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Energies
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Advanced Management Techniques for Energy Storage Systems
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Advanced Management Techniques for Energy Storage Systems

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 8012

Special Issue Editors

Dr. Quan Ouyang

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Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: energy storage system; energy management; batteries
Prof. Dr. Zhisheng Wang

E-Mail Website
Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: information fusion; battery management; fusion control
Dr. Heng Li

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Guest Editor
School of Computer Science and Engineering, Central South University, Changsha 410087, China
Interests: electric vehicles; battery management systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jingwen Wei

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Guest Editor
Department of Control and System Engineering, Nanjing University, Nanjing 210093, China
Interests: theories and approaches in system identification; state estimation, prognositics and health management; optimal control of energy storage systems

Special Issue Information

Dear Colleagues,

Against the background of increasing energy demand and serious environmental crisis, renewable energy storage systems, such as batteries, supercapacitors, hydrogen, and hybrid systems, have ushered in opportunities for leapfrog development. They are ideal alternatives to fossil fuels that can effectively contribute to the optimization of the energy structure and protection of the ecological environment. The energy storage systems require advanced management to make them work more efficiently with longer lifetimes. This Special Issue highlights research efforts towards advanced management techniques for energy storage systems. Original high-quality technical papers about the modeling, state estimation, control, and fault diagnosis of energy storage systems, as well as state-of-the-art survey papers and tutorials, are invited for submission.

Topics of interest include but are not limited to:

  • Physical or data-driven models of energy storage systems;
  • Battery state-of-health/state-of-charge estimation;
  • Remaining useful life prediction for batteries, fuel cells, etc.;
  • Advanced charging control of batteries;
  • The diagnosis and prognosis of batteries, fuel cells, etc.;
  • Physics-informed aging modeling of batteries, fuel cells, etc.;
  • The energy management of hybrid energy storage systems.

Dr. Quan Ouyang
Prof. Dr. Zhisheng Wang
Dr. Heng Li
Prof. Dr. Jingwen Wei
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.

Keywords

  • energy storage system
  • energy management
  • model and state estimation
  • control

Published Papers (4 papers)

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Research

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13 pages, 1589 KiB  
Article
A Scalable Segmented-Based PEM Fuel Cell Hybrid Power System Model and Its Simulation Applications
by Lianghui Huang, Quan Ouyang, Jian Chen, Zhiyang Liu and Xiaohua Wu
Energies 2023, 16(17), 6224; https://0-doi-org.brum.beds.ac.uk/10.3390/en16176224 - 27 Aug 2023
Viewed by 684
Abstract
A scalable segmented-based proton-exchange membrane fuel cell (PEMFC) hybrid power system model is developed in this paper. The fuel cell (FC) is developed as a dynamic lumped parameter model to predict the current distributions during dynamic load scenarios. The fuel cell is segmented [...] Read more.
A scalable segmented-based proton-exchange membrane fuel cell (PEMFC) hybrid power system model is developed in this paper. The fuel cell (FC) is developed as a dynamic lumped parameter model to predict the current distributions during dynamic load scenarios. The fuel cell is segmented into 3×3 segments connected with several physical ports and with the variables balanced automatically. Based on the proposed model, a real-time energy management framework is designed to distribute the load current demand during dynamic operations. Simulation results show that the proposed strategy has good performance on both single/segmented fuel cell–battery hybrid systems and the low battery state of charge (SOC) situation. This paper proposes an approach that uses an interconnected ordinary differential equations (ODEs) system model in control problems, which makes the control algorithms readily applicable. Full article
(This article belongs to the Special Issue Advanced Management Techniques for Energy Storage Systems)
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20 pages, 3872 KiB  
Article
Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model
by Dixi Xin, Jianlin Li, Suliang Ma and Chang’an Liu
Energies 2022, 15(19), 6970; https://0-doi-org.brum.beds.ac.uk/10.3390/en15196970 - 23 Sep 2022
Viewed by 1131
Abstract
With the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of [...] Read more.
With the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of rail transit. The complementary characteristics of lithium batteries and flywheels in terms of techno-economic indicators make them the main form of hybrid energy storage. In this paper, we analyze the power demand during train operation by studying the electromechanical characteristics of the rail transit traction process. On this basis, hybrid energy storage is configured to meet the power demand, and particle swarm optimization is chosen as the solution tool to perform the capacity configuration of lithium battery and flywheel in this paper. Finally, this paper proves the feasibility of the proposed theory by arithmetic example analysis, and it is shown that the proposed scheme can achieve a high percentage of energy reuse and low application cost. Full article
(This article belongs to the Special Issue Advanced Management Techniques for Energy Storage Systems)
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16 pages, 570 KiB  
Article
Distributed ESS Capacity Decision for Home Appliances and Economic Analysis
by Yeon Ju Baik and Ye Gu Kang
Energies 2022, 15(15), 5465; https://0-doi-org.brum.beds.ac.uk/10.3390/en15155465 - 28 Jul 2022
Cited by 3 | Viewed by 1176
Abstract
The imbalance between the supply and demand of electricity is becoming expansive due to the increase in renewable energy penetration. Consequently, the time-varying electricity price is proposed as a tool to manage the mismatch. To cope with the electricity price difference across time [...] Read more.
The imbalance between the supply and demand of electricity is becoming expansive due to the increase in renewable energy penetration. Consequently, the time-varying electricity price is proposed as a tool to manage the mismatch. To cope with the electricity price difference across time and to extract the benefit to the limit, an energy storage system (ESS) can be a good tool to smooth out electricity usage. Nevertheless, ESS can be expensive due to the high installation cost and centrally managed system. In this paper, we propose a distributed ESS installed in each home appliance. Separately installed batteries can avoid sizeable initial investment costs. We calculated the benefit of the system that mainly stemmed from the electricity price difference and compared the benefits across various sizes of the battery system. In addition, the charging/discharging schedule depends on the power consumption profile and electricity price distribution. Decreasing battery prices and rising electricity price volatility can increase the system’s potential benefit. Full article
(This article belongs to the Special Issue Advanced Management Techniques for Energy Storage Systems)
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Review

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32 pages, 11837 KiB  
Review
Batteries and Hydrogen Storage: Technical Analysis and Commercial Revision to Select the Best Option
by José Manuel Andújar, Francisca Segura, Jesús Rey and Francisco José Vivas
Energies 2022, 15(17), 6196; https://0-doi-org.brum.beds.ac.uk/10.3390/en15176196 - 25 Aug 2022
Cited by 9 | Viewed by 3887
Abstract
This paper aims to analyse two energy storage methods—batteries and hydrogen storage technologies—that in some cases are treated as complementary technologies, but in other ones they are considered opposed technologies. A detailed technical description of each technology will allow to understand the evolution [...] Read more.
This paper aims to analyse two energy storage methods—batteries and hydrogen storage technologies—that in some cases are treated as complementary technologies, but in other ones they are considered opposed technologies. A detailed technical description of each technology will allow to understand the evolution of batteries and hydrogen storage technologies: batteries looking for higher energy capacity and lower maintenance, while hydrogen storage technologies pursuing better volumetric and gravimetric densities. Additionally, as energy storage systems, a mathematical model is required to know the state of charge of the system. For this purpose, a mathematical model is proposed for conventional batteries, for compressed hydrogen tanks, for liquid hydrogen storage and for metal hydride tanks, which makes it possible to integrate energy storage systems into management strategies that aim to solve the energy balance in plants based on hybrid energy storage systems. From the technical point of view, most batteries are easier to operate and do not require special operating conditions, while hydrogen storage methods are currently functioning at the two extremes (high temperatures for metal and complex hydrides and low temperatures for liquid hydrogen or physisorption). Additionally, the technical comparison made in this paper also includes research trends and future possibilities in an attempt to help plan future policies. Full article
(This article belongs to the Special Issue Advanced Management Techniques for Energy Storage Systems)
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