Camera defrosting system control method, device, equipment and medium
By combining thermoelectric elements, heating elements, and an energy storage control system, and utilizing temperature difference energy for self-powered heating and defrosting, the problem of frost formation in traditional camera systems under low temperature and high humidity conditions is solved, achieving a high-efficiency and low-energy-consumption defrosting effect.
Patent Information
- Application Number
- CN202510974979.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-11-14
AI Technical Summary
Traditional camera systems are prone to frost formation in low-temperature and high-humidity environments, resulting in blurred images. Existing defrosting technologies rely on external power supplies or batteries, which are energy-intensive, have short battery life, and are not effective at defogging.
It adopts a combination of thermoelectric element and heating element with heat dissipation structure layer, sensor element and energy storage and control element, and dynamically adjusts defrost threshold and power regulation coefficient by environmental parameters. It uses temperature difference energy for self-powered heating defrosting, reducing energy consumption and improving battery life.
It achieves efficient defrosting in low temperature and high humidity environments, reduces energy consumption, simplifies wiring, and improves the camera's battery life and defrosting efficiency.
Smart Images

Figure CN120956998A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of camera temperature control technology, and in particular to a camera defrosting system control method, a camera defrosting system control device, an electronic device, and a computer-readable storage medium. Background Technology
[0002] Traditional camera systems are prone to frost formation in low-temperature and high-humidity environments, leading to blurred images and even equipment malfunctions. Existing defrosting technologies rely on an external power source or battery power for the electric heating film, resulting in high energy consumption, short battery life, and poor defogging performance due to relying solely on temperature control. Summary of the Invention
[0003] In view of the above problems, embodiments of this application are proposed to provide a camera defrosting system control method, a camera defrosting system control device, an electronic device, and a computer-readable storage medium that overcome or at least partially solve the above problems.
[0004] To address the aforementioned problems, in a first aspect of this application, an embodiment discloses a camera defrosting system control method. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of a camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component. The method includes:
[0005] Obtain the environmental parameters detected by the sensor assembly;
[0006] The dynamic defrosting threshold is determined based on the aforementioned environmental parameters;
[0007] The target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating state of the thermoelectric components.
[0008] The heating component and the energy storage and control component are controlled based on the target power regulation coefficient, the dynamic defrosting threshold, and the environmental parameters.
[0009] Optionally, the sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the step of acquiring the environmental parameters detected by the sensor assembly includes:
[0010] The ambient temperature detected by the ambient temperature sensor is obtained;
[0011] The ambient humidity detected by the humidity sensor is obtained;
[0012] Obtain the wind speed detected by the wind speed sensor;
[0013] The light intensity detected by the light sensor is obtained;
[0014] The ambient temperature, ambient humidity, wind speed, and light intensity are defined as environmental parameters.
[0015] Optionally, the step of determining the dynamic defrosting threshold based on the environmental parameters includes:
[0016] The ambient temperature, ambient humidity, wind speed, and light intensity are combined to generate multidimensional features;
[0017] Determine the dynamic defrosting threshold corresponding to the multidimensional features.
[0018] Optionally, the step of determining the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component includes:
[0019] The energy consumption status is determined based on the changing trend of the state of charge of the energy storage and control components.
[0020] The base power regulation coefficient is determined based on the state of charge and the state of energy consumption.
[0021] The additional coefficient is determined based on the operating status of the thermoelectric element assembly;
[0022] The control power adjustment coefficient is determined by combining the basic power adjustment coefficient and the additional coefficient;
[0023] Determine the extreme power adjustment coefficient based on the energy consumption state;
[0024] The smaller of the control power adjustment coefficient and the extreme power adjustment coefficient is determined as the target power adjustment coefficient.
[0025] Optionally, the step of controlling the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrost threshold, and the environmental parameters includes:
[0026] Based on the target power regulation coefficient, the energy storage and control component is controlled to supply energy to the heating component;
[0027] The heating element is controlled to generate heat based on the dynamic defrost threshold and the environmental parameters.
[0028] Optionally, the step of controlling the heating element's heating based on the dynamic defrost threshold and the environmental parameters includes:
[0029] The target heating time is determined based on the difference between the dynamic defrost threshold and the environmental parameters;
[0030] Control the operation of the heating component to achieve the specified heating duration.
[0031] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter includes:
[0032] Determine the difference between the dynamic defrost threshold and the environmental parameter, and determine the defrost reference temperature;
[0033] Determine the reference heating time to heat to the defrost reference temperature;
[0034] The first adjustable heating time is determined based on the magnitude of the reference heating time;
[0035] The second adjustable heating time is determined based on the baseline heating time and the ambient temperature;
[0036] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, and the second adjusted heating time.
[0037] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter further includes:
[0038] Get weather forecast information;
[0039] The third adjustment heating duration is determined based on the aforementioned weather forecast information;
[0040] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, the second adjusted heating time, and the third adjusted heating time.
[0041] Optionally, the method includes:
[0042] When the environmental parameters meet the preset charging conditions, the thermoelectric element assembly is controlled to operate.
[0043] In a second aspect of this application, an embodiment discloses a camera defrosting system control device. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component. The device includes:
[0044] The acquisition module acquires the environmental parameters detected by the sensor components;
[0045] A threshold determination module is used to determine a dynamic defrosting threshold based on the environmental parameters.
[0046] A power determination module is used to determine a target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component.
[0047] The control module is used to control the heating component and the energy storage and control component based on the target power adjustment coefficient, the dynamic defrosting threshold and the environmental parameters.
[0048] In a third aspect of this application, embodiments of this application disclose an electronic device, including a processor and a memory, wherein...
[0049] Memory, used to store computer programs;
[0050] The processor is used to execute the program stored in the memory to implement the above-mentioned camera defrosting system control method.
[0051] In a fourth aspect of this application, embodiments of this application disclose a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned camera defrosting system control method.
[0052] The embodiments of this application have the following advantages:
[0053] The camera defrosting system of this application embodiment includes a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element generates heat. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The system acquires environmental parameters detected by the sensor assembly. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element assembly and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency. Attached Figure Description
[0054] Figure 1 This is a flowchart illustrating the steps of an embodiment of a camera defrosting system control method according to this application;
[0055] Figure 2 This is a flowchart illustrating the steps of an embodiment of a camera defrosting system control method according to this application;
[0056] Figure 3 This is a schematic diagram of a camera defrosting system according to this application;
[0057] Figure 4 This is a schematic diagram of the control logic of a camera defrosting system according to this application;
[0058] Figure 5 This is a schematic diagram of the frosting detection steps of an example of a camera defrosting system control method of this application;
[0059] Figure 6 This is a schematic diagram of the energy scheduling steps of an example of a camera defrosting system control method of this application;
[0060] Figure 7 This is a schematic diagram of the heating defrosting steps of an example of a camera defrosting system control method according to this application;
[0061] Figure 8 This is a structural block diagram of an embodiment of a camera defrosting system control device according to this application;
[0062] Figure 9 This is a structural block diagram of an embodiment of an electronic device according to this application;
[0063] Figure 10 This is a structural block diagram of one embodiment of a storage medium in this application.
[0064] Explanation of reference numerals in the attached diagram: 100-Camera lens, 200-Thermoelectric element assembly, 300-Heating element, 310-Thermal paste, 320-Heating film, 400-Heat dissipation structure layer, 500-Sensor assembly, 600-Energy storage and control assembly Detailed Implementation
[0065] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0066] Reference Figure 1This document illustrates a flowchart of an embodiment of a camera defrosting system control method according to this application. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component. In this embodiment, the camera defrosting system may include a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control component. The thermoelectric element assembly can be located at the outer edge of the camera lens and converts ambient heat into electrical energy at low temperatures. The heating element is located at the inner edge of the camera lens and can generate heat during operation, thereby heating the camera lens and achieving the defrosting function. A heat dissipation structure layer can be installed between the thermoelectric element and the heating element. The operating heat of the energy storage and control components is transferred to the thermoelectric element through this heat dissipation structure layer, allowing for recharging using waste heat. When the heating element is heating up, to prevent heat dissipation and concentrate heating of the camera glass, the heat dissipation structure layer isolates the heating element from the thermoelectric element. Both the thermoelectric element and the heating element can be connected to the energy storage and control components. The sensor component can be located at the edge of the camera lens for easy detection of the external environment. After the device is powered on, the sensor component can detect the external environment and generate environmental parameters. These environmental parameters characterize the external environment of the device.
[0067] The camera defrosting system control method may specifically include the following steps:
[0068] Step 101: Obtain the environmental parameters detected by the sensor assembly;
[0069] The environmental parameters detected by the sensor components can be obtained first, and the external environment can be determined based on the environmental parameters.
[0070] Step 102: Determine the dynamic defrosting threshold based on the environmental parameters;
[0071] Based on environmental parameters, the scene is determined, and the corresponding dynamic defrost threshold is established. This dynamic defrost threshold characterizes the critical state of frost formation. When the external environment reaches the dynamic defrost threshold, it indicates a risk of frost formation.
[0072] Step 103: Determine the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component;
[0073] Then, based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components, the energy dispatch situation is determined, and the achievable target power regulation coefficient is determined. The target power regulation coefficient is the power state in which the power generation components can operate.
[0074] Step 104: Control the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrosting threshold and the environmental parameters.
[0075] Defrosting is performed on the heating components and energy storage and control components based on the target power regulation coefficient, dynamic defrosting threshold and environmental parameters.
[0076] The camera defrosting system of this application embodiment includes a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element generates heat. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The system acquires environmental parameters detected by the sensor assembly. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element assembly and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency.
[0077] Reference Figure 2This diagram illustrates a flowchart of another embodiment of a camera defrosting system control method according to this application. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component.
[0078] In this embodiment, the camera defrosting system may include a thermoelectric element assembly, a heat-generating component, a heat dissipation structure layer, a sensor assembly, and an energy storage and control component. For details, please refer to... Figure 3 , Figure 3 The right side is the camera lens; a cross-section along its radius yields the following results. Figure 3 Left side. Figure 3The top is the outer side, and the bottom is the inner side. A thermoelectric element assembly 200 is embedded in a groove on the outer edge of the camera lens 100. The upper part of the thermoelectric element assembly 200 is the hot end, and the lower part is the cold end. Below the cold end is a nanoporous heat dissipation structure layer 400. Various sensors (ambient temperature sensor, humidity sensor, wind speed sensor, light sensor, etc.) are attached to the outer edge of the lens. A heat-generating component 300 is located on the inner edge of the camera lens 100, and below that is an energy storage and control component 600. Specifically, the camera defrosting system can be divided into a four-layer architecture. The first layer consists of the camera lens 100, the thermoelectric element assembly 200, and the sensor assembly 500. The camera lens 100 can be made of borosilicate glass with a refractive index of 1.5-1.6, with a pre-reserved annular groove (0.3mm deep, 1mm wide) on its edge. The thermoelectric element assembly 200 can be a flexible silicon-germanium thermoelectric element used for power generation or auxiliary heat dissipation. The flexible silicon-germanium thermoelectric element is a flexible silicon-germanium (Si-Ge) alloy thin film with a thickness of 50-100 μm, embedded in the edge groove of the lens. N-type / P-type semiconductor thermocouples are connected in series to form a ring structure. The thermoelectric element assembly 200 includes a hot end and a cold end. The hot end is exposed to the external environment and absorbs ambient heat at low temperatures (if the external temperature is lower than the temperature of the energy storage and control component 600, thermoelectric power generation occurs). The cold end is isolated from the heating area inside the lens by a heat dissipation structure layer 400 to prevent the temperature difference from disappearing during heating. The sensor assembly 500 may include an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor. These sensors can be directly attached to the non-imaging area on the outer edge of the optical surface of the camera lens 100. The sensor probe can be 0.5 mm away from the lens surface, directly contacting the ambient air for real-time monitoring. To further improve accuracy, an integrated capacitive frost detection electrode can be used, attached to the lens surface, to directly determine the frost state through changes in dielectric constant. The second layer is the heat dissipation structure layer 400, which can be a nanoporous heat dissipation structure layer 400. Made of alumina (Al2O3) or graphene aerogel, with a pore size of 50-200 nm and a thickness of 0.5-1 mm, it can be closely attached to the cold end of the thermoelectric element 200, covering the entire edge area of the lens, forming an efficient heat conduction path. A micro-electromagnetic valve array is integrated beneath the nanoporous material. In normal mode, the heat dissipation holes (100 μm in diameter) are opened to accelerate heat dissipation from the cold end; in defrost mode, the heat dissipation holes are closed to form a heat insulation layer, reducing heat loss from the heating film 320. The third layer is the heating element 300, which may include the heating film 320 and thermal paste 310. The heating film 320 is a flexible platinum resistance heating film 320 (50 μm thick, 50-150 mW / cm²) bonded to the inner edge area of the camera lens 100. 2The heating film 320 electrode is coaxially distributed with the upper flexible silicon-germanium alloy thermoelectric element. The electrode of the heating film 320 can be connected to a bidirectional DC-DC converter via a flexible FPC (flexible printed circuit) to receive power from the energy storage and control component 600 or the thermoelectric module, supporting 3.3V / 5V output to adapt to different power requirements (maximum 1W during defrosting, 0.2W during preheating). The thermoelectric element is embedded on the outer edge of the lens, and the heating film 320 covers the inner edge of the lens; the two form a heat conduction path through the lens glass. A nano-silver thermal paste 310 (thermal conductivity ≥15W / mK) is applied between the lens and the heating film 320. This high thermal conductivity and insulation enhance the thermal coupling between the lens and the heating film 320, ensuring uniform heat transfer to the lens surface during heating. The fourth layer is the energy storage and control component 600, which may include a control system, an energy storage unit, and a machine learning dynamic threshold module. The control system includes a micro-MCU (electronic control unit) integrating a bidirectional DC-DC converter and MOSFET (field-effect transistor) drive circuit, supporting PWM (duty cycle) regulation and bidirectional energy flow. It processes sensor signals and dynamically adjusts the number of thermocouple series stages, the 320W heating film power, and the nanoporous material solenoid valve array switch to achieve energy-saving defrosting. The micro-MCU transfers waste heat to the 200W hot end of the thermoelectric element assembly via thermally conductive silicone, ensuring a stable temperature difference source. The energy storage unit can store the thermoelectric module's electrical energy through a supercapacitor (2F / 5.5V) connected in parallel with a lithium battery (3.7V / 500mAh), supporting peak current (200mA) output in defrost mode. A machine learning dynamic threshold module can collect real-time data such as humidity (RH), lens temperature (T_s), ambient temperature (T_env), main control chip temperature (T_chip), frosting frequency, historical defrosting energy consumption, and energy storage unit charge (SOC), forming a spatiotemporal feature dataset (timestamp + multi-dimensional sensor signals). This dataset is processed using a lightweight model engine embedded in the micro-MCU. The lightweight model engine can integrate time-series models based on Random Forest / Gradient Boosting Tree (GBDT) or LSTM, dynamically outputting frost / defrost thresholds through offline training (historical frost / defrost data) + online fine-tuning (real-time incremental learning). Its threshold output interface provides the MCU with real-time optimized parameters such as the frost trigger threshold (T_s*, RH*), defrost target temperature (T_target), power adjustment coefficient (α), and mode switching conditions (T_recov, RH_recov).
[0079] In the non-frost operating mode: the thermoelectric element 200 generates electricity, which is then rectified, boosted, and stored to power the low-power circuitry of the camera. In the triggered defrost mode, the energy storage unit releases electrical energy, which is then stepped down by DC-DC to the voltage of the heating film 320, such as 3.3V / 5V, and then drives the heating film 320 to heat up. At the same time, if there is a temperature difference (such as the main control chip temperature > 0℃), the thermoelectric element 200 continues to generate electricity to replenish the stored energy, reducing battery consumption.
[0080] The camera defrosting system control method may specifically include the following steps:
[0081] Step 201: Obtain the environmental parameters detected by the sensor assembly;
[0082] It can acquire the environmental parameters detected by each sensor.
[0083] In an optional embodiment of this application, the sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the step of acquiring the environmental parameters detected by the sensor assembly includes: acquiring the ambient temperature detected by the ambient temperature sensor; acquiring the ambient humidity detected by the humidity sensor; acquiring the wind speed detected by the wind speed sensor; acquiring the light intensity detected by the light sensor; and determining the ambient temperature, the ambient humidity, the wind speed, and the light intensity as environmental parameters.
[0084] In this embodiment, an ambient temperature sensor detects the temperature of the external environment to generate an ambient temperature reading. A humidity sensor detects the relative humidity of the external environment to generate an ambient humidity reading. A wind speed sensor detects the wind speed of the external environment; and a light sensor detects the light conditions of the external environment to generate a light intensity reading. By using ambient temperature, ambient humidity, wind speed, and light intensity as environmental parameters, defrosting can be detected and controlled from multiple dimensions, avoiding the need to rely solely on temperature control and ensuring effective defrosting.
[0085] Step 202: Determine the dynamic defrosting threshold based on the environmental parameters;
[0086] Based on environmental parameters, the external environment is determined, and the corresponding dynamic defrosting threshold is determined.
[0087] In an optional embodiment of this application, the step of determining the dynamic defrosting threshold based on the environmental parameters includes:
[0088] Sub-step S2021: Combine the ambient temperature, ambient humidity, wind speed and light intensity to generate multi-dimensional features;
[0089] Features from ambient temperature, humidity, wind speed, and light intensity can be combined to generate multidimensional features with four dimensions: temperature, humidity, wind speed, and light intensity.
[0090] Sub-step S2022: Determine the dynamic defrosting threshold corresponding to the multidimensional feature.
[0091] Determine the dynamic defrosting threshold corresponding to this multidimensional feature.
[0092] Determining the dynamic defrosting threshold can be handled using an ensemble model. This model can be constructed using density clustering, probability thresholding with random forests, GBDT (Gradient Boosting Decision Tree), or LSTM (Long Short-Term Memory). By inputting ambient temperature, humidity, wind speed, and light intensity into the model, it uses environmental parameters and historical data to calculate and determine the dynamic defrosting threshold.
[0093] Step 203: Determine the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component;
[0094] The current available energy is determined by the state of charge of the energy storage and control components, the heating status is determined by the operating status of the thermoelectric components, and the target power regulation coefficient is determined based on the heating status and the available energy status.
[0095] In an optional embodiment of this application, the step of determining the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component includes:
[0096] Sub-step S2041: Determine the energy consumption state based on the changing trend of the state of charge of the energy storage and control components;
[0097] By analyzing the historical changes in the state of charge (SBC) of energy storage and control components, the trend of SBC changes can be determined. This trend in SBC allows for the prediction of energy changes within the energy storage and control components, thus determining their energy consumption status.
[0098] Sub-step S2042: Determine the base power regulation coefficient based on the state of charge and the energy consumption state;
[0099] Then, by analyzing the current state of charge and energy consumption of the energy storage and control components, the output power is determined, and thus the base power regulation coefficient is determined. The base power regulation coefficient characterizes...
[0100] Sub-step S2043: Determine the additional coefficient based on the operating status of the thermoelectric element assembly;
[0101] Based on the current operating status of the hot spot component, identify the current operating condition and determine the corresponding additional system.
[0102] Sub-step S2044: Determine the control power adjustment coefficient by combining the basic power adjustment coefficient and the additional coefficient;
[0103] An additional coefficient is added to the basic power regulation coefficient, such as adding an additional coefficient to the basic power regulation coefficient to determine the control power regulation coefficient. The control power regulation coefficient is the power regulation system after the basic power regulation coefficient has been corrected by the additional coefficient.
[0104] Sub-step S2045: Determine the extreme power adjustment coefficient based on the energy consumption state;
[0105] Then, based on the current energy consumption state, the extreme power regulation coefficient that can sustain long-term operation is determined. The extreme power regulation coefficient characterizes the power regulation coefficient that can be achieved under optimal battery life.
[0106] Sub-step S2046: Determine the smaller of the control power adjustment coefficient and the extreme power adjustment coefficient as the target power adjustment coefficient.
[0107] The control power adjustment coefficient and the extreme power adjustment coefficient are compared, and the smaller value between the extreme power adjustment coefficient and the control power adjustment coefficient is determined by methods such as difference, ratio, and number line method. This smaller value is then used as the target power adjustment coefficient.
[0108] For example, the relationship for determining the target power regulation coefficient can be shown in the following table:
[0109]
[0110]
[0111] Table 1
[0112] For the parameters in Table 1, historical energy consumption is calculated as follows: The average power of the heating film over the past 24 hours is used as a benchmark, and compared with the equipment's rated power threshold to classify levels (e.g., the threshold can be set to 70% of the equipment's maximum power consumption). 2. Priority logic: When SOC < 20%, historical energy consumption does not participate in regulation, and the minimum power is forced (to ensure safety). When ΔT > 20℃, an additional 0.1 (not exceeding 1.2) is added to the base α calculated based on SOC + historical energy consumption. In historical high energy consumption states (≥ 1.5 times the threshold), even if SOC is sufficient, α does not exceed 1.0. 3. Dynamic balance: Historical energy consumption is used to avoid frequent high-power operation leading to overload of the energy storage unit, or low-power operation leading to insufficient defrosting efficiency.
[0113] Furthermore, the heating element can be formed by connecting thermocouples in series, and the corresponding number of thermocouple series stages can be determined under different power and requirements, thereby enabling more precise control.
[0114]
[0115]
[0116] Table 2
[0117] For the parameters in Table 2, N is 10%-20% of the preset base level (which can be fine-tuned according to hardware parameters). For example, when the base level is 20, it can be increased by 2-4 levels for high temperature and decreased by 2-4 levels for low temperature. The adjustment frequency needs to be combined with the real-time temperature fluctuation range (e.g., infrequent adjustments within ±5℃ to avoid hardware wear and tear).
[0118] Step 204: Control the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrosting threshold and the environmental parameters;
[0119] The current frost condition is determined by the target power regulation coefficient, dynamic defrost threshold, and environmental parameters, and then the heating components and energy storage and control components are controlled to work to achieve the defrosting function.
[0120] In an optional embodiment of this application, the step of controlling the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrost threshold, and the environmental parameters includes:
[0121] Sub-step S2041: Based on the target power regulation coefficient, control the energy storage and control component to supply energy to the heating component;
[0122] The output of the energy storage unit in the energy storage and control component can be controlled by using the target power regulation coefficient, thereby controlling the energy storage and control component to supply energy to the heating component.
[0123] Sub-step S2042: Control the heating component to generate heat based on the dynamic defrost threshold and the environmental parameters.
[0124] Powered by the energy storage unit in the energy storage and control component, the heating component uses dynamic defrost threshold and environmental parameters to control the heating component in real time to heat the lens glass.
[0125] In an optional embodiment of this application, the step of controlling the heating element's heating based on the dynamic defrost threshold and the environmental parameters includes:
[0126] Sub-step S20421: Determine the target heating time based on the difference between the dynamic defrost threshold and the environmental parameters;
[0127] For the heating control process, the difference between the dynamic defrost threshold and the environmental parameters can be calculated first. The state of frost can be identified by the difference, and the target heating time can be determined.
[0128] In one example of this application, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter includes: determining the difference between the dynamic defrost threshold and the environmental parameter, and determining a defrost reference temperature; determining a reference heating time to heat to the defrost reference temperature; determining a first adjustable heating time based on the magnitude of the reference heating time; determining a second adjustable heating time based on the reference heating time and the ambient temperature; and determining the target heating time by combining the reference heating time, the first adjustable heating time, and the second adjustable heating time.
[0129] To determine the target heating time, the difference between the dynamic defrost threshold and environmental parameters can be determined to establish a defrost reference temperature. This reference temperature represents the minimum temperature the camera lens needs to reach during defrosting. The time required to heat from the current temperature to the reference temperature is then determined, i.e., the reference heating time. A first adjustable heating time is then determined based on the reference heating time. This first adjustable heating time represents a correction value for the time required to heat to the reference temperature. Based on the reference heating time and ambient temperature, the heat loss is determined, and a second adjustable heating time is determined to compensate for the environmental losses. Finally, the reference heating time, the first adjustable heating time, and the second adjustable heating time are combined to determine the target heating time.
[0130] In one example of this application, the step of determining the target heating duration based on the difference between the dynamic defrosting threshold and the environmental parameters further includes: obtaining weather forecast information; determining a third adjustable heating duration based on the weather forecast information; and determining the target heating duration by combining the baseline heating duration, the first adjustable heating duration, the second adjustable heating duration, and the third adjustable duration.
[0131] Further processing can involve obtaining weather forecast information. The weather forecast information is used to determine the future temperature and humidity trends, and then to determine the duration that needs to be adjusted, i.e., the third adjustment heating duration. Finally, the baseline heating duration, the first adjustment heating duration, the second adjustment duration, and the third adjustment heating duration are combined to determine the target heating duration.
[0132] Sub-step S20422: Control the heating component to operate for the specified heating duration.
[0133] The heating element is powered by energy from the energy storage and control components. The heating process starts from the moment the heating begins and ends when the required heating time is reached.
[0134] Step 205: When the environmental parameters meet the preset charging conditions, control the thermoelectric element assembly to operate.
[0135] When environmental parameters meet the preset charging conditions, the thermoelectric component can be controlled to operate, and heat can be converted into electrical energy, which can then power the heating component, sensor component, and energy storage and control component.
[0136] The preset charging conditions include, but are not limited to, the external temperature being higher than a preset value and the heat generated by the energy storage and control components being greater than the external ambient temperature.
[0137] This application embodiment utilizes a camera-based defrosting system comprising a thermoelectric element assembly, a heating element, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer isolates the heating element and the thermoelectric element assembly when the heating element is heating. The thermoelectric element assembly converts operating heat to charge the energy storage and control assembly. Environmental parameters detected by the sensor assembly are acquired. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. When the environmental parameters meet preset charging conditions, the thermoelectric element assembly is controlled to operate. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency. Furthermore, when charging is possible, the thermoelectric components are used for charging to ensure continued driving range.
[0138] To enable those skilled in the art to clearly understand the implementation process of the embodiments of this application, the following examples are used for illustration:
[0139] The control logic of the camera defrosting system can be referred to Figure 4An ambient temperature sensor detects the external ambient temperature and generates an ambient temperature reading. A humidity sensor detects the relative humidity of the external environment and generates the ambient humidity reading. An air speed sensor detects the wind speed of the external environment; a light sensor detects the light intensity of the external environment. These environmental parameters are input to the MCU. The MCU's frost detection model calculates the dynamic frost threshold; the energy dispatch model calculates the power coefficient α and the number of thermocouple stages; the heating control model calculates T_target (heating temperature) and adjusts the heating duration; and the pattern recovery model receives weather forecast information via a weather forecast interface. Based on the parameters output by each model, the MCU controls the number of thermocouple stages, the switching of the heat dissipation channels in the nanoporous material, the power of the heating film, and the energy of the energy storage unit.
[0140] The corresponding frosting detection chart can be referenced. Figure 5 The frost detection threshold is based on T_s ≤ 0℃ and RH ≥ 85%. The model outputs personalized thresholds based on the current environment (such as wind speed and light intensity, requiring additional sensors or default parameters) and historical frost probabilities (such as differences between winter and summer). For example, in a low-temperature, high-wind-speed scenario, T_s* = -2℃, RH* = 80%; in a high-humidity, static scenario, T_s* = 1℃, RH* = 90%. When the real-time (T_s, RH) falls into the dynamic risk area generated by the model, the MCU defrost command is triggered. The dynamic risk area is a multi-dimensional parameter space constructed by combining environmental parameters, historical data, and real-time monitoring data through density clustering, probability thresholds, and algorithms such as random forest, GBDT, and LSTM.
[0141] 1. Basic parameters:
[0142] 1-1. Lens surface temperature (T_s): Directly affects the thermodynamic conditions for frosting;
[0143] 1-2. Ambient relative humidity (RH): determines the likelihood of water vapor condensation.
[0144] 2. Environmental correction parameters (adjust parameters according to actual sensor conditions):
[0145] 2-1. Wind speed (v): Affects the heat dissipation rate and moisture evaporation on the lens surface. High wind speed may reduce the probability of frosting (accelerates heat dissipation but may also accelerate moisture adhesion).
[0146] 2-2. Light Intensity (L): Light can increase the surface temperature of the lens and suppress frost formation;
[0147] 2-3. Ambient temperature (T_a): The temperature difference between A and T_s affects heat conduction, indirectly affecting the frosting rate;
[0148] 3. Optional parameters: atmospheric pressure, lens material temperature coefficient, historical defrosting frequency, etc.
[0149] II. Modeling
[0150] 1. Spatial dimension: density clustering, which involves clustering historical frost data to divide different scenarios and define the parameter space range for each scenario.
[0151] 2. Time series dimension: LSTM prediction captures the time series change trend of parameters such as temperature and humidity. If the predicted parameters will fall into the risk zone in the short term, the risk boundary is expanded in advance.
[0152] 3. Probability dimension: Random forest / GBDT, based on the current environmental parameters (temperature, humidity, wind speed, etc.) and the time series features of LSTM output, calculates the frost probability, sets a dynamic probability threshold, and makes a comprehensive judgment by combining the frost probability output by the ensemble model.
[0153] The corresponding energy scheduling process can be referenced. Figure 6 The heating film is driven by the power of the energy storage unit. The power model of the heating film outputs a power adjustment coefficient α (0.5~1.2) based on the energy storage unit's power (SOC), the real-time temperature difference (ΔT) of the thermoelectric element, and historical energy consumption data. At the same time, the MCU dynamically adjusts the number of thermocouple series stages according to the model's suggestions to balance power generation efficiency and chip heat dissipation.
[0154] For the corresponding heating and defrosting process, please refer to [the relevant documentation]. Figure 7 The initial baseline for the defrosting target temperature is 5℃. The model outputs T_target based on parameters such as frost thickness (indirectly calculated through defrosting time / power) and real-time ambient temperature. The heating film raises the lens surface temperature to T_target. Based on historical melting time data, the model dynamically adjusts the maintenance duration until the frost melts. The nanoporous material temporarily closes the heat dissipation channels to reduce heat loss; simultaneously, it switches to 50% power preheating to prevent secondary frost formation until the mode recovery threshold is reached (the threshold baseline is lens temperature ≥10℃ and RH <70%). The model then adjusts the recovery conditions based on the 2-hour weather forecast, stops heating, switches the system back to power generation mode, and recharges the energy storage unit. The calculation logic for T_target (target defrosting temperature) prioritizes determining the baseline value based on frost thickness and real-time ambient temperature, with seasonal / historical frost rate as optional fine-tuning parameters. Furthermore, T_target is strictly controlled within 2℃~15℃ (within the safety boundary), and does not exceed 15℃ when combined with "thick frost + extremely low temperature". See the table below for details:
[0155]
[0156] Table 3
[0157] For dynamic adjustment of the target heating time: The primary adjustment factors are RH and the average historical melting time, combined with real-time wind speed and frost detection results for fine-tuning to avoid overheating or incomplete defrosting. The base value for the target heating time is ±50% (1–3 minutes), and in strong wind / frost scenarios, it can be extended to a maximum of 3.5 minutes (to avoid overheating). See the table below for details:
[0158]
[0159] Table 4
[0160] For mode recovery, the intelligent judgment is based on the access to weather forecasts. The threshold dynamically shifts with future environmental trends (e.g., in high humidity environments, the RH termination condition is increased to prevent re-frost formation immediately after recovery; energy storage capacity and nighttime hours are optional auxiliary fine-tuning conditions). The termination threshold is temperature adjustment ±2℃ and humidity ±10% (to prevent frequent mode switching). Please refer to the table below:
[0161]
[0162] Table 5
[0163] It can also protect the camera lens, such as forcibly cutting off power when the lens temperature exceeds 15℃ to avoid damage to the optical coating; when the energy storage unit's power is <20%, heating stops to ensure power supply for the camera's basic functions. Safety protection (SOC < 20% / T > 15℃) directly covers all adjustment rules and forcibly terminates heating.
[0164] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this application are not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of this application.
[0165] Reference Figure 8This diagram illustrates a structural block diagram of an embodiment of a camera defrosting system control device according to this application. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component. The camera defrosting system control device may specifically include the following modules:
[0166] The acquisition module 801 acquires the environmental parameters detected by the sensor assembly;
[0167] Threshold determination module 802 is used to determine the dynamic defrosting threshold based on the environmental parameters;
[0168] The power determination module 803 is used to determine the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component.
[0169] The control module 804 is used to control the heating component and the energy storage and control component based on the target power adjustment coefficient, the dynamic defrosting threshold and the environmental parameters.
[0170] In an optional embodiment of this application, the sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the acquisition module 801 includes:
[0171] The first acquisition submodule is used to acquire the ambient temperature detected by the ambient temperature sensor.
[0172] The second acquisition submodule is used to acquire the ambient humidity detected by the humidity sensor.
[0173] The third acquisition submodule is used to acquire the wind speed detected by the wind speed sensor;
[0174] The fourth acquisition submodule is used to acquire the light intensity detected by the light sensor;
[0175] The environmental parameter submodule is used to determine the ambient temperature, ambient humidity, wind speed, and light intensity as environmental parameters.
[0176] In an optional embodiment of this application, the threshold determination module 802 includes:
[0177] The combination submodule is used to combine the ambient temperature, ambient humidity, wind speed, and light intensity to generate multidimensional features;
[0178] The dynamic defrost threshold submodule is used to determine the dynamic defrost threshold corresponding to the multidimensional features.
[0179] In an optional embodiment of this application, the power determination module 803 includes:
[0180] The energy consumption status determination submodule is used to determine the energy consumption status based on the changing trend of the state of charge of the energy storage and control components.
[0181] The basic power regulation coefficient determination submodule is used to determine the basic power regulation coefficient based on the state of charge and the energy consumption state;
[0182] An additional coefficient determination submodule is used to determine additional coefficients based on the operating status of the thermoelectric element assembly;
[0183] The adjustment and combination submodule is used to determine the control power adjustment coefficient by combining the basic power adjustment coefficient and the additional coefficient;
[0184] An extreme power regulation coefficient determination submodule is used to determine the extreme power regulation coefficient based on the energy consumption state;
[0185] The target power regulation coefficient determination submodule is used to determine the smaller of the control power regulation coefficient and the extreme power regulation coefficient as the target power regulation coefficient.
[0186] In an optional embodiment of this application, the control module 804 includes:
[0187] The power supply submodule is used to control the energy storage and control component to supply power to the heating component based on the target power adjustment coefficient;
[0188] A heating submodule is used to control the heating component to generate heat based on the dynamic defrost threshold and the environmental parameters.
[0189] In an optional embodiment of this application, the power supply submodule includes:
[0190] The target heating duration determination unit is used to determine the target heating duration based on the difference between the dynamic defrost threshold and the environmental parameters;
[0191] A heating control unit is used to control the operation of the heating component to achieve the heating duration.
[0192] In an optional embodiment of this application, the target heating time determination unit includes:
[0193] The defrost reference temperature determination subunit is used to determine the difference between the dynamic defrost threshold and the environmental parameters, and to determine the defrost reference temperature.
[0194] The reference heating time determination subunit is used to determine the reference heating time to heat to the defrost reference temperature;
[0195] The first adjustable heating duration determination subunit is used to determine the first adjustable heating duration based on the magnitude of the reference heating duration.
[0196] The second adjustable heating time determination subunit is used to determine the second adjustable heating time based on the reference heating time and the ambient temperature;
[0197] The first duration combination subunit is used to determine the target heating duration by combining the reference heating duration, the first adjustable heating duration, and the second adjustable duration.
[0198] In an optional embodiment of this application, the target heating duration determination unit further includes:
[0199] The acquisition sub-unit is used to acquire weather forecast information;
[0200] The third adjustable heating duration determination subunit is used to determine the third adjustable heating duration based on the weather forecast information;
[0201] The second duration combination subunit is used to determine the target heating duration by combining the reference heating duration, the first adjusted heating duration, the second adjusted heating duration, and the third adjusted duration.
[0202] In an optional embodiment of this application, the apparatus further includes:
[0203] The charging module is used to control the operation of the thermoelectric element assembly when the environmental parameters meet the preset charging conditions.
[0204] The camera defrosting system of this application embodiment includes a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element generates heat. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The system acquires environmental parameters detected by the sensor assembly. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element assembly and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency.
[0205] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.
[0206] This application also provides an electronic device, please refer to... Figure 9 The system includes a processor 910 and a memory 920, wherein the memory 910 is used to store computer programs; the processor 920 is used to execute the programs stored in the memory 910 to implement the camera defrosting system control method described in any embodiment of this application. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element; the operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer; the heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up; the thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component; the method includes:
[0207] Obtain the environmental parameters detected by the sensor assembly;
[0208] The dynamic defrosting threshold is determined based on the aforementioned environmental parameters;
[0209] The target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating state of the thermoelectric components.
[0210] The heating component and the energy storage and control component are controlled based on the target power regulation coefficient, the dynamic defrosting threshold, and the environmental parameters.
[0211] Optionally, the sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the step of acquiring the environmental parameters detected by the sensor assembly includes:
[0212] The ambient temperature detected by the ambient temperature sensor is obtained;
[0213] The ambient humidity detected by the humidity sensor is obtained;
[0214] Obtain the wind speed detected by the wind speed sensor;
[0215] The light intensity detected by the light sensor is obtained;
[0216] The ambient temperature, ambient humidity, wind speed, and light intensity are defined as environmental parameters.
[0217] Optionally, the step of determining the dynamic defrosting threshold based on the environmental parameters includes:
[0218] The ambient temperature, ambient humidity, wind speed, and light intensity are combined to generate multidimensional features;
[0219] Determine the dynamic defrosting threshold corresponding to the multidimensional features.
[0220] Optionally, the step of determining the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component includes:
[0221] The energy consumption status is determined based on the changing trend of the state of charge of the energy storage and control components.
[0222] The base power regulation coefficient is determined based on the state of charge and the state of energy consumption.
[0223] The additional coefficient is determined based on the operating status of the thermoelectric element assembly;
[0224] The control power adjustment coefficient is determined by combining the basic power adjustment coefficient and the additional coefficient;
[0225] Determine the extreme power adjustment coefficient based on the energy consumption state;
[0226] The smaller of the control power adjustment coefficient and the extreme power adjustment coefficient is determined as the target power adjustment coefficient.
[0227] Optionally, the step of controlling the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrost threshold, and the environmental parameters includes:
[0228] Based on the target power regulation coefficient, the energy storage and control component is controlled to supply energy to the heating component;
[0229] The heating element is controlled to generate heat based on the dynamic defrost threshold and the environmental parameters.
[0230] Optionally, the step of controlling the heating element's heating based on the dynamic defrost threshold and the environmental parameters includes:
[0231] The target heating time is determined based on the difference between the dynamic defrost threshold and the environmental parameters;
[0232] Control the operation of the heating component to achieve the specified heating duration.
[0233] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter includes:
[0234] Determine the difference between the dynamic defrost threshold and the environmental parameter, and determine the defrost reference temperature;
[0235] Determine the reference heating time to heat to the defrost reference temperature;
[0236] The first adjustable heating time is determined based on the magnitude of the reference heating time;
[0237] The second adjustable heating time is determined based on the baseline heating time and the ambient temperature;
[0238] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, and the second adjusted heating time.
[0239] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter further includes:
[0240] Get weather forecast information;
[0241] The third adjustment heating duration is determined based on the aforementioned weather forecast information;
[0242] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, the second adjusted heating time, and the third adjusted heating time.
[0243] Optionally, the method includes:
[0244] When the environmental parameters meet the preset charging conditions, the thermoelectric element assembly is controlled to operate.
[0245] The camera defrosting system of this application embodiment includes a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element generates heat. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The system acquires environmental parameters detected by the sensor assembly. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element assembly and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency.
[0246] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.
[0247] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0248] This application also provides a computer-readable storage medium 1001, which can be referred to... Figure 10 The computer-readable storage medium stores a computer program that, when executed by a processor, implements the camera defrosting system control method described in any embodiment of this application. The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control component connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control component is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control component. The method includes:
[0249] Obtain the environmental parameters detected by the sensor assembly;
[0250] The dynamic defrosting threshold is determined based on the aforementioned environmental parameters;
[0251] The target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating state of the thermoelectric components.
[0252] The heating component and the energy storage and control component are controlled based on the target power regulation coefficient, the dynamic defrosting threshold, and the environmental parameters.
[0253] Optionally, the sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the step of acquiring the environmental parameters detected by the sensor assembly includes:
[0254] The ambient temperature detected by the ambient temperature sensor is obtained;
[0255] The ambient humidity detected by the humidity sensor is obtained;
[0256] Obtain the wind speed detected by the wind speed sensor;
[0257] The light intensity detected by the light sensor is obtained;
[0258] The ambient temperature, ambient humidity, wind speed, and light intensity are defined as environmental parameters.
[0259] Optionally, the step of determining the dynamic defrosting threshold based on the environmental parameters includes:
[0260] The ambient temperature, ambient humidity, wind speed, and light intensity are combined to generate multidimensional features;
[0261] Determine the dynamic defrosting threshold corresponding to the multidimensional features.
[0262] Optionally, the step of determining the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component includes:
[0263] The energy consumption status is determined based on the changing trend of the state of charge of the energy storage and control components.
[0264] The base power regulation coefficient is determined based on the state of charge and the state of energy consumption.
[0265] The additional coefficient is determined based on the operating status of the thermoelectric element assembly;
[0266] The control power adjustment coefficient is determined by combining the basic power adjustment coefficient and the additional coefficient;
[0267] Determine the extreme power adjustment coefficient based on the energy consumption state;
[0268] The smaller of the control power adjustment coefficient and the extreme power adjustment coefficient is determined as the target power adjustment coefficient.
[0269] Optionally, the step of controlling the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrost threshold, and the environmental parameters includes:
[0270] Based on the target power regulation coefficient, the energy storage and control component is controlled to supply energy to the heating component;
[0271] The heating element is controlled to generate heat based on the dynamic defrost threshold and the environmental parameters.
[0272] Optionally, the step of controlling the heating element's heating based on the dynamic defrost threshold and the environmental parameters includes:
[0273] The target heating time is determined based on the difference between the dynamic defrost threshold and the environmental parameters;
[0274] Control the operation of the heating component to achieve the specified heating duration.
[0275] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter includes:
[0276] Determine the difference between the dynamic defrost threshold and the environmental parameter, and determine the defrost reference temperature;
[0277] Determine the reference heating time to heat to the defrost reference temperature;
[0278] The first adjustable heating time is determined based on the magnitude of the reference heating time;
[0279] The second adjustable heating time is determined based on the baseline heating time and the ambient temperature;
[0280] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, and the second adjusted heating time.
[0281] Optionally, the step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameter further includes:
[0282] Get weather forecast information;
[0283] The third adjustment heating duration is determined based on the aforementioned weather forecast information;
[0284] The target heating time is determined by combining the baseline heating time, the first adjusted heating time, the second adjusted heating time, and the third adjusted heating time.
[0285] Optionally, the method includes:
[0286] When the environmental parameters meet the preset charging conditions, the thermoelectric element assembly is controlled to operate.
[0287] The camera defrosting system of this application embodiment includes a thermoelectric element assembly, a heating element assembly, a heat dissipation structure layer, a sensor assembly, and an energy storage and control assembly. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element assembly and the thermoelectric element assembly when the heating element generates heat. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The system acquires environmental parameters detected by the sensor assembly. A dynamic defrosting threshold is determined based on the environmental parameters. A target power adjustment coefficient is determined based on the state of charge of the energy storage and control assembly and the operating state of the thermoelectric element assembly. The heating element assembly and the energy storage and control assembly are controlled based on the target power adjustment coefficient, the dynamic defrosting threshold, and the environmental parameters. By recovering energy from ambient temperature differences through thermoelectric components, storing this energy in energy storage and control components, and then using these components to power the heating components, the vehicle eliminates the need for an external power source or battery. This simplifies the vehicle's wiring and internal structure. A heat dissipation structure layer switches between states during power generation and heating, facilitating both heat conduction for charging and heat insulation for defrosting the heating components. This reduces heat loss, lowers system energy consumption, and improves driving range. Defrosting is performed by determining a dynamic defrosting threshold based on environmental parameters, and a target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating status of the thermoelectric components. This target power regulation coefficient controls the heating of the heating components, adapting to complex environments and improving defrosting efficiency.
[0288] 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.
[0289] The terms "first," "second," etc., are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number or order of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified. Furthermore, the terms "comprising," "including," and "having," and any variations thereof, are intended to cover non-exclusive inclusion. As used in this application, the term "and / or" includes any and all combinations of one or more of the associated listed items, and the phrase "at least one of A and B" means only A, only B, or both A and B. It should be understood that in this specification, the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "height," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship or dimensions based on the orientation or positional relationship or dimensions shown in the accompanying drawings. These terms are used only for ease of description and are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the scope of protection of this disclosure.
[0290] 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 appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.
[0291] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.
[0292] The foregoing has provided a detailed description of a camera defrosting system control method, a camera defrosting system control device, an electronic device, and a computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods 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.
Claims
1. A control method for a camera defrosting system, characterized in that, The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control assembly connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The method includes: Obtain the environmental parameters detected by the sensor assembly; The dynamic defrosting threshold is determined based on the aforementioned environmental parameters; The target power regulation coefficient is determined based on the state of charge of the energy storage and control components and the operating state of the thermoelectric components. The heating component and the energy storage and control component are controlled based on the target power regulation coefficient, the dynamic defrosting threshold, and the environmental parameters.
2. The method according to claim 1, characterized in that, The sensor assembly includes: an ambient temperature sensor, a humidity sensor, a wind speed sensor, and a light sensor; the step of acquiring the environmental parameters detected by the sensor assembly includes: The ambient temperature detected by the ambient temperature sensor is obtained; The ambient humidity detected by the humidity sensor is obtained; Obtain the wind speed detected by the wind speed sensor; The light intensity detected by the light sensor is obtained; The ambient temperature, ambient humidity, wind speed, and light intensity are defined as environmental parameters.
3. The method according to claim 2, characterized in that, The step of determining the dynamic defrosting threshold based on the environmental parameters includes: The ambient temperature, ambient humidity, wind speed, and light intensity are combined to generate multidimensional features; Determine the dynamic defrosting threshold corresponding to the multidimensional features.
4. The method according to claim 1, characterized in that, The step of determining the target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component includes: The energy consumption status is determined based on the changing trend of the state of charge of the energy storage and control components. The base power regulation coefficient is determined based on the state of charge and the state of energy consumption. The additional coefficient is determined based on the operating status of the thermoelectric element assembly; The control power adjustment coefficient is determined by combining the basic power adjustment coefficient and the additional coefficient; Determine the extreme power adjustment coefficient based on the energy consumption state; The smaller of the control power adjustment coefficient and the extreme power adjustment coefficient is determined as the target power adjustment coefficient.
5. The method according to claim 2, characterized in that, The step of controlling the heating component and the energy storage and control component based on the target power regulation coefficient, the dynamic defrost threshold, and the environmental parameters includes: Based on the target power regulation coefficient, the energy storage and control component is controlled to supply energy to the heating component; The heating element is controlled to generate heat based on the dynamic defrost threshold and the environmental parameters.
6. The method according to claim 5, characterized in that, The step of controlling the heating component's heating based on the dynamic defrost threshold and the environmental parameters includes: The target heating time is determined based on the difference between the dynamic defrost threshold and the environmental parameters; Control the operation of the heating component to achieve the specified heating duration.
7. The method according to claim 6, characterized in that, The step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameters includes: Determine the difference between the dynamic defrost threshold and the environmental parameter, and determine the defrost reference temperature; Determine the reference heating time to heat to the defrost reference temperature; The first adjustable heating time is determined based on the magnitude of the reference heating time; The second adjustable heating time is determined based on the baseline heating time and the ambient temperature; The target heating time is determined by combining the baseline heating time, the first adjusted heating time, and the second adjusted heating time.
8. The method according to claim 7, characterized in that, The step of determining the target heating time based on the difference between the dynamic defrost threshold and the environmental parameters further includes: Get weather forecast information; The third adjustment heating duration is determined based on the aforementioned weather forecast information; The target heating time is determined by combining the baseline heating time, the first adjusted heating time, the second adjusted heating time, and the third adjusted heating time.
9. The method according to claim 1, characterized in that, The method includes: When the environmental parameters meet the preset charging conditions, the thermoelectric element assembly is controlled to operate.
10. A camera defrosting system control device, characterized in that, The camera defrosting system includes a thermoelectric element assembly located at the outer edge of the camera lens; a heating element located at the inner edge of the camera lens; a heat dissipation structure layer located between the thermoelectric element assembly and the heating element; a sensor assembly located at the edge of the camera lens; and an energy storage and control assembly connected to the thermoelectric element assembly and the heating element. The operating heat of the energy storage and control assembly is transferred to the thermoelectric element assembly through the heat dissipation structure layer. The heat dissipation structure layer is used to isolate the heating element and the thermoelectric element assembly when the heating element heats up. The thermoelectric element assembly is used to convert the operating heat to charge the energy storage and control assembly. The device includes: The acquisition module acquires the environmental parameters detected by the sensor components; A threshold determination module is used to determine a dynamic defrosting threshold based on the environmental parameters. A power determination module is used to determine a target power regulation coefficient based on the state of charge of the energy storage and control component and the operating state of the thermoelectric component. The control module is used to control the heating component and the energy storage and control component based on the target power adjustment coefficient, the dynamic defrosting threshold and the environmental parameters.
11. An electronic device, characterized in that, Including processor and memory, among which Memory, used to store computer programs; A processor is used to execute a program stored in a memory to implement the camera defrosting system control method according to any one of claims 1-10.
12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the camera defrosting system control method according to any one of claims 1-10.
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