Thermal Imaging of Electrochemical Power Systems: A Review

Temperature measurements of Li-ion batteries are important for assisting Battery Management Systems in controlling highly relevant states, such as State-of-Charge and State-of-Health. In addition, temperature measurements are essential to prevent dangerous situations and to maximize the performance and cycle life of batteries. However, due to thermal gradients, which might quickly develop during operation, fast and accurate temperature measurements can be rather challenging. For a proper selection of the temperature measurement method, aspects such as measurement range, accuracy, resolution, and costs of the method are important. After providing a brief overview of the working principle of Li-ion batteries, including the heat generation principles and possible consequences, this review gives a comprehensive overview of various temperature measurement methods that can be used for temperature indication of Li-ion batteries. At present, traditional temperature measurement methods, such as thermistors and thermocouples, are extensively used. Several recently introduced methods, such as impedance-based temperature indication and fiber Bragg-grating techniques, are under investigation in order to determine if those are suitable for largescale introduction in sophisticated battery-powered applications.

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“…A recent specific review on IR thermal imaging of electrochemical systems, including batteries and fuel cells, can be found in Ref. [320].…”

Section: Thermal Imaging and Liquid-crystal Thermographymentioning

confidence: 99%

A review on various temperature-indication methods for Li-ion batteries

et al. 2019

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“…Furthermore, water generation inhibits thermal imaging of the electrode surface, which is especially critical when observing the cathode. [21] In addition, differences in emissivity of the fuel cell materials interfere with the infrared imaging and remain a major challenge. [22] Infrared imaging might also change the performance of the fuel cell and the transparent window can act as a heat sink and, therefore, affect the PEMFC operation.…”

Section: In-situ Monitoringmentioning

confidence: 99%

Temperature Effects in Polymer Electrolyte Membrane Fuel Cells

et al. 2020

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The behavior of proton exchange membrane fuel cells (PEMFCs) strongly depends on the operational temperatures. In mobile applications, for instance in fuel cell electric vehicles, PEMFC stacks are often subjected to temperatures as low as −20 °C, especially during cold start periods, and to temperatures up to 120 °C during regular operation. Therefore, it is important to understand the impact of temperature on the performance and degradation of hydrogen fuel cells to ensure a stable system operation. To get a comprehensive understanding of the temperature effects in PEMFCs, this manuscript addresses and summarizes in‐ situ and ex‐ situ investigations of fuel cells operated at different temperatures. Initially, different measurement techniques for thermal monitoring are presented. Afterwards, the temperature effects related to the degradation and performance of main membrane electrode assembly components, namely gas diffusion layers, proton exchange membranes and catalyst layers, are analyzed.

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“…In [35] discussed an algorithm for face detection utilizing thermal images, however, this paper has no actual hardware set-up and simulation. Reference [36] application is for thermal imaging of electrochemical power systems. This paper describes the related techniques of a thermal image for electrochemical power systems with the primary focus on fuel cells and batteries.…”

Section: Absorption Of Materials Thermal Energy Transmission the Inmentioning

confidence: 99%

Color Enhancement Algorithm using the Integrated K-means Clustering and Inverted Otsu Method for Thermal Object Characterization

Park¹,

Kim²

2018

IJIES

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Thermal imaging plays an important role in numerous applications like in defense, security, military, and other industry that requires a non-contact temperature measurement, etc. This proposed algorithm improves the thermal image especially during the thresholding process in which the desired object is separated from the background and can easily be identified. The separate extracted images produced by K-means clustering and inverted Otsu methods were processed by Canny edge detection and color mapping to highlight the necessary characteristics of the sampled thermal images. This work is synthesized with Xilinx Zync 7000 ZED ZC702. The experimental results of this blended combination of K-means and inverted Otsu methods show significant distinguishable features in terms of edge and color. It outperforms the other color correction method in terms of processing time. Moreover, this implementation reduced resource utilization, and minimizes the misclassified pixel in different noise variance.

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Thermal Imaging of Electrochemical Power Systems: A Review

Cited by 38 publications

References 77 publications

A review on various temperature-indication methods for Li-ion batteries

A review on various temperature-indication methods for Li-ion batteries

Temperature Effects in Polymer Electrolyte Membrane Fuel Cells

Color Enhancement Algorithm using the Integrated K-means Clustering and Inverted Otsu Method for Thermal Object Characterization

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