Comparative study of surface temperature of lithium-ion polymer cells at different discharging rates by infrared thermography and thermocouple

A reliable battery thermal management system (BTMS) not only can effectively decrease the maximum temperature but also maintain the temperature uniformity of the lithium-ion (Li-ion) battery after grouping. Nevertheless, considering the deficiency of a single heat dissipation method, there exist challenges in efficient heat dissipation structure design, especially at high discharge rates. In this work, a composite heat dissipation structure of battery module with phase change material (PCM)-aluminum plate-fin is proposed. Meanwhile, the transient effects of different discharge rates, melting points, and thickness of PCM on the thermal characteristics of the module are analyzed. Results show that the maximum temperature of the module with PCM-aluminum plate-fin can be reduced by 25.8°C, 11.0°C, and 10.2°C respectively at 4 C discharge rate compared with natural convection, aluminum plate-fin, and paraffin PCM, and the maximum experimental error among them is less than 5%. During 2-5 C discharging, the melting rate of phase change increases first and then decreases, which leads to the trend of the maximum temperature and maximum temperature difference of the module rising with bending twice. When the ambient temperature is 25°C, the paraffin PCM with a melting point of 28°C is implemented for battery cooling because of its more rapid melting and heat absorption. The increase in PCM thickness is beneficial to the heat dissipation of the module. The optimal PCM thickness of 3 mm can realize temperature uniformity control within 2.5°C.

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“…According to the Bernardi heat generation rate model, assuming a uniform and stable heat source inside the battery, q can be determined as 41 :…”

Section: Battery Thermal Modelmentioning

confidence: 99%

Thermal characteristics of Li‐ion battery based on phase change material‐aluminum plate‐fin composite heat dissipation

Liu

Gan

Chen

et al. 2022

Energy Science & Engineering

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“…Thermal imaging can detect many electrical faults, namely: broken bars, shorted coils, insulation faults, fan faults, overvoltages, ventilation faults. Analysis of thermal images can detect the type and location of fault [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The analysis focused on surface temperature distribution for different discharging rates of lithium-ion polymer cells. The analysis proved that infrared thermography analysis has higher accuracy than analysis based on thermocouples [ 23 ]. A short review of fault diagnosis methods was presented in [ 24 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Głowacz

2021

Sensors

141

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The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR image processing. An innovative method called BCAoMID-F (Binarized Common Areas of Maximum Image Differences—Fusion) is proposed in this paper. This method is used to extract features of thermal images of three angle grinders. The computed features are 1-element or 256-element vectors. Feature vectors are the sum of pixels of matrix V or PCA of matrix V or histogram of matrix V. Three different cases of thermal images were considered: healthy angle grinder, angle grinder with 1 blocked air inlet, angle grinder with 2 blocked air inlets. The classification of feature vectors was carried out using two classifiers: Support Vector Machine and Nearest Neighbor. Total recognition efficiency for 3 classes (TRAG) was in the range of 98.5–100%. The presented technique is efficient for fault diagnosis of electrical devices and electric power tools.

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“…The results are presented based on surface temperature distribution, maximum surface temperature, temperature rise evolution, and experimental uncertainty. It concluded that thermal imaging is an effective method for battery thermal management than any other method [11]. Furthermore, the thermal runaway behavior of the LiFePO4 battery during penetration was studied.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of surface temperature distribution under different charging and discharging modes of the lithium-ion phosphate battery using Thermal Imaging

Pathmanaban¹,

B.K²,

Anandan³

et al. 2022

YMER

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This study aims to determine the thermal behavior of lithium-ion phosphate (LiFePO4) 20Ah battery by Thermal imaging. This study focuses on day/night charging and discharging to the battery's temperature distribution. The thermal gradient of battery, LiFePO4 powered bike at different speeds 30kmph, 40kmph, 50kmph both load and without load condition. The spatial distribution of LiFePO4 cells was not stable during the discharging process. No significant temperature rise was recorded at the end of the discharge. During the range test at 30kmph, 40kmph, and 50kmph, the maximum surface temperature reached 47.90℃, 44.20℃, and 46.70 ℃, respectively. The battery's front view was most of the highest surface temperature region. The result shows thermal imaging is an effective tool to predict the temperature behavior of batteries and provide a better thermal management system in battery development

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Comparative study of surface temperature of lithium-ion polymer cells at different discharging rates by infrared thermography and thermocouple

Cited by 27 publications

References 27 publications

Thermal characteristics of Li‐ion battery based on phase change material‐aluminum plate‐fin composite heat dissipation

Thermal characteristics of Li‐ion battery based on phase change material‐aluminum plate‐fin composite heat dissipation

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

An evaluation of surface temperature distribution under different charging and discharging modes of the lithium-ion phosphate battery using Thermal Imaging

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