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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: 30 June 2025 | Viewed by 3655

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
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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

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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)

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Published Papers (4 papers)

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Research

32 pages, 16650 KiB  
Article
Hierarchical Structure-Based Wireless Active Balancing System for Power Batteries
by Jia Xie, Huipin Lin, Jifeng Qu, Luhong Shi, Zuhong Chen, Sheng Chen and Yong Zheng
Energies 2024, 17(18), 4602; https://doi.org/10.3390/en17184602 - 13 Sep 2024
Viewed by 308
Abstract
This paper conducts an in-depth study of a wireless, hierarchical structure-based active balancing system for power batteries, aimed at addressing the rapid advancements in battery technology within the electric vehicle industry. The system is designed to enhance energy density and the reliability of [...] Read more.
This paper conducts an in-depth study of a wireless, hierarchical structure-based active balancing system for power batteries, aimed at addressing the rapid advancements in battery technology within the electric vehicle industry. The system is designed to enhance energy density and the reliability of the battery system, developing a balancing system capable of managing cells with significant disparities in characteristics, which is crucial for extending the lifespan of lithium-ion battery packs. The proposed system integrates wireless self-networking technology into the battery management system and adopts a more efficient active balancing approach, replacing traditional passive energy-consuming methods. In its design, inter-group balancing at the upper layer is achieved through a soft-switching LLC resonant converter, while intra-group balancing among individual cells at the lower layer is managed by an active balancing control IC and a bidirectional buck–boost converter. This configuration not only ensures precise control but also significantly enhances the speed and efficiency of balancing, effectively addressing the heat issues caused by energy dissipation. Key technologies involved include lithium-ion batteries, battery management systems, battery balancing systems, LLC resonant converters, and wireless self-networking technology. Tests have shown that this system not only reduces energy consumption but also significantly improves energy transfer efficiency and the overall balance of the battery pack, thereby extending battery life and optimizing vehicle performance, ensuring a safer and more reliable operation of electric vehicle battery systems. Full article
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13 pages, 1599 KiB  
Article
State-of-Charge Estimation for Lithium-Ion Battery Base on Adaptive Extended Sliding Innovation Filter
by Zhuo Wang, Jinrong Shen and Yang Xu
Energies 2024, 17(14), 3495; https://doi.org/10.3390/en17143495 - 16 Jul 2024
Viewed by 510
Abstract
Accurate State of Charge (SoC) estimation is pivotal in advancing battery technology. In order to enhance the precision of SoC estimation, this study introduces the 2RC equivalent circuit model for lithium batteries. The Adaptive Extended Sliding Innovation Filter (AESIF) algorithm merges the model’s [...] Read more.
Accurate State of Charge (SoC) estimation is pivotal in advancing battery technology. In order to enhance the precision of SoC estimation, this study introduces the 2RC equivalent circuit model for lithium batteries. The Adaptive Extended Sliding Innovation Filter (AESIF) algorithm merges the model’s predictive outcomes with observation results. However, further improvements are required for this algorithm to perform optimally in strong noise environments. By adapting to observation noise and utilizing PID control to adjust the sliding boundary layer, the algorithm can accommodate varying noise levels and control interference fluctuations within specific limits. This study enhances the AESIF algorithm in these areas, proposing an improved version (IAESIF) to elevate performance in strong noise environments and improve overall estimation accuracy. Comprehensive tests were conducted under diverse operational conditions and temperatures, with results indicating that, compared to the EKF and the AESIF algorithm in strong noise environments, the IAESIF algorithm demonstrates improved noise adaptation and overall estimation accuracy. Full article
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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
Cited by 1 | Viewed by 953
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
Cited by 1 | Viewed by 1424
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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