Intelligent vehicle climate control settings

A system for individually controlling heat, ventilation and air conditioning (HVAC) settings for each of a plurality of seating positions within a vehicle, comprising:

• a system controller in communication with a plurality of onboard sensors within the vehicle;
• the plurality of onboard sensors adapted to:
• detect a presence of a passenger within a one of the plurality of seating positions;
• collect real-time data related to environmental factors for the seating position;
• collect real-time data related to external factors for the seating position;
• and
• collect real-time data related to biometric parameters for the passenger;
• the system controller adapted to, for each one of the plurality of seating positions where a passenger is detected:
• receive, from the plurality of sensors, data related to the detection of a passenger within the seating position, environmental factors and external factors for the seating position and biometric parameters for the passenger within the seating position;
• predict desired HVAC settings for the passenger located within the seating position based on the external factors for the seating position, the environmental factors for the seating position and the biometric parameters for the passenger, including:
• access, with the system controller, a machine learning model for the seating position;
• access, with the system controller, a machine learning model for the passenger;
• and
• probabilistically predict, with the machine learning model for the seating position and with the machine learning model for the passenger, desired HVAC settings;
• and
• automatically adjust HVAC settings for the seating position to the predicted desired HVAC settings, wherein, the system controller is adapted to at least adjust direction of vents, adjust discharge air temperature, adjust discharge air mass flow rate, and actuate shading devices.

A vehicle having a system for individually controlling heat, ventilation and air conditioning (HVAC) settings for each of a plurality of seating positions within a vehicle, the system comprising:

• a system controller in communication with a plurality of onboard sensors within the vehicle;
• the plurality of onboard sensors adapted to:
• detect a presence of a passenger within a one of the plurality of seating positions;
• collect real-time data related to environmental factors for the seating position including real-time data related to at least weather conditions, date (season), location, temperature, day/night, and solar loading;
• collect real-time data related to external factors for the seating position including real-time data related to at least a type of clothing being worn by the passenger, number of other passengers within the vehicle and predicted desired HVAC settings for other ones of the plurality of seating positions within the vehicle;
• and
• collect real-time data related to biometric parameters for the passenger including real-time data related to at least gender, height, and weight of the passenger, and position of the head and body of the passenger;
• the system controller adapted to, for each one of the plurality of seating positions where a passenger is detected:
• receive, from the plurality of sensors, data related to the detection of a passenger within the seating position, environmental factors and external factors for the seating position and biometric parameters for the passenger within the seating position;
• access a machine learning model for the seating position based on data collected from past instances of occupants being seated within the seating position;
• access a machine learning model for the passenger based on data collected from past instances of the passenger being seated within the seating position;
• and
• probabilistically predict, with the machine learning model for the seating position and the machine learning model for the passenger, desired HVAC settings for the passenger within the seating position based on the real-time data related to environmental factors for the seating position, external factors for the seating position, and biometric parameters for the passenger;
• automatically adjust HVAC settings for the seating position to the predicted desired HVAC settings, wherein, the system controller is adapted to at least adjust direction of vents, adjust discharge air temperature, adjust discharge air mass flow rate, and actuate shading devices;
• continuously collect, from the plurality of onboard sensors, data related to a reaction, by the passenger, to current predicted desired HVAC settings, wherein the system controller is adapted to:
• monitor, with a driver monitoring system and the plurality of onboard sensors, head movements and hand gestures by the passenger;
• receive, via a microphone, verbal feedback from the passenger;
• monitor, with the plurality of onboard sensors, changes in the external factors for the seating position and the biometric parameters for the passenger;
• and
• receive, via a human machine interface (HMI), manual adjustments, by the passenger, to the HVAC settings;
• adjust the predicted desired HVAC settings based on the data related to the reaction by the passenger;
• and
• update the machine learning model for the seating position and the machine learning model for the passenger based on adjustments made to the predicted desired HVAC settings and the external factors for the seating position, the environmental factors for the seating position and the biometric parameters for the passenger when such adjustments are made.