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Daniel-Ioan Stroe

Daniel-Ioan Stroe

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
13539
World Ranking
1787
National Ranking
23

Overview

Daniel-Ioan Stroe is affiliated with Aalborg University in Denmark and has contributed extensively to the field of engineering, with a particular focus on electrical and electronic engineering as well as automotive engineering. Their research spans several subfields including control and systems engineering, safety, risk, reliability and quality, and mechanical engineering.

The scientist's work centers around advanced battery technologies and materials, electric vehicles and infrastructure, fault detection and control systems, and reliability and maintenance optimization. The research topics they frequently address include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Reliability and Maintenance Optimization
  • Electric and Hybrid Vehicle Technologies

Several recent papers authored or co-authored by Daniel-Ioan Stroe include:

  • "A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery," 2021, Applied Energy
  • "An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation," 2022, Energy
  • "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations," 2023, Energy
  • "An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation," 2021, IEEE Transactions on Industrial Electronics
  • "Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities," 2023, Progress in Energy and Combustion Science

Frequent co-authors collaborating with Daniel-Ioan Stroe include:

  • Shunli Wang
  • Carlos Fernández
  • Remus Teodorescu
  • Jinhao Meng
  • Søren Byg Vilsen

The scientist frequently publishes in academic venues such as:

  • Energies
  • Journal of Energy Storage
  • Batteries
  • Journal of Energy Chemistry
  • ECS Meeting Abstracts

Daniel-Ioan Stroe has also authored books published by notable publishers. These include:

  • Battery System Modeling, Elsevier BV, 2021
  • State Estimation Strategies in Lithium-ion Battery Management Systems, Elsevier BV, 2023
  • AI for Status Monitoring of Utility Scale Batteries, Institution of Engineering and Technology, 2022

Best Publications

  • An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation

    Unknown

  • Sizing of an Energy Storage System for Grid Inertial Response and Primary Frequency Reserve

    Vaclav Knap;Sanjay K. Chaudhary;Daniel-Ioan Stroe;Maciej Swierczynski

  • Battery second life: Hype, hope or reality? A critical review of the state of the art

    Egoitz Martinez-Laserna;Inigo Gandiaga;Elixabet Sarasketa-Zabala;Julia Badeda

  • Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective

    Daniel-Ioan Stroe;Vaclav Knap;Maciej Swierczynski;Ana-Irina Stroe

  • An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery

    Jinhao Meng;Mattia Ricco;Guangzhao Luo;Maciej Swierczynski

  • Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles

    Jinhao Meng;Guangzhao Luo;Mattia Ricco;Maciej Swierczynski

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

    Xin Sui;Shan He;Søren Byg Vilsen;Jinhao Meng

  • An interdisciplinary review of energy storage for communities: Challenges and perspectives

    David Parra;Maciej Swierczynski;Daniel I. Stroe;Stuart A. Norman

  • Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations

    Unknown

  • Technical Viability of Battery Second Life: A Study From the Ageing Perspective

    Egoitz Martinez-Laserna;Elixabet Sarasketa-Zabala;Igor Villarreal Sarria;Daniel-Ioan Stroe

  • An Enhanced Equivalent Circuit Model with Real-Time Parameter Identification for Battery State-of-Charge Estimation

    Farshid Naseri;Erik Schaltz;Daniel-Ioan Stroe;Alejandro Gismero

  • Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

    João Pedro Rodrigues Martins;Sergiu Viorel Spataru;Dezso Séra;Daniel-Ioan Stroe

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

    Unknown

  • Lithium ion battery chemistries from renewable energy storage to automotive and back-up power applications — An overview

    Ana-Irina Stan;Maciej Jozef Swierczynski;Daniel Ioan Stroe;Remus Teodorescu

  • A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

    Jinhao Meng;Daniel-Ioan Stroe;Mattia Ricco;Guangzhao Luo

  • Understanding the mechanism of capacity increase during early cycling of commercial NMC/graphite lithium-ion batteries

    Unknown

  • Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants

    Daniel Ioan Stroe;Maciej Jozef Swierczynski;Ana-Irina Stan;Remus Teodorescu

  • A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm

    Shunli Wang;Shunli Wang;Carlos Fernandez;Chunmei Yu;Yongcun Fan

  • Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

    Daniel-Ioan Stroe;Erik Schaltz

  • Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature

    Lei Cai;Jinhao Meng;Daniel-Ioan Stroe;Jichang Peng

  • Selection and Performance-Degradation Modeling of LiMO $_{2}$ /Li $_{4}$ Ti $_{5}$ O $_{12}$ and LiFePO $_{4}$ /C Battery Cells as Suitable Energy Storage Systems for Grid Integration With Wind Power Plants: An Example for the Primary Frequency Regulation Service

    Maciej Swierczynski;Daniel Ioan Stroe;Ana-Irina Stan;Remus Teodorescu

  • Lifetime Estimation of the Nanophosphate $\hbox{LiFePO}_{4}\hbox{/C}$ Battery Chemistry Used in Fully Electric Vehicles

    Maciej Swierczynski;Daniel-Ioan Stroe;Ana-Irina Stan;Remus Teodorescu

  • Sizing Study of Second Life Li-ion Batteries for Enhancing Renewable Energy Grid Integration

    Andoni Saez-de-Ibarra;Egoitz Martinez-Laserna;Daniel-Ioan Stroe;Maciej Swierczynski

  • Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

    Jinhao Meng;Lei Cai;Guangzhao Luo;Daniel-Ioan Stroe

Frequent Co-Authors

Remus Teodorescu
Remus Teodorescu Aalborg University
Maciej Swierczynski
Maciej Swierczynski Aalborg University
Erik Schaltz
Erik Schaltz Aalborg University
Søren Knudsen Kær
Søren Knudsen Kær Aalborg University
Søren Juhl Andreasen
Søren Juhl Andreasen Aalborg University
Pedro Rodriguez
Pedro Rodriguez Luxembourg Institute of Science and Technology
Florin Iov
Florin Iov Aalborg University
Dezso Sera
Dezso Sera Queensland University of Technology
Noshin Omar
Noshin Omar Vrije Universiteit Brussel
Dirk Uwe Sauer
Dirk Uwe Sauer RWTH Aachen University

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