Air conditioning system controller for motor vehicles
US-2015165966-A1 · Jun 18, 2015 · US
US9815348B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9815348-B2 |
| Application number | US-201514709362-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 11, 2015 |
| Priority date | Dec 10, 2014 |
| Publication date | Nov 14, 2017 |
| Grant date | Nov 14, 2017 |
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A method of controlling an automotive air conditioning system includes: a mode checking step of checking whether the air conditioning system is in an auto-mode; an operation recognizing step of recognizing whether the air conditioning system is manually operated in the auto-mode; and a learning step of setting and storing at least one manual operation value, when the air conditioning system is manually operated, and then operating the air conditioning system in accordance with the at least one stored manual operation value in a next auto-mode.
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What is claimed is: 1. A method of controlling an automotive air conditioning system, the method comprising: a mode checking step of checking whether the air conditioning system is in an auto-mode; an operation recognizing step of recognizing whether the air conditioning system is manually operated in the auto-mode; a learning step of setting and storing at least one manual operation value, when the air conditioning system is manually operated, and then operating the air conditioning system in accordance with the at least one stored manual operation value in a next auto-mode, a load determining step of determining one or more air-conditioning load values, wherein the learning step further includes storing one or more of the air-conditioning load values when the air conditioning system operates, and wherein in the load determining step, the load is determined using the equation, Q AC = M r C p ⅆ T r ⅆ t - { - m l ( h a - h r ) - Q env - Q i - Q solar - Q ENG - Q etc } where Q A/C is an amount of heat to be supplied or removed, M r is the mass of interior air, C p is the specific heat of air, T r is an interior temperature, t is time, m l is a flow rate of leaking air, h a is the enthalpy of external air, h r is the enthalpy of the interior air, Q env is a degree of cooling or heating by external convection, Q i is an amount of heat of at least one interior device, Q solar is an amount of radiant heat from the sun, Q eng is an amount of heat received from an engine, and Q etc is an amount of other possible heat. 2. The method of claim 1 , wherein the operation recognizing step includes detecting whether the air conditioning system has been operated for set values related to setting of an amount of air, setting of temperature, setting of internal/external air mode, setting of the air conditioning system, or setting of blowing mode. 3. The method of claim 1 , further comprising a mode performing step of performing the auto-mode in accordance with at least one mode performance value corresponding to at least one of the determined air-conditioning load values. 4. The method of claim 3 , further comprising a reset step of detecting reset signals and, when the reset signals are detected, resetting all the mode performance values, wherein the mode performing step includes performing the auto-mode in accordance with a set reference value set for each of the air-conditioning load values, when the mode performance values are reset. 5. The method of claim 3 , wherein the at least one mode performance value is a first stored manual operation value, a set reference value, a first intermediate value between the first stored manual operation value and the set reference value, or a second intermediate value between the first stored manual operation value and a second stored manual operation value. 6. The method of claim 5 , wherein the at least one mode performance value is the first intermediate value or the second intermediate value. 7. The method of claim 1 , wherein one of the manual operation values is equal to or larger than lowest set values determined for each of the air-conditioning load values. 8. The method of claim 1 , wherein a set reference value is provided for each of the air-conditioning load values, and the learning step includes determining and storing an intermediate value between a first manual operation value and the set reference value corresponding to one of the air-conditioning load values, the set reference value being close to the first manual operation value, or between the first manual operation value and another manual operation value close to the first manual operation value. 9. The method of claim 8 , wherein the intermediate value is determined by interpolation. 10. The method of claim 1 , wherein Q A/C includes the sum of an amount of heat required for the interior temperature to reach to a set temperature and an amount of heat required to maintain the interior temperature at the set temperature. 11. The method of claim 1 , wherein Q etc includes the heat of a human body. 12. The method of claim 1 , wherein Q i includes the heat of a seat.
Computational models modifying user-set values · CPC title
Control systems or circuits characterised by including features for automatic and non-automatic control, e.g. for changing from automatic to manual control · CPC title
by detection of the vehicle occupants' presence; by detection of conditions relating to the body of occupants, e.g. using radiant heat detectors · CPC title
Control systems or circuits characterised by including features for locking or memorising of control modes · CPC title
Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models · CPC title
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