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Research on Battery Energy Storage in Renewable Energy Systems
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Research on Battery Energy Storage in Renewable Energy Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 7670

Special Issue Editors

Prof. Dr. Jilei Ye

E-Mail Website
Guest Editor
School of Energy Sciences and Engineering, Nanjing Tech University, Nanjing 211816, China
Interests: battery modeling; state estimation; life prediction; safety diagnostics; thermal management; battery energy storage; charging–discharging management; economic modeling
Dr. Zhuoyuan Zheng

E-Mail Website
Guest Editor
School of Energy Science and Engineering, Nanjing Tech University, Nanjing 210009, China
Interests: lithium-ion battery; electrochemical energy storage materials; solid-state electrolyte; mechanical-electrochemical coupling; multiscale simulation; machine learning; polyelectrolyte gels
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Battery energy storage systems (BESS) play multiple roles in improving the safety, stability and reliability of renewable energy systems. Many studies show that the safety and performance of battery energy storage can be improved through monitoring, estimation and management. Machine-learning methods are applied for state of charge, health, power and energy estimation, as well as for life prediction and fault diagnosis. In addition, thermal management is very important for the safety and life of BESS, including air-based cooling systems, liquid-based cooling systems, heating systems, etc. All of the above methodologies are helpful for prolonging the safety and economy of BESS, which will promote its large-scale application in renewable energy systems.    

This Special Issue on “Research on Battery Energy Storage in Renewable Energy Systems” seeks high-quality works focusing on the latest novel advances in the modeling, prediction and management technology for battery energy storage. Topics include, but are not limited to:

  • Battery energy storage modeling for different time-scale applications;
  • The SOX (X=P, H, C, E, etc.) estimation of battery energy storage;
  • Life prediction of battery energy storage;
  • Battery electro-thermal coupled characteristic and management technology;
  • Battery safety improvement and on-line fault diagnosis;
  • Battery energy storage integration, optimization and economic modeling with different market mechanism.

Prof. Dr. Jilei Ye
Dr. Zhuoyuan Zheng
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. Processes 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 2400 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

  • battery energy storage
  • modeling
  • safety
  • thermal management
  • integration
  • optimization

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Published Papers (5 papers)

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Research

Jump to: Review

13 pages, 4740 KiB  
Article
Evaluation of Supercapacitive Properties of a PPY/PANI Bilayer Electrodeposited onto Carbon-Graphite Electrodes Obtained from Spent Batteries
by Rafaela D. Oliveira, Cleverson S. Santos, Bruna M. Hryniewicz, Luís F. Marchesi and Christiana A. Pessoa
Processes 2024, 12(1), 31; https://doi.org/10.3390/pr12010031 - 22 Dec 2023
Cited by 1 | Viewed by 1315
Abstract
Recently, many efforts have been made to reuse spent batteries in response to the growing demand for sustainable materials production. In parallel, supercapacitors have attracted significant attention for their use in addressing some of the limitations of conventional capacitors and batteries. In this [...] Read more.
Recently, many efforts have been made to reuse spent batteries in response to the growing demand for sustainable materials production. In parallel, supercapacitors have attracted significant attention for their use in addressing some of the limitations of conventional capacitors and batteries. In this context, this paper describes the preparation, characterization, and supercapacitive performance evaluation of carbon-graphite (CG) electrodes obtained from spent zinc–carbon batteries and modified with polypyrrole (PPY) and polyaniline (PANI). The parameters of PPY and PANI electropolymerization were optimized. CG/PPY, CG/PANI, and CG/PPY/PANI electrodes were obtained to compare their electrochemical responses. Cyclic voltammetry (CV), galvanostatic charge–discharge curves (GCDC), and electrochemical impedance spectroscopy (EIS) were used to evaluate the pseudocapacitive properties of the CG/PPY/PANI-modified electrode. The CG/PPY/PANI electrode showed a specific capacitance of 3416 mF cm−2 in a current density of 2 mA cm−2 and a retention capacity of 76% after 850 GCDC cycles. Thus, CG/PPY/PANI electrodes are shown to be good candidates for use in the development of energy storage devices. In addition, reused CG electrodes from spent batteries have other advantages like low cost, facile construction, and environmental friendliness. Full article
(This article belongs to the Special Issue Research on Battery Energy Storage in Renewable Energy Systems)
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18 pages, 6806 KiB  
Article
Design and Performance Evaluation of Liquid-Cooled Heat Dissipation Structure for Lithium Battery Module
by Yifei Zhao, Jianhong Chen and Wanrong He
Processes 2023, 11(6), 1769; https://doi.org/10.3390/pr11061769 - 10 Jun 2023
Cited by 4 | Viewed by 1766
Abstract
The current global resource shortage and environmental pollution are becoming increasingly serious, and the development of the new energy vehicle industry has become one of the important issues of the times. In this paper, a nickel–cobalt lithium manganate (NCM) battery for a pure [...] Read more.
The current global resource shortage and environmental pollution are becoming increasingly serious, and the development of the new energy vehicle industry has become one of the important issues of the times. In this paper, a nickel–cobalt lithium manganate (NCM) battery for a pure electric vehicle is taken as the research object, a heat dissipation design simulation is carried out using COMSOL software, and a charging heat generation model of the battery pack is established. Combined with the related research on the thermal management technology of the lithium-ion battery, five liquid-cooled temperature control models are designed for thermal management, and their temperature control simulation and effect analysis are carried out. Finally, the performance evaluation system of the thermal management scheme of the lithium-ion battery pack is established based on the analytic network process (ANP) and system dynamics (SD), and the performance of the above five thermal management design models is comprehensively scored and analyzed. The results show that liquid-cooled Models 1 (86.7075) and 5 (89.1055) have the highest overall scores, meeting both the temperature control requirements and the overall thermal management performance, and it is recommended to apply the working condition settings for which they are evaluated as Level I. Full article
(This article belongs to the Special Issue Research on Battery Energy Storage in Renewable Energy Systems)
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17 pages, 6014 KiB  
Article
Research on a Multi-Agent Cooperative Control Method of a Distributed Energy Storage System
by Tao Shi, Xuan Qiu, Chunsheng Tang and Linan Qu
Processes 2023, 11(4), 1149; https://doi.org/10.3390/pr11041149 - 9 Apr 2023
Viewed by 1260
Abstract
For the flexible regulation requirements of new power systems with a high proportion of new energy, this paper proposes a multi-point distributed energy storage system control method based on the idea of multi-agent cooperative control. On the one hand, the method transforms and [...] Read more.
For the flexible regulation requirements of new power systems with a high proportion of new energy, this paper proposes a multi-point distributed energy storage system control method based on the idea of multi-agent cooperative control. On the one hand, the method transforms and upgrades the strategies of each distributed battery energy storage control system to make it a terminal agent with active response and control functions; on the other hand, a coordination agent is set between the power grid and each terminal agent, the coordinated control of the distributed energy storage system is realized by the information interaction between the coordination agent and the terminal agent. The simulation results show that the method can fully exploit the aggregate regulation ability of the distributed energy storage system, quickly stabilize the frequency fluctuation of new energy, and support the safe and economical operation of the system. Full article
(This article belongs to the Special Issue Research on Battery Energy Storage in Renewable Energy Systems)
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20 pages, 4156 KiB  
Article
Research on the Participation of Household Battery Energy Storage in the Electricity Peak Regulation Ancillary Service Market
by Libao Jiang and Xiaojing Wang
Processes 2023, 11(3), 794; https://doi.org/10.3390/pr11030794 - 7 Mar 2023
Cited by 2 | Viewed by 1409
Abstract
Household battery energy storage (HBES) is expected to play an important role in the transition to decarbonized energy systems by enabling the further penetration of renewable energy technologies while assuring power grid stability. However, the hitherto high installation cost is a key barrier [...] Read more.
Household battery energy storage (HBES) is expected to play an important role in the transition to decarbonized energy systems by enabling the further penetration of renewable energy technologies while assuring power grid stability. However, the hitherto high installation cost is a key barrier for further deployment of HBES. Therefore, in order to improve its economic feasibility, we will study how HBES participates in the electricity peak regulation ancillary service market (PRASM) in China, which can add new sources of income for HBES. When participating in PRASM, the market mechanism first needs to be understood, and the framework for participating in PRASM needs to be established. In this framework, HBES needs to be aggregated into a cluster by the aggregator to participate in PRASM. In this participation process, the aggregator first needs to determine the controllable capacity of HBES and analyze its uncertainty. After the upper limit of the controllable capacity is determined, the aggregator will be able to more accurately formulate the bidding strategy considering the reserve capacity and charging power allocation strategy to maximize the net income. In this paper, particle swarm optimization and chaos optimization are combined to solve this problem, and finally different scenarios are analyzed through example analysis. The results of the case analysis show that the bidding strategy considering the reserve capacity proposed in this paper can effectively reduce the output deviation value and has a relatively higher economy. Full article
(This article belongs to the Special Issue Research on Battery Energy Storage in Renewable Energy Systems)
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Review

Jump to: Research

23 pages, 3414 KiB  
Review
A Review of Parameter Identification and State of Power Estimation Methods for Lithium-Ion Batteries
by Changlong Ma, Chao Wu, Luoya Wang, Xueyang Chen, Lili Liu, Yuping Wu and Jilei Ye
Processes 2024, 12(10), 2166; https://doi.org/10.3390/pr12102166 - 4 Oct 2024
Viewed by 794
Abstract
Lithium-ion batteries are widely applied in the form of new energy electric vehicles and large-scale battery energy storage systems to improve the cleanliness and greenness of energy supply systems. Accurately estimating the state of power (SOP) of lithium-ion batteries ensures long-term, efficient, safe [...] Read more.
Lithium-ion batteries are widely applied in the form of new energy electric vehicles and large-scale battery energy storage systems to improve the cleanliness and greenness of energy supply systems. Accurately estimating the state of power (SOP) of lithium-ion batteries ensures long-term, efficient, safe and reliable battery operation. Considering the influence of the parameter identification accuracy on the results of state of power estimation, this paper presents a systematic review of model parameter identification and state of power estimation methods for lithium-ion batteries. The parameter identification methods include the voltage response curve analysis method, the least squares method and so on. On this basis, the methods used for modeling and estimating the SOP of battery cells and battery packs are classified and elaborated, focusing on summarizing the research progress observed regarding the joint estimation method for multiple states of battery cells. In conclusion, future methods for estimating the SOP of lithium-ion batteries and their improvement targets are envisioned based on the application requirements for the safe management of lithium-ion batteries. Full article
(This article belongs to the Special Issue Research on Battery Energy Storage in Renewable Energy Systems)
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