Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles

27 Sep 2019 Wang Hao Amini Mohammad Reza Song Ziyou Sun Jing Kolmanovsky Ilya

In this paper, we propose a combined energy and comfort optimization (CECO) strategy for the air conditioning (A/C) system of the connected and automated vehicles (CAVs). By leveraging the weather and traffic predictions enabled by the emerging CAV technologies, the proposed strategy is able to minimize the A/C system energy consumption while maintaining the occupant thermal comfort (OTC) within the comfort constraints, where the comfort is quantified by a modified predictive mean vote (PMV) model adapted for an automotive application... (read more)

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