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Advanced Energy Storage Technologies and Applications (AESAs)
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Advanced Energy Storage Technologies and Applications (AESAs)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: 10 July 2024 | Viewed by 4181

Special Issue Editors

Dr. Quanqing Yu

E-Mail Website
Guest Editor
School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, China
Interests: battery reliability analysis; battery health management; battery state estimation
Special Issues, Collections and Topics in MDPI journals
Dr. Chun Wang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Sichuan University of Science & Engineering, Zigong 643000, China
Interests: multi-power integrated management and optimal control of new energy vehicles; artificial intelligence management and control of advanced energy storage systems; optimized control of intelligent connected vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Aihua Tang

E-Mail Website
Guest Editor
School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, China
Interests: battery system modeling; state estimation and life prediction; battery system fault diagnosis and health status estimation under big data
Special Issues, Collections and Topics in MDPI journals
Dr. Jinpeng Tian

E-Mail Website
Guest Editor
National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Interests: battery system modeling; state estimation and life prediction

Special Issue Information

Dear Colleagues,

The development of renewable energy (such as wind energy and solar energy) is an effective way to alleviate global environmental pollution and reduce dependence on fossil energy. However, the intermittency of renewable energy has hindered the deployment of large-scale intermittent renewable energy, which, therefore, has necessitated the development of advanced large-scale energy storage technologies. The use of advanced large-scale energy storage can effectively improve the efficiency of energy resource utilization, and increase the use of variable renewable resources and the end-use sector electrification (e.g., the electrification of the transport sector).

This Special Issue primarily aims to provide a platform for presenting the latest research findings on the technology development of large-scale energy storage. We welcome research papers on theoretical, methodological, and empirical studies, as well as review papers that provide a critical overview on the state-of-the-art of technologies. This Special Issue is open to all types of energy (such as thermal energy, mechanical energy, electrical energy, and chemical energy) using different types of systems (such as phase change materials, batteries, supercapacitors, fuel cells, compressed air, etc.) that are applicable to various types of applications (such as heat and power generation, electrical/hybrid transportation, etc.).

Topics of interest of this Special Issue include, but are not limited to, the following:

  • Novel energy storage materials and topologies;
  • Applications in electrical/hybrid-driven systems and electrical/hybrid vehicles;
  • Next-generation energy storage devices, systems, or techniques;
  • Large-scale energy storage system modeling, simulation, and optimization (including testing and modelling ageing processes);
  • Advanced control systems for energy storage
  • Business model for the application and deployment of energy storage;
  • Lifecycle analysis, safety, and reliability evaluation of energy storage systems. 

Dr. Quanqing Yu
Dr. Chun Wang
Dr. Aihua Tang
Dr. Jinpeng Tian
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. 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.

Related Special Issue

Published Papers (3 papers)

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Research

15 pages, 1299 KiB  
Article
Optimization of Frequency Modulation Energy Storage Configuration in Power Grid Based on Equivalent Full Cycle Model
by Wentao Huang, Qingqing Zheng, Ying Hu, Yalan Huang and Shasha Zhou
Energies 2024, 17(9), 2120; https://0-doi-org.brum.beds.ac.uk/10.3390/en17092120 - 29 Apr 2024
Viewed by 353
Abstract
This paper aims to meet the challenges of large-scale access to renewable energy and increasingly complex power grid structure, and deeply discusses the application value of energy storage configuration optimization scheme in power grid frequency modulation. Based on the equivalent full cycle model [...] Read more.
This paper aims to meet the challenges of large-scale access to renewable energy and increasingly complex power grid structure, and deeply discusses the application value of energy storage configuration optimization scheme in power grid frequency modulation. Based on the equivalent full cycle model and a large number of actual operation data, various energy storage technologies are technically analyzed, and the economic and environmental performance of different energy storage configuration schemes are comprehensively evaluated. On this basis, this paper puts forward a set of efficient and economical energy storage configuration optimization strategies to meet the demand of power grid frequency modulation and promote the wide application of energy storage technology. After an in-depth analysis, it is found that the optimized energy storage configuration scheme is excellent in technology, economy, and environmental protection. Specifically, in terms of technical performance, the optimization scheme has significantly improved key indicators such as energy storage efficiency, capacity and power, and response speed, which can better meet the requirements of power grid frequency modulation. Through the verification of actual operation data, it is found that the overall efficiency of the optimized energy storage configuration scheme is above 55%, which is helpful to the stability and efficiency of power grid frequency modulation. In terms of economic performance, although the initial investment cost of the optimization scheme may be high, it is found that it has good economy through the evaluation of long-term operation benefits. Considering that the energy storage system can reduce the operating cost of the power grid, improve the energy utilization rate, and achieve the optimization of cost-effectiveness in the long run, this scheme is economically feasible and attractive. In terms of environmental performance, the optimization scheme effectively reduces the negative impact on the environment by improving energy storage efficiency, reducing emissions, and optimizing resource utilization. This is not only conducive to the sustainable development of the power grid but also in line with the current global trend of promoting green and low-carbon transformation. To sum up, this paper not only provides an efficient and economical energy storage allocation optimization strategy for power grid frequency modulation but also provides a scientific basis for relevant decision-making departments. By promoting the practical application and development of energy storage technology, this paper is helpful to improve the frequency modulation ability of power grid, optimize energy structure, and reduce environmental pollution, and thus achieve the goal of sustainable energy development. The data results and in-depth analysis of this paper provide strong support for the practical application of energy storage configuration optimization scheme and also provide important reference for the further innovation and development of energy storage technology. Full article
(This article belongs to the Special Issue Advanced Energy Storage Technologies and Applications (AESAs))
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18 pages, 4588 KiB  
Article
Average Model of Switched-Energy-Tank Battery Equalizer for Accelerated Performance Assessment
by Phuong-Ha La, Nguyen-Anh Nguyen and Sung-Jin Choi
Energies 2024, 17(3), 631; https://0-doi-org.brum.beds.ac.uk/10.3390/en17030631 - 28 Jan 2024
Viewed by 599
Abstract
Assessing the performance of active balancing methods poses a significant challenge due to the time required to replicate the equalization of various balancing techniques under identical initial cell conditions. Conventional circuit simulation methods, designed for high-frequency switching behavior, impose a considerable computational burden [...] Read more.
Assessing the performance of active balancing methods poses a significant challenge due to the time required to replicate the equalization of various balancing techniques under identical initial cell conditions. Conventional circuit simulation methods, designed for high-frequency switching behavior, impose a considerable computational burden when applied to the long-term equalization of battery cells. To address this challenge, this paper presents an efficient performance evaluation method employing an average equivalent model of the equalizers. By representing the charge transfer mechanism inherent to the equalization process, the proposed approach is compatible with the most widely used switched-energy-tank equalizers. The validity of this method is confirmed through simulation and experimental results. In the case of four series-connected battery cells, our proposed approach can assess the performance of a three-hour equalization process in just one minute of execution time. The use cases in the paper highlight the practical feasibility of the AM in facilitating performance comparisons of SET-Es under various initial conditions. Full article
(This article belongs to the Special Issue Advanced Energy Storage Technologies and Applications (AESAs))
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18 pages, 2158 KiB  
Article
Capacity Degradation and Aging Mechanisms Evolution of Lithium-Ion Batteries under Different Operation Conditions
by Guoqing Luo, Yongzhi Zhang and Aihua Tang
Energies 2023, 16(10), 4232; https://0-doi-org.brum.beds.ac.uk/10.3390/en16104232 - 21 May 2023
Cited by 3 | Viewed by 2791
Abstract
Since lithium-ion batteries are rarely utilized in their full state-of-charge (SOC) range (0–100%); therefore, in practice, understanding the performance degradation with different SOC swing ranges is critical for optimizing battery usage. We modeled battery aging under different depths of discharge (DODs), SOC swing [...] Read more.
Since lithium-ion batteries are rarely utilized in their full state-of-charge (SOC) range (0–100%); therefore, in practice, understanding the performance degradation with different SOC swing ranges is critical for optimizing battery usage. We modeled battery aging under different depths of discharge (DODs), SOC swing ranges and temperatures by coupling four aging mechanisms, including the solid–electrolyte interface (SEI) layer growth, lithium (li) plating, particle cracking, and loss of active material (LAM) with a P2D model. Additionally, the mechanisms causing accelerated capacity to drop near a battery’s end of life (EOL) were investigated systematically. The results indicated that when the battery operated with a high SOC range, the capacity was more prone to accelerated degradation near the EOL. Among the four degradation mechanisms, li plating was mainly sensitive to the operation temperature and SOC swing ranges, while the SEI growth was mainly sensitive to temperature. Furthermore, there was an inhibitory interaction between li plating and SEI growth, as well as positive feedback between LAM and particle cracking during battery aging. Additionally, we discovered that the extremely low local porosity around the anode separator could cause the ‘knee point’ of capacity degradation. Full article
(This article belongs to the Special Issue Advanced Energy Storage Technologies and Applications (AESAs))
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