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Batteries, Volume 11, Issue 8

August 2025 - 36 articles

Cover Story: Lithium metal is a promising anode for next-generation batteries, but its processing is challenging due to high reactivity and poor machinability. This study investigates laser cutting as a non-contact alternative to mechanical separation, comparing nanosecond and picosecond pulse durations. Analysis of cutting-edge quality, heat-affected zones, and melt formation shows that shorter pulses reduce thermal damage and improve electrode integrity. Electrochemical tests in symmetric Li|Li cells reveal that laser-cut anodes outperform mechanically separated ones, exhibiting improved cycling stability despite locally inactive lithium. These results highlight optimized laser processing as a key step toward reliable lithium metal anodes for solid-state batteries. View this paper
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Articles (36)

  • Article
  • Open Access
2,908 Views
16 Pages

As the penetration of intermittent renewable energy sources continues to increase, ensuring reliable power system and frequency stability is of importance. Battery energy storage systems (BESSs) have emerged as an important solution to mitigate these...

  • Article
  • Open Access
1 Citations
1,948 Views
15 Pages

This paper introduces PyBEP, a Python-based tool for the automated and optimized selection of open-circuit potential (OCP) curves and calculation of stoichiometric cycling ranges for lithium-ion battery electrodes based on open-circuit voltage (OCV)...

  • Article
  • Open Access
1 Citations
1,231 Views
26 Pages

The exponential growth of lithium-ion battery consumption has amplified the urgency of identifying sustainable and economically viable recycling solutions. This study proposes an integrated decision-making framework based on the T-Spherical Fuzzy Ein...

  • Review
  • Open Access
1,504 Views
14 Pages

Review of Quasi-Solid Aqueous Zinc Batteries: A Bibliometric Analysis

  • Zhongxiu Liu,
  • Xiaoou Zhou,
  • Tongyuan Shen,
  • Miaomiao Yu,
  • Liping Zhu,
  • Guiyin Xu and
  • Meifang Zhu

Quasi-solid aqueous zinc batteries (QSAZBs) have wide applications in the energy storage field due to their advantages of high safety, cost-effectiveness, and eco-friendliness. Despite prolific research output in the field of QSAZBs, existing reviews...

  • Review
  • Open Access
1 Citations
5,039 Views
23 Pages

All-solid-state anode-free sodium batteries present a special and especially important kind of energy storage device. Unfortunately, the industrial production of such batteries has been absent up to now, although the prospects of their development se...

  • Article
  • Open Access
1,265 Views
15 Pages

Performance of Low-Cost Energy Dense Mixed Material MnO2-Cu2O Cathodes for Commercially Scalable Aqueous Zinc Batteries

  • Gautam G. Yadav,
  • Malesa Sammy,
  • Jungsang Cho,
  • Megan N. Booth,
  • Michael Nyce,
  • Jinchao Huang,
  • Timothy N. Lambert,
  • Damon E. Turney,
  • Xia Wei and
  • Sanjoy Banerjee

Zinc (Zn)-based batteries have attracted significant interest for applications ranging from electric bikes to grid storage because of its advantageous properties like high abundance, non-toxicity and low-cost. Zn offers a high theoretical capacity of...

  • Review
  • Open Access
1 Citations
3,531 Views
125 Pages

This paper presents a comprehensive review of research on sulfurized polyacrylonitrile (SPAN) for rechargeable batteries which was firstly reported by Jiulin Wang in July 2002. Spanning over two decades (2002–2025), this review cites over 600 p...

  • Article
  • Open Access
1 Citations
1,026 Views
16 Pages

Developing a CeS2/ZnS Quantum Dot Composite Nanomaterial as a High-Performance Cathode Material for Supercapacitor

  • Shan-Diao Xu,
  • Li-Cheng Wu,
  • Muhammad Adil,
  • Lin-Feng Sheng,
  • Zi-Yue Zhao,
  • Kui Xu and
  • Xin Chen

To develop high-performance electrode materials for supercapacitors, in this paper, a heterostructured composite material of cerium sulfide and zinc sulfide quantum dots (CeS2/ZnS QD) was successfully prepared by hydrothermal method. Characterization...

  • Article
  • Open Access
1 Citations
2,175 Views
22 Pages

Deep Neural Network with Anomaly Detection for Single-Cycle Battery Lifetime Prediction

  • Junghwan Lee,
  • Longda Wang,
  • Hoseok Jung,
  • Bukyu Lim,
  • Dael Kim,
  • Jiaxin Liu and
  • Jong Lim

Large-scale battery datasets often contain anomalous data due to sensor noise, communication errors, and operational inconsistencies, which degrade the accuracy of data-driven prognostics. However, many existing studies overlook the impact of such an...

  • Article
  • Open Access
1,228 Views
16 Pages

The transition to electric mobility has significantly increased the demand for lithium-ion batteries, raising concerns about their end-of-life management. Therefore, this study presents the design, development and first implementation steps of a stat...

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Batteries - ISSN 2313-0105