CN-121973598-A - Automobile air conditioner pre-regulation energy-regulation control method and system based on in-car environment prediction

CN121973598ACN 121973598 ACN121973598 ACN 121973598ACN-121973598-A

Abstract

The application relates to the technical field of intelligent control of automobiles, and provides an automobile air conditioner pre-regulation energy-saving control method and system based on in-automobile environment prediction, wherein the method comprises the steps of collecting multisource heterogeneous data comprising the change rate of solar radiant heat flux outside an automobile, the change rate of skin micro sweat resistance value of a contact surface of a driver, the temperature of the outside of the automobile and microclimate type identification of a road section in front in real time; and comparing the somatosensory comfort index in the future preset time window with a preset threshold, and if the somatosensory comfort index in the future preset time window is larger than the preset threshold and the current actually measured comfort index is lower than a pre-adjustment trigger line, judging to enter a pre-adjustment mode and executing an energy-saving grading intervention strategy on an automobile air conditioning system. The embodiment of the application improves the accuracy of deduction of the somatosensory comfort index in the future preset time window and reduces the energy consumption of the automobile air conditioning system.

Inventors

LIU JIYU
GUO HUI

Assignees

珠海智慧高科电气技术有限公司

Dates

Publication Date: 20260505
Application Date: 20260408

Claims (6)

1. An in-vehicle environment prediction-based automobile air conditioner pre-conditioning energy regulation control method, which is characterized by comprising the following steps: The method comprises the steps of collecting multisource heterogeneous data including the change rate of solar radiant heat flux outside a vehicle, the change rate of skin micro sweat resistance value of a contact surface of a driver, the temperature of the outside environment of the vehicle and microclimate type identification of a road section in front in real time; constructing a thermal hysteresis prediction model based on the multi-source heterogeneous data, deducing the in-vehicle thermal environment state in a future preset time window, and generating a somatosensory comfort index in the future preset time window; Comparing the somatosensory comfort index in the future preset time window with a preset threshold value, and judging to enter a pre-regulation mode if the somatosensory comfort index in the future preset time window is larger than the preset threshold value and the current actually measured comfort index is lower than a pre-regulation trigger line; And in the pre-regulation mode, executing an energy-saving grading intervention strategy on the automobile air conditioning system.
2. The method for controlling pre-conditioning energy of an automotive air conditioner according to claim 1, wherein the step of constructing a thermal hysteresis prediction model based on the multi-source heterogeneous data, deducing an in-car thermal environment state within a future preset time window, and generating a somatosensory comfort index within the future preset time window comprises: Based on the change rate of solar radiation heat flux outside the vehicle, and combining the running speed of the vehicle and the heat time constant of the interior material, estimating the accumulated heat absorption quantity of the interior surface of the future time window, and mapping the accumulated heat absorption quantity into an equivalent temperature increment as a first input component of a thermal hysteresis prediction model; The trend identification is carried out on the change rate of the skin micro-sweat resistance value of the contact surface of the driver, and when the continuous decrease of the resistance value is detected, the future skin wettability accumulation index is calculated based on the change rate of the skin micro-sweat resistance value of the contact surface of the driver and mapped into the future equivalent metabolism heat generation power; Acquiring basic weight according to the microclimate type identifier of the front road section, and correcting the basic weight by utilizing the difference value between the predicted future outside environment temperature and the set temperature in the vehicle to generate a dynamic boundary correction coefficient in a future time window; And carrying out weighted fusion on the current actually-measured comfort index, the first input component, the second input component and the dynamic boundary correction coefficient to generate a somatosensory comfort index in a future preset time window.
3. The method for pre-conditioning energy conditioning control of a vehicle based on in-vehicle environment prediction according to claim 1, wherein the step of executing an energy-saving hierarchical intervention strategy on the vehicle air conditioning system comprises: The following intervention steps are executed step by step and evaluated in real time: After the first-level intervention is carried out for a first preset time, if the somatosensory comfort index is lower than the preset threshold value, the subsequent intervention is terminated, otherwise, the second-level intervention is carried out; The second-level intervention is performed, namely, under the condition that the outside environment temperature of the vehicle is lower than the current average temperature in the vehicle, the air quantity and the fresh air are regulated, the opening of the fresh air door is increased, and the rotating speed of the blower is increased; And three-stage intervention, namely, executing refrigeration power adjustment and improving the operation frequency of the compressor.
4. An in-vehicle environment prediction based vehicle air conditioning preconditioning energy conditioning control system, the system comprising: the data acquisition module is used for acquiring multisource heterogeneous data comprising the change rate of solar radiant heat flux outside the vehicle, the change rate of the skin micro sweat resistance value of the contact surface of the driver, the outside environment temperature of the vehicle and the microclimate type identifier of the road section in front in real time; the somatosensory comfort index prediction module is used for constructing a thermal hysteresis prediction model based on the multi-source heterogeneous data, deducing the in-vehicle thermal environment state in a future preset time window and generating a somatosensory comfort index in the future preset time window; The judging module is used for comparing the somatosensory comfort index in the future preset time window with a preset threshold value, and judging to enter a pre-regulation mode if the somatosensory comfort index in the future preset time window is larger than the preset threshold value and the current actually-measured comfort index is lower than a pre-regulation trigger line; And the execution module is used for executing an energy-saving grading intervention strategy on the automobile air conditioning system in the pre-adjustment mode.
5. The in-vehicle environment predicted vehicle air conditioning preconditioning energy control system of claim 4, wherein said constructing a thermal hysteresis prediction model based on said multi-source heterogeneous data, deriving in-vehicle thermal environment conditions within a future preset time window, generating a somatosensory comfort index within the future preset time window comprises: Based on the change rate of solar radiation heat flux outside the vehicle, and combining the running speed of the vehicle and the heat time constant of the interior material, estimating the accumulated heat absorption quantity of the interior surface of the future time window, and mapping the accumulated heat absorption quantity into an equivalent temperature increment as a first input component of a thermal hysteresis prediction model; The trend identification is carried out on the change rate of the skin micro-sweat resistance value of the contact surface of the driver, and when the continuous decrease of the resistance value is detected, the future skin wettability accumulation index is calculated based on the change rate of the skin micro-sweat resistance value of the contact surface of the driver and mapped into the future equivalent metabolism heat generation power; Acquiring basic weight according to the microclimate type identifier of the front road section, and correcting the basic weight by utilizing the difference value between the predicted future outside environment temperature and the set temperature in the vehicle to generate a dynamic boundary correction coefficient in a future time window; And carrying out weighted fusion on the current actually-measured comfort index, the first input component, the second input component and the dynamic boundary correction coefficient to generate a somatosensory comfort index in a future preset time window.
6. The vehicle air conditioning preconditioning energy management system based on in-vehicle environment prediction of claim 4, wherein said executing an energy-efficient hierarchical intervention strategy on the vehicle air conditioning system comprises: The following intervention steps are executed step by step and evaluated in real time: After the first-level intervention is carried out for a first preset time, if the somatosensory comfort index is lower than the preset threshold value, the subsequent intervention is terminated, otherwise, the second-level intervention is carried out; The second-level intervention is performed, namely, under the condition that the outside environment temperature of the vehicle is lower than the current average temperature in the vehicle, the air quantity and the fresh air are regulated, the opening of the fresh air door is increased, and the rotating speed of the blower is increased; And three-stage intervention, namely, executing refrigeration power adjustment and improving the operation frequency of the compressor.

Description

Automobile air conditioner pre-regulation energy-regulation control method and system based on in-car environment prediction Technical Field The application relates to the technical field of intelligent control of automobiles, in particular to an automobile air conditioner pre-regulation energy-saving control method and system based on in-car environment prediction. Background With the rapid development of automobile intellectualization and new energy, the requirements of users on the interior thermal comfort and the energy conservation of air conditioners are increasingly improved. In summer high temperature environment, the automobile is exposed to solar radiation for a long time, and the interior material can absorb and store a large amount of heat, so that a remarkable thermal hysteresis effect is formed. The traditional automobile air conditioner control method is usually only used for carrying out feedback type adjustment based on real-time data such as the current in-automobile temperature, the outside automobile environment temperature and the like, and lacks the capability of prejudging the in-automobile thermal environment in the future. When the temperature rise in the vehicle or the sense of inconvenience of a user is detected, the compressor is started to perform forced refrigeration, and the hysteresis regulation mode not only can cause poor comfort experience, but also can cause unnecessary energy consumption due to frequent high-load operation of the compressor. In addition, the prior art has obvious limitation in the aspect of heat load identification, most schemes only pay attention to environmental heat loads such as solar radiation, and the like, cannot fully consider the direct influence of physiological states (such as skin sweating and metabolism heat generation) of a driver on comfort level of a body, so that an air conditioner control strategy is disjointed from actual heat sensation of a human body, and accurate and differentiated energy-saving intervention is difficult to realize. Meanwhile, in the running process of the vehicle, the speed change can obviously influence the convection heat dissipation efficiency of the interior trim, so that the intensity of a thermal hysteresis effect is changed, and the microclimate condition (such as cloudiness and insolation) of a front road section can also directly influence the future solar radiation intensity. The existing air conditioner control method generally fails to incorporate the dynamic change factors into a prediction model, so that the deduction precision of the internal thermal environment in the future vehicle is insufficient, and the accuracy and the energy-saving effect of a preconditioning strategy are greatly reduced. Therefore, how to construct an accurate thermal hysteresis prediction model based on multi-source heterogeneous data, identify the somatosensory comfort index in a preset time window in advance, and execute energy-saving control based on the somatosensory comfort index, becomes a technical problem to be solved urgently in the current vehicle-mounted air conditioner control field. Disclosure of Invention The application aims to provide an automobile air conditioner pre-regulation energy-saving control method and system based on in-car environment prediction, and aims to solve at least one technical problem. In a first aspect, an embodiment of the present application provides a method for controlling preconditioning and energy saving of an air conditioner of an automobile based on in-vehicle environment prediction, where the method includes: The method comprises the steps of collecting multisource heterogeneous data including the change rate of solar radiant heat flux outside a vehicle, the change rate of skin micro sweat resistance value of a contact surface of a driver, the temperature of the outside environment of the vehicle and microclimate type identification of a road section in front in real time; constructing a thermal hysteresis prediction model based on the multi-source heterogeneous data, deducing the in-vehicle thermal environment state in a future preset time window, and generating a somatosensory comfort index in the future preset time window; Comparing the somatosensory comfort index in the future preset time window with a preset threshold value, and judging to enter a pre-regulation mode if the somatosensory comfort index in the future preset time window is larger than the preset threshold value and the current actually measured comfort index is lower than a pre-regulation trigger line; And in the pre-regulation mode, executing an energy-saving grading intervention strategy on the automobile air conditioning system. Further, the step of constructing a thermal hysteresis prediction model based on the multi-source heterogeneous data, deducing an in-vehicle thermal environment state in a future preset time window, and generating a somatosensory comfort index in the future preset time window includ