KR-102962736-B1 - System for automotive autonomous HVAC conditioning based on predictive control and method thereof

KR102962736B1KR 102962736 B1KR102962736 B1KR 102962736B1KR-102962736-B1

Abstract

The present invention relates to a predictive control-based autonomous air conditioning system for automobiles and a method thereof. According to an embodiment of the present invention, an autonomous air conditioning system for automobiles based on predictive control may include: an input unit that receives a plurality of measured values and a target value, including temperature, humidity, and carbon dioxide concentration inside or outside an electric vehicle; a control signal generation unit that generates a control signal based on the input measured values and the target value; a modeling unit that applies at least one of the measured values and the generated control signal to a pre-established autonomous air conditioning model to output a change in an environmental variable inside an electric vehicle in which at least one of internal circulation, blowing, evaporation, and heat exchange is performed; and an output unit that derives a control signal satisfying the input target value using the modeling unit. As such, according to the present invention, the driving range of an electric vehicle and the thermal comfort of passengers in the vehicle can be improved by considering battery life. In addition, by autonomously controlling the air conditioning system in response to various conditions, the air quality inside the electric vehicle can be maintained, and immediate responses to changes in air quality outside or inside the electric vehicle can be made.

Inventors

김광기
이광재
김진성
이원형

Assignees

인하대학교 산학협력단

Dates

Publication Date: 20260508
Application Date: 20240220

Claims (12)

An input unit that receives multiple measured values and target values, including temperature, humidity, and carbon dioxide concentration inside or outside the electric vehicle; A control signal generation unit that generates a control signal based on the input measurement value and target value; A modeling unit that applies at least one of the above-mentioned measured value and generated control signal to a pre-established autonomous air conditioning model to output a change in environmental variables inside an electric vehicle in which at least one of internal circulation, ventilation, evaporation, and heat exchange is performed; and It includes an output unit that derives a control signal satisfying the input target value using the above modeling unit, and The above control signal generating unit is, Based on the above-mentioned input measurement values and target values, a control signal for at least one of internal circulation, blowing, cooling, and heating is generated, and A predictive control-based autonomous vehicle climate control system that calculates the temperature of air escaping from the interior of an electric vehicle using the following mathematical formula: Here, is the temperature of the air leaking from inside the electric vehicle, and is the temperature around the above electric vehicle, and is the temperature of the air flowing into the interior of the electric vehicle, and is the body heat transfer coefficient, and is the vehicle body area, and is the mass flow rate of the air inside the electric vehicle, and is the specific heat capacity of the air inside the electric vehicle, and is the amount of temperature change of the outflowing air due to the influence of solar radiation.
In Article 1, The above input unit is, A measurement input module that receives measurement values and target values including the temperature, humidity, and carbon dioxide concentration inside or outside the electric vehicle; and It includes a disturbance input module that receives disturbances including the amount of air flowing into or out of the electric vehicle and the amount of solar radiation around the electric vehicle. The above amount of air is, A predictive control-based autonomous vehicle climate control system that is the amount of air entering or exiting depending on the opening of the electric vehicle's windows, taking into account the speed of the electric vehicle.
In Article 2, The above disturbance input module is, A predictive control-based autonomous vehicle climate control system that receives at least one of the number of passengers in the electric vehicle, whether a pet is on board, and the type and number of pets.
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In Article 1, The above modeling unit is, An internal circulation module that applies the above-mentioned measurement values and the generated control signals for internal circulation to a pre-established autonomous air conditioning model to output changes in environmental variables inside the electric vehicle where internal circulation is performed; A blower module that applies the above-mentioned measurement values and control signals for the generated blower to a pre-established autonomous air conditioning model to output changes in environmental variables inside the electric vehicle where blower is performed; An evaporation module that receives the above-mentioned measured environmental values, applies the above-mentioned measured values and control signals for generated cooling to a pre-established autonomous air conditioning model, and outputs changes in environmental variables inside the electric vehicle where air cooling is performed; and A predictive control-based automotive autonomous climate control system comprising a heat exchange module that applies the above-mentioned measured values and control signals for generated heating to a pre-established autonomous climate control model to output changes in environmental variables inside an electric vehicle where heating is performed.
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In Article 1, The above control signal generating unit is, Predictive control-based autonomous vehicle climate control system that calculates the concentration of carbon dioxide leaking from the interior of an electric vehicle using the following mathematical formula: Here, is the concentration of carbon dioxide leaking from inside the electric vehicle, and is the volume of air inside the electric vehicle, and is the density of the air inside the electric vehicle, and is the mass flow rate of the air inside the electric vehicle, and is the concentration of carbon dioxide entering the interior of the electric vehicle, and is the carbon dioxide concentration inside the electric vehicle mentioned above, and is the number of passengers in the aforementioned electric vehicle, and is the mass flow rate of carbon dioxide leaked by passengers in the electric vehicle.
In Article 7, The above control signal generating unit is, Predictive control-based autonomous vehicle climate control system that calculates specific humidity leaking from the interior of an electric vehicle using the following mathematical formula: Here, is the specific humidity leaking from inside the aforementioned electric vehicle, and is the volume of air inside the electric vehicle, and is the density of the air inside the electric vehicle, and is the mass flow rate of the air inside the electric vehicle, and is the specific humidity entering the interior of the electric vehicle, and is the internal humidity of the electric vehicle mentioned above, and is the number of passengers in the aforementioned electric vehicle, and is the mass flow rate of water vapor leaked by the passenger in the electric vehicle.
In Article 5, The above-mentioned internal circulation module is, A predictive control-based automotive autonomous climate control system that outputs changes in environmental variables inside an electric vehicle where internal circulation is performed using the following mathematical formula: Here, is the concentration of carbon dioxide input to the above-mentioned blower module, and is the ratio of purified air and recirculated air within the electric vehicle transmitted from the control signal generation unit, and is the concentration of carbon dioxide leaking from inside the electric vehicle, and is the concentration of carbon dioxide around the above electric vehicle, and is the specific humidity input to the above-mentioned blower module, and is the specific humidity leaking from inside the aforementioned electric vehicle, and is the specific humidity around the above electric vehicle, and is the temperature of the air input to the above-mentioned blower module, and is the temperature of the air leaking from inside the electric vehicle, and is the temperature around the electric vehicle mentioned above.
In Article 5, The above evaporation module is, Predictive control-based autonomous vehicle climate control system that outputs changes in environmental variables inside an electric vehicle using the following mathematical formula: Here, is the specific humidity of the cooled air, and is the specific humidity delivered from the above-mentioned blower module, and is the specific humidity at the dew point, and is the specific enthalpy of cooled air, and is the temperature of the cooled air, and is the temperature of the air flowing out of the evaporation module below the dew point, and is the dew point.
In Article 5, The above heat exchange module is, Predictive control-based automotive autonomous climate control system that outputs changes in environmental variables inside an electric vehicle using the following mathematical formula: Here, is the temperature of the air flowing into the interior of the electric vehicle, and is the electricity used for heating, and is the temperature of the air input from the above-mentioned blower module, and is the mass flow rate of the air inside the electric vehicle, and is the specific heat capacity of the air inside the electric vehicle.
A step in which an input unit measures a plurality of environmental values including temperature, humidity, and carbon dioxide concentration inside or outside an electric vehicle; A step in which a control signal generator controls the measured environment value by applying it to a pre-established autonomous air conditioning model according to preset conditions; and The modeling unit includes the step of driving at least one of internal circulation, blowing, evaporation, and heat exchange according to a control signal transmitted from the control signal generating unit, and The above-mentioned controlling step is, Based on the above-mentioned input measurement values and target values, a control signal for at least one of internal circulation, blowing, cooling, and heating is generated, and Predictive control-based automotive autonomous climate control method that calculates the temperature of air escaping from the interior of an electric vehicle using the following mathematical formula: Here, is the temperature of the air leaking from inside the electric vehicle, and is the temperature around the above electric vehicle, and is the temperature of the air flowing into the interior of the electric vehicle, and is the body heat transfer coefficient, and is the vehicle body area, and is the mass flow rate of the air inside the electric vehicle, and is the specific heat capacity of the air inside the electric vehicle, and is the amount of temperature change of the outflowing air due to the influence of solar radiation.

Description

System for automotive autonomous HVAC conditioning based on predictive control and method thereof The present invention relates to a predictive control-based autonomous air conditioning system and method for an automobile, and more specifically, to a predictive control-based autonomous air conditioning system and method for an automobile that models autonomous air conditioning of an electric vehicle based on temperature, humidity, and carbon dioxide concentration inside and around the electric vehicle, predicts at least one of the temperature, humidity, or carbon dioxide concentration inside the electric vehicle, and performs autonomous air conditioning accordingly. The heating, ventilation, and air conditioning (HVAC) system of an automobile is a convenience device that performs functions such as adjusting the indoor temperature to a desired level according to outdoor conditions, such as summer and winter, and removing moisture or frost from the windshield. In particular, electric vehicles that do not use engines consume a large amount of electrical energy because they operate the vehicle's interior climate control system using the electrical energy stored in the battery. For example, in the United States, approximately 7 billion gallons of fuel are consumed to power the climate control system of a light-duty vehicle (LDV), which translates to an annual cost of about 35 trillion won. This is an amount of electrical energy consumption separate from the electrical energy used for driving, and it can accelerate the discharge of the electric vehicle's battery. In addition, there is a limitation in that the driving range decreases due to increased electrical energy consumption caused by the use of air conditioners in the summer and heaters in the winter. Therefore, there is a need for a predictive control-based autonomous vehicle climate control system that minimizes driver intervention by considering pre-set conditions. FIG. 1 is a configuration diagram of a predictive control-based autonomous air conditioning system for automobiles according to one embodiment of the present invention. FIG. 2 is a configuration diagram of an input unit according to one embodiment of the present invention. FIG. 3 is a schematic diagram of a modeling section according to one embodiment of the present invention. FIG. 4 is a configuration diagram of a modeling unit according to one embodiment of the present invention. FIG. 5 is a schematic diagram illustrating an example of modeling internal circulation according to a control signal according to an embodiment of the present invention. FIG. 6 is a schematic diagram illustrating an example of modeling cooling according to a control signal according to an embodiment of the present invention. FIG. 7 is a schematic diagram illustrating an example of modeling heating according to a control signal according to an embodiment of the present invention. FIG. 8 is a flowchart of a predictive control-based autonomous air conditioning method for automobiles according to another embodiment of the present invention. Preferred embodiments according to the present invention will be described in detail below with reference to the attached drawings. In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation. Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, the terms described below are defined in consideration of their functions within the present invention, and these may vary depending on the intent or practice of the user or operator. Therefore, the definitions of these terms should be based on the content throughout this specification. FIG. 1 is a configuration diagram of a predictive control-based autonomous air conditioning system for automobiles according to one embodiment of the present invention. As illustrated in FIG. 1, the autonomous air conditioning system (100) may include an input unit (110), a control signal generation unit (120), a modeling unit (130), and an output unit (140). First, the input unit (110) may receive multiple measured values and target values, including the temperature, humidity, concentration of carbon dioxide, solar radiation, and the amount of air entering or exiting the electric vehicle (not shown). At this time, the target value may be a driver setting value (e.g., maintaining the temperature inside the electric vehicle (not shown) at 25 to 27 degrees and humidity at 60% during the winter, and maintaining the temperature inside the electric vehicle (not shown) at 24 degrees and humidity at 50% during the summer, etc.), a setting value based on a thermal comfort index or an indoor air quality index (e.g., maintaining a comfortable range by considering the air temperature inside the electric v