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ISSN (online): 1996-1073
Journal Sheet: Energies

Call of the Journal:


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- 5G Wireless Systems for Industry 4.0

- A Holistic Overview of the Energy Sector | From Engineering Approaches to Innovative ML Solutions

- Active Power Filters and Power Quality

- Advanced Electric Vehicle Techniques

- Advanced Environmental Controls for High-Performance Buildings and Sustainability

- Advanced Solutions to Increase Resilience of Medium Voltage Distribution Networks

- Advanced Techniques to Increase Energy Efficiency by Optimization and Improving Power Quality

- Advances in Catalytic Technologies for Biodiesel Fuel Synthesis

- Advances in Fluid Power Systems

- Advances in Materials, Technologies and Controls for Sustainable Buildings

- Advances in Modelling for Nuclear Science and Engineering

- Big Data on Energy, Climate Change and Sustainability

- Building Sustainable Cities of the Future

- Community Microgrids

- Computational Modelling of Wave Energy Converters

- Condensation Heat Transfer

- Control of Wind Turbines

- COVID-19 Pandemics | Energy, Economic, Environmental, Social, Policy and Health Impacts

- Decarbonising Heating and Cooling

- Design and Application of Electrical Machines

- Design and Application of Innovation Catalysts for Hydrogenation

- Drilling Technologies for the Next Generations

- Dynamic Modelling and Control in Multilevel Converters

- Economic and Policy Challenges of the Energy Transition in CEE Countries

- Economic Growth and Environmental Degradation in the Paradigm of Energy Transition

- Electric Power Transmission | Active Subtransmission Networks

- Electric Vehicle Charging Networks

- Electrified Powertrains for a Sustainable Mobility | Topologies, Design and Integrated Energy Management Strategies

- Electrothermal Modeling of Solar Cells and Modules

- Embedded Discrete Fracture Model (EDFM) for Advanced Naturally and Hydraulically Fractured Reservoir Simulation

- Emerging Materials and Fabrication Methods for Solid Oxide Fuel Cells (SOFCs)

- Emerging Technologies for the Efficient Utilization of Coal and Biomass

- Energy and Environmental Sustainability 2020

- Energy Conversion and Operation Technologies for Smart Grid

- Energy Data Visualization

- Energy Flows and Synergies between Energy Networks

- Energy Management in the Multi-Source Systems

- Energy Transition and Social Innovation

- Environmental and Sustainable Built Environments

- Estimation of the State-of-Charge and State-of-Health of Lithium-Ion Batteries

- European Energy Policy at a Crossroads

- Future Electrical Machines

- Governance Strategies and Insights to Accelerate the Production and Diffusion of Hydrogen and Fuel-Cell Technologies

- Green Building Technologies 2020

- Heat and Mass Transfer in Multi-Phase Flows

- Heating, Cooling, and Ventilation Systems | Applications and Performance

- Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization

- Integration of Electrical Vehicles and Renewable Energy Resources into Power Distribution Networks

- Interactive Integration of Electric Vehicles and Power Networks | Emerging Issues and Solutions

- Life Cycle Assessment of Environmental System

- Lifetime Extension of Wind Turbines and Wind Farms

- Machine-Learning Methods for Complex Flows

- Mechanical Industrial Plants for Solid Waste Treatment

- Modeling and Control of Hybrid Electric Vehicles

- Modelling of Multiphase Flows for Renewable Energy

- Multilevel Power Converters Control and Modulation Techniques

- Nanotechnology for Solar Energy Conversion

- Next Generation of Dye-Sensitized Solar Cells

- Novel Developments in Energy Resources Management, Distribution Systems, Microgrids and Energy Communities

- Numerical Simulation of Wind Turbine

- Optimal Design of Power Converters

- Optimization of Propulsion in Transport Means

- Organic Photovoltaics and Organic Transistors

- Performance and Reliability of Wide Bandgap Semiconductor and Nano Device-Based Circuits for Energy Systems

- Perovskite Solar Cells

- Photovoltaic Devices

- Protection and Communication Techniques in Modern Power Systems

- Protection of Future Multi-Terminal HVDC Grids

- Proton-Exchange Membrane Fuel Cells

- Real-Time Monitoring and Control for Wind Turbine Systems

- Recent Progress in Metal-Organic Frameworks for Energy-Related Applications

- Recent Studies in District Heating and Cooling Systems

- Research on Wireless Power Transfer System

- Sector Coupling for Sustainable Urban and Regional Energy Systems

- Selected Papers from the “20th CIRIAF National Congress | Sustainable Development and Preservation of Environment and Human Health”

- Smart Built Environment for Health and Comfort with Energy Efficiency

- Smart Technologies, Management and Control for Energy Systems and Networks

- Smart Thermostats for Energy Saving in Buildings

- Storages and Power Plant Flexibility for Improving Renewable Energy Penetration

- Systemic Issues to Wind and Solar Energy Deployment

- Technologies Conducive to Low Green House Gas Emission

- Thermal Management and Experimental Techniques for a Sustainable Mobility

- Thermal Storage Technologies

- Waste-to-Energy Technology Integrated with Carbon Capture

Year of the Pubblication: 2021
29
Jan
2021
Paper Submission Deadline

Add to Calendar 01/29/2021 08:00 Europe/Rome Estimation of the State-of-Charge and State-of-Health of Lithium-Ion Batteries

Lithium-ion batteries are unanimously considered to be the standard electric power source for many applications, including electrified vehicles, such as plug-in hybrid electric vehicles (PHEV), electric vehicles (EV), and hybrid electric vehicles (HEV). Accordingly, optimal battery management is a relevant issue in automatic control practice. The Battery Management System (BMS) has to: (1) ensure that the battery is appropriately used when meeting the demand for electrical power; and (2) guarantee feasible and safe operation. A battery’s energy and power strongly depend on the battery’s state. In particular, the residual energy is related to the cell’s State-of-Charge (SoC) as well as to the battery’s age, and is the reason why the performance of lithium-ion batteries degrades with time and use. As the direct measurement of SoC and State-of-Health (SoH) is unavailable in real-time applications, a key task for the BMS is to provide an accurate estimation of the battery’s state. This is required in order to achieve high battery efficiency, avoid damage, predict the Remaining Useful Life (RUL), and potentially slow the rate of deterioration. This Special Issue will focus on the analysis, design, implementation, and validation of strategies for the estimation of the state of lithium-ion cells and, more generally, algorithms for the management of lithium-ion batteries. Studies that employ recently developed data-driven approaches will also be welcome.
Keywords: battery management system; lithium-ion batteries; state estimation; battery aging; state-of-charge estimation; state-of-health estimation; remaining useful life prediction; data-driven estimation.

Switzerland
CALL FOR PAPERS
Code: CFP-E107-SI14_2021
Posting date: 07/11/2020

Estimation of the State-of-Charge and State-of-Health of Lithium-Ion Batteries


Aims and Scope

Lithium-ion batteries are unanimously considered to be the standard electric power source for many applications, including electrified vehicles, such as plug-in hybrid electric vehicles (PHEV), electric vehicles (EV), and hybrid electric vehicles (HEV). Accordingly, optimal battery management is a relevant issue in automatic control practice. The Battery Management System (BMS) has to: (1) ensure that the battery is appropriately used when meeting the demand for electrical power; and (2) guarantee feasible and safe operation. A battery’s energy and power strongly depend on the battery’s state. In particular, the residual energy is related to the cell’s State-of-Charge (SoC) as well as to the battery’s age, and is the reason why the performance of lithium-ion batteries degrades with time and use. As the direct measurement of SoC and State-of-Health (SoH) is unavailable in real-time applications, a key task for the BMS is to provide an accurate estimation of the battery’s state. This is required in order to achieve high battery efficiency, avoid damage, predict the Remaining Useful Life (RUL), and potentially slow the rate of deterioration. This Special Issue will focus on the analysis, design, implementation, and validation of strategies for the estimation of the state of lithium-ion cells and, more generally, algorithms for the management of lithium-ion batteries. Studies that employ recently developed data-driven approaches will also be welcome.
Keywords: battery management system; lithium-ion batteries; state estimation; battery aging; state-of-charge estimation; state-of-health estimation; remaining useful life prediction; data-driven estimation.

Languages
English
Country
Switzerland
Topics
Chemical & Material Sciences, Data Sensing and Analysis, Energy Efficiency, Energy Storage, Industrial Engineering, Industry 4.0, Life Cycle Assessment (LCA), Methodology, Modeling, Monitoring, Performance Evaluation, Performance-based Design, Process Modeling and Simulation
Review process
The Journal adopts double-blind peer review process
Indexed By

AGORA (FAO), AGRIS (FAO), CAB Abstracts (CABI), Chemical Abstracts (ACS), Current Contents – Engineering, Computing & Technology (Clarivate Analytics), DOAJ, EconPapers (RePEc), Ei Compendex / Engineering Village (Elsevier), ETDE (IEA), Genamics JournalSeek, HINARI (WHO), IDEAS (RePEc), Inspec (IET), Journal Citation Reports / Science Edition (Clarivate Analytics), Julkaisufoorumi Publication Forum (Federation of Finnish Learned Societies), LAPSE, Norwegian Register for Scientific Journals, Series and Publishers (NSD), RePEc, Science Citation Index Expanded – Web of Science (Clarivate Analytics), Scopus (Elsevier), Web of Science (Clarivate Analytics), CLOCKSS (Digital Archive), e-Helvetica (Swiss National Library Digital Archive), Academic OneFile (Gale/Cengage Learning), EBSCOhost (EBSCO Publishing), Energy & Power Source (EBSCO), Engineering Source (EBSCO), Google Scholar, J-Gate (Informatics India), Materials Science & Engineering (ProQuest), ProQuest Central (ProQuest), Science In Context (Gale/Cengage Learning), WorldCat (OCLC).

APC

Info at: www.mdpi.com/journal/energies/apc

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Additional Notice from the Editor

Guest Editor
Dr. Domenico Di Domenico