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Batteries
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Towards a Smarter Battery Management System: 2nd Edition
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Towards a Smarter Battery Management System: 2nd Edition

A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Performance, Ageing, Reliability and Safety".

Deadline for manuscript submissions: 25 March 2025 | Viewed by 2681

Special Issue Editors

Prof. Dr. Chris Mi

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Interests: wireless power transfer; battery management systems; power electronics; hybrid electric vehicles; electric machines
Special Issues, Collections and Topics in MDPI journals
Dr. Zhi Cao

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Interests: battery management systems; energy management systems; electric machines; magnetic bearings
Dr. Naser Vosoughi Kurdkandi

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USA
Interests: DC–DC and DC–AC power electronics converters; battery-based energy storage systems; on-board and off-board battery chargers for EVs
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Lithium-ion batteries are widely used in electric vehicles (EVs) and the energy storage industry due to their high energy density and long cycle life. As their price decreases, lithium-ion batteries will continue to be used in the future. Battery management systems (BMSs) are the key component to ensure the stable and reliable operation of battery systems. They monitor battery operation data; estimate the battery state of charge (SOC) and state of health (SOH); conduct battery balance; manage thermal systems; and perform fault diagnosis. BMS-related hardware and algorithms have developed rapidly in recent years. Therefore, this Special Issue aims to demonstrate the latest BMS-related technologies, such as SOC and SOH estimation algorithms, balance systems, wireless BMSs, and second-life battery applications.

Potential topics include, but are not limited to, the following:

  • Battery management system hardware and algorithms;
  • Battery modeling;
  • Battery parameter identification;
  • Battery state of charge (SOC) estimation;
  • Battery state of health (SOH) estimation;
  • Battery fault diagnostics;
  • Battery balance or equalization topology and method;
  • Battery thermal management;
  • Battery second-life application;
  • Wireless BMSs.

Prof. Dr. Chris Mi
Dr. Zhi Cao
Dr. Naser Vosoughi Kurdkandi
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 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

  • lithium-ion battery
  • battery management system
  • battery modeling
  • battery SOC estimation
  • battery SOH estimation
  • battery parameter identification
  • battery balance
  • battery equalization
  • battery thermal management
  • battery thermal runaway
  • second-life battery
  • battery recycling
  • wireless BMSs

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Related Special Issue

Published Papers (2 papers)

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Research

16 pages, 5829 KiB  
Article
Modelling of a Cylindrical Battery Mechanical Behavior under Compression Load
by Adrian Daniel Muresanu and Mircea Cristian Dudescu
Batteries 2024, 10(10), 353; https://doi.org/10.3390/batteries10100353 - 9 Oct 2024
Viewed by 984
Abstract
The extensive utilization of lithium-ion (Li-ion) batteries within the automotive industry necessitates rigorous measures to ensure their mechanical robustness, crucial for averting thermal runaway incidents and ensuring vehicle safety. This paper introduces an innovative methodology aimed at homogenizing the mechanical response of Li-ion [...] Read more.
The extensive utilization of lithium-ion (Li-ion) batteries within the automotive industry necessitates rigorous measures to ensure their mechanical robustness, crucial for averting thermal runaway incidents and ensuring vehicle safety. This paper introduces an innovative methodology aimed at homogenizing the mechanical response of Li-ion batteries under compression load, using Finite Element Method (FEM) techniques to improve computational efficiency. A novel approach is proposed, involving the selective application of compression loads solely to the Jelly Roll and its casing, achieved by cutting the battery heads. Through this method, distinct mechanical behaviors are identified within the battery force displacement curve: an elastic region, a zone characterized by plastic deformation, and a segment exhibiting densification. By delineating these regions, our study facilitates a comprehensive understanding of the battery’s mechanical response under compression. Two battery models were employed in this study: one representing the battery as a solid volume, and another featuring the jelly roll as a solid volume enclosed by a shell representing the casing. The material utilized was LS Dyna MAT24, chosen for its piecewise characteristics’ definition, and its validation was primarily conducted through the curve fitting method applied to the force–displacement curve, taking in account the three regions of the compression force behavior. This approach not only optimizes computational resources but also offers insights crucial for enhancing the mechanical stability of Li-ion batteries in automotive applications. Full article
(This article belongs to the Special Issue Towards a Smarter Battery Management System: 2nd Edition)
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17 pages, 5949 KiB  
Article
Second-Life Assessment of Commercial LiFePO4 Batteries Retired from EVs
by Zhi Cao, Wei Gao, Yuhong Fu, Christopher Turchiano, Naser Vosoughi Kurdkandi, Jing Gu and Chris Mi
Batteries 2024, 10(9), 306; https://doi.org/10.3390/batteries10090306 - 30 Aug 2024
Viewed by 1190
Abstract
LiFePO4 (LFP) batteries are well known for their long cycle life. However, there are many reports of significant capacity degradation in LFP battery packs after only three to five years of operation. This study assesses the second-life potential of commercial LFP batteries [...] Read more.
LiFePO4 (LFP) batteries are well known for their long cycle life. However, there are many reports of significant capacity degradation in LFP battery packs after only three to five years of operation. This study assesses the second-life potential of commercial LFP batteries retired from electric vehicles (EVs) by evaluating their aging characteristics at the cell and module levels. Four LFP cells and four modules were subjected to aging tests under various conditions. The results indicate that LFP cells exhibit long life cycles with gradual capacity degradation and a minimal internal resistance increase. Module-level analysis reveals significant balance issues impacting capacity recovery. Incremental capacity analysis (ICA) and post-mortem analysis identify the loss of active materials and lithium inventory as key aging mechanisms. This study provides the optimal working conditions of second-life LFP batteries and suggests that, with proper balancing systems, LFP batteries can achieve extended second-life use in stationary energy storage applications, emphasizing the importance of effective balance management for sustainable battery utilization. Full article
(This article belongs to the Special Issue Towards a Smarter Battery Management System: 2nd Edition)
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