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Advances of Battery Technologies: Trends Forecasting, Measurements, Data Analysis, Diagnostics, Modelling and Control

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D2: Electrochem: Batteries, Fuel Cells, Capacitors".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 2083

Special Issue Editor


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Guest Editor
Institute of Vehicles and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84 Str., 02-524 Warsaw, Poland
Interests: alternative fuels infrastructure; energy storage; distributed generation; energy conversion from renewable energy sources; hydrogen conversion and storage; sustainable development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Currently, it is difficult to imagine achieving zero-emission economies by 2050 without battery energy storage. Their use is increasing, especially in the main application areas that include renewable energy conversion systems, electric airplanes, aerospace machinery, electric vehicles, heavy duty machinery, special and military vehicles, unmanned propulsion systems, electric scooters and bicycles, automation systems and robotics, as well as medical devices. The development of battery energy storage systems is related to the use of rare Earth materials. In this context, it is essential to assess the current and future methods of obtaining and extracting the main materials used for electrochemical cell components and increasing the recyclability of cells already on the market, taking into account economic, ecological and technological aspects.

The current progress of civilization has led to the search for new materials that will increase the efficiency of, e.g., lithium-ion cells, while ensuring operational safety.

There are visible trends towards the development of lithium-ion cells without liquid components, but rather  that are based on light lithium-ion conductors which act as a potential solid electrolyte in a lithium-ion cell, and which may translate into a reduction in the total weight and an increase in efficiency.

Electrochemical cells with a high efficiency are particularly required for ultra-fast charging processes. The complexity of the charging process requires the use of appropriate connectors, standards, transducers and algorithms.

The process of ultra-fast cell charging makes it necessary to look for solutions that enable efficient energy flow under specific temperature conditions. For this reason, especially in regard to electric drivetrains, it is necessary to both reheat cell packages in winter and cool them in summer. Therefore, hybrid energy storage facilities are also being developed.

Efficient ways and methods for the active, semi-active and passive management of energy conversion and thermal management in technical facilities and means of transport are currently being sought.

The progress in the field of batteries also includes design methodologies, technologies, and the automation of manufacturing processes and modelling methods. The growing use of batteries in various market segments accelerates research in the field of diagnostics, maintenance, reliability and monitoring, leading to the development of more reliable diagnostic techniques that allow for reducing the occurrence of thermal runaway.

This Special Issue aims to present and disseminate the most recent advances related to the trends of material forecasting, theory, design, modelling, application and control, as well as the condition monitoring of all types of battery energy storage.

Topics of interest for publication include, but are not limited to:

  • All aspects of battery energy storage, i.e., Li-ion batteries, redox flow batteries, VRLA batteries, hybrid energy storage based on batteries and a review of technical and economic issues regarding batteries;
  • Battery technologies for electric aircraft, electric vehicles, heavy duty machinery, photovoltaic and wind energy conversion systems, unmanned propulsion systems, electric scooters and bicycles, automation and robotics systems, and medicine;
  • Batteries for safety-critical applications and emergency power systems;
  • Novel materials and their applications in batteries;
  • Hybrid systems based on batteries;
  • Online and offline battery condition monitoring techniques and methods;
  • Methods of active, semi-active and passive energy and thermal management of energy conversion in technical facilities and transport means with batteries;
  • Optimal design methodologies of batteries;
  • Advanced modelling approaches of batteries;
  • Thermal and vibroacoustic analyses of batteries;
  • Projections and analysis of rare Earth materials used in battery components;
  • Battery life cycle analysis and recycling methods;
  • Battery applications in means of transport powered by alternative fuels and distribution generation devices;
  • Development of operating infrastructure and transport routes for electric vehicles with the support of battery technology.

Dr. Adrian Chmielewski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • batteries
  • new applications
  • modelling
  • energy and thermal management
  • control
  • battery fault diagnosis
  • state monitoring
  • material design
  • design
  • PCM materials
  • light lithium-ion conductors
  • solid electrolyte
  • heat generation
  • life cycle analysis (LCA)
  • recycling
  • levelized cost of storage (LCOS)
  • state of Charge (SoC)
  • state of Health (SoH)
  • state of Energy (SoE)
  • bidirectional converters
  • conventional methods
  • learning methods
  • adaptive methods
  • hybrid methods
  • machine learning
  • Trans-European Transport Network corridors (TEN-T)
  • electric vehicles
  • charging standards
  • distributed generation devices
  • smart charging (V1G)
  • vehicle to grid (V2G)
  • vehicle to home (V2H)
  • vehicle to load (V2L)
  • vehicle to building (V2B)
  • vehicle to everything (V2X)
  • Open Charge Point Protocol (OCCP)
  • smart meter (SM)
  • energy aggregator (EA)
  • demand-side response (DSR)
  • energy-flow management system (EMS)
  • microgrid (MG)
  • dynamic load management (DLM)

Published Papers (2 papers)

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Research

12 pages, 6889 KiB  
Article
Calibration of Crushable Foam Models for the Jellyroll of Cylindrical Lithium-Ion Batteries
by Young Ju Ahn
Energies 2024, 17(6), 1360; https://doi.org/10.3390/en17061360 - 13 Mar 2024
Viewed by 673
Abstract
Crushable foam plasticity models are employed to simulate material response under essentially monotonic loading. For the plastic part of the behavior, the default crushable foam model in Abaqus/Explicit is the volumetric hardening model, where the yield surface evolves by the volumetric compacting plastic [...] Read more.
Crushable foam plasticity models are employed to simulate material response under essentially monotonic loading. For the plastic part of the behavior, the default crushable foam model in Abaqus/Explicit is the volumetric hardening model, where the yield surface evolves by the volumetric compacting plastic strain, and the other available model is the isotropic hardening model, where the yield curve is centrally located at the origin in the pressure—the Mises stress plane. In this study, the characteristic of two models was examined by applying them to a simple 18650 lithium-ion cylindrical cell. The computation cell model consists of the shell casing and the homogenized jelly roll which represents the electrode assembly. Both crushable foam models were calibrated to represent the homogenized mechanical properties of the jellyroll, and the load–displacement relations were compared with the experimental results. Then, we examined the deformation characteristic of jellyroll for each crushable foam model. Full article
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21 pages, 4913 KiB  
Article
State-of-Charge Estimation of Nickel–Cadmium Batteries Based on Dynamic Modeling of Electrical Characteristics and Adaptive Untrace Kalman Filtering
by Meng Meng, Yiguo He, Yin Zhang, Haitao Liao and Chaohua Dai
Energies 2023, 16(21), 7291; https://doi.org/10.3390/en16217291 - 27 Oct 2023
Viewed by 1123
Abstract
With the increasing demand for intelligence and automation, and the continuous strengthening of safety and efficiency requirements, the disadvantages of traditional “blind use” of nickel–cadmium batteries have become increasingly prominent, and the lack of state-of-charge (SOC) estimation needs to be changed urgently. For [...] Read more.
With the increasing demand for intelligence and automation, and the continuous strengthening of safety and efficiency requirements, the disadvantages of traditional “blind use” of nickel–cadmium batteries have become increasingly prominent, and the lack of state-of-charge (SOC) estimation needs to be changed urgently. For this purpose, a dynamic model of nickel–cadmium battery is established, and an SOC estimation method of nickel–cadmium battery based on adaptive untraced Kalman filter is proposed. Firstly, the experimental platform was built, and the open-circuit voltage and polarization characteristics of nickel–cadmium batteries were analyzed. On this basis, an equivalent circuit model is constructed to reflect the characteristics of nickel–cadmium batteries, and the model parameters were identified by the hybrid pulse power characteristic test; Then, based on the dynamic model, the SOC of the nickel–cadmium battery was estimated by combining with the Sage–Husa adaptive untrace Kalman filtering algorithm. Finally, the SOC estimation effect was verified under two operating conditions: Hybrid pulse power characteristic (HPPC) and constant cyclic charging and discharging power. The experimental results show that the proposed estimation method is insensitive to the initial value of SOC, and can still converge to the real value even if there is 30% error in the initial value. The mean absolute error and root mean square deviation of the final SOC estimation results are both less than 1%. The dynamic model and the proposed SOC estimation method provide valuable reference for the operation control, maintenance, and replacement of nickel–cadmium batteries in the use process. Full article
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