Cloud-based in-car HVAC system
First Claim
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1. A method for controlling a vehicle cabin climate, the method comprising the steps of:
- receiving aggregated data from a cloud service architecture, wherein the aggregated data relates to a plurality of inputs, wherein at least some of the data is acquired from input sources at the vehicle and some of the data is acquired from input sources located remotely from the vehicle;
using an algorithm stored in a climate control module, determining an optimal cabin climate based on the aggregated data, wherein the algorithm is periodically updated with a trained version of the algorithm from the cloud service architecture that is statistically optimized using data acquired from all of the input sources; and
controlling one or more climate features according to the optimal cabin climate.
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Abstract
A method for controlling a vehicle cabin climate is provided. The method includes the steps of receiving and aggregating data relating to one or more inputs, wherein at least some of the data is acquired at the vehicle and some of the data is acquired from sources located remotely from the vehicle. The method further includes using a climate control module to determine an optimal cabin climate based on the aggregated data, and controlling one or more climate features according to the optimal cabin climate.
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19 Claims
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1. A method for controlling a vehicle cabin climate, the method comprising the steps of:
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receiving aggregated data from a cloud service architecture, wherein the aggregated data relates to a plurality of inputs, wherein at least some of the data is acquired from input sources at the vehicle and some of the data is acquired from input sources located remotely from the vehicle; using an algorithm stored in a climate control module, determining an optimal cabin climate based on the aggregated data, wherein the algorithm is periodically updated with a trained version of the algorithm from the cloud service architecture that is statistically optimized using data acquired from all of the input sources; and controlling one or more climate features according to the optimal cabin climate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 13)
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9. The method of 1, wherein the climate features include at least one of:
- a temperature in the vehicle cabin, a humidity level in the vehicle cabin, vehicle seat heating and cooling, steering wheel heating and cooling, and adjustment of sun visors.
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10. The method of 1, further including controlling climate features relating to a residential heating, cooling, and air conditioning system according to the optimal cabin climate.
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11. The method of 1, further including adjusting the vehicle climate features based on destination and fuel levels.
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12. The method of 1, wherein the step of determining the optimal cabin climate is based on a trigger event.
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14. The method 13, wherein cloud services are employed to train and optimize the algorithm.
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15. A system for controlling a vehicle cabin climate, the system comprising:
at least one vehicle system module configured to; receive aggregated data from a cloud service architecture, wherein the aggregated data relates to a plurality of inputs, wherein at least some of the data is acquired from input sources at the vehicle and some of the data is acquired from input sources located remotely from the vehicle; using an algorithm stored in a climate control module, determine an optimal cabin climate based on the aggregated data, wherein the algorithm is periodically updated with a trained version of the algorithm from the cloud service architecture that is statistically optimized using data acquired from all of the input sources; and control one or more climate features according to the optimal cabin climate. - View Dependent Claims (16, 17, 18, 19)
Specification