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Advances in Electrochemical Energy Storage and Conversion

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 (20 February 2023) | Viewed by 3225

Special Issue Editor


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Guest Editor
Institute for Energy Research, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: design and controllable synthesis of functional nanomaterials; electrochemical energy storage and conversion

Special Issue Information

Dear Colleagues,

The conversion of chemical energy to electrical energy and vice versa provides promising strategies to meet the ever-growing deployment of renewable energy. Systems of electrochemical energy storage and conversion today have already played an essential role in powering various portable, automotive, and stationary devices. To maximize energy storage density and conversion efficiency, research on both electrode materials and electrochemical reaction processes is a worthy endeavor.

Significant progress has been made in recent years toward the development of high-performance electrochemical technologies, including the fabrication of new catalysts with controllable composition and structure, in situ/operando characterization of catalytic processes, as well as theoretical approaches for the understanding of catalytic mechanisms. On one hand, the cost reduction, energy density promotion, and stabilization associated with the use of catalytic mechanisms continue to optimize their cost-effective commercialization. On the other hand, the complexity of this technology requires collaborative efforts involving the disciplines of chemistry, physics, materials science, as well as computational modeling/simulation.

This Special Issue invites high-quality research articles both in experimental and theoretical studies toward electrochemical energy storage and conversion technologies. Reviews and perspectives to share and discuss the latest developments and future trends in this promising field are also welcome.

Potential topics include but are not limited to the following:

  1. Batteries, supercapacitors, and fuel cells;
  2. Water splitting;
  3. Electrochemical CO2 reduction;
  4. Electrochemical synthesis of high value-added chemicals;
  5. Advanced nanomaterials for energy applications;
  6. In situ/operando techniques for understanding energy storage and conversion processes;
  7. Theoretical studies and computational modeling of catalytic mechanisms;
  8. Machine learning for energy storage and conversion.

Dr. Junfeng Liu
Guest Editor

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

  • electrocatalysis
  • batteries
  • fuel cells
  • water splitting
  • nanomaterials
  • theoretical calculations 
  • machine learning

Published Papers (1 paper)

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Research

19 pages, 7144 KiB  
Article
Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer
by Ashikur Rahman, Xianke Lin and Chongming Wang
Energies 2022, 15(15), 5662; https://doi.org/10.3390/en15155662 - 4 Aug 2022
Cited by 7 | Viewed by 2793
Abstract
The anode state of charge (SOC) and degradation information pertaining to lithium-ion batteries (LIBs) is crucial for understanding battery degradation over time. This information about each cell in a battery pack can help prolong the battery pack’s life cycle. Because of the limited [...] Read more.
The anode state of charge (SOC) and degradation information pertaining to lithium-ion batteries (LIBs) is crucial for understanding battery degradation over time. This information about each cell in a battery pack can help prolong the battery pack’s life cycle. Because of the limited observability, estimating the anode state and capacity fade is difficult. This task is even more challenging for the cells in a battery pack, as the current through the individual cell is not constant when cells are connected in parallel. Considering these challenges, this paper presents a novel method to set up three-electrode cells by using the battery’s casing as a reference electrode for building a three-electrode battery pack. This work is a continuation of the authors’ previous research. An unknown input observer (UIO) is employed to estimate the anode SOC of an individual battery in the battery pack. To ensure the stability of a defined Lyapunov function, the UIO parameter matrices are expressed as a linear matrix inequality (LMI). The anode SOC of a lithium nickel manganese cobalt oxide (NMC) battery is estimated by using the standard graphite potential (SGP) and state of lithiation (SOL) characteristic curve. The anode capacity is then calculated by using the total charge transferred in a charging cycle and the estimated SOC of the anode. The degradation of the battery is then evaluated by comparing the capacity fading of the anode to the total charge carried to the cell. The proposed method can estimate the anode SOC and capacity fade of an individual battery in a battery pack, which can monitor the degradation of the individual batteries and the battery pack in real time. By using the proposed method, we can identify the over-degraded batteries in the pack for remaining useful life analysis on the battery. Full article
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage and Conversion)
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