Despite all efforts in realising the perfect universal base comfort level, there is still a considerable amount of interference with the controls of a automatic HVAC system by passengers. To provide personalised comfort levels to individual passengers a truly learning system based on a neural network can be successfully used. This system in combination with a passenger behaviour management system adapts the factory-set base comfort level to the individual preferences thus reducing the amount of interference and increasing the individual satisfaction with an improved HVAC control system.
Adaptive Comfort Control
Sae Technical Papers
Vehicle Thermal Management Systems Conference & Exposition ; 2005
2005-05-10
Aufsatz (Konferenz)
Englisch
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