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Advanced Sensing Technology for Detection of Battery States

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 1226

Special Issue Editor

Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China
Interests: advanced energy storage materials and micro-energy storage devices, mainly for multivalent metal ion batteries, especially in-depth research on the electrode materials and energy storage mechanisms of aqueous zinc-ion batteries; sensitive materials and devices for sensors

Special Issue Information

Dear Colleagues,

Electrochemical energy storage technologies, represented by lithium-ion batteries, are crucial support technologies and key equipment for building new power systems. However, safety incidents frequently occur in lithium-ion battery energy storage systems, mainly due to thermal runaway triggered by safety failures during battery operation. The further spread of thermal runaway can lead to catastrophic consequences such as fires or explosions. Therefore, it is essential to provide timely and accurate proactive safety warnings before energy storage battery failures to prevent thermal runaway and ensure the safe operation of energy storage battery systems.

Using sensors to study the energy storage mechanisms of battery materials is a crucial approach for the real-time monitoring of battery operation and for gaining deeper insights into the electrochemical behavior of batteries under various conditions.

Potential topics include but are not limited to the following:

  • The design and fabrication of sensors;
  • Electrochemical sensors;
  • Stress and strain sensors;
  • Temperature sensors;
  • Gas sensors;
  • Optical sensors;
  • Integration testing of sensor systems in batteries.

Dr. Tongye Wei
Guest Editor

Manuscript Submission Information

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Keywords

  • battery
  • sensors
  • energy storage solutions

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Published Papers (1 paper)

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Research

18 pages, 2388 KiB  
Article
Experimental Investigations on the Repeatability of the Fire-Resistance Testing of Electric Vehicle Post-Crash Safety Procedures
by Daniel Darnikowski and Magdalena Mieloszyk
Sensors 2025, 25(3), 688; https://doi.org/10.3390/s25030688 - 24 Jan 2025
Viewed by 918
Abstract
The widespread adoption of electric vehicles (EVs) has elevated the importance of rigorous safety standards, particularly for fire resistance in post-crash scenarios. Existing testing protocols, such as Regulation No. 100, utilize petrol pool fires to simulate real-world fire hazards but lack comprehensive analysis [...] Read more.
The widespread adoption of electric vehicles (EVs) has elevated the importance of rigorous safety standards, particularly for fire resistance in post-crash scenarios. Existing testing protocols, such as Regulation No. 100, utilize petrol pool fires to simulate real-world fire hazards but lack comprehensive analysis regarding their repeatability and reliability. This study addresses this critical gap by evaluating the variability and consistency of fire-resistance tests performed on multiple battery energy storage systems (BESSs) under standardized conditions. A custom-built measurement system incorporating thermocouples, anemometers, and hygrometers provided high-resolution data on flame dynamics, ambient conditions, and pool fire efficiency. Statistical evaluations following ISO 5725 series guidelines revealed substantial inconsistencies, including unstable exposure temperatures and sensitivity to local turbulence. These findings call into question the robustness of current testing methods, and we propose an alternative approach employing LPG burners for improved precision and repeatability. By identifying significant flaws in existing standards and offering scientifically grounded enhancements, this work contributes a novel perspective to the field of EV safety, advancing global fire-resistance testing protocols. Full article
(This article belongs to the Special Issue Advanced Sensing Technology for Detection of Battery States)
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