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Batteries
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Battery Management in Electric Vehicles: Current Status and Future Trends:...
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Battery Management in Electric Vehicles: Current Status and Future Trends: 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: closed (15 April 2024) | Viewed by 1864

Special Issue Editor

Dr. Prodip K. Das

E-Mail Website
Guest Editor
School of Engineering, University of Edinburgh, Edinburgh EH9 3FB, UK
Interests: hydrogen energy systems; fuel cells; Li-ion batteries; electric vehicles; battery fire and safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Li-ion batteries (LiBs) are an essential component of zero-carbon energy transition around the world and for reaching the COP26’s goal of securing global net-zero emissions by the middle of the century. However, their rapid growth is accompanied by significant drawbacks. It is expected that their continual demand for use in electric vehicles (EVs) will lead to global environmental and supply chain concerns, as the critical materials used in LiBs (e.g., cobalt, lithium, nickel, graphite, manganese) are finite and mined in only a few regions around the world. This means we will eventually have to deal with significant battery waste. However, with appropriate and improved battery management in EVs, we can enhance the performance of these batteries, prolong their life in Evs, enable their use in secondary applications, and promote the recycling and re-use of EV batteries to mitigate global environmental and supply chain concerns. This Special Issue of Batteries aims to explore recent advances and future trends in battery management in Evs that will enable us to reach global net-zero emissions by the middle of the century.

Potential topics include but are not limited to:

  • Innovative battery management system (BMS);
  • Artificial intelligence in battery management;
  • Enhanced algorithms for battery control and monitoring of the state of charge (SOC), state of health (SOH), state of power (SOP), etc;
  • Battery diagnostic and prognostic functions;
  • Thermal management for batteries;
  • Novel sensing methods to enhance battery safety and BMS’s operation;
  • Battery aging in EVs and its impact on secondary applications;
  • Non-destructive testing and diagnostics for thermal runaway and battery management;
  • New materials, advanced manufacturing methods, and novel cell and pack design for promoting the recycling and re-use of batteries;
  • Digital twins of batteries for performance optimization;
  • Multi-objective optimization strategies for batteries.

Dr. Prodip K. Das
Guest Editor

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

  • artificial intelligence
  • battery management system
  • state of charge
  • state of health
  • state of power
  • thermal management
  • novel sensing method
  • battery aging
  • cell and pack design
  • recycling and re-use
  • digital twins
  • optimization

Related Special Issue

Published Papers (1 paper)

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Research

16 pages, 8228 KiB  
Article
Thermal Runaway Characteristics and Gas Analysis of LiNi0.9Co0.05Mn0.05O2 Batteries
by Chao Shi, Hewu Wang, Hengjie Shen, Juan Wang, Cheng Li, Yalun Li, Wenqiang Xu and Minghai Li
Batteries 2024, 10(3), 84; https://doi.org/10.3390/batteries10030084 - 01 Mar 2024
Viewed by 1354
Abstract
Layered ternary materials with high nickel content are regarded as the most promising cathode materials for high-energy-density lithium-ion batteries, owing to their advantages of high capacity, low cost, and relatively good safety. However, as the nickel content increases in ternary layered materials, their [...] Read more.
Layered ternary materials with high nickel content are regarded as the most promising cathode materials for high-energy-density lithium-ion batteries, owing to their advantages of high capacity, low cost, and relatively good safety. However, as the nickel content increases in ternary layered materials, their thermal stability noticeably decreases. It is of paramount importance to explore the characteristics of thermal runaway for lithium-ion batteries. In this study, two high-nickel LiNi0.9Co0.05Mn0.05O2 batteries were laterally heated to thermal runaway in a sealed chamber filled with nitrogen to investigate the thermal characteristics and gas compositions. The temperature of the battery tabs was measured, revealing that both batteries were in a critical state of thermal runaway near 120 degrees Celsius. A quantitative analysis method was employed during the eruption process, dividing it into three stages: ultra-fast, fast, and slow; the corresponding durations for the two batteries were 3, 2, 27 s and 3, 3, 26 s. By comparing the changes in chamber pressure, it was observed that both batteries exhibited a similar continuous venting duration of 32 s. However, the pressure fluctuation ranges of the two samples were 99.5 and 68.2 kPa·m·s−1. Compared to the other sample, the 211 Ah sample exhibited larger chamber pressure fluctuations and reached higher peak pressures, indicating a higher risk of explosion. In the experimental phenomenon captured by a high-speed camera, it took only 1 s for the sample to transition from the opening of the safety valve to filling the experimental chamber with smoke. The battery with higher energy density exhibited more intense eruption during thermal runaway, resulting in more severe mass loss. The mass loss of the two samples is 73% and 64.87%. The electrolyte also reacted more completely, resulting in a reduced number of measured exhaust components. The main components of gaseous ejections are CO, CO2, H2, C2H4, and CH4. For the 211 Ah battery, the vented gases were mainly composed of CO (41.3%), CO2 (24.8%), H2 (21%), C2H4 (7.4%) and CH4 (3.9%), while those for the other 256 Ah battery were mainly CO (30.6%), CO2 (28.5%), H2 (21.7%), C2H4 (12.4%) and CH4 (5.8%). Comparatively, the higher-capacity battery produced more gases. The gas volumes, converted to standard conditions (0 °C, 101 kPa) and normalized, resulted in 1.985 L/Ah and 2.182 L/Ah, respectively. The results provide valuable guidance for the protection of large-capacity, high-energy-density battery systems. The quantitative analysis of the eruption process has provided assistance to fire alarm systems and firefighting strategies. Full article
(This article belongs to the Special Issue Battery Management in Electric Vehicles: Current Status and Future Trends: 2nd Edition)
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