D
Daniel-Ioan Stroe
Researcher at Aalborg University
Publications - 191
Citations - 5592
Daniel-Ioan Stroe is an academic researcher from Aalborg University. The author has contributed to research in topics: Battery (electricity) & State of charge. The author has an hindex of 31, co-authored 141 publications receiving 2990 citations.
Papers
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Journal ArticleDOI
Sizing of an Energy Storage System for Grid Inertial Response and Primary Frequency Reserve
Vaclav Knap,Sanjay K. Chaudhary,Daniel-Ioan Stroe,Maciej Swierczynski,Bogdan-Ionut Craciun,Remus Teodorescu +5 more
TL;DR: In this paper, an energy storage system (ESS) might be a viable solution for providing inertial response and primary frequency regulation in the power system with a high penetration of wind power.
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Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective
TL;DR: In this paper, the effect on the lifetime of the battery energy storage system of various strategies for reestablishing the batteries' state of charge after the primary frequency regulation is successfully delivered.
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An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
Jinhao Meng,Mattia Ricco,Guangzhao Luo,Maciej Swierczynski,Daniel-Ioan Stroe,Ana-Irina Stroe,Remus Teodorescu +6 more
TL;DR: This paper classifies the recently proposed online SOC estimation methods into five categories, and seven nonlinear filters existing in literature are compared in terms of their accuracy, robustness, and execution time as a reference for online implementation.
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Battery second life: Hype, hope or reality? A critical review of the state of the art
Egoitz Martinez-Laserna,I. Gandiaga,Elixabet Sarasketa-Zabala,Julia Badeda,Daniel-Ioan Stroe,Maciej Swierczynski,Ander Goikoetxea +6 more
TL;DR: The present paper reviews the most relevant publications in the field of Lithium-ion battery second life, from economic, technical and environmental perspectives, and concludes that second life use of electric vehicle batteries is one of the solutions explored by the academia and industry to reduce electric vehicle upfront costs.
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Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems
TL;DR: In this article, the performance comparison between different smoothing methods has been presented, especially from a battery status perspective, and an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.