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Electrochem
Special Issues
Advances in Electrochemical Energy Storage Systems
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Advances in Electrochemical Energy Storage Systems

A special issue of Electrochem (ISSN 2673-3293).

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 20458

Special Issue Editors

Dr. Qi Zhang

E-Mail Website
Guest Editor
School of Control Science and Engineering, Shandong University, Jinan 250061, China
Interests: electric vehicle; electrochemical energy storage system; battery system; battery management system; lithium-ion battery
Special Issues, Collections and Topics in MDPI journals
Dr. Wenhui Pei

E-Mail Website
Guest Editor
School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250023, China
Interests: unmanned vehicles; electric vehicles; power system simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Xudong Liu

E-Mail Website
Guest Editor
School of Automation, Qingdao University, Qingdao 266071, China
Interests: electric vehicles; electric drive systems; nonlinear control

Special Issue Information

Dear Colleagues,

Electrochemical energy storage systems absorb, store and release energy in the form of electricity, and apply technologies from related fields such as electrochemistry, electricity and electronics, thermodynamics, and mechanics. The development of the new energy industry is inseparable from energy storage technology. Energy storage systems can eliminate the difference between day and night peaks and valleys; play a role in smooth output, peak and frequency regulation and reserve capacity; meet the requirements of stable and safe access to the power grid for new energy power generation; and effectively reduce the phenomenon of abandoning wind and solar photovoltaics as energy sources. Electrochemical energy storage systems are composed of a bidirectional energy storage converter (PCS), an energy management system (EMS), an energy storage battery and battery management system (BMS), electrical components, a thermal management system, mechanical support, etc. The combination of safety, cost reduction, intelligence and diversified systems is the future development direction of electrochemical energy storage systems. Therefore, there is an urgent need to investigate new strategies and promising approaches for electrochemical energy storage systems. With Special Issue we aim to provide an overview of recent advances in electrochemical energy storage systems and their applications in different fields. A further aim of this Special Issue is to provide a contribution to advances in modelling, estimation, optimal control, and applications of electrochemical energy storage systems and related devices and components.

Potential topics include, but are not limited to:

  • Electrochemical materials for energy storage batteries;
  • Key technology of battery management systems (BMSs);
  • Bidirectional converters for electrochemical energy storage systems;
  • Energy management of electrochemical energy storage systems;
  • Optimized design and control of electrical components for energy storage systems;
  • Thermal management of electrochemical energy storage systems;
  • Optimized control of power electronics and power drives;
  • Vehicle-to-grid and energy storage systems-to-grid;
  • Key technology of unmanned aerial vehicle (UAV) and unmanned vehicles.

Dr. Qi Zhang
Dr. Wenhui Pei
Dr. Xudong Liu
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. Electrochem is an international peer-reviewed open access quarterly 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 1000 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 batteries
  • battery management systems (BMSs)
  • bidirectional energy storage converters
  • energy management systems (EMSs)
  • electrical components
  • thermal management systems
  • power electronics and power drives
  • smart grid
  • unmanned vehicles

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

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Editorial

Jump to: Research, Review

4 pages, 607 KiB  
Editorial
Advances in Electrochemical Energy Storage Systems
by Qi Zhang, Wenhui Pei and Xudong Liu
Electrochem 2022, 3(2), 225-228; https://doi.org/10.3390/electrochem3020014 - 21 Apr 2022
Cited by 4 | Viewed by 2928
Abstract
The large-scale development of new energy and energy storage systems is a key way to ensure energy security and solve the environmental crisis, as well as a key way to achieve the goal of “carbon peaking and carbon neutrality” [...] Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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Research

Jump to: Editorial, Review

16 pages, 2780 KiB  
Article
Artificial Intelligence for Electrochemical Prediction and Optimization of Direct Carbon Fuel Cells Fueled with Biochar
by Adam Cherni and Kamel Halouani
Electrochem 2024, 5(1), 29-44; https://doi.org/10.3390/electrochem5010002 - 4 Jan 2024
Viewed by 1950
Abstract
At present, direct carbon fuel cells constitute an emerging energy technology that electrochemically converts solid carbon to electricity with high efficiency. The recent trend of DCFCs fueled with biochar from biomass carbonization as green fuel has reinforced the environmental benefits of DCFCs as [...] Read more.
At present, direct carbon fuel cells constitute an emerging energy technology that electrochemically converts solid carbon to electricity with high efficiency. The recent trend of DCFCs fueled with biochar from biomass carbonization as green fuel has reinforced the environmental benefits of DCFCs as a clean and sustainable technology. However, there remain new challenges related to some complex unknown kinetic parameters, X=(αa,αc,σg,i0,a,i0,c,ilO2,ilCO2,c,ilCO2,a,ilCO), of the electrochemical conversion of biochar in DCFCs and there is a need for intelligent techniques for prediction and optimization, refering to the available experimental data. The differential evolution (DE) algorithm, which ranked as one of the top performers in optimization competitions with competitive accuracy and convergence speed, was used here for providing the optimized values of these parameters by minimizing the root mean squared errors (RMSE). The proposed technique was then applied to DCFCs fueled by activated pure carbon (APC) using CO2 and CO/CO2 electrochemical models with RMSE around 10−2 and 10−3, respectively. Then, the CO/CO2 model was applied to a DCFC fueled with almond shell biochar (ASB), which displayed a slight increase in RMSE (of the order of 10−2) due to the complex porous structure of ASB and the content of additional chemical elements that affect the electrochemistry of the DCFC and are not considered in the model. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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20 pages, 5938 KiB  
Article
A Novel Online State of Health Estimation Method for Electric Vehicle Pouch Cells Using Magnetic Field Imaging and Convolution Neural Networks
by Mehrnaz Javadipour, Toshan Wickramanayake, Seyed Amir Alavi and Kamyar Mehran
Electrochem 2022, 3(4), 769-788; https://doi.org/10.3390/electrochem3040051 - 18 Nov 2022
Cited by 2 | Viewed by 2579
Abstract
Lithium-ion batteries (LiBs) are used as the main power source in electric vehicles (EVs). Despite their high energy density and commercial availability, LiBs chronically suffer from non-uniform cell ageing, leading to early capacity fade in the battery packs. In this paper, a non-invasive, [...] Read more.
Lithium-ion batteries (LiBs) are used as the main power source in electric vehicles (EVs). Despite their high energy density and commercial availability, LiBs chronically suffer from non-uniform cell ageing, leading to early capacity fade in the battery packs. In this paper, a non-invasive, online characterisation method based on deep learning models is proposed for cell-level SoH estimation. For an accurate measurement of the state of health (SoH), we need to characterize electrochemical capacity fade scenarios carefully. Then, with the help of real-time monitoring, the control systems can reduce the LiB’s degradation. The proposed method, which is based on convolutional neural networks (CNN), characterises the changes in current density distributions originating from the positive electrodes in different SoH states. For training and classification by the deep learning model, current density images (CDIs) were experimentally acquired in different ageing conditions. The results confirm the efficiency of the proposed approach in online SoH estimation and the prediction of the capacity fade scenarios. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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11 pages, 737 KiB  
Article
Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review
by Aijuan Li, Yuanshuai Jiang, Xinnian Sun, Huajun Chi, Chuanhu Niu and Gang Liu
Electrochem 2022, 3(4), 688-698; https://doi.org/10.3390/electrochem3040045 - 11 Oct 2022
Cited by 3 | Viewed by 2520
Abstract
Electrochemical energy storage technology has the characteristics of convenient use, fast response, and flexible configuration. At present, the energy storage technology used in smart electric vehicles is mainly electrochemical energy storage technology. In particular, the promotion of electrochemical energy storage technology in the [...] Read more.
Electrochemical energy storage technology has the characteristics of convenient use, fast response, and flexible configuration. At present, the energy storage technology used in smart electric vehicles is mainly electrochemical energy storage technology. In particular, the promotion of electrochemical energy storage technology in the field of smart electric vehicles is an effective way to achieve the goal of carbon neutrality. One of the most critical issues limiting the development and popularity of intelligent electric vehicles is the performance and range of power batteries; vehicle path planning is very important to the performance of power batteries and the driving range. Improved path planning algorithms can obviously shorten the path length and reduce the time of searching and planning a path under the condition of the same starting point and end point, that is, to increase the range of the power battery. On the premise of the comprehensive analysis of the intelligent electric vehicle’s grasp of environmental information, trajectory planning methods are divided into local trajectory planning and global trajectory planning methods. The main content of the trajectory planning method is given, the key technologies involved in the research are discussed, and its advantages and disadvantages are analyzed. Finally, the main development trends of intelligent electric vehicle trajectory planning technology in the future are proposed. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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9 pages, 3609 KiB  
Article
Influence of Doping Concentration and Thickness of Regions on the Performance of InGaN Single Junction-Based Solar Cells: A Simulation Approach
by D. Parajuli, Deb Kumar Shah, Devendra KC, Subhash Kumar, Mira Park and Bishweshwar Pant
Electrochem 2022, 3(3), 407-415; https://doi.org/10.3390/electrochem3030028 - 28 Jul 2022
Cited by 20 | Viewed by 4701
Abstract
The impact of doping concentration and thickness of n-InGaN and p-InGaN regions on the power conversion efficiency of single junction-based InGaN solar cells was studied by the Silvaco ATLAS simulation software. The doping concentration 5 × 1019 cm−3 and 1 × [...] Read more.
The impact of doping concentration and thickness of n-InGaN and p-InGaN regions on the power conversion efficiency of single junction-based InGaN solar cells was studied by the Silvaco ATLAS simulation software. The doping concentration 5 × 1019 cm−3 and 1 × 1015 cm−3 were optimized for n-InGaN and p-InGaN regions, respectively. The thickness of 300 nm was optimized for both n-InGaN and p-InGaN regions. The highest efficiency of 22.17% with Jsc = 37.68 mA/cm2, Voc = 0.729 V, and FF = 80.61% was achieved at optimized values of doping concentration and thickness of n-InGaN and p-InGaN regions of InGaN solar cells. The simulation study shows the relevance of the Silvaco ATLAS simulation tool, as well as the optimization of doping concentration and thickness of n- and p-InGaN regions for solar cells, which would make the development of high-performance InGaN solar cells low-cost and efficient. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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Review

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24 pages, 6398 KiB  
Review
Recent Advancements in Selenium-Based Cathode Materials for Lithium Batteries: A Mini-Review
by Mustafa Khan, Xuli Ding, Hongda Zhao, Yuxin Wang, Ning Zhang, Xiaojing Chen and Jiahao Xu
Electrochem 2022, 3(2), 285-308; https://doi.org/10.3390/electrochem3020020 - 1 Jun 2022
Cited by 12 | Viewed by 3830
Abstract
Selenium (Se)-based cathode materials have garnered considerable interest for lithium-ion batteries due to their numerous advantages, including low cost, high volumetric capacity (3268 mAh cm−3), high density (4.82 g cm−3), ability to be cycled to high voltage (4.2 V) [...] Read more.
Selenium (Se)-based cathode materials have garnered considerable interest for lithium-ion batteries due to their numerous advantages, including low cost, high volumetric capacity (3268 mAh cm−3), high density (4.82 g cm−3), ability to be cycled to high voltage (4.2 V) without failure, and environmental friendliness. However, they have low electrical conductivity, low coulombic efficiency, and polyselenide solubility in electrolytes (shuttle effect). These factors have an adverse effect on the electrochemical performance of Li-Se batteries, rendering them unsuitable for real-world use. In this study, we briefly examined numerous approaches to overcoming these obstacles, including selecting an adequate electrolyte, the composition of Se with carbonaceous materials, and the usage of metal selenide base electrodes. Furthermore, we examined the effect of introducing interlayers between the cathode and the separator. Finally, the remaining hurdles and potential study prospects in this expanding field are proposed to inspire further insightful work. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)
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