Ford Global Technolgoies, LLC

Michael Bradley Bauer

Leighton Ira Davis, Jr

Gerhard Allan Dage

Edmund J Gurney, Iii

A method and system for automatically controlling a heating, ventilation and air-conditioning (HVAC) system of a vehicle in order to achieve thermal comfort of an occupant of the automotive vehicle receives a plurality of input signals representative of ambient temperature, sunload, and a set-point temperature. A desired amount of HVAC Work necessary to achieve thermal comfort is determined based on either a target temperature or a model of an occupant's thermal comfort. A controller controls the HVAC system based on the desired amount of HVAC Work.

Method and system for controlling an automotive HVAC system based on the principle of HVAC work

Method and system for controlling an automotive HVAC system based on the

A fuzzy logic algorithm utilizes a single rule to produce a varying output signal. A plurality of input signal values are received from a plurality of sensors. A predetermined combination of a plurality of membership functions in the single fuzzy logic rule are defined in which a first instance of the predetermined combination based on a first set of inputs yields a first output signal defined by a first and second axis. A second instance of the predetermined combination based on a second set of inputs different from the first set of inputs yields a second output signal substantially identical to the first output signal, except the second output signal is shifted along one of the first and second axes. A controller produces digital output signals based on the first and second output signals to produce the varying output signal.

Compact fuzzy logic algorithm

Method and system for modifying the control of an automotive HVAC (heating, ventilation and air conditioning) to prevent the formation of cabin temperature stratification. The control algorithm responds to signals generated by various climate control sensors to calculate a value representing the likelihood of stratification. The stratification strategy achieves the following three functions: (1) calculation of the likelihood of stratification, (2) estimation of probable level of stratification, and (3) modification of strategy to dispel stratification. Fuzzy logic calculations are performed based on fuzzy rules and membership functions to provide these functions and to allow the control to be expressed in simple heuristic terms.

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Detroit, MI, United States of America

Michael Bradley Bauer