Automobile demisting and defrosting system and vehicle

Abstract

According to the invention, the method refers to the travel demands of the user, interacts with the vehicle networking cloud platform, obtains the target environment parameters (including temperature, humidity, weather types and the like), judges to start the operation of defogging and defrosting in advance, reduces the probability of occurrence of fogging and frosting, and reduces the potential safety hazards. The existing sensor and controller unit are utilized, the misjudgment probability is reduced through a vehicle networking means, and the research and development and use cost is reduced on the premise of ensuring certain precision. And moreover, the method is not limited to simple open-loop control of the air conditioning system, and the energy loss is reduced from the angle of optimal energy consumption by dividing the fogging scene, setting different function exit states and detecting and feeding back the function operation state in real time. Furthermore, equipment systems such as a windshield wiper, an air conditioner and a fog lamp are adjusted and processed in multiple modes, the driving scene of the driver is fully considered, and the process experience feeling of the driver is improved.

Description

Technical Field

[0001] This application relates to the field of automotive air conditioning control technology, and in particular to an automotive defogging and defrosting system and a vehicle. Background Technology

[0002] As an important means of transportation, cars may experience fogging and frost on their windshields when encountering severe weather conditions such as hot, cold, or foggy days. Drivers need to shift their attention to defog and defrost, which can affect their reaction to road conditions and increase safety hazards. At the same time, overuse of the defog and defrost functions can lead to energy waste and affect the driver's driving experience.

[0003] In existing automatic defogging and defrosting solutions, the built-in sensors and control units are used to determine the external conditions and, based on the scene, to reasonably adopt different defogging methods to reduce the safety hazards caused by fogging and frost.

[0004] In some existing technologies, only a dashcam and temperature sensor are used to collect data to determine whether to activate the defrosting / fogging operation, eliminating the need for additional independent sensors and dedicated control units. Furthermore, to reduce defrosting / fogging waiting time and energy consumption, drivers can remotely activate the defrosting / fogging operation via vehicle-to-everything (V2X) and adjust the airflow. The main technical solution involves: the air conditioning controller outputting control signals to the compressor, blower, and PTC (Positive Temperature Coefficient) heater; the vehicle terminal communicating with the air conditioning controller; the driver's mobile phone communicating with the vehicle terminal via the TSP platform; and a dashcam and temperature sensor located inside the windshield outputting signals to the vehicle terminal and air conditioning controller.

[0005] In some existing technologies, the risk type of fogging inside a vehicle is determined by measuring the vehicle's internal temperature and humidity; the dew point temperature is obtained by comparing different internal and external temperatures and relative humidity, the probability of fogging is determined, and different dehumidification operations are performed according to different types and probabilities; the main means of obtaining information are in-vehicle sensors and external cloud-based environmental information.

[0006] Existing technologies primarily address fogging and frost conditions, but by the time the fogging is detected, the fog has already formed, failing to prevent it from occurring in the first place or only addressing the immediate environmental impact without considering the driver's travel needs. Furthermore, most existing technologies require additional independent sensors, failing to fully utilize existing in-vehicle sensors and increasing development and usage costs. Moreover, current multi-sensor fusion perception solutions still carry the risk of misjudgment, for example, failing to effectively utilize weather warnings in foggy morning weather. Additionally, existing technologies often rely on a single air conditioning system and use open-loop control, potentially leading to overuse and increased energy consumption; furthermore, the use of high fan speeds during defogging operations results in significant noise, negatively impacting the driver's experience. Summary of the Invention

[0007] This application, taking into account user travel needs, interacts with the vehicle network cloud platform to obtain target environmental parameters (including temperature, humidity, weather type, etc.) to determine whether to activate pre-fogging and defrosting operations, reducing the probability of fogging and frosting and minimizing safety hazards. It utilizes existing sensors and controller units, and reduces the probability of misjudgment through vehicle networking, reducing development and usage costs while maintaining a certain level of accuracy. Furthermore, it goes beyond simple open-loop control of the air conditioning system; by classifying fogging scenarios and setting different function exit states, it monitors and provides real-time feedback on function operation status, minimizing energy loss from an energy-optimal perspective. Moreover, it integrates wipers, air conditioning, fog lights, and other equipment systems through various adjustment methods, fully considering the driver's driving scenarios and improving the driver's experience.

[0008] On the one hand, this application proposes an automotive defogging and defrosting system, which includes: a detection module, a control module, an execution module, an on-board terminal, and a vehicle network cloud platform;

[0009] The detection module is used to detect the vehicle status; the control module is used to receive control signals; the execution module is used to perform defogging and defrosting operations; the vehicle network cloud platform processes network information and interacts with the vehicle terminal information.

[0010] The network information includes at least one of the following: surrounding environmental parameters and navigation information for possible travel destinations.

[0011] Furthermore, the detection module includes: an in-vehicle temperature sensor, an air conditioning intake humidity sensor, and a dashcam camera; the control module includes: a vehicle controller and an air conditioning control module; and the execution module includes: a blower, a compressor, a heater, an air conditioning duct, a wiper motor, and a fog light switch.

[0012] Furthermore, the in-vehicle temperature sensor outputs a temperature signal, and the air conditioning intake humidity sensor outputs an in-vehicle recirculated air humidity signal to the vehicle controller.

[0013] The dashcam camera outputs image signals to the vehicle terminal, and the vehicle terminal sends the image blur judgment result to the vehicle controller.

[0014] Furthermore, the vehicle terminal acquires network connectivity information and sends the network connectivity information to the vehicle network connectivity cloud platform; the vehicle network connectivity cloud platform preprocesses the network connectivity information and returns the preprocessed network connectivity information to the vehicle terminal.

[0015] Furthermore, based on the temperature signal, the in-vehicle recirculated air humidity signal, the image blur judgment result, and the pre-processed network information, the vehicle controller determines whether to perform a pre-dehumidification operation and sends an execution command.

[0016] Furthermore, the vehicle controller sends dehumidification control signals to the fog light switch, wiper motor, and air conditioning control module.

[0017] Furthermore, the air conditioning control module controls the compressor, blower, PTC heater, and air conditioning duct, and feeds back the control result signal to the vehicle controller.

[0018] Furthermore, the vehicle controller determines whether to perform a pre-dehumidification operation by calculating the vehicle's fogging probability.

[0019] Furthermore, the vehicle controller's determination of whether to perform pre-dehumidification operation also includes: the vehicle controller determining whether the fogging or frost is occurring on the outside of the windshield or on the inside of the windshield.

[0020] Furthermore, the fogging and frosting conditions are monitored periodically.

[0021] On the other hand, a vehicle is proposed that includes the aforementioned automotive defogging and defrosting system. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] To gain a more complete understanding of this application and its beneficial effects, the following description will be provided in conjunction with the accompanying drawings, wherein the same reference numerals in the following description denote the same parts.

[0024] Figure 1 System framework diagram

[0025] Figure 2 For predicting the defogging process flow chart

[0026] Figure 3 Defogging and defrosting flowchart Detailed Implementation

[0027] The technical solutions in this application will now be described with reference to the accompanying drawings.

[0028] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0029] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" and "second" may explicitly or implicitly include one or more of that feature.

[0030] It should be understood that the terminology used in the description of the various examples herein is for the purpose of describing the particular examples only and is not intended to be limiting. As used in the description of the various examples, the singular forms “a” (“a”, “an”) and “the” are intended to include the plural forms as well, unless the context explicitly indicates otherwise.

[0031] In this application, "at least one" means one, two, or more, and "more than" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0032] It should also be understood that, in this application, unless otherwise expressly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed connection, a sliding connection, a detachable connection, or an integral part; it can be a direct connection or an indirect connection through an intermediate medium.

[0033] It should also be understood that the term “comprising” (also referred to as “includes”, “including”, “comprises” and / or “comprising”) as used in this specification specifies the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0034] It should be understood that the terms "an embodiment," "another embodiment," and "a possible design" used throughout the specification mean that a specific feature, structure, or characteristic related to an embodiment or implementation is included in at least one embodiment of this application. Therefore, phrases such as "in one embodiment of this application," "in another embodiment of this application," and "a possible design" appearing throughout the specification do not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0035] It should also be understood that the specific values ​​mentioned in the embodiments of this application are not intended to limit the specific dimensions of particular features or structures. The relevant values ​​may be illustrative examples for ease of understanding, or they may represent the theoretically optimal value for a certain feature. In practice, the relevant dimensions may be a range around the value, for example, the range may be ±50% of the optimal theoretical value, and the actual dimensions should be determined based on the achievement of the corresponding technical effect.

[0036] In some embodiments, as shown in Figure 1, the vehicle intelligent defogging and defrosting system integrates multiple functional modules to achieve intelligent control across all scenarios. These include an in-vehicle temperature sensor, an air conditioning intake humidity sensor, and a dashcam camera for accurately detecting vehicle status. The in-vehicle temperature sensor has high sensitivity and low drift characteristics, providing accurate temperature information for scenario identification. The air conditioning intake humidity sensor can quickly respond to changes in in-vehicle humidity. The system also includes a blower, compressor, PTC (Positive Temperature Coefficient) heater, air conditioning duct, wiper motor, and fog light switch for completing the defogging and defrosting operations. The blower supports multi-speed adjustment and can quickly switch airflow according to defogging needs, improving dehumidification efficiency. The compressor has variable frequency control functionality, dynamically adjusting cooling power based on humidity levels to balance dehumidification effect and energy consumption optimization. The PTC heater has a rapid heating speed... It features rapid temperature control, quickly raising the interior temperature in low-temperature environments to prevent the defogging effect from being affected by excessively low temperatures; an optimized airflow design in the air conditioning ducts precisely delivers dehumidified air to the windshield area, enhancing the targeted defogging and defrosting; the wiper motor can adjust the wiping frequency in conjunction with defogging operations to avoid water vapor residue on the glass; the fog light switch can quickly activate the fog lights when fogging or frosting reduces visibility, improving driving safety; and an in-vehicle terminal and vehicle network cloud platform for information interaction and efficient data processing. The in-vehicle terminal has multi-interface compatibility, can stably connect to various sensors and controllers, and supports high-speed data transmission to ensure uninterrupted information interaction; the vehicle network cloud platform has large-capacity storage and powerful data processing capabilities, enabling parallel processing and analysis of data from multiple vehicles. The precise temperature signal output by the in-vehicle temperature sensor and the high-resolution in-vehicle circulating air humidity signal output by the air conditioning intake humidity sensor are directly transmitted to the vehicle controller, providing basic environmental data for scene identification. The dashcam camera outputs clear captured image signals to the vehicle terminal, where the image blur recognition algorithm processes the image signals and promptly sends the image blur judgment result to the vehicle controller, providing an intuitive basis for judging whether the windows are fogged or frosted.The in-vehicle terminal maintains real-time information interaction with the vehicle network cloud platform. When a user starts navigation, the in-vehicle terminal determines the vehicle's current location through high-precision GPS signals and obtains navigation information for the user's possible future destinations through the navigation application. This location and navigation signal are then sent to the vehicle network cloud platform in real time. Based on these signals, the vehicle network cloud platform quickly obtains real-time environmental information (such as temperature, humidity, and precipitation probability) and navigation traffic information (such as congestion and elevation changes) for the corresponding area. This information is then stored and professionally preprocessed. During preprocessing, a segmented processing algorithm is used to classify the information according to "driving route," "time point," and "environment type" to ensure that the information is structured and organized for easy retrieval later. The preprocessed information is then sent back to the in-vehicle terminal, which immediately forwards it to the vehicle controller, providing forward-looking environmental and navigation data for scene identification. The vehicle controller receives the two core signals mentioned above. One signal is the forward-looking environmental and navigation information processed by the vehicle terminal, and the other signal is the temperature signal, the in-vehicle air humidity signal, and the image blur judgment result output by the vehicle terminal. Then, through the built-in scene discrimination model, it performs multi-dimensional comprehensive analysis by combining the two signals. For example, when the received environmental information shows "low temperature and high humidity" and the image blur judgment result is "glass blur", it can accurately determine that there is fogging or frost in the travel scenario, and then determine whether pre-dehumidification operation needs to be performed. This effectively avoids the problem of misjudgment caused by a single signal judgment. For example, relying solely on the temperature signal may ignore the risk of fogging caused by high humidity. If pre-dehumidification is deemed necessary, the vehicle controller automatically matches the optimal dehumidification strategy based on the scenario type. For example, in low-temperature, high-humidity scenarios, it prioritizes starting the PTC heater and compressor for dehumidification; in high-temperature, high-humidity scenarios, it prioritizes increasing the blower airflow and compressor power, and immediately sends dehumidification control signals to the fog light switch, wiper motor, and air conditioning control module. Upon receiving the control signal from the vehicle controller, the air conditioning control module controls the compressor's start / stop and power, blower speed, PTC heater operating status, and airflow direction in the air conditioning duct to ensure efficient dehumidification. Simultaneously, it returns real-time control results (such as "compressor started" or "blower set to level 3") to the vehicle controller, forming a closed-loop control system that allows the vehicle controller to adjust its strategy in real-time. The fog light switch and wiper motor quickly turn on or off according to the control signals. For example, fog lights turn on immediately to improve visibility when fog forms, and the wiper motor adjusts its wiping frequency based on the residual water mist. Ultimately, this achieves precise, timely, and efficient handling of fogging and frost formation on the vehicle, significantly improving driving safety and user comfort.

[0037] In some embodiments, as shown in Figure 2, after receiving the user's travel destination sent by the vehicle terminal, the vehicle-to-everything (V2X) cloud platform performs multi-step refined processing to achieve accurate prediction and early intervention for fogging and frosting scenarios:

[0038] The vehicle-to-everything (V2X) cloud platform leverages its real-time data interaction capabilities with meteorological and map service platforms to quickly acquire environmental parameters (including temperature, humidity, visibility, and weather conditions) for all areas along the travel route. Based on abrupt changes in these environmental parameters (such as sudden increases in humidity or decreases in visibility), the platform divides the travel route into segments. This method effectively avoids prediction errors caused by poor uniformity of environmental parameters. For example, when a user travels across a bridge in foggy weather, the platform accurately classifies that section as a fog zone. Within the same weather segment, it further separates the route based on visibility level (e.g., ≥500 meters, 200-500 meters, <200 meters), relative humidity range (e.g., ≤55%, 55%-75%, >75%), and ambient temperature range (e.g., <0℃, 0-10℃, 10-20℃). This ensures a high degree of consistency in environmental parameters within each segment, and strictly guarantees that the segment length is ≥Δl during the separation process. min (Minimum segment length Δl) min The length is set to 1km. This length setting can avoid the frequent processing caused by too short a segment, and prevent the inaccurate coverage of environmental parameters caused by too long a segment, thus laying a reliable foundation for subsequent scenario-based prediction.

[0039] The vehicle controller first compares the current seasonal climate characteristics with the recorded user comfort driving temperature range [Tavg] Min Tavg Max This achieves precise adaptation to user habits—the calculation method for the user's comfortable driving temperature range is highly user-friendly and flexible: it automatically records the average in-vehicle temperature Tavg during the past 30 days, and sets Tavg by fluctuating 5°C up and down from Tavg as a baseline. Max (Tavg + 5℃) and Tavg Min(Tavg - 5℃) ensures that the temperature range perfectly matches the user's long-term usage habits; if the recorded user preference data does not meet the 30-day setting requirement (such as new car users or insufficient data records), the pre-set standard value of 23℃ will be automatically used as the average interior temperature Tavg to calculate the temperature range, avoiding functional failure due to missing data and ensuring system versatility. Subsequently, the vehicle controller further calculates the expected interior temperature of the vehicle. By integrating the real-time interior temperature Ti collected by the in-vehicle temperature sensor, the humidity signal φ collected by the air conditioning intake humidity sensor, and environmental parameter signals of each travel segment (especially the ambient temperature To), the dew point temperature Td is accurately calculated using the formula Td = A * Ti + B * (lg (φ) - 2) (where the coefficients A and B are obtained from a pre-calibrated interior temperature-relative humidity spectrum, which is constructed based on a large amount of experimental data to ensure the accuracy of the coefficients under different temperature and humidity combinations). Then, the probability of fogging when the vehicle enters the next future segment is calculated using the fogging probability formula P = (Ti - Td) / (Tb - Td) (where the temperature Tb inside the windshield is calculated using Tb = α * Ti + (1 - α) * To, and the value of α is obtained from a pre-set glass-interior / exterior temperature difference table, which covers the glass temperature change patterns under different ambient temperatures and vehicle speeds to ensure the accuracy of Tb). (Calculation accuracy) Finally, by comparing the temperature and humidity of adjacent climate zones with the dew point temperature calculated from the real-time temperature and humidity inside the vehicle, a quantitative judgment on the possibility of fogging is achieved, avoiding the misjudgment or omission caused by traditional "qualitative judgment".

[0040] Based on the calculated likelihood of fogging, the vehicle controller automatically matches the corresponding pre-processing strategy to ensure intervention before fogging occurs, significantly improving user experience and driving safety. For example, differentiated processing solutions are adopted for two typical scenarios: Scenario 1, when the user is in a comfortable spring or autumn season (ambient temperature within the human comfort range of 17℃~22℃) and outdoor relative humidity ≤55%. In scenario one, if the humidity and temperature inside the vehicle are too high due to a large number of passengers and the moisture generated by their breathing, leading to a high probability of fogging and meeting the requirements for prevention and control, the vehicle controller will prioritize increasing the external air circulation ratio (rather than activating the air conditioning). This reduces the humidity inside the vehicle by introducing dry outside air and avoids a sudden drop in interior temperature caused by activating the air conditioning, ensuring user comfort while reducing energy consumption. In scenario two, when a user travels in winter (when the ambient temperature is low), fogging may not occur when leaving the garage, but may suddenly appear during the journey due to increased humidity and temperature difference. Using traditional cold air for rapid defogging would cause a sudden drop in interior temperature, severely impacting the user experience. However, using only warm air for defogging has the problems of slow heating and requiring high airflow (causing noise). The vehicle controller, by pre-calculating the probability of fogging when the vehicle enters this high-risk area and combining this with weather information returned from the cloud, will pre-activate the 3... The system directs warm air towards the windshield (directional airflow quickly raises the glass temperature and prevents fogging), while simultaneously increasing the internal air circulation ratio (reducing the entry of cold air from outside the vehicle and accelerating the warming process inside). By pre-emptively reducing the humidity inside the vehicle and raising the glass temperature, the system pre-processes the defogging operation, effectively preventing fogging and balancing defogging effectiveness with user comfort.

[0041] By interacting with the vehicle's cloud platform in real time, the system overcomes the limitations of traditional systems that rely solely on real-time vehicle conditions. It proactively obtains weather and environmental parameters along future travel routes and combines historical vehicle temperature data from user habits with real-time temperature and humidity data collected by sensors to calculate the dew point temperature and fogging probability during vehicle operation. When the fogging probability reaches a preset probability level (for example, a calibrated value of 35%), a value based on extensive experimental verification, it strikes a balance between "early intervention" and "avoiding excessive operation," automatically activating preset dehumidification. This achieves intelligent processing of the entire process of "prediction-intervention-resolution" for fogging and frosting scenarios, significantly improving the safety, comfort, and intelligence level of vehicle use.

[0042] In some embodiments, as shown in Figure 3, in order to further reduce the additional energy loss during the defrosting and defogging process, while maximizing the user experience of the function.

[0043] The vehicle controller first integrates real-time environmental information (such as outside temperature and humidity) with inside temperature and relative humidity information to calculate the dew point temperature and obtain the probability of fogging and frost. The specific calculation process is described above. The calculation result provides a quantitative basis for subsequent dehumidification and defrosting behavior, avoiding operational delays or over-operation caused by subjective judgment, and reducing ineffective energy consumption from the source of decision-making.

[0044] When the user does not manually select the defrost / fog setting, the system automatically activates an intelligent trigger mechanism: the vehicle terminal uses images captured by the dashcam camera, combined with a high-precision image fuzzy recognition algorithm (which can effectively distinguish between fog / frost and rain / stains with an accuracy rate of ≥95%), to determine whether fog / frost exists. If it is confirmed, a trigger signal is immediately sent to the vehicle controller. At the same time, the vehicle network cloud platform sends real-time updated environmental navigation information (such as the current road humidity trend and visibility warnings) to the vehicle terminal, which then forwards it to the vehicle controller. The vehicle controller uses the dual verification of "image recognition results + environmental navigation information" to accurately exclude scenarios such as "rainy glass being mistaken for fogging," ensuring that the fog lights or wiper motors are only activated in real fog / frost scenarios, thus ensuring driving safety and avoiding energy waste caused by idling.

[0045] When the vehicle controller determines that the fogging or frost is located on the outside of the windshield, it prioritizes the lower-energy physical defogging method. First, it activates the wiper motor (the wiper motor's power is significantly lower than the air conditioning system, thus reducing energy consumption). If the ambient temperature is simultaneously detected to be higher than the interior temperature (e.g., high temperature and humidity outside the vehicle and low temperature inside the vehicle on a rainy summer day), the vehicle controller further adjusts the direction of the internal air conditioning ducts (e.g., closing the ducts blowing towards the windshield to prevent cold air from blowing onto the outer glass, causing even lower temperatures and exacerbating fogging and frost formation), and also considers the user's comfortable temperature range [Tavg]. Min Tavg Max (This range is derived from user historical habit data and is tailored to user comfort preferences.) It judges the temperature difference between the inside and outside of the car and appropriately reduces the cooling level without affecting the user experience. It strictly controls the temperature inside the car to not exceed the user's comfortable temperature range, thus avoiding user discomfort caused by excessive cooling and reducing the extra energy consumption generated by the high load operation of the air conditioner.

[0046] If the vehicle controller determines that the fogging or frost is located on the inside of the windshield, it first analyzes the percentage of the fogged area using images captured by the dashcam. If the fogged area exceeds 10% (this threshold is set based on driving safety visibility standards to ensure the driver's clear judgment of the road conditions ahead), it is determined that driving safety is affected. In this case, the vehicle controller immediately activates the rapid dehumidification mode, increasing the external air circulation ratio (introducing dry air from outside the vehicle to accelerate the removal of moisture from the vehicle, with dehumidification efficiency more than 30% higher than internal circulation), while simultaneously controlling the cold air to blow towards the windshield (cold air can quickly lower the glass temperature below the dew point, inhibiting fog condensation), to restore clear visibility as quickly as possible. If the captured images show that the fogged area accounts for ≤10%, and does not affect the driver's vision, a gentler dehumidification strategy is prioritized: increasing the warm air level and directing it towards the windshield (warm air can slowly raise the glass temperature, avoiding user discomfort caused by cold air), while simultaneously increasing the internal circulation ratio (reducing the entry of cold air from outside the vehicle, reducing air conditioning heating energy consumption, saving 20% ​​compared to external circulation). The above heating energy consumption figures take into account both safety and energy efficiency optimization as well as user comfort.

[0047] During operation according to the preset dehumidification mode, the system activates a dynamic monitoring and closed-loop adjustment mechanism: continuously monitoring the fogging and frosting status at a high frequency of 1 time / min (through dual verification of "image recognition + temperature and humidity sensor data" to avoid misjudgment based on a single data point), and flexibly switching the dehumidification mode based on the monitoring results (such as switching from fast dehumidification mode to mild dehumidification mode, or switching from wiper operation to fog light-only operation); at the same time, it continues to calculate the probability of fogging and frosting according to the aforementioned fogging probability, and when the fogging probability drops to the exit probability level line (for example, the standard value is set to 15%, which has been verified by a large number of experiments to ensure that the fog and frost have been completely cleared and will not recur in the short term), the dehumidification operation is immediately terminated to avoid energy waste caused by continuous operation of the equipment.

[0048] As described above, the system updates the current fogging and frosting status in real time and dynamically adjusts the defogging and defrosting methods during operation (dynamic adjustment every 1 minute). This allows for precise matching of the optimal processing solution for different scenarios, significantly reducing additional energy consumption. Simultaneously, through a closed-loop feedback mechanism of "judgment-execution-monitoring-adjustment," it avoids frequent and drastic switching of dehumidification modes, such as a sudden switch from rapid cold air to strong warm air. Without compromising driving safety, it effectively reduces noise and vibration generated by the equipment (e.g., avoiding duct noise caused by sudden increases and decreases in air conditioning settings), meeting the NVH (noise, vibration, and harshness) requirements for vehicle operation, and further enhancing the user's driving experience and satisfaction.

[0049] In some embodiments, the vehicle is equipped with the system described in the foregoing embodiments and executes the corresponding methods described in the foregoing embodiments. The vehicle may be a gasoline-powered vehicle, a plug-in hybrid electric vehicle, or a new energy vehicle, etc., and this application does not specifically limit it.

[0050] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

[0051] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0052] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the scope of protection of this application includes the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.

[0053] This document uses specific examples to illustrate the working principle and implementation method of the omnidirectional antenna of this application. The above description of the embodiments is only for the purpose of helping to understand the specific settings and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation method and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

[0054] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A car defogging and defrosting system, characterized in that, The system includes: a detection module, a control module, an execution module, an in-vehicle terminal, and a vehicle network cloud platform; The detection module is used to detect the vehicle status; the control module is used to receive control signals; the execution module is used to perform defogging and defrosting operations; the vehicle network cloud platform processes network information and interacts with the vehicle terminal information. The network information includes at least one of the following: surrounding environmental parameters and navigation information for possible travel destinations.

2. The automotive defogging and defrosting system according to claim 1, characterized in that, The detection module includes: an in-vehicle temperature sensor, an air conditioning intake humidity sensor, and a dashcam camera; The control module includes: a vehicle controller and an air conditioning control module; the execution module includes: a blower, a compressor, a heater, an air conditioning duct, a wiper motor, and a fog light switch.

3. The automotive defogging and defrosting system according to claim 2, characterized in that, The in-vehicle temperature sensor outputs a temperature signal, and the air conditioning intake humidity sensor outputs an in-vehicle circulating air humidity signal to the vehicle controller. The dashcam camera outputs image signals to the vehicle terminal, and the vehicle terminal sends the image blur judgment result to the vehicle controller.

4. The automotive defogging and defrosting system according to claim 3, characterized in that, The vehicle-mounted terminal acquires network connectivity information; The connected information is sent to the vehicle connected cloud platform; The vehicle-to-everything (V2X) cloud platform preprocesses the connected information and returns the preprocessed connected information to the vehicle terminal.

5. The automotive defogging and defrosting system according to claim 4, characterized in that, Based on the temperature signal, the in-vehicle recirculated air humidity signal, the image blur judgment result, and the pre-processed network information, the vehicle controller determines whether to perform a pre-dehumidification operation and sends an execution command.

6. The automotive defogging and defrosting system according to claim 5, characterized in that, The vehicle controller sends dehumidification control signals to the fog light switch, wiper motor, and air conditioning control module.

7. The automotive defogging and defrosting system according to claim 6, characterized in that, The air conditioning control module controls the compressor, blower, PTC heater, and air conditioning duct, and sends the control result signal back to the vehicle controller.

8. The automotive defogging and defrosting system according to claim 5, characterized in that, The vehicle controller determines whether to perform a pre-dehumidification operation by calculating the probability of fogging on the vehicle.

9. A car defogging and defrosting system according to claim 8, characterized in that, The vehicle controller's determination of whether to perform pre-dehumidification operation also includes: the vehicle controller determining whether the fogging or frost is on the outside of the windshield or on the inside of the windshield.

10. A car defogging and defrosting system according to any one of claims 1-9, characterized in that, Periodically monitor the fogging and frosting conditions.

11. A vehicle, characterized in that, Including a vehicle defogging and defrosting system according to any one of claims 1 to 10.

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