Advances in Battery Systems and Applications

A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".

Deadline for manuscript submissions: closed (28 October 2022) | Viewed by 6998

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, University of Oviedo, 33204 Gijón, Spain
Interests: battery modeling; electronic instrumentation systems; Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Oviedo, 33204 Gijón, Spain
Interests: lithium-ion battery testing and characterization; lithium-ion battery degradation mechanisms via non-invasive methods; incremental capacity and peak area analyses; mechanistic battery modeling; battery lithium plating; battery fast charging; battery diagnosis and prognosis; battery state of charge and state of health determination methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advanced rechargeable batteries are crucial for an industrial and social evolution toward a sustainable society. Among battery technologies, lithium-based batteries have seen tremendous growth in recent years, but further technological advancements are expected for emerging battery applications such as the Internet of Things, electric mobility, and stationary energy storage. This Special Issue invites articles on innovative developments for “Battery Systems and Applications” with a special emphasis on emerging battery systems and applications that improve performance, safety, and environmental sustainability.

Potential topics include but are not limited to the following:

  • Integration of battery cells into a battery system, including mechanical, electrical, and thermal aspects;
  • Adaptation of battery system design to novel cell chemistries (advanced lithium-ion, solid-state cells);
  • Applications for lithium batteries, including portable applications, e-mobility (EV), stationary (energy storage technology), satellites/aerospace applications;
  • Battery applications in the field of Internet of Things (IoT): wearable battery solutions, medical, industrial, smart home, energy storage, etc.;
  • Design, control, and optimization of battery management systems (BMS);
  • Cell, module, and system-level performance monitoring;
  • Innovative charge/discharge management systems.

Prof. Dr. Juan Carlos Álvarez Antón
Dr. David Anseán
Guest Editors

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. Batteries is an international peer-reviewed open access monthly 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 2700 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

  • Li-ion batteries
  • emerging battery applications
  • Internet of Things
  • battery management system (BMS)
  • integration of battery systems

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Published Papers (2 papers)

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Research

10 pages, 2825 KiB  
Article
An Experimental Study on the Cell Balancing Parameters for Faulty Cell Detection in a Battery Module
by Woongchul Choi and Sungsoo Hong
Batteries 2022, 8(11), 218; https://doi.org/10.3390/batteries8110218 - 5 Nov 2022
Cited by 3 | Viewed by 2763
Abstract
Along with global efforts to reduce the carbon footprint, electrification of powertrains is occurring in various applications, certainly including transportation systems. One of the most important components is an electric energy storage system, i.e., a battery pack. Regardless of battery form factors, such [...] Read more.
Along with global efforts to reduce the carbon footprint, electrification of powertrains is occurring in various applications, certainly including transportation systems. One of the most important components is an electric energy storage system, i.e., a battery pack. Regardless of battery form factors, such as cylindrical, pouch and prismatic type, it is critical to maintain the safety of the battery module/pack by monitoring the conditions of each and every battery cell of the battery pack. It becomes even more critical as the battery cells are used over many charging and discharging cycles. Thermal runaways of the battery packs can even be triggered by a single faulty battery cell which degrades in an unexpected manner and speed compared to the neighboring battery cells, resulting in extreme fire hazards. Typically, this faulty cell with an abnormally increased internal resistance can be detected using a voltage sensor or a temperature sensor. However, in this study, instead of depending on those sensors, activities of cell balancing switching devices are used to identify a degraded cell compared to other cells in a relative manner. A currently proposed faulty cell detection algorithm was developed through multiple simulations with Matlab Simulink®, then, a simple BMS prototype was built and tested as a proof of concept. Full article
(This article belongs to the Special Issue Advances in Battery Systems and Applications)
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20 pages, 7068 KiB  
Article
DC Bus Voltage Stabilization and SOC Management Using Optimal Tuning of Controllers for Supercapacitor Based PV Hybrid Energy Storage System
by Saswati Pattnaik, Mano Ranjan Kumar, Sunil Kumar Mishra, Shivam Prakash Gautam, Bhargav Appasani and Taha Selim Ustun
Batteries 2022, 8(10), 186; https://doi.org/10.3390/batteries8100186 - 15 Oct 2022
Cited by 12 | Viewed by 3391
Abstract
The global initiative of decarbonization has led to the popularity of renewable energy sources, especially solar photovoltaic (PV) cells and energy storage systems. However, standalone battery-based energy storage systems are inefficient in terms of the shelf and cycle life, reliability, and overall performance, [...] Read more.
The global initiative of decarbonization has led to the popularity of renewable energy sources, especially solar photovoltaic (PV) cells and energy storage systems. However, standalone battery-based energy storage systems are inefficient in terms of the shelf and cycle life, reliability, and overall performance, especially in instantaneous variations in solar irradiance and load. In order to overcome this, a combination of a supercapacitor and battery-based hybrid energy storage system (HESS) is considered as an emerging and viable solution. The present work proposes an optimally tuned tilt-integral (TI) controller to develop an efficient power management strategy (PMS) to enhance the overall system performance. The controller parameters are tuned by optimization of the time-domain design specifications using a gradient-free simplex search technique. The robustness of the proposed TI controller is demonstrated in comparison to PI and fractional-order PI (FOPI) controllers. Furthermore, extensive experimentation was carried out to analyze the effectiveness of the proposed approach for DC bus voltage stabilization and state-of-charge (SOC) management under varying operating conditions such as solar irradiance, load, temperature, and SOC consumption by battery. Full article
(This article belongs to the Special Issue Advances in Battery Systems and Applications)
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