Development of a Method for Predicting Ambient Temperature of In-Vehicle Electronic Components Using 3D Fluid Analysis

Takafumi Okumura･Hisao Nishimori･Jun Muto･Taishi Kamatani･Yahiro Honda･Daiki Yamaguchi (Toyota Motor)

With the enhancement of functionalities in automotive electronic components and the diversification of vehicle designs and applications, the thermal design of electronic components based on their installation positions has become increasingly critical. To predict the temperature within the cabin, we developed a three-dimensional analysis technique employing fluid dynamics. By comparing actual measurements of solar radiation and cabin temperature during outdoor parking with the simulation results, we examined how variations in solar radiation due to seasonal, weather, and temporal factors affect cabin temperature.

Design of battery cooling channel for electric vehicles optimizing object distribution

Yoshikatsu Furusawa･Kunitaka Shintani･Shunsuke Hirotani (Nature Architects)･Kentaro Yaji (The University of Osaka)･Kai Suto (Nature Architects)

Because of growing interest in electric vehicles, demand for developing high-performance battery systems is rising. While the development requires an efficient battery cooling unit, the design optimization of a cooling channel is difficult due to highly non-linear dynamics of fluids. Recently, an optimization method that obtains an optimal object distribution has been proposed for designing efficient cooling channels with good productivity. This study extends the method to the design of a battery cooling plate for electric vehicles.

Evaluation of Equivalent Temperature in Vehicle Cabin by a Mesh-Free Simulation (Fifth Report)
-Evaluation of equivalent temperature under transient cooling condition with solar radiation-

Yoshiichi Ozeki (AGC)･Hajime Oi･Akira Matsumoto (Nissan Motor)

The fifth report focuses on the analysis of the equivalent temperatures under cooling solar radiation transient conditions using a clothed thermal manikin model in a 3D-CAD SUV vehicle cabin by a mesh-free simulation. The calculated results are compared with experiments for an SUV vehicle under cooling transient condition with solar radiation in a climate chamber. The control differences of the clothed thermal manikin on the equivalent temperature are also studied.

Improvement of Steady-State Analysis Accuracy of Blower Fans through Optimization of the MRF Region

Katsutoshi Taninaka･Yusuke Koike･Kanichi Yamaguchi (Mazda)･Takuji Nakashima (Hiroshima University)･Masayuki Shiga･Yuka Kinoshita (Japan Climate Systems)･Keigo Shimizu (Mazda)

In this study, we aimed to reduce the analysis cost of blower fans by focusing on the MRF (Multiple Reference Frame) region to improve the accuracy of steady-state analysis. A high-accuracy model was constructed using unsteady analysis (sliding mesh), and by comparing it with MRF steady-state analysis, we analyzed the factors involved. Based on this analysis, we optimized the MRF region to construct a model that is almost equivalent to the unsteady analysis.

Optimized planned ventilation control based on estimated vapor generation in the vehicle cabin.

Yoshiyuki Takeuchi･Mamoru Fujita (Honda Motor)

To reduce the energy used for heating in electric vehicles and address the decrease in driving range during winter, we developed a target ventilation control system that estimates the amount of vapor generated inside the cabin using existing sensors, enabling the minimum necessary ventilation without any cost increase. This technology was first applied to PHEV vehicles and has since contributed to reducing heating power consumption in various types of electric vehicles.