Advances in Battery Electric Vehicles—2nd Edition

A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 386

Special Issue Editors


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Guest Editor
FEMTO-ST Institute, Universite Bourgogne Franche-Comte, CNRS, UTBM, 90000 Belfort, France
Interests: nonlinear control; modeling; energy management; renewable energies; batteries
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Business and Engineering, ESTA Belfort, 90000 Belfort, France
Interests: energy management; fuel cell; battery; hybrid system; passivity based control; optimal control; Jacobi Bellman control
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
FEMTO-ST Institute, Universite Bourgogne Franche-Comte, CNRS, UTBM, 90000 Belfort, France
Interests: hybrid electric vehicle; energy management; nonlinear control; design and sizing; multi-objective optimization; battery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

To accomplish the envisioned goal of a carbon-free society, the traditional automotive industry is aggressively transitioning to its electrified counterpart. The prominence of battery electric vehicles powered by clean and sustainable sources is therefore evident. However, a comprehensive and successful transition is possible only if several technical, infrastructural, societal, and economic challenges are properly addressed. In this context, this Special Issue aims to provide a genuine platform for researchers and practitioners from academia and industry associated with the emerging field of battery electric vehicles.

The Special Issue accepts a broad range of approaches for sharing scientific and research findings: surveys on modern technologies, recent research trends, original results, feasibility reports, etc. Authors can effectively share their simulation results, theoretical and conceptual design, ideas and innovations, experimental results, etc.

The potential topics include, but are not limited to, the following:

  • Material design for conventional and contemporary batteries;
  • Electrochemical processes and electrolytes for batteries;
  • Novel ideas and futuristic trends towards solid-state and sodium-ion batteries;
  • State of charge estimation using data-driven and classical approaches;
  • Diagnostic and prognostic modeling for health monitoring;
  • Battery management systems;
  • Modeling, implementation, and analysis of vehicular design;
  • Safety standards;
  • Marketing and economics;
  • Modern trends towards electric charging infrastructure;
  • Thermal management systems for batteries;
  • Standards and protocols;
  • Recycling of battery packs;
  • Design, analysis, control, and implementation of motor drives;
  • Dimensioning and design of battery packs.

Dr. Mohamed Becherif
Dr. Amel Benmouna
Dr. Mehroze Iqbal
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Batteries is an international peer-reviewed open access monthly 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 2700 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

  • futuristic trends
  • battery pack design
  • battery management
  • health monitoring
  • state of charge
  • thermal management
  • charging infrastructure
  • motor drives
  • vehicular system
  • electrical vehicle trends

Related Special Issue

Published Papers (1 paper)

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Research

17 pages, 5474 KiB  
Article
Robust Online Estimation of State of Health for Lithium-Ion Batteries Based on Capacities under Dynamical Operation Conditions
by **aoxuan Wu, Jian Chen, Hu Tang, Ke Xu, Mingding Shao and Yu Long
Batteries 2024, 10(7), 219; https://doi.org/10.3390/batteries10070219 - 22 Jun 2024
Viewed by 264
Abstract
Lithium-ion batteries, as the main energy storage component of electric vehicles (EVs), play a crucial role in ensuring the safe and reliable operation of the battery systems through monitoring their state of health (SOH). However, temperature variations and battery aging have significant impacts [...] Read more.
Lithium-ion batteries, as the main energy storage component of electric vehicles (EVs), play a crucial role in ensuring the safe and reliable operation of the battery systems through monitoring their state of health (SOH). However, temperature variations and battery aging have significant impacts on the internal parameters of lithium-ion batteries, and these changes directly correlate with the accuracy of battery SOH estimation. To address these issues, this paper proposes an estimation method for lithium-ion battery SOH that considers the impact of temperature. The method begins with reconstructing a second-order hybrid equivalent circuit model for lithium-ion batteries, through which an adaptive update rate for battery model parameters is designed. On this basis, a nonlinear observer for battery states is introduced by integrating filters to estimate SOH. The proposed method considers the impact of capacity in the design of the parameter adaptive update rate, enabling the capacity to be dynamically adjusted based on the actual state of the batteries. This reduces the cumulative error in the SOC observer and improves the modeling accuracy of battery models. Experimental results demonstrate that the method proposed in this paper exhibits exceptional performance in SOH estimation under different temperature conditions. The mean absolute error for SOH estimation does not exceed 0.5%, and the root mean square error does not exceed 0.2%. This method can significantly improve the estimation accuracy of SOH, providing a more efficient and accurate solution for battery management systems in EVs. Full article
(This article belongs to the Special Issue Advances in Battery Electric Vehicles—2nd Edition)
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