review

Masoud Alilou

Hatef Azami

Arman Oshnoei

Behnam Mohammadi-Ivatloo

Remus Teodorescu

2023/5/9

Battery states monitoring for electric vehicles based on transferred multi-task learning

IEEE Transactions on Vehicular Technology

Yunhong Che

Yusheng Zheng

Yue Wu

Xianke Lin

Jiacheng Li

...

2023/3/22

Battery aging behavior evaluation under variable and constant temperatures with real loading profiles

Yunhong Che

Daniel-Ioan Stroe

Xin Sui

Sϕren Byg Vilsen

Xiaosong Hu

...

2023/3/19

Small Signal Model of Modular Multilevel Converter with Power Synchronization Control

Wentao Liu

Rui Wang

Tamas Kerekes

Tomislav Dragicevic

Remus Teodorescu

2023/3/19

Hyperparameter optimization in bagging-based ELM algorithm for lithium-ion battery state of health estimation

Xin Sui

Shan He

SØren Byg Vilsen

Remus Teodorescu

Daniel-Ioan Stroe

2023/3/19

Lithium-ion battery lifetime extension with positive pulsed current charging

Ieee Transactions on Industrial Electronics

Xinrong Huang

Jinhao Meng

Wenjie Liu

Feng Ru

Chendong Duan

...

2023/3/6

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

Energy Conversion and Management

Yue Wu

Zhiwu Huang

Yusheng Zheng

Yongjie Liu

Heng Li

...

2023/2/1

Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects

Kailong Liu

Qiao Peng

Yunhong Che

Yusheng Zheng

Kang Li

...

2023/2/1

Review of grid stability assessment based on AI and a new concept of converter-dominated power system state of stability assessment

Wentao Liu

Tamas Kerekes

Tomislav Dragicevic

Remus Teodorescu

2023/1/13

See List of Professors in Remus Teodorescu University(Aalborg Universitet)

Remus Teodorescu FAQs

What is Remus Teodorescu's h-index at Aalborg Universitet?

The h-index of Remus Teodorescu has been 72 since 2020 and 104 in total.

What are Remus Teodorescu's top articles?

The articles with the titles of

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

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

Artificial Intelligence-Based State-of-Health Estimation of Lithium-Ion Batteries

Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement

A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks

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

Intelligent Cell Balancing Control for Lithium-Ion Battery Packs

Grid Impedance Shaping for Grid-Forming Inverters: A Soft Actor-Critic Deep Reinforcement Learning Algorithm

...

are the top articles of Remus Teodorescu at Aalborg Universitet.

What are Remus Teodorescu's research interests?

The research interests of Remus Teodorescu are: Power Electronics, Smart Batteries, AI

What is Remus Teodorescu's total number of citations?

Remus Teodorescu has 65,835 citations in total.