Dual-separated cooling channel performance evaluation for high-power led Pcb in automotive headlight

Sevilgen, Gökhan; Kılıç, Muhsin; Aktaş, Mehmet

doi:10.1016/j.csite.2021.100985

Cited by 16 publications

(8 citation statements)

References 23 publications

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“…The combined three-dimensional model of the solid and fluid volumes in the cold-plate is given in Figure 6. The finite volume method is employed to perform the computation to solve the flow field and to obtain conjugate heat transfer in both solid and fluid regions [54]. Numerical computations to solve governing equations as conservation of mass, momentum, and energy equations were realized by using ANSYS Fluent (Release 19.2).…”

Section: Cfd Modelmentioning

confidence: 99%

Comparative Evaluation and Multi-Objective Optimization of Cold Plate Designed for the Lithium-Ion Battery Pack of an Electrical Pickup by Using Taguchi–Grey Relational Analysis

Kılıç,

Gamsız,

Alınca

2023

Sustainability

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It is aimed to minimize carbon emissions and the spread of electric vehicles is supported for a more sustainable future. To increase the safety and life of these vehicles, cooling systems are added and developed to their energy storage systems. The aim of this study is to design and optimize the cooling plate for the lithium-ion battery pack used in a lightweight commercial electrical vehicle. Multi-objective optimization using Taguchi–grey relational analysis was performed by considering maximum temperature, the standard deviation of temperature, and pressure drop for the design of the cold plate. Channel number, channel height, and mass flow rate values were determined as parameters to be examined, and three different levels were selected for each parameter. Analysis was performed using water and 25% and 50% ethylene glycol–water solutions, which can work under sub-zero environmental conditions, employed as cooling fluid. It is shown that increasing the ethylene glycol ratio in the coolant allows it to work in colder environmental conditions, it is relatively worsening thermal performances in the cold plate applications. A new empirical correlation is proposed to predict the Nusselt number for the three coolants under all geometric and operating conditions considered in this study. Statistical analysis shows that the number of channels is the most effective parameter for the relatively low and homogenous temperature distribution on the cold plate surface. A sensitivity analysis was performed for Reynolds number ranges from 2500 to 15,000 using the optimum configurations of the three coolant fluids. It is shown that the same cooling effects could be obtained by using 1.56 times and 2.66 times more mass flow rates for 25% and 50% ethylene glycol–water solutions, respectively, compared to the water. However, rising mass flow rates result in a significant increase in the required pumping power.

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Section: Cfd Modelmentioning

confidence: 99%

Comparative Evaluation and Multi-Objective Optimization of Cold Plate Designed for the Lithium-Ion Battery Pack of an Electrical Pickup by Using Taguchi–Grey Relational Analysis

Kılıç,

Gamsız,

Alınca

2023

Sustainability

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“…Temperature data was measured with thermal camera. To find out the experimental error, an uncertainty analysis was performed according to the method proposed by Moffat [11]. The highest uncertainty in experimental data was calculated to be within ± 2%.…”

Section: Experimental Set-upmentioning

confidence: 99%

Thermal performance investigation of position function circuit board used in automotive exterior rear lighting

SÖNMEZAY

Aktaş

2022

International Journal of Automotive Engineering and Technologies

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In this research, both numerically and experimentally, the thermal efficiency of a Printed Circuit Board (PCB) with two Light Emitting Diode (LED) chips was examined. The two LED lighting systems, which are single-cell LEDs, including PCB and copper plates, were manufactured, and tested under laboratory conditions to achieve this goal. The three-dimensional Computational Fluid Dynamics (CFD) model with natural convection effects prepared using the FloEFD software package to predict PCB surface temperature distributions. The goal was to perform comprehensive circuit board simulation and validate the numerical model built in this study using the experimental data during the studies. From the results, we can easily claim that higher temperature gradients are calculated and predicted near the LED chip because of heat generation. Data paths have played an essential role in the LED circuit board's temperature distribution. High-temperature variations are observed at short distances around the LED when the experimental and simulation results are compared. Temperature changes are minimized as they travel away from the LED chip. It is found that the error rate is below 5 percent overall between the experimental and simulation results. The numerical results were in proper alignment with numerical data obtained from the three-dimensional (3D) CFD model. Given thermal efficiency and using such models, this model can design and analyze Automotive Lighting Systems.

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“…Laminar flow is encountered in cooling systems of different applications such as fuel cells, power electronics, microprocessors, and battery modules. These cooling systems are required to remove heat from these elements with low parasitic power 12‐14 . Studies on different cooling strategies, different cooling plate designs, and design parameters of channels in cooling plates are presented by researchers.…”

Section: Introductionmentioning

confidence: 99%

“…These cooling systems are required to remove heat from these elements with low parasitic power. [12][13][14] Studies on different cooling strategies, different cooling plate designs, and design parameters of channels in cooling plates are presented by researchers. Sheng et al 15 investigated the effects of the design parameters of cooling plates with serpentine channels and found that the increasing channel width decreased the power consumption of the pump.…”

Section: Introductionmentioning

confidence: 99%

Prediction and optimization of the design decisions of liquid cooling systems of battery modules using artificial neural networks

Bulut

Albak

Sevilgen

et al. 2022

Intl J of Energy Research

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Summary Liquid cooling systems are effective for keeping the battery modules in the safe temperature range. This study focuses on decreasing the power consumption of the pump without compromising the cooling performance. Artificial neural network (ANN) models are created to predict the effects of the height and width of the cooling channel and the mass flow rate on the maximum temperature, convective heat transfer coefficient, and pressure drop. The ANN models are used as surrogate models for the design and optimization of the liquid cooling battery system. Particle swarm optimization (PSO) and genetic algorithm (GA), which are commonly utilized optimization methods in many areas, and chaos game optimization (CGO) and coot optimization algorithm (COOT) methods, which are recently presented methods, are adopted to minimize the power consumption of the pump. The results are compared in terms of computational performance and best, worst, average, and SD values. Despite all of the optimization methods used giving similar results, the CGO method comes forward due to fast converging, SD, and finding the minimum power consumption of the pump among other optimization methods. A 22.4% decrease in the power consumption of the pump is achieved with the use of the ANN‐based CGO method while conserving the cooling performance. When comparing the ANN predicted and CFD results, the relative errors are less than 1%.

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Dual-separated cooling channel performance evaluation for high-power led Pcb in automotive headlight

Cited by 16 publications

References 23 publications

Comparative Evaluation and Multi-Objective Optimization of Cold Plate Designed for the Lithium-Ion Battery Pack of an Electrical Pickup by Using Taguchi–Grey Relational Analysis

Comparative Evaluation and Multi-Objective Optimization of Cold Plate Designed for the Lithium-Ion Battery Pack of an Electrical Pickup by Using Taguchi–Grey Relational Analysis

Thermal performance investigation of position function circuit board used in automotive exterior rear lighting

Prediction and optimization of the design decisions of liquid cooling systems of battery modules using artificial neural networks

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