A new method of temperature measurement using thermochromic liquid crystals (extension of measurable range based on spectral intensity in the narrow-band wavelength)

Toriyama, Koji; Tada, Shigeru; Ichimiya, Koichi; Funatani, Shumpei; Tomita, Yumiko

doi:10.1016/j.ijheatmasstransfer.2015.09.002

Cited by 12 publications

(2 citation statements)

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“…As with IR thermal imaging, so-called Thermochromic Liquid Crystals (TLC) also make it possible to measure surface temperatures. TLC are organic molecules that change colour as a function of temperature in a predictable and repeatable manner [321]. The method of using TLC to measure temperature is called liquid-crystal thermography.…”

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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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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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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“…Design of calibration technique using mapping correlation vectors is reported in Xie and Ng 12 for temperature sensor used in thermal imaging technique. Measurement of temperature by determining the relationship between the spectrum intensity of the scattered wavelength of optical ray derived from halogen lamp is reported in Toriyama et al 13 The technique also discusses effect of band wavelength on the measurable range. Although a lot of measurement techniques are available for measurement of temperature using different sensors, each of those have certain drawbacks in terms of measurement range, characteristics of sensors, and so on.…”

Section: Introductionmentioning

confidence: 99%

Sensor Data Fusion Framework for Improvement of Temperature Sensor Characteristics

Venkata

Smet

2016

Measurement and Control

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This paper presents a multi-sensor data fusion model for measurement of temperature. The proposed paper puts forward an objective to develop a temperature measuring instrument (a) having improved performance characteristics like sensitivity and linearity (b) that produces accurate measurement even though a sensor is faulty. The technique is designed using the framework of multi-sensor data fusion consisting of sensor like thermistor, thermocouple, and resistance temperature detector. Output from all these sensors are converted to a common representation format using radiometric normalization. Pau's framework is used for implementing the task of fusion in the proposed paper. Implemented laboratory model is tested for functionality using extensive set of data. Output shows that the proposed technique was able to produce improved linear and sensitive output as compared to system with individual sensor. Root mean square of percentage error obtained for tests conducted is about 0.86%, which is a significant improvement.

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