Enhancing the Heat Dissipation Efficiency of Computing Units Within Autonomous Driving Systems and Electric Vehicles

Enhancing the Heat Dissipation Efficiency of Computing Units Within Autonomous Driving Systems and Electric Vehicles

Authors

  • Yaonian Zhong Department of Mechanical Engineering Institute of Mechatronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

DOI:

https://doi.org/10.53469/wjimt.2024.07(05).11

Keywords:

Autonomous driving systems, Electric vehicles, Computing units, Heat dissipation

Abstract

With the rapid development of autonomous driving technology and electric vehicles, the demand for computing units in vehicles has surged, particularly for high-density computing related to artificial intelligence, sensor fusion, and real-time data processing. This increase has posed significant heat dissipation challenges for automotive electronic systems. Effective heat dissipation is essential for ensuring system stability, safety, and extending the lifespan of these systems. This study explores the thermal design of computing units in current autonomous driving systems and electric vehicles. The electronic components within the computing units generate significant heat, but due to environmental constraints, fans can not be used for internal cooling, as their operation can draw in dust from the environment, contaminating the internal electronic components. Therefore, computing units are often designed with a sealed structure, utilizing the thermal conductivity of metal casings to quickly dissipate internal heat sources. The results of this study show that comparing embedded cooling modules within the casing to commonly used thermal pads reveals that changing the materials of the cooling module can significantly enhance cooling performance, noticeably reducing the temperature of the internal electronic components and minimizing the risk of overheating. Additionally, this can improve the overall reliability and performance of the system, providing new ideas and application prospects for future automotive thermal design.

References

G.J. Tzou, C.C. Tsao, Y.C. Lin, Improvement in the thermal conductivity of aluminum substrate for the desktop PC Central Processing Unit (CPU) by the Taguchi method, J. Experimental Thermal and Fluid Science, 2010, 34(6):706-710.

Wuhua Yuan, Zhenyu Liang, Effect of Zr addition on properties of Al-Mg-Si aluminum alloy used for all aluminum alloy conductor, J. Materials & Design, 2011, 32(8-9):4195-4200.

Shaji, M., Ravikumar, K. K., Ravi, M., & Sukumaran, K., Development of a high strength cast aluminium alloy for possible automotive applications, J. Materials Science Forum, 2013, 765:54-58.

J. Hirsch, T. Al-Samman, Superior light metals by texture engineering: Optimized aluminum and magnesium alloys for automotive applications, J. Acta Materialia, 2013, 61(3):818-843.

Morrioson, A.T., “Optimization of heat sink fin geometries for heat sinks in natural convection.”, IEEE, [1992 Proceedings] Intersociety Conference on Thermal Phenomena in Electronic Systems, 1992, 145-148.

Kou, H. S., Lee, J. J., Lai, C. Y., Thermal Analysis and Optimum Fin Length of a Heat Sink, J. Heat Transfer Engineering, 2003, 24 (2), 18-29.

Chi-Yuan Lai, Hong-Sen Kou, Ji-Jen Lee, Optimum thermal analysis of annular fin heat sink by adjusting outer radius and fin number, J. Applied Thermal Engineering, 2006, 26 (8-9), 927-936.

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Published

2024-10-16
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