The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform
Michael Fowler - One of the best experts on this subject based on the ideXlab platform.
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thermal modeling and validation of Temperature distributions in a prismatic lithium ion battery at different discharge rates and varying boundary conditions
Applied Thermal Engineering, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the thermal modeling and validation of Temperature rise in a prismatic lithium-ion battery with LiFePO 4 (also known as LFP) cathode material. The developed model represents the main thermal phenomena in the cell in terms of Temperature distribution. A neural network approach is used for the model development. The proposed model is validated with the experimental data collected in terms of Temperature and voltage profiles. In addition to this, the Surface Temperature distributions on the principal Surface of the battery are studied under various discharge/charge profiles with varying boundary conditions (BCs) and Average Surface Temperature distributions. For this, the different discharge rates of 2C and 4C and different boundary conditions (cooling/operating/bath Temperature of 5 °C, 15 °C, 25 °C, and 35 °C) are selected. The results of this study show that the increased discharge rates result in increased Surface Temperature distributions on the principal Surface of the battery. Furthermore, it is observed that changing the operating or boundary conditions considerably affect the Surface Temperature distributions.
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experimental and theoretical investigation of Temperature distributions in a prismatic lithium ion battery
International Journal of Thermal Sciences, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the Surface Temperature distributions on the principal Surface of the battery at 1C and 3C discharge rates and different boundary conditions (cooling/operating/bath Temperature) of 5 °C, 15 °C, 25 °C, and 35 °C. The air cooling and water cooling system is designed and developed based on a prismatic Lithium-ion that has 20 Ah capacity. In addition, the battery thermal model is developed which represents the main thermal phenomena in the battery cell in terms of Temperature distribution. The developed model is validated with the experimental data collected including Temperature and discharge voltage profile. The results show that the Average Surface Temperature distribution is higher at 3C discharge rate and 35 °C boundary conditions (BCs) and the Average Surface Temperature distribution is lower 1C discharge rate and 5 °C BCs. Furthermore, it is observed that increased discharge rates and increased operating conditions or BCs result in increased Surface Temperature distributions of the battery.
Satyam Panchal - One of the best experts on this subject based on the ideXlab platform.
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thermal modeling and validation of Temperature distributions in a prismatic lithium ion battery at different discharge rates and varying boundary conditions
Applied Thermal Engineering, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the thermal modeling and validation of Temperature rise in a prismatic lithium-ion battery with LiFePO 4 (also known as LFP) cathode material. The developed model represents the main thermal phenomena in the cell in terms of Temperature distribution. A neural network approach is used for the model development. The proposed model is validated with the experimental data collected in terms of Temperature and voltage profiles. In addition to this, the Surface Temperature distributions on the principal Surface of the battery are studied under various discharge/charge profiles with varying boundary conditions (BCs) and Average Surface Temperature distributions. For this, the different discharge rates of 2C and 4C and different boundary conditions (cooling/operating/bath Temperature of 5 °C, 15 °C, 25 °C, and 35 °C) are selected. The results of this study show that the increased discharge rates result in increased Surface Temperature distributions on the principal Surface of the battery. Furthermore, it is observed that changing the operating or boundary conditions considerably affect the Surface Temperature distributions.
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experimental and theoretical investigation of Temperature distributions in a prismatic lithium ion battery
International Journal of Thermal Sciences, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the Surface Temperature distributions on the principal Surface of the battery at 1C and 3C discharge rates and different boundary conditions (cooling/operating/bath Temperature) of 5 °C, 15 °C, 25 °C, and 35 °C. The air cooling and water cooling system is designed and developed based on a prismatic Lithium-ion that has 20 Ah capacity. In addition, the battery thermal model is developed which represents the main thermal phenomena in the battery cell in terms of Temperature distribution. The developed model is validated with the experimental data collected including Temperature and discharge voltage profile. The results show that the Average Surface Temperature distribution is higher at 3C discharge rate and 35 °C boundary conditions (BCs) and the Average Surface Temperature distribution is lower 1C discharge rate and 5 °C BCs. Furthermore, it is observed that increased discharge rates and increased operating conditions or BCs result in increased Surface Temperature distributions of the battery.
Seiji Kuroda - One of the best experts on this subject based on the ideXlab platform.
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Effect of hollow spherical powder size distribution on porosity and segmentation cracks in thermal barrier coatings
Journal of the American Ceramic Society, 2006Co-Authors: Hongbo Guo, Hideyuki Murakami, Seiji KurodaAbstract:The effect of characteristics of hollow spherical (HOSP) powders on porosity and development of segmentation cracks in plasma-sprayed thick thermal barrier coatings (TBCs) was investigated. Three powders with particle size ranges of 20-45, 53-75, and 90-120 mu m were selected from a commercial HOSP powder feedstock for spraying the TBCs. The 20-45 mu m powder has a higher deposition efficiency and a greater capability of producing segmented coatings than the other larger powders. Diagnostics of in-flight particles show that the Average Surface Temperature and velocity of the particles sprayed from the fine powder is higher by 250 degrees C and 50 m/s compared with those sprayed from the 90 to 120 mu m powder, respectively, due to its greater ratio of Surface area to mass. The lower porosity of the coating sprayed from the fine powder is mainly attributed to the decreased volume of intersplat gaps and voids
Martin Agelinchaab - One of the best experts on this subject based on the ideXlab platform.
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thermal modeling and validation of Temperature distributions in a prismatic lithium ion battery at different discharge rates and varying boundary conditions
Applied Thermal Engineering, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the thermal modeling and validation of Temperature rise in a prismatic lithium-ion battery with LiFePO 4 (also known as LFP) cathode material. The developed model represents the main thermal phenomena in the cell in terms of Temperature distribution. A neural network approach is used for the model development. The proposed model is validated with the experimental data collected in terms of Temperature and voltage profiles. In addition to this, the Surface Temperature distributions on the principal Surface of the battery are studied under various discharge/charge profiles with varying boundary conditions (BCs) and Average Surface Temperature distributions. For this, the different discharge rates of 2C and 4C and different boundary conditions (cooling/operating/bath Temperature of 5 °C, 15 °C, 25 °C, and 35 °C) are selected. The results of this study show that the increased discharge rates result in increased Surface Temperature distributions on the principal Surface of the battery. Furthermore, it is observed that changing the operating or boundary conditions considerably affect the Surface Temperature distributions.
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experimental and theoretical investigation of Temperature distributions in a prismatic lithium ion battery
International Journal of Thermal Sciences, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the Surface Temperature distributions on the principal Surface of the battery at 1C and 3C discharge rates and different boundary conditions (cooling/operating/bath Temperature) of 5 °C, 15 °C, 25 °C, and 35 °C. The air cooling and water cooling system is designed and developed based on a prismatic Lithium-ion that has 20 Ah capacity. In addition, the battery thermal model is developed which represents the main thermal phenomena in the battery cell in terms of Temperature distribution. The developed model is validated with the experimental data collected including Temperature and discharge voltage profile. The results show that the Average Surface Temperature distribution is higher at 3C discharge rate and 35 °C boundary conditions (BCs) and the Average Surface Temperature distribution is lower 1C discharge rate and 5 °C BCs. Furthermore, it is observed that increased discharge rates and increased operating conditions or BCs result in increased Surface Temperature distributions of the battery.
R Fraser - One of the best experts on this subject based on the ideXlab platform.
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thermal modeling and validation of Temperature distributions in a prismatic lithium ion battery at different discharge rates and varying boundary conditions
Applied Thermal Engineering, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the thermal modeling and validation of Temperature rise in a prismatic lithium-ion battery with LiFePO 4 (also known as LFP) cathode material. The developed model represents the main thermal phenomena in the cell in terms of Temperature distribution. A neural network approach is used for the model development. The proposed model is validated with the experimental data collected in terms of Temperature and voltage profiles. In addition to this, the Surface Temperature distributions on the principal Surface of the battery are studied under various discharge/charge profiles with varying boundary conditions (BCs) and Average Surface Temperature distributions. For this, the different discharge rates of 2C and 4C and different boundary conditions (cooling/operating/bath Temperature of 5 °C, 15 °C, 25 °C, and 35 °C) are selected. The results of this study show that the increased discharge rates result in increased Surface Temperature distributions on the principal Surface of the battery. Furthermore, it is observed that changing the operating or boundary conditions considerably affect the Surface Temperature distributions.
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experimental and theoretical investigation of Temperature distributions in a prismatic lithium ion battery
International Journal of Thermal Sciences, 2016Co-Authors: Satyam Panchal, Ibrahim Dincer, Martin Agelinchaab, R Fraser, Michael FowlerAbstract:Abstract This paper deals with the Surface Temperature distributions on the principal Surface of the battery at 1C and 3C discharge rates and different boundary conditions (cooling/operating/bath Temperature) of 5 °C, 15 °C, 25 °C, and 35 °C. The air cooling and water cooling system is designed and developed based on a prismatic Lithium-ion that has 20 Ah capacity. In addition, the battery thermal model is developed which represents the main thermal phenomena in the battery cell in terms of Temperature distribution. The developed model is validated with the experimental data collected including Temperature and discharge voltage profile. The results show that the Average Surface Temperature distribution is higher at 3C discharge rate and 35 °C boundary conditions (BCs) and the Average Surface Temperature distribution is lower 1C discharge rate and 5 °C BCs. Furthermore, it is observed that increased discharge rates and increased operating conditions or BCs result in increased Surface Temperature distributions of the battery.