Daniel‐Ioan Stroe

ORCID: 0000-0002-2938-8921
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Microgrid Control and Optimization
  • Advanced battery technologies research
  • Reliability and Maintenance Optimization
  • Electric and Hybrid Vehicle Technologies
  • Hybrid Renewable Energy Systems
  • Advanced DC-DC Converters
  • Supercapacitor Materials and Fabrication
  • Wireless Power Transfer Systems
  • Smart Grid Energy Management
  • Recycling and Waste Management Techniques
  • Control Systems and Identification
  • IoT-based Smart Home Systems
  • Wind Turbine Control Systems
  • Extraction and Separation Processes
  • Spacecraft Design and Technology
  • Fuel Cells and Related Materials
  • Real-Time Systems Scheduling
  • Frequency Control in Power Systems
  • Power Systems and Renewable Energy
  • Embedded Systems and FPGA Design

Aalborg University
2016-2025

University of Shanghai for Science and Technology
2023

Southwest University of Science and Technology
2023

Tampere University
2020

Institute for Energy Technology
2017

Large-scale integration of renewable energy sources in power system leads to the replacement conventional plants (CPPs) and consequently challenges reliability security are introduced. This study is focused on improving grid frequency response after a contingency event with high penetration wind power. An storage (ESS) might be viable solution for providing inertial primary regulation. A methodology has been presented here sizing ESS terms required energy. It describes contribution grid,...

10.1109/tpwrs.2015.2503565 article EN IEEE Transactions on Power Systems 2015-12-17

With the popularity of electrical vehicles, lithium-ion battery industry is developing rapidly. To ensure safe usage and to reduce its average lifecycle cost, accurate state charge (SOC) tracking algorithms for real-time implementation are required different applications. Many SOC estimation methods have been proposed in literature. However, only a few them consider applicability. This paper classifies recently online into five categories. Their principal features illustrated, main pros cons...

10.1109/tia.2017.2775179 article EN IEEE Transactions on Industry Applications 2017-11-17

Because of their characteristics, which have been continuously improved during the last years, Lithium-ion batteries proposed as an alternative viable solution to present fast-reacting conventional generating units deliver primary frequency regulation service. However, even though there are worldwide demonstration projects, where energy storage systems based on evaluated for such applications, field experience is still very limited. In consequence, at present, no clear requirements how...

10.1109/tia.2016.2616319 article EN IEEE Transactions on Industry Applications 2016-10-11

As a critical indictor in the Battery Management System (BMS), State of Charge (SOC) is closely related to reliable and safe operation lithium-ion (Li-ion) batteries. Model-based methods are an effective solution for accurate robust SOC estimation, performance which heavily relies on battery model. This paper mainly focuses modeling methods, have potential be used model-based estimation structure. classified into four categories basis their theoretical foundations, expressions features...

10.3390/app8050659 article EN cc-by Applied Sciences 2018-04-25

The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, codes have incorporated ramp-rate limitations for injected PV power. Energy Storage Systems (ESS) coordinated (RR) control algorithms are often applied mitigating these to grid. These generate a reference ESS that opposes fluctuations, reducing them an acceptable value. Despite their common use, few...

10.3390/en12071342 article EN cc-by Energies 2019-04-08

Reusing electric vehicle batteries once retired from the automotive application is stated as one of possible solutions to reduce costs. Many publications in literature have analyzed economic viability such a solution, and some car manufacturers recently started running several projects demonstrate technical so-called battery second life. Nevertheless, degradation behavior life remains unknown represents biggest gaps literature. This paper aims at evaluating effects lithium-ion nickel...

10.1109/tia.2018.2801262 article EN IEEE Transactions on Industry Applications 2018-02-02

The performance of model-based state-of-charge (SOC) estimation method relies on an accurate battery model. Nonlinear models are thus proposed to accurately describe the external characteristics lithium-ion battery. nonlinear algorithms and online parameter identification methods needed guarantee accuracy SOC with models. A new approach forming a dynamic linear model is in this paper, which enables application Kalman filter for also avoids usage methods. With moving window technology,...

10.1109/tie.2018.2880668 article EN IEEE Transactions on Industrial Electronics 2018-11-15

This article introduces an efficient modeling approach based on the Wiener structure to reinforce capacity of classical equivalent circuit models (ECMs) in capturing nonlinearities lithium-ion (Li-ion) batteries. The proposed block-oriented architecture is composed a simple linear ECM followed by static output nonlinearity block, which helps achieving superior nonlinear mapping property while maintaining real-time efficiency. observability established battery model analytically proven. also...

10.1109/tie.2021.3071679 article EN IEEE Transactions on Industrial Electronics 2021-04-13

The implementation of an accurate and low computational demanding state-of-health (SOH) estimation algorithm represents a key challenge for the battery management systems in electric vehicle (EV) applications. In this article, we investigate suitability incremental capacity analysis (ICA) technique estimating fade subsequently SOH LMO/NMC-based EV lithium-ion batteries. Based on calendar aging results collected during 11 months testing, were able to relate studied batteries evolution four...

10.1109/tia.2019.2955396 article EN IEEE Transactions on Industry Applications 2019-11-26

As a favorable energy storage component, lithium-ion (Li-ion) battery has been widely used in the systems (BESS) and electric vehicles (EV). Data driven methods estimate state-of-health (SOH) with features extracted from measurement. However, excessive may reduce estimation accuracy also increases human labor lab. By proposing an optimization process nondominated sorting genetic algorithm II (NSGA-II), this article is able to establish more efficient SOH estimator support vector regression...

10.1109/tpel.2020.2987383 article EN IEEE Transactions on Power Electronics 2020-04-16

A capacity increase is often observed in the early stage of Li-ion battery cycling. This study explores phenomena involved from full cell, electrodes, and materials perspective through a combination non-destructive diagnostic methods cell post-mortem analysis coin cell. The results show an 1% initial for aged at 100% depth discharge (DOD) 45 °C. Furthermore, large DODs or high temperatures accelerate increase. From incremental differential voltage (IC-DV) analysis, we concluded that...

10.1016/j.jechem.2022.07.005 article EN cc-by Journal of Energy Chemistry 2022-07-12

Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being most predominant storage devices, directly affect safety, comfort, driving range, reliability of many electric mobilities. Nevertheless, thermal-related issues batteries such as potential thermal runaway, performance degradation at low temperatures, accelerated aging still hinder wider adoption To ensure safe, efficient, reliable...

10.1016/j.pecs.2023.101120 article EN cc-by Progress in Energy and Combustion Science 2023-09-22

Lithium-ion batteries are a popular choice for wide range of energy storage system applications. The current motivation to improve the robustness lithium-ion battery applications has stimulated need in-depth research into aging effects and establishment lifetime prediction models. This paper reviews different combination approaches physics-based models data-driven three basic introduced, requirements features compared from an application perspective. Then, state-of-the-art integrating...

10.1016/j.est.2022.105992 article EN cc-by Journal of Energy Storage 2022-11-01

Abstract Tracking the battery discharge capacity is significant, yet challenging due to complicated degradation patterns as well varying or even random usage scenarios. This work proposes a physics‐constrained domain adaptation framework predict capacities during with non‐destructive mechanism diagnosis using early discharging information. By imposing impedance physical constraints in adaptative layer, interpretability and generalization of model can be improved layer provides insights into...

10.1002/aenm.202405506 article EN cc-by Advanced Energy Materials 2025-01-28

Lithium ion (Li-ion) batteries have been extensively used in consumer electronics because of their characteristics, such as high efficiency, long life, and gravimetric volumetric energy. In addition, Li-ion are becoming the most attractive candidate electrochemical storage systems for stationary applications, well power source sustainable automotive back-up supply applications. This paper gives an overview battery chemistries that available at present market, describes three out four main...

10.1109/optim.2014.6850936 article EN 2014-05-01
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