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Batteries, Volume 11, Issue 10

October 2025 - 30 articles

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Articles (30)

  • Review
  • Open Access

A Critical Review of AI-Based Battery Remaining Useful Life Prediction for Energy Storage Systems

  • Kuo Yang,
  • Shunli Wang,
  • Lei Zhou,
  • Carlos Fernandez and
  • Frede Blaabjerg

15 October 2025

This paper provides a comprehensive review of recent advances in remaining useful life prediction for lithium-ion battery energy storage systems. Existing approaches are generally categorized into model-based methods, data-driven methods, and hybrid...

  • Article
  • Open Access

Rapid Prediction of Maximum Remaining Capacity in Lithium-Ion Batteries Based on Charging Segment Features and GA_DBO_BPNN

  • Yifei Cao,
  • Rui Wang,
  • Qizhi Li,
  • Peng Zhou,
  • Aqing Li,
  • Penghao Cui,
  • Quanhong Tao and
  • Zhendong Shao

13 October 2025

Rapid and accurate prediction of the maximum remaining life of lithium-ion batteries is a critical technical challenge for enhancing battery management system reliability and enabling the efficient secondary utilization of retired batteries. Traditio...

  • Article
  • Open Access

13 October 2025

The rapid development and spread of electric vehicles is fundamentally revolutionizing transportation in the European Union and around the world. With the diffusion of electric vehicles, issues related to the batteries that power them have also becom...

  • Review
  • Open Access
238 Views
32 Pages

12 October 2025

The structure, chemical composition, thermal stability, and abuse responses of cathode materials are critical to the safety and economy of lithium-ion batteries (LIBs). This review systematically summarizes advances in research on how cathode materia...

  • Article
  • Open Access
132 Views
22 Pages

10 October 2025

Based on a fractional-order equivalent circuit model, this paper proposes a multi-timescale collaborative State of Energy (SOE) and State of Health (SOH) estimation method (FOASTFREKF-EKF) for lithium batteries to mitigate the influence of model inac...

  • Article
  • Open Access
243 Views
23 Pages

An Empirical Multi-Stage One-Step Battery Thermal Runaway Model Based on Arrhenius Reaction Rate Formalism

  • Alexander Ruth,
  • Martin Hantinger,
  • Alexander Machold and
  • Andreas Ennemoser

9 October 2025

This study develops a multi-stage, Arrhenius-type reaction rate model for exothermic heat release during thermal runaway (TR) that depends on the local active material temperature, TCell, and the remaining reactant fraction, Y. Model parameters are i...

  • Article
  • Open Access
223 Views
10 Pages

6 October 2025

This paper presents a day-ahead forecasting approach for discharge profiles of a 0.5 MW battery energy storage system connected to the power grid, utilizing historical daily discharge profiles collected over one year to capture key operational patter...

  • Article
  • Open Access
309 Views
33 Pages

5 October 2025

The transition to electric mobility has intensified efforts to develop battery technologies that are not only high-performing but also environmentally sustainable. A critical element in battery system design is the structural housing, which must prov...

  • Article
  • Open Access
597 Views
12 Pages

A MOF-Mediated Strategy for In Situ Niobium Doping and Synthesis of High-Performance Single-Crystal Ni-Rich Cathodes

  • Yinkun Gao,
  • Huazhang Zhou,
  • Shumin Liu,
  • Shuyun Guan,
  • Mingyang Liu,
  • Peng Gao,
  • Yongming Zhu and
  • Xudong Li

5 October 2025

The development of single-crystal Ni-rich layered cathode materials (SC-NCMs) is regarded as an effective strategy to address the mechanical failure issues commonly associated with polycrystalline counterparts. However, the industrial production of S...

  • Article
  • Open Access
455 Views
13 Pages

3 October 2025

Battery technology plays an increasingly vital role in portable electronic devices, electric vehicles, and renewable energy storage. During operation, batteries undergo performance degradation, which not only reduces device efficiency, but may also p...

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