Vehicle-mounted wireless charging cooling fan maximum rotating speed determination method, control method and vehicle

Abstract

The invention relates to the technical field of vehicles, in particular to a vehicle-mounted wireless charging cooling fan maximum rotating speed determination method, a control method and a vehicle, and the determination method comprises the following steps: determining that the maximum rotating speed of a vehicle-mounted wireless charging cooling fan is a preset value in response to a quiet scene mode in the vehicle; in response to the non-quiet scene mode in the vehicle and when the vehicle speed exceeds a preset threshold value, determining a first maximum rotating speed value according to the vehicle speed, determining a second maximum rotating speed value according to the sound pressure level of the environmental noise in the vehicle, and comparing the first maximum rotating speed value with the second maximum rotating speed value, the smaller value is taken as the maximum rotating speed of the vehicle-mounted wireless charging cooling fan; and in response to the non-quiet scene mode in the vehicle and when the vehicle speed is lower than the preset threshold value, determining a third maximum rotating speed value according to the sound pressure level of the environmental noise in the vehicle, and taking the third maximum rotating speed value as the maximum rotating speed of the vehicle-mounted wireless charging cooling fan. The influence of fan noise on the environment in a vehicle can be minimized.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular to a method for determining the maximum speed of an in-vehicle wireless charging cooling fan, a control method, and a vehicle. Background Art

[0002] In the prior art, active cooling solutions, i.e., cooling fans, are commonly used in in-vehicle wireless charging devices, and there are the following problems:

[0003] 1. Conflict between noise and cooling efficiency: When wireless charging at high power (such as above 40W), the fan needs to rotate at a high speed for cooling, resulting in significant noise.

[0004] 2. Single control dimension: In related technologies, the fan speed is adjusted only depending on a single parameter such as temperature, vehicle speed, or charging power, without comprehensively considering the in-vehicle acoustic environment and the actual in-vehicle scene mode;

[0005] 3. Lack of dynamic adaptability: Existing solutions are difficult to dynamically adjust the noise suppression strategy according to real-time scenarios (such as user calls, navigation voice playback). Summary of the Invention

[0006] The object of the present invention is to provide a method for determining the maximum speed of an in-vehicle wireless charging cooling fan, a control method, and a vehicle, which can minimize the impact of fan noise on the in-vehicle environment while ensuring the cooling requirements of the wireless charging module, and at the same time optimize energy efficiency and hardware reliability, significantly improving the comprehensive experience of users in different driving scenarios.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] In a first aspect, the present invention discloses a method for determining the maximum speed of an in-vehicle wireless charging cooling fan, which includes:

[0009] When the in-vehicle is in a quiet scene mode, determining that the maximum speed of the in-vehicle wireless charging cooling fan is a preset value;

[0010] When the in-vehicle is in a non-quiet scene mode and the vehicle speed exceeds a preset threshold, determining a first maximum speed value based on the vehicle speed, determining a second maximum speed value based on the sound pressure level of the in-vehicle environmental noise, comparing the first maximum speed value and the second maximum speed value, and taking the smaller value of the two as the maximum speed of the in-vehicle wireless charging cooling fan;

[0011] When the in-vehicle is in a non-quiet scene mode and the vehicle speed is lower than a preset threshold, determining a third maximum speed value based on the sound pressure level of the in-vehicle environmental noise, and taking the third maximum speed value as the maximum speed of the in-vehicle wireless charging cooling fan.

[0012] Further, determining the first maximum rotational speed value based on the vehicle speed specifically includes: obtaining a first relative relationship between the vehicle speed and the maximum rotational speed of the in-vehicle wireless charging cooling fan, collecting the vehicle speed at the current moment, and determining the first maximum rotational speed value based on the vehicle speed and the first relative relationship.

[0013] Further, determining the second maximum rotational speed value based on the sound pressure level of the in-vehicle ambient noise or determining the third maximum rotational speed value based on the sound pressure level of the in-vehicle ambient noise specifically includes:

[0014] Determining the maximum sound pressure level of the in-vehicle wireless charging cooling fan based on the sound pressure level of the in-vehicle ambient noise;

[0015] Obtaining a second relative relationship between the maximum sound pressure level and the maximum rotational speed of the in-vehicle wireless charging cooling fan;

[0016] Determining the second maximum rotational speed value or the third maximum rotational speed value based on the maximum sound pressure level of the in-vehicle wireless charging cooling fan and the second relative relationship.

[0017] Further, it further includes: after determining the maximum sound pressure level of the in-vehicle wireless charging cooling fan based on the sound pressure level of the in-vehicle ambient noise, performing a spectrum analysis on the in-vehicle ambient noise;

[0018] In response to the in-vehicle ambient noise being medium and low frequency, performing a positive correction on the maximum sound pressure level of the in-vehicle wireless charging cooling fan;

[0019] In response to the in-vehicle ambient noise being high frequency, performing a negative correction on the maximum sound pressure level of the in-vehicle wireless charging cooling fan.

[0020] Further, it further includes: in response to a vehicle mode switch, using a smooth transition algorithm to achieve a gradual transition of the maximum rotational speed of the in-vehicle wireless charging cooling fan, avoiding step noise.

[0021] In a second aspect, the present invention discloses a control method for an in-vehicle wireless charging cooling fan, which includes:

[0022] Determining the heat dissipation power requirement based on the real-time temperature of the in-vehicle wireless charging module or the charging device;

[0023] According to the heat dissipation power requirement, combining with the performance curve of the cooling fan to determine the corresponding target rotational speed;

[0024] Using the above method for determining the maximum rotational speed of the in-vehicle wireless charging cooling fan to obtain the maximum rotational speed of the in-vehicle wireless charging cooling fan, comparing the target rotational speed with the maximum rotational speed, and taking the smaller value of the two as the actual output rotational speed of the cooling fan.

[0025] Further, it further includes: if the target rotational speed is greater than the maximum rotational speed, starting the auxiliary heat dissipation module.

[0026] Furthermore, it further includes: predicting the temperature change trend of the in-vehicle wireless charging module or the charging device within a preset future duration based on the historical temperature data of the in-vehicle wireless charging module or the charging device and a machine learning model; and adjusting the rotation speed curve of the in-vehicle wireless charging cooling fan according to the prediction result to avoid noise fluctuations caused by frequent start and stop of the fan.

[0027] In a third aspect, the present invention discloses a vehicle, which includes a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle executes the above-mentioned method for determining the maximum rotation speed of the in-vehicle wireless charging cooling fan.

[0028] In a fourth aspect, the present invention discloses a vehicle, which includes a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle executes the above-mentioned method for controlling the in-vehicle wireless charging cooling fan.

[0029] The present invention has the following unexpected beneficial effects:

[0030] 1. By distinguishing between a quiet scenario and a non-quiet scenario, the present invention realizes differential control. In the quiet scenario, the low rotation speed is fixed, that is, the maximum rotation speed of the in-vehicle wireless charging cooling fan is determined as a preset value to ensure a quiet environment inside the vehicle. In the non-quiet scenario, it is dynamically adjusted in combination with the vehicle speed and the ambient noise to avoid the fan noise becoming the main interference source. And in the non-quiet scenario, when the vehicle speed is relatively high (wind noise dominates), in combination with the vehicle speed (reflecting the wind noise / tire noise level) and the ambient noise (reflecting other noise sources), the corresponding maximum rotation speed values are respectively determined, and then the smaller value of the two is taken as the maximum rotation speed of the in-vehicle wireless charging cooling fan, which not only allows the fan to increase the speed appropriately to enhance heat dissipation, but also avoids excessive rotation speed resulting in abrupt noise. Through the cross-verification of the vehicle speed and the ambient noise (such as taking the smaller value at high speed), it is prevented that a single parameter leads to too high a rotation speed. In the non-quiet scenario, when the vehicle speed is relatively low, it is adjusted only according to the ambient noise to accurately match the current noise tolerance, ensuring the balance between the heat dissipation efficiency and the noise perception.

[0031] 2. Through hierarchical scenario judgment and multi-parameter collaborative control, the present invention covers the full working conditions from static to dynamic, and from low noise to high noise. On the premise of ensuring the heat dissipation requirements of the wireless charging module, it minimizes the impact of the fan noise on the vehicle interior environment, while optimizing the energy efficiency and hardware reliability, and significantly improves the comprehensive experience of users in different driving scenarios. Its core value lies in solving the inherent contradiction between the noise and performance of the heat dissipation system in a low-cost and highly adaptable manner.

[0032] 3. The method for determining the maximum rotation speed and the control method of the in-vehicle wireless charging cooling fan of the present invention do not require complex hardware upgrades. It only relies on existing in-vehicle sensors (such as vehicle speed sensors, microphones) to collect data, without the need to additionally add high-cost equipment. The solution is easy to integrate into the existing in-vehicle system. And decisions can be made through rule logic (non-deep learning model), reducing the occupation of computing resources and being suitable for deployment on in-vehicle embedded platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0034] Figure 1 The flowchart of the method for determining the maximum rotation speed of the in-vehicle wireless charging cooling fan provided by the embodiment of the present invention is shown.

[0035] Figure 2 The flowchart of an alternative embodiment of the method for determining the maximum rotation speed of the in-vehicle wireless charging cooling fan provided by the embodiment of the present invention is shown.

[0036] Figure 3 The flowchart of another alternative embodiment of the method for determining the maximum rotation speed of the in-vehicle wireless charging cooling fan provided by the embodiment of the present invention is shown.

[0037] Figure 4 The flowchart of another alternative embodiment of the method for determining the maximum rotation speed of the in-vehicle wireless charging cooling fan provided by the embodiment of the present invention is shown.

[0038] Figure 5 The schematic flowchart of the control method of the in-vehicle wireless charging cooling fan according to the embodiment of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] Hereinafter, the embodiments of the present invention will be described with reference to the drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0040] In one embodiment, the present invention provides a method for determining the maximum rotation speed of an in-vehicle wireless charging cooling fan, which includes:

[0041] When the in-vehicle is in the quiet scene mode, determine that the maximum speed of the in-vehicle wireless charging cooling fan is a preset value.

[0042] When the in-vehicle is in a non-quiet scene mode and the vehicle speed exceeds a preset threshold, determine a first maximum speed value based on the vehicle speed, determine a second maximum speed value based on the sound pressure level of the in-vehicle ambient noise, compare the first maximum speed value and the second maximum speed value, and take the smaller value of the two as the maximum speed of the in-vehicle wireless charging cooling fan.

[0043] When the in-vehicle is in a non-quiet scene mode and the vehicle speed is lower than a preset threshold, determine a third maximum speed value based on the sound pressure level of the in-vehicle ambient noise, and use the third maximum speed value as the maximum speed of the in-vehicle wireless charging cooling fan.

[0044] The present invention realizes differential control by distinguishing between the quiet scene and the non-quiet scene. In the quiet scene, a fixed low speed is set, that is, the maximum speed of the in-vehicle wireless charging cooling fan is determined as a preset value to ensure a quiet in-vehicle environment. In the non-quiet scene, it is dynamically adjusted in combination with the vehicle speed and the ambient noise to prevent the fan noise from becoming the main interference source. And in the non-quiet scene, when the vehicle speed is relatively high (wind noise dominates), in combination with the vehicle speed (reflecting the wind noise / tire noise level) and the ambient noise (reflecting other noise sources), the corresponding maximum speed values are respectively determined, and then the smaller value of the two is taken as the maximum speed of the in-vehicle wireless charging cooling fan, which not only allows the fan to increase the speed appropriately to enhance heat dissipation, but also avoids excessive speed resulting in abrupt noise. Through the cross-verification of the vehicle speed and the ambient noise (such as taking the smaller value at high speed), it is prevented that a single parameter leads to too high a speed. In the non-quiet scene, when the vehicle speed is low, it is adjusted only according to the ambient noise to accurately match the current noise tolerance, ensuring the balance between heat dissipation efficiency and noise perception.

[0045] The present invention covers the full working conditions from static to dynamic, from low noise to high noise through hierarchical scene judgment and multi-parameter collaborative control. On the premise of ensuring the heat dissipation requirements of the wireless charging module, it minimizes the impact of fan noise on the in-vehicle environment, while optimizing energy efficiency and hardware reliability, and significantly improves the comprehensive experience of users in different driving scenarios. Its core value lies in solving the inherent contradiction between the noise and performance of the heat dissipation system in a low-cost and highly adaptable manner.

[0046] Specifically, as shown in Figure 1 shown, the specific steps are as follows:

[0047] S1. Identify the in-vehicle scene mode. When the in-vehicle is in the quiet scene mode, execute S2; when the in-vehicle is in the non-quiet scene mode, execute S3.

[0048] S2. Determine that the maximum speed of the in-vehicle wireless charging cooling fan is a preset value. Under the quiet scene mode, the maximum speed of the fan is forcibly restricted (e.g., ≤2500 rpm) to control the noise generated by the cooling fan below the preset threshold, so as to avoid interfering with the conversation or rest of passengers. And since the preset value is directly adopted in the quiet scene without the need to process complex algorithms in real time, it reduces the occupancy of in-vehicle ECU resources and improves the system reliability. The preset value is usually verified through bench tests, which can not only meet the basic heat dissipation requirements but also leave a safety margin to cope with sudden loads.

[0049] S3. Collect the vehicle speed and determine whether the vehicle speed exceeds the preset threshold. If so, execute S4; if not, execute S5.

[0050] S4. Determine the first maximum speed value according to the vehicle speed, determine the second maximum speed value according to the sound pressure level of the in-vehicle ambient noise, compare the first maximum speed value and the second maximum speed value, and take the smaller value of the two as the maximum speed of the in-vehicle wireless charging cooling fan. The vehicle speed can reflect the wind noise / tire noise level, and the ambient noise can reflect other noise sources. The minimum value strategy avoids misjudgment caused by a single sensor failure. For example, when the vehicle speed sensor is abnormal, it can still be adjusted through the noise data.

[0051] S5. Determine the third maximum speed value according to the sound pressure level of the in-vehicle ambient noise, and use the third maximum speed value as the maximum speed of the in-vehicle wireless charging cooling fan. Adjust the speed only according to the ambient noise to ensure that in a quiet environment sensitive to passengers, the fan noise dynamically matches the heat dissipation requirements. For example, a higher speed is allowed when music is playing in the vehicle, and the speed is automatically reduced during a call. And without the vehicle speed data, the algorithm logic is simplified.

[0052] Exemplarily, the quiet scene mode includes a call scene and a rest scene. The call scene is comprehensively determined by the actions, facial expressions and language of the in-vehicle occupants, or when the vehicle head unit enters the Bluetooth call mode, it is determined that the in-vehicle scene is a call scene. The rest scene can also be determined by the actions of the in-vehicle occupants, or when the vehicle head unit enters the rest mode or the sleep mode, it is determined that the in-vehicle scene is a rest scene.

[0053] As a preferred implementation manner of the embodiment of the present invention, specifically including determining the first maximum speed value according to the vehicle speed: Refer to Figure 2 As shown, obtain the first relative relationship between the vehicle speed and the maximum speed of the in-vehicle wireless charging cooling fan, collect the vehicle speed at the current moment, and determine the first maximum speed value according to the vehicle speed and the first relative relationship.

[0054] Among them, the determination of the first relative relationship includes:

[0055] The temperature rise curve of the wireless charging module at different vehicle speeds (60 - 120 km / h) is obtained through bench tests, and the fan speed and charging efficiency data are synchronously recorded. The mapping relationship between the vehicle speed (V) and the first maximum speed value (N 1 ) is established by using the piecewise linear interpolation method. Exemplarily, N 1 = 6000 + 50×(V - 60), where N 1 is the first maximum speed value, with the unit of rpm; V is the vehicle speed at the current moment, with the unit of km / h.

[0056] As a preferred implementation manner of the embodiment of the present invention, determining the second maximum speed value or the third maximum speed value according to the sound pressure level of the in-vehicle environmental noise specifically includes: Refer to Figure 3 As shown, the maximum sound pressure level of the in-vehicle wireless charging cooling fan is determined according to the sound pressure level of the in-vehicle environmental noise; the second relative relationship between the maximum sound pressure level and the maximum speed of the in-vehicle wireless charging cooling fan is obtained; the second maximum speed value or the third maximum speed value is determined according to the maximum sound pressure level of the in-vehicle wireless charging cooling fan and the second relative relationship.

[0057] This solution controls the fan noise precisely below the environmental masking threshold through real-time sound pressure level feedback control. When the environmental noise increases (such as driving with the window open), the fan is allowed to increase its speed. For example: when playing music in the vehicle (noise sound pressure level > 60 dB), the fan noise sound pressure level is allowed to increase to 55 dB. If the in-vehicle environment is quiet (noise < 40 dB), the fan noise is restricted to ≤ 35 dB.

[0058] Exemplarily, the relationship between the sound pressure level L env of the in-vehicle environmental noise and the maximum sound pressure level L fan_base of the in-vehicle wireless charging cooling fan is: L fan_base = L env - 5 dB. For example: if the in-vehicle environmental noise is 60 dB, the upper limit of the allowable noise of the cooling fan is 55 dB.

[0059] It should be noted that if the in-vehicle environmental noise collected by the microphone includes the noise of the cooling fan itself, it may cause deviation in the calculation of the environmental masking threshold. In this embodiment, the following solution is adopted to solve the problem that the in-vehicle environmental noise collected by the microphone includes the noise of the cooling fan itself.

[0060] Solution 1: Hardware-level noise separation is adopted, that is, two microphones (including a near-field microphone and a far-field microphone) are arranged to collect noise data respectively. The near-field microphone is installed near the fan air outlet to collect the operating noise S fan of the cooling fan. The far-field microphone is installed on the vehicle roof to collect the total environmental noise S mic . Then the actual in-vehicle environmental noise Senv = S mic -α × S fan where α is the attenuation coefficient, which is determined by a calibration experiment (such as 0.8 - 0.95).

[0061] Solution 2: Adopt algorithm - level noise compensation, which specifically includes the following steps:

[0062] 1) Frequency - domain feature extraction: Analyze the noise spectrum through FFT to identify the characteristic frequency of the cooling fan N is the number of blades, and RPM is the rotational speed of the cooling fan. Filter the energy within the range of f fan ±Δf and reconstruct the ambient noise spectrum in the frequency domain.

[0063] 2) Time - domain adaptive filtering: Based on the rotational speed of the cooling fan (the PWM signal is known), generate a reference noise signal S fan_ref and use the LMS algorithm to cancel the fan component in the microphone signal in real time.

[0064] The LMS algorithm, full name Least Mean Squares algorithm, is an iterative adaptive filtering algorithm mainly used in the field of signal processing. This algorithm continuously adjusts the coefficients of the filter to minimize the mean square value of the error between the output signal and the desired signal. Its core idea is based on the gradient - descent method. By calculating the gradient of the current output error, the filter coefficients are adjusted to gradually reduce the error until the optimal state is reached. The LMS algorithm is widely used in fields such as noise cancellation, system identification, and channel equalization. Although its convergence speed is slow, it has the advantages of small computational complexity and simple implementation, so it is widely used in real - time processing and embedded systems.

[0065] Furthermore, as shown in Figure 4 The method for determining the maximum rotational speed of the in - vehicle wireless charging cooling fan of the present invention further includes: After determining the maximum sound pressure level of the in - vehicle wireless charging cooling fan based on the sound pressure level of the in - vehicle ambient noise, perform a spectrum analysis on the in - vehicle ambient noise. Specifically, use signal - processing techniques, such as the fast Fourier transform (FFT), to process the in - vehicle ambient noise signal, convert the time - domain signal into a frequency - domain signal, and thus analyze its frequency components and energy distribution. Generally, the frequency range is divided into three frequency bands: low - frequency (for example, 20 Hz - 500 Hz), medium - frequency (500 Hz - 2 kHz), and high - frequency (2 kHz - 20 kHz).

[0066] In response to the in - vehicle ambient noise being medium - and low - frequency, positively correct the maximum sound pressure level of the in - vehicle wireless charging cooling fan; this means that the maximum sound pressure level limit of the fan can be appropriately increased, thereby allowing the fan to operate at a higher rotational speed to enhance the heat - dissipation effect.

[0067] In response to high-frequency in-vehicle environmental noise, a negative correction is made to the maximum sound pressure level of the in-vehicle wireless charging cooling fan. That is, the maximum sound pressure level limit of the fan is reduced, so that the fan operates at a lower speed, reducing the interference of the high-frequency noise generated by the fan on the in-vehicle environment.

[0068] Medium- and low-frequency noises have a wider masking bandwidth and can more effectively mask the noise generated by the fan. Therefore, under medium- and low-frequency in-vehicle environmental noise conditions, increasing the sound pressure level of the fan will not significantly increase the overall noise perception in the vehicle; while the masking bandwidth of high-frequency noise is relatively narrow, reducing the high-frequency noise of the fan can prevent its superposition with environmental high-frequency noise, resulting in enhanced noise perception.

[0069] In medium- and low-frequency in-vehicle environmental noise scenarios, by positive correction, the fan is allowed to operate at a higher speed, which can enhance the heat dissipation effect, ensure that the in-vehicle wireless charging module works within a suitable temperature range, and improve the charging efficiency and the reliability of the module. In high-frequency in-vehicle environmental noise scenarios, negative correction reduces the sound pressure level of the fan, reducing the interference of the high-frequency noise generated by the fan on the in-vehicle environment, enabling passengers to feel a quieter and more comfortable acoustic environment in the vehicle. This method can dynamically adjust the maximum sound pressure level of the fan according to the spectral characteristics of the in-vehicle environmental noise, enabling the operation of the fan to not only meet the heat dissipation requirements but also adapt to different in-vehicle acoustic environments, improving the flexibility and adaptability of the system.

[0070] Exemplarily, if the energy ratio of medium- and low-frequency (20 Hz - 2 kHz) in the environmental noise > 70% (such as music sound), then the maximum rotational speed L of the corrected cooling fan fan_max = L fan_base + 3 dB, L fan_base = L env - 5 dB; that is, the high-frequency noise of the fan is allowed to increase moderately.

[0071] If the energy ratio of high-frequency (2 kHz - 8 kHz) in the environmental noise > 50% (such as navigation voice), then the maximum rotational speed L of the corrected cooling fan fan_max = L fan_base - 3 dB, strictly restricting the high-frequency noise of the fan to avoid perceivable interference caused by superposition with the voice frequency band.

[0072] Necessity of spectral correction: At the same in-vehicle environmental noise decibel value, relying only on the total sound pressure level may lead to: over-restricting the heat dissipation capacity in the music scenario (higher noise is actually allowable); in the voice scenario, the fan noise interferes with the speech clarity. After introducing spectral correction, the subjective complaint rate of users about the fan noise decreases by 42%.

[0073] As a preferred implementation manner of the embodiment of the present invention, it further includes: in response to in-vehicle mode switching, a smooth transition algorithm is adopted to achieve a gradual transition of the maximum rotational speed of the in-vehicle wireless charging cooling fan, avoiding step noise.

[0074] The smooth transition algorithm avoids sudden changes in the fan speed, thereby reducing the generation of step noise and enhancing the acoustic comfort inside the vehicle. Moreover, the gradual transition of the cooling fan speed can also reduce the impact on the fan motor, extend the service life of the motor, and improve the stability of the entire cooling system. At the same time, the smooth speed change allows users not to feel obvious noise changes when switching vehicle modes, enhancing user satisfaction with the vehicle.

[0075] Exemplarily, the smooth transition algorithm includes a linear gradient algorithm and a non-linear gradient algorithm.

[0076] Specifically, linear gradient is a simple and effective smooth transition method. Let the current maximum fan speed be N current , and the target maximum speed be N target , the transition time be T (in seconds), and the sampling interval be Δt (in seconds). Within each sampling interval, the change in speed ΔN is:

[0077] Update the current speed at each sampling moment: is the maximum speed of the cooling fan at the start of sampling, is the maximum speed of the cooling fan at the end of sampling.

[0078] To make the transition more natural, a non-linear gradient algorithm such as exponential gradient can also be used. Let the current maximum fan speed be N current , and the target maximum speed be N target , the transition time be T (in seconds), and the sampling interval be Δt (in seconds). The exponential gradient formula is as follows:

[0079]

[0080] where τ is the time constant used to control the speed of the gradient, is the maximum speed of the cooling fan at the start of sampling, is the maximum speed of the cooling fan at the end of sampling.

[0081] In one embodiment, the present invention discloses a method for controlling a vehicle-mounted wireless charging cooling fan. Referring to Figure 2 as shown, it includes:

[0082] Determine the heat dissipation power requirement based on the real-time temperature of the in-vehicle wireless charging module or the charging device. Generally, the higher the temperature, the greater the required heat dissipation power. A mapping table or functional relationship between temperature and heat dissipation power requirement can be established in advance through experiments or theoretical calculations. Exemplarily, the functional relationship between temperature and heat dissipation power requirement is linearly correlated, i.e., P = k(T1 - T0), where P is the heat dissipation power requirement, T1 is the real-time temperature, T0 is the set reference temperature, and k is the proportionality coefficient.

[0083] According to the heat dissipation power requirement, determine the corresponding target speed in combination with the performance curve of the cooling fan. The performance curve of the cooling fan describes the relationship between the speed of the cooling fan and the heat dissipation power. The corresponding target speed can be found according to the heat dissipation power requirement by querying the performance curve table or using a fitting function.

[0084] Use the above method for determining the maximum speed of the in-vehicle wireless charging cooling fan to obtain the maximum speed of the in-vehicle wireless charging cooling fan. Compare the target speed with the maximum speed, and take the smaller value of the two as the actual output speed of the cooling fan. With this setting, it is possible to ensure that the noise of the cooling fan does not exceed the acceptable range while meeting the heat dissipation requirements.

[0085] As a preferred implementation manner of the embodiment of the present invention, the method for controlling the in-vehicle wireless charging cooling fan further includes: if the target speed is greater than the maximum speed, start the auxiliary heat dissipation module. The auxiliary heat dissipation module is at least one of an additional heat sink and a liquid cooling system. By increasing the heat dissipation path, the heat dissipation efficiency is improved, ensuring the normal operation of the charging module. At the same time, it avoids the problem of excessive noise caused by over-increasing the fan speed to meet the heat dissipation requirements, and maintains a good acoustic environment in the vehicle.

[0086] With this setting, when the target speed exceeds the maximum speed, starting the auxiliary heat dissipation module can improve the overall heat dissipation capacity without increasing the fan noise. In the case of high temperature or high-load charging, relying solely on the fan may not be able to effectively dissipate heat. Starting the auxiliary heat dissipation module can enhance the reliability of the thermal management system, prevent the charging module from being damaged due to overheating, and improve the reliability and stability of the entire in-vehicle wireless charging system.

[0087] As a preferred implementation manner of the embodiment of the present invention, the method for controlling the in-vehicle wireless charging cooling fan further includes: based on the historical temperature data of the in-vehicle wireless charging module or the charging device and a machine learning model, predict the temperature change trend of the in-vehicle wireless charging module or the charging device within a preset future duration; according to the prediction result, adjust the speed curve of the in-vehicle wireless charging cooling fan to avoid noise fluctuations caused by frequent start and stop of the fan.

[0088] By predicting the temperature change trend in advance and adjusting the fan speed curve, the present invention avoids frequent start-stop of the fan, effectively reduces noise fluctuations, and improves the comfort inside the vehicle. The stable fan speed helps reduce the wear of the fan motor, extends the service life of the fan, and improves the stability of the entire heat dissipation system. It can also avoid unnecessary high-speed operation and reduce energy consumption.

[0089] Specifically, this preferred embodiment includes the following steps:

[0090] Step 1, data collection and preprocessing.

[0091] Data collection: Continuously collect the historical temperature data of the in-vehicle wireless charging module or charging device, and at the same time record the corresponding timestamps, charging power, in-vehicle ambient temperature and other relevant factors that may affect the temperature.

[0092] Data preprocessing: Clean the collected data to remove outliers and missing values. Normalize the data to ensure that different features have the same scale, which is convenient for the machine learning model to train.

[0093] Step 2, machine learning model selection and training.

[0094] Model selection: Select a suitable machine learning model, such as recurrent neural network (RNN) and its variants long short-term memory network (LSTM), gated recurrent unit (GRU), etc. These models perform well in processing sequence data and can capture the time series characteristics of temperature data.

[0095] Model training: Divide the preprocessed historical data into a training set and a validation set, use the training set to train the model, and adjust the hyperparameters of the model through the validation set to improve the prediction accuracy of the model.

[0096] Step 3, prediction of temperature change trend.

[0097] Use the trained machine learning model to predict the temperature change trend of the in-vehicle wireless charging module or charging device within a preset future duration according to the current temperature data and relevant features.

[0098] Step 4, adjustment of the speed curve.

[0099] According to the prediction result of the temperature change trend, adjust the speed curve of the in-vehicle wireless charging cooling fan. If it is predicted that the temperature will rise, appropriately increase the fan speed in advance; if it is predicted that the temperature will drop, gradually reduce the fan speed to avoid frequent start-stop of the fan.

[0100] In one embodiment, the present invention further discloses a vehicle, which includes a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle is caused to execute the above-mentioned method for determining the maximum speed of the in-vehicle wireless charging cooling fan.

[0101] In one embodiment, the present invention further discloses a vehicle, which includes a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle is caused to execute the above-mentioned method for controlling the in-vehicle wireless charging cooling fan.

[0102] The above embodiments are only preferred embodiments given to fully illustrate the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or transformations made by those skilled in the art on the basis of the present invention are within the protection scope of the present invention.

Claims

1. A method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan, characterized in that: include: In response to the vehicle being in a quiet scene mode, determining that the maximum speed of the vehicle-mounted wireless charging cooling fan is a preset value; In response to the vehicle being in a non-quiet scene mode and the vehicle speed exceeding a preset threshold, a first maximum speed value is determined according to the vehicle speed, a second maximum speed value is determined according to the sound pressure level of the ambient noise in the vehicle, the first maximum speed value and the second maximum speed value are compared, and the smaller value of the two is taken as the maximum speed of the vehicle-mounted wireless charging cooling fan; In response to the vehicle interior being in a non-quiet scene mode and the vehicle speed being lower than a preset threshold, a third maximum speed value is determined based on the sound pressure level of the ambient noise in the vehicle, and the third maximum speed value is used as the maximum speed of the vehicle-mounted wireless charging cooling fan.

2. The method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan according to claim 1, characterized in that: Determining the first maximum speed value according to the vehicle speed specifically includes: obtaining a first relative relationship between the vehicle speed and the maximum speed of the on-board wireless charging cooling fan, collecting the vehicle speed at the current moment, and determining the first maximum speed value according to the vehicle speed and the first relative relationship.

3. The method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan according to claim 1, characterized in that: Determining the second maximum speed value according to the sound pressure level of the ambient noise in the vehicle or determining the third maximum speed value according to the sound pressure level of the ambient noise in the vehicle specifically includes: Determine the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan based on the sound pressure level of the ambient noise in the vehicle; Obtaining a second relative relationship between a maximum sound pressure level and a maximum rotation speed of the vehicle-mounted wireless charging cooling fan; The second maximum speed value or the third maximum speed value is determined according to the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan and the second relative relationship.

4. The method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan according to claim 3, characterized in that: The method also includes: determining the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan according to the sound pressure level of the vehicle-mounted environmental noise, and performing spectrum analysis on the vehicle-mounted environmental noise; In response to the low and medium frequency of the ambient noise in the vehicle, a positive correction is made to the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan; In response to the in-vehicle ambient noise being high frequency, a negative correction is performed on the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan.

5. The method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan according to claim 1, characterized in that: Also includes: In response to the in-vehicle mode switching, a smooth transition algorithm is used to achieve a gradual transition of the maximum speed of the vehicle-mounted wireless charging cooling fan to avoid step noise.

6. A vehicle-mounted wireless charging cooling fan control method, characterized in that: include: Determine the heat dissipation power requirement based on the real-time temperature of the vehicle-mounted wireless charging module or charging device; Determine the corresponding target speed according to the heat dissipation power requirement and the performance curve of the heat dissipation fan; The maximum speed of the vehicle-mounted wireless charging cooling fan is obtained by using the method for determining the maximum speed of the vehicle-mounted wireless charging cooling fan as described in any one of claims 1 to 5, the target speed is compared with the maximum speed, and the smaller value of the two is taken as the actual output speed of the cooling fan.

7. The vehicle-mounted wireless charging cooling fan control method according to claim 6, characterized in that: Also includes: If the target rotation speed is greater than the maximum rotation speed, the auxiliary heat dissipation module is started.

8. The vehicle-mounted wireless charging cooling fan control method according to claim 6, characterized in that: Also includes: Based on the historical temperature data of the vehicle-mounted wireless charging module or charging device and the machine learning model, the temperature change trend of the vehicle-mounted wireless charging module or charging device within a preset time period in the future is predicted; based on the prediction result, the speed curve of the vehicle-mounted wireless charging cooling fan is adjusted to avoid noise fluctuations caused by frequent starting and stopping of the fan.

9. A vehicle, characterized in that: It includes a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle executes the method for determining the maximum speed of the vehicle-mounted wireless charging cooling fan as described in any one of claims 1 to 5.

10. A vehicle, characterized in that: It comprises a processor and a memory; the memory stores one or more programs, and when the one or more programs are executed by the processor, the vehicle executes the vehicle-mounted wireless charging cooling fan control method as described in any one of claims 6 to 8.

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