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An Algorithm to Estimate Thermal Radiance Centre in the Sky Hemisphere for Automotive Solar Sensor Validation

机译:用于汽车太阳传感器验证的估计半球热辐射中心的算法

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There is a solar sensor used in vehicles to estimate thermal radiance source position (azimuth and elevation) in the sky hemisphere and the amplitude of irradiance. That data is used for adjusting climate control systems for maximum passengers comfort in vehicle cabin [1]. Producers of such sensors face the absence of standard on what is the position of radiance source in the sky hemisphere. At clear sky conditions, when the sun is at high altitude, the scattered radiance compared to radiance coming directly from the sun is relatively small and can be neglected. But in case of more complex situations, like partly cloudy conditions or low sun altitudes, the scattered radiance part gets significant or dominates [2]. At those circumstances there is no industry definition on what signal output should solar sensors give. That leads to unnecessary misunderstandings between the suppliers of solar sensors and vehicle OEM's. The goal of this research was an attempt to clarify the statement "the position of the radiance source in the sky" by proposing an algorithm to estimate that position.
机译:车辆中有一个太阳能传感器,用于估计天空半球中的热辐射源位置(方位角和仰角)和辐照度。该数据用于调整气候控制系统,以最大程度地提高车厢内的乘客舒适度[1]。这种传感器的生产者面临着在天空半球中辐射源位置的标准缺乏的问题。在晴朗的天空条件下,当太阳处于高海拔时,与直接来自太阳的辐射相比,散射的辐射相对较小,可以忽略不计。但是在更复杂的情况下,例如部分多云的天气或低太阳高度,散射的辐射部分会变得很明显或占主导地位[2]。在那种情况下,对于太阳能传感器应提供什么样的信号输出尚无行业定义。这导致太阳能传感器供应商与汽车OEM厂商之间不必要的误会。这项研究的目的是试图通过提出一种估计该位置的算法来澄清“辐射源在天空中的位置”的说法。

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