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Advanced Battery Technologies for Energy Storage

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D2: Electrochem: Batteries, Fuel Cells, Capacitors".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 431

Editors

School of Aerospace Engineering, Xiamen University, Xiamen 361005, China
Interests: lithium-ion battery; battery management; structural batteries; carbon-fiber reinforced polymer

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Guest Editor
CMT—Clean Mobility and Thermofluids, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: lithium-ion battery; battery thermal management; battery aging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advanced battery technologies are playing an increasingly important role in the global transition toward clean, efficient, and sustainable energy systems. As the demand for high-performance energy storage continues to grow in electric vehicles, smart grids, portable electronics, renewable energy integration, and industrial energy systems, batteries are expected to deliver higher energy and power density, longer service life, improved safety, lower cost, and enhanced environmental sustainability. Achieving these goals requires continued advances in electrode materials, electrolytes, cell architecture, battery management, modeling, diagnostics, recycling, and system-level integration.

This Special Issue, “Advanced Battery Technologies for Energy Storage”, aims to provide a platform for the dissemination of recent progress in battery science, engineering, and applications. We welcome the submission of original research articles and review papers covering experimental, numerical, and theoretical studies related to advanced batteries and energy storage systems. Topics of interest include, but are not limited to, the following:

  • Novel electrode and electrolyte materials;
  • Lithium-ion and post-lithium battery chemistries;
  • Solid-state and quasi-solid-state batteries;
  • Metal-ion and metal–air batteries, and structural and flexible batteries;
  • Battery thermal management;
  • Safety and reliability, state estimation, degradation diagnosis, and lifetime prediction;
  • Structural batteries and supercapacitors;
  • Artificial intelligence-assisted battery management;
  • Recycling and second-life utilization;
  • The integration of batteries into renewable energy and power systems.

This Special Issue seeks to highlight both fundamental understanding and practical technological developments that can support the design, optimization, monitoring, and sustainable deployment of next-generation battery systems. Contributions that bridge materials innovation, electrochemical mechanisms, device engineering, modeling, diagnostics, and energy-system applications are particularly encouraged.

Dr. Zhibin Han
Prof. Dr. Alberto Broatch
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • advanced battery technologies
  • energy storage
  • electrode materials
  • electrolytes
  • battery management systems
  • state of battery estimation and prediction
  • artificial intelligence diagnostics and prognostics
  • renewable energy integration
  • battery recycling
  • sustainable energy systems

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Published Papers (1 paper)

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Research

26 pages, 1797 KB  
Article
A Fusion Mechanism-Coordinated Dynamic Modeling Approach for Smartphone Battery Depletion Prediction
by Wenqi Hu, Qijian Liu and Zhibin Han
Energies 2026, 19(15), 3669; https://doi.org/10.3390/en19153669 - 4 Aug 2026
Viewed by 269
Abstract
Accurate time-to-empty (TTE) estimation for smartphones remains challenging because battery electrochemical dynamics interact with highly variable device-level power demands. This study develops the Fusion Mechanism-Coordinated Dynamic Model (FM-CDM), a physics-informed theoretical framework that couples a second-order Thevenin equivalent-circuit model with component-level power consumption, [...] Read more.
Accurate time-to-empty (TTE) estimation for smartphones remains challenging because battery electrochemical dynamics interact with highly variable device-level power demands. This study develops the Fusion Mechanism-Coordinated Dynamic Model (FM-CDM), a physics-informed theoretical framework that couples a second-order Thevenin equivalent-circuit model with component-level power consumption, electro-thermal feedback, battery state of health, and stochastic workload generation. TTE is formulated as the first time at which the terminal voltage reaches a 3.2 V cutoff, thereby distinguishing the shutdown condition from SOC = 0%. The algebraic coupling among device power, discharge current, and terminal voltage is resolved using the physically admissible solution of the constant-power load equation. Separate battery and processor thermal states are introduced to represent temperature-dependent internal resistance, battery heat generation, heat dissipation, and processor thermal throttling. Four representative workload classes—Standby, Light, Medium, and Heavy—are considered, with 500 Monte Carlo realizations used for each class to propagate workload and parameter uncertainty. Global sensitivity is evaluated using the Morris elementary-effects method. The illustrative numerical analysis shows that increasing component activity shortens model-estimated runtime and that voltage-triggered shutdown can occur at a nonzero residual SOC, particularly when temperature-dependent resistance and load-induced voltage drop become significant. The framework provides a transparent and reproducible basis for investigating smartphone battery depletion, uncertainty propagation, and mechanism-level energy-management strategies under explicitly defined reference conditions. Full article
(This article belongs to the Special Issue Advanced Battery Technologies for Energy Storage)
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