Method for determining maximum rotating speed of vehicle-mounted wireless charging cooling fan, control method and vehicle

Abstract

The present application relates to the technical field of vehicles, in particular to a method for determining the maximum rotating speed of a vehicle-mounted wireless charging cooling fan, a control method and a vehicle, the determining method comprising: in response to a quiet scene mode in the vehicle, determining that the maximum rotating speed of the vehicle-mounted wireless charging cooling fan is a preset value; in response to a non-quiet scene mode in the vehicle and a vehicle speed exceeding a preset threshold, 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 ambient noise in the vehicle, comparing the first maximum rotating speed value and the second maximum rotating speed value, and taking the smaller one as the maximum rotating speed of the vehicle-mounted wireless charging cooling fan; in response to a non-quiet scene mode in the vehicle and a vehicle speed lower than the preset threshold, determining a third maximum rotating speed value according to the sound pressure level of the ambient 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 present application can minimize the influence of fan noise on the vehicle environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle-mounted wireless charging cooling fan maximum speed determination method, a control method and a vehicle. BACKGROUND

[0002] In the prior art, vehicle-mounted wireless charging devices generally adopt an active cooling scheme, i.e., a cooling fan, which has the following problems:

[0003] 1. Conflict between noise and cooling efficiency: When high-power (such as 40W or more) wireless charging is performed, the fan needs to rotate at a high speed for cooling, which significantly increases the noise.

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

[0005] 3. Lack of dynamic adaptability: The existing scheme is difficult to dynamically adjust the noise suppression strategy according to real-time scenes (such as user conversation and navigation voice playback). SUMMARY

[0006] The present application aims to provide a vehicle-mounted wireless charging cooling fan maximum speed determination method, a control method and a vehicle, which can minimize the impact of fan noise on the in-vehicle environment while ensuring the cooling needs of the wireless charging module, optimize energy efficiency and hardware reliability, and significantly improve the comprehensive experience of users in different driving scenarios.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows:

[0008] In a first aspect, the present application discloses a vehicle-mounted wireless charging cooling fan maximum speed determination method, which comprises:

[0009] In response to the in-vehicle scene mode being a quiet scene mode, determining the maximum speed of the vehicle-mounted wireless charging cooling fan as a preset value;

[0010] In response to the in-vehicle scene mode being a non-quiet scene mode and the vehicle speed being higher than a preset threshold, determining a first maximum speed value according to the vehicle speed and a second maximum speed value according to 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 one as the maximum speed of the vehicle-mounted wireless charging cooling fan;

[0011] In response to the in-vehicle scene mode being a non-quiet scene mode and the vehicle speed being lower than the preset threshold, determining a third maximum speed value according to the sound pressure level of the in-vehicle environmental noise, and taking the third maximum speed value as the maximum speed of the vehicle-mounted wireless charging cooling fan.

[0012] Further, the first maximum speed value determined according to the vehicle speed specifically comprises: obtaining a first relative relationship between the vehicle speed and the maximum speed of the vehicle wireless charging cooling fan, collecting the vehicle speed at the current time, and determining the first maximum speed value according to the vehicle speed and the first relative relationship.

[0013] Further, the second maximum speed value determined according to the sound pressure level of the vehicle interior environmental noise or the third maximum speed value determined according to the sound pressure level of the vehicle interior environmental noise specifically comprises:

[0014] determining the maximum sound pressure level of the vehicle wireless charging cooling fan according to the sound pressure level of the vehicle interior environmental noise;

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

[0016] determining the second maximum speed value or the third maximum speed value according to the maximum sound pressure level of the vehicle wireless charging cooling fan and the second relative relationship.

[0017] Further, the method further comprises: after determining the maximum sound pressure level of the vehicle wireless charging cooling fan according to the sound pressure level of the vehicle interior environmental noise, performing frequency spectrum analysis on the vehicle interior environmental noise;

[0018] positively correcting the maximum sound pressure level of the vehicle wireless charging cooling fan in response to the vehicle interior environmental noise being a medium or low frequency;

[0019] negatively correcting the maximum sound pressure level of the vehicle wireless charging cooling fan in response to the vehicle interior environmental noise being a high frequency.

[0020] Further, the method further comprises: in response to a vehicle mode switching, adopting a smooth transition algorithm to realize gradual transition of the maximum speed of the vehicle wireless charging cooling fan, so as to avoid step noise.

[0021] In a second aspect, the application discloses a vehicle wireless charging cooling fan control method, which comprises:

[0022] determining a cooling power requirement according to a real-time temperature of a vehicle wireless charging module or a charging device;

[0023] determining a corresponding target speed according to the cooling power requirement and a performance curve of the cooling fan;

[0024] determining the maximum speed of the vehicle wireless charging cooling fan by using the vehicle wireless charging cooling fan maximum speed determination method, comparing the target speed with the maximum speed, and taking the smaller one as an actual output speed of the cooling fan.

[0025] Further, the method further comprises: if the target speed is greater than the maximum speed, starting an auxiliary cooling module.

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

[0027] In a third aspect, the present application discloses a vehicle comprising a processor and a memory; the memory stores one or more programs, when the one or more programs are executed by the processor, the vehicle executes the vehicle-mounted wireless charging cooling fan maximum rotation speed determination method described above.

[0028] In a fourth aspect, the present application discloses a vehicle comprising a processor and a memory; the memory stores one or more programs, when the one or more programs are executed by the processor, the vehicle executes the vehicle-mounted wireless charging cooling fan control method described above.

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

[0030] 1. The present application realizes differentiated control by distinguishing between quiet scenes and non-quiet scenes. In the quiet scene, the fixed low rotation speed, i.e., the maximum rotation speed of the vehicle-mounted wireless charging cooling fan is a preset value, ensuring a quiet environment in the vehicle. In the non-quiet scene, dynamic adjustment is combined with vehicle speed and environmental noise to avoid the fan noise becoming the main interference source. And in the non-quiet scene, when the vehicle speed is high (wind noise dominant), the maximum rotation speed value is determined in combination with the vehicle speed (reflecting the wind noise / tire noise level) and the environmental noise (reflecting other noise sources), and the smaller value of the two is taken as the maximum rotation speed of the vehicle-mounted wireless charging cooling fan, which allows the fan to speed up appropriately to enhance cooling and avoids high rotation speed leading to sudden noise. Through cross verification of vehicle speed and environmental noise (such as taking the smaller value at high speed), it is prevented that a single parameter leads to high rotation speed. In the non-quiet scene, when the vehicle speed is low, only the environmental noise is adjusted to accurately match the current noise tolerance, ensuring the balance between cooling efficiency and noise perception.

[0031] 2. The present application covers all working conditions from static to dynamic and low noise to high noise through layered scene judgment and multi-parameter collaborative control, minimizes the influence of fan noise on the vehicle environment under the premise of ensuring the cooling demand of the wireless charging module, optimizes energy efficiency and hardware reliability, and significantly improves the comprehensive experience of users in different driving scenes. The core value lies in solving the inherent contradiction between noise and performance of the cooling system in a low-cost and highly adaptable way.

[0032] 3、The vehicle-mounted wireless charging heat dissipation fan maximum speed determination method and control method provided by the application do not need complex hardware upgrades, only rely on existing vehicle-mounted sensors (such as a vehicle speed sensor and a microphone) to realize data acquisition, do not need to additionally increase high-cost equipment, and are easy to integrate into an existing vehicle-mounted system. Moreover, the scheme can realize decision-making through rule logic (a non-deep learning model), reduces the occupation of computing resources, and is suitable for deployment on a vehicle-level embedded platform. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the specific embodiments of the application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application.

[0034] Figure 1 A flowchart of the vehicle-mounted wireless charging heat dissipation fan maximum speed determination method provided by the embodiment of the application is shown.

[0035] Figure 2 A flowchart of an optional embodiment of the vehicle-mounted wireless charging heat dissipation fan maximum speed determination method provided by the embodiment of the application is shown.

[0036] Figure 3 A flowchart of another optional embodiment of the vehicle-mounted wireless charging heat dissipation fan maximum speed determination method provided by the embodiment of the application is shown.

[0037] Figure 4 A flowchart of another optional embodiment of the vehicle-mounted wireless charging heat dissipation fan maximum speed determination method provided by the embodiment of the application is shown.

[0038] Figure 5 A flowchart of the vehicle-mounted wireless charging heat dissipation fan control method provided by the embodiment of the application is shown. DETAILED DESCRIPTION

[0039] The embodiments of the application will be described below with reference to the drawings and preferred embodiments, and those skilled in the art can easily understand other advantages and effects of the application from the content disclosed in the specification. The application can also be implemented or applied by means of other different specific embodiments, and each detail in the specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the application. It should be understood that the preferred embodiments are only for illustrating the application, and are not intended to limit the protection scope of the application.

[0040] In an embodiment, the application provides a vehicle-mounted wireless charging heat dissipation fan maximum speed determination method, which comprises:

[0041] In response to the quiet scene mode in the vehicle, the maximum rotating speed of the wireless charging cooling fan is determined as a preset value.

[0042] In response to the non-quiet scene mode in the vehicle and the vehicle speed exceeding a preset threshold, a first maximum rotating speed value is determined according to the vehicle speed, a second maximum rotating speed value is determined according to the sound pressure level of the environmental noise in the vehicle, the first maximum rotating speed value and the second maximum rotating speed value are compared, and the smaller one is taken as the maximum rotating speed of the wireless charging cooling fan.

[0043] In response to the non-quiet scene mode in the vehicle and the vehicle speed being lower than the preset threshold, a third maximum rotating speed value is determined according to the sound pressure level of the environmental noise in the vehicle, and the third maximum rotating speed value is taken as the maximum rotating speed of the wireless charging cooling fan.

[0044] The present application realizes differentiated control by distinguishing the quiet scene and the non-quiet scene. In the quiet scene, the fixed low rotating speed, i.e., the maximum rotating speed of the wireless charging cooling fan is determined as a preset value, ensures the quiet environment in the vehicle. In the non-quiet scene, the dynamic adjustment is combined with the vehicle speed and the environmental noise, avoiding the fan noise becoming the main interference source. And in the non-quiet scene, when the vehicle speed is high (the wind noise is dominant), the corresponding maximum rotating speed value is determined according to the vehicle speed (reflecting the wind noise / tire noise level) and the environmental noise (reflecting other noise sources), and the smaller one is taken as the maximum rotating speed of the wireless charging cooling fan, which allows the fan to speed up appropriately to enhance the cooling and avoids the noise being too high. Through the cross verification of the vehicle speed and the environmental noise (such as taking the smaller one at high speed), the single parameter leading to the too high rotating speed is prevented. In the non-quiet scene, when the vehicle speed is low, only the environmental noise is adjusted to accurately match the current noise tolerance, ensuring the balance between the cooling efficiency and the noise perception.

[0045] The present application realizes the layered scene judgment and the multi-parameter collaborative control, covers the full working conditions from static to dynamic and low noise to high noise, minimizes the influence of the fan noise on the vehicle environment under the premise of ensuring the cooling demand of the wireless charging module, optimizes the energy efficiency and hardware reliability, and significantly improves the comprehensive experience of the user in different driving scenes. The core value lies in solving the inherent contradiction between the noise and the performance of the cooling system in a low-cost and high-adaptive manner.

[0046] Specifically, referring to Figure 1 as shown, specifically comprising the following steps:

[0047] S1, identifying the scene mode in the vehicle, when the vehicle is in the quiet scene mode, then performing S2; when the vehicle is in the non-quiet scene mode, then performing S3.

[0048] S2, determine the maximum speed of the vehicle-mounted wireless charging cooling fan as a preset value. The maximum speed of the fan is forcibly limited (e.g., ≤2500 rpm) in the quiet scene mode, so that the noise emitted by the cooling fan is below a preset threshold, thereby avoiding interference with the conversation or rest of the passengers. Moreover, since the preset value is directly used in the quiet scene mode, there is no need to process complex algorithms in real time, thereby reducing the resource occupation of the vehicle-mounted ECU and improving the system reliability. The preset value is usually verified through bench testing, which can meet the basic cooling demand and also has a safety margin to cope with sudden loads.

[0049] S3, collect the vehicle speed and determine whether the vehicle speed exceeds a preset threshold. If yes, perform S4; if no, perform S5.

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

[0051] S5, determine a third maximum speed value according to the sound pressure level of the environmental noise in the vehicle, and take the third maximum speed value as the maximum speed of the vehicle-mounted wireless charging cooling fan. Only the environmental noise is used to adjust the speed, so as to ensure that the fan noise and the cooling demand are dynamically matched in a quiet environment sensitive to passengers. For example, a higher speed is allowed when music is played in the vehicle, and the speed is automatically reduced when talking. Moreover, the vehicle speed data is not required, thereby simplifying the algorithm logic.

[0052] Exemplarily, the quiet scene mode includes a talking scene and a resting scene. The talking scene is determined by comprehensively judging the actions, facial expressions and languages of the passengers in the vehicle, or by determining that the vehicle machine enters a Bluetooth calling mode. The resting scene can also be determined by the actions of the passengers in the vehicle, or by determining that the vehicle machine enters a resting mode or a resting mode.

[0053] As a preferred embodiment of the embodiment of the application, the determination of the first maximum speed value according to the vehicle speed specifically includes: referring to FIG. 1, Figure 2 as shown, obtaining a first relative relationship between the vehicle speed and the maximum speed of the vehicle-mounted wireless charging cooling fan, collecting the vehicle speed at the current time, and determining the first maximum speed value according to the vehicle speed and the first relative relationship.

[0054] wherein the determination of the first relative relationship includes:

[0055] Obtain the temperature rise curve of the wireless charging module at different vehicle speeds (60-120 km / h) through bench test, and record the fan speed and charging efficiency data synchronously. The piecewise linear interpolation method is used to establish the mapping relationship between the vehicle speed (V) and the first maximum speed value (N1). Exemplarily, N1=6000+50×(V-60), N1 is the first maximum speed value, and the unit is rpm; V is the vehicle speed at the current time, and the unit is km / h.

[0056] As a preferred embodiment of the embodiment of the application, the second maximum speed value is determined according to the sound pressure level of the in-vehicle environmental noise, or the third maximum speed value is determined according to the sound pressure level of the in-vehicle environmental noise, which specifically comprises: Figure 3 As shown in the figure, the maximum sound pressure level of the vehicle-mounted 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 of the vehicle-mounted wireless charging cooling fan and the maximum speed is obtained; and 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.

[0057] This scheme accurately controls the fan noise below the environmental masking threshold through real-time sound pressure level feedback control, and allows the fan to increase the speed when the environmental noise increases (such as driving with the window open). For example: playing music in the car (noise sound pressure level > 60 dB), allowing the fan noise sound pressure level to increase to 55 dB. If the in-vehicle environment is quiet (noise < 40 dB), limit the fan noise ≤ 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 vehicle-mounted wireless charging cooling fan is: L fan_base = L env -5 dB, for example: if the in-vehicle environmental noise is 60 dB, the noise upper limit of the cooling fan is 55 dB.

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

[0060] Solution one: hardware-level noise separation, that is, arranging two microphones (including a near-field microphone and a far-field microphone) to collect noise data. The near-field microphone is installed near the fan outlet to collect the running noise S fan of the cooling fan. The far-field microphone is installed on the ceiling of the vehicle to collect the total environmental noise S mic . Then the actual in-vehicle environmental noise S env =S mic -α×Sfan where a is the attenuation coefficient, determined by calibration experiments (e.g. 0.8-0.95).

[0061] Solution two, algorithm-level noise compensation, specifically including the following steps:

[0062] 1) Frequency domain feature extraction: analyze the noise spectrum through FFT, identify the cooling fan characteristic frequency N is the number of blades, RPM is the cooling fan speed. In the frequency domain, filter out the energy in the range of f fan ±Δf, reconstruct the ambient noise spectrum.

[0063] 2) Time domain adaptive filtering: based on the cooling fan speed (PWM signal is known), generate a reference noise signal S fan_ref , through LMS algorithm to offset the fan component in the microphone signal in real time.

[0064] LMS algorithm, full name Least Mean Squares (LMS) algorithm, is an iterative adaptive filtering algorithm, mainly used in signal processing field. The algorithm adjusts the coefficients of the filter continuously, so that the mean square error between the output signal and the expected signal reaches the minimum. Its core idea is based on gradient descent method, through calculating the gradient of the current output error, adjusting the filter coefficients, so that the error gradually decreases, and finally reaches the optimal state. L algorithm is widely used in noise cancellation, system identification, channel equalization and other fields. Although its convergence speed is slow, it has the advantages of small calculation amount and simple implementation, so it is widely used in real-time processing and embedded systems.

[0065] Further, as shown in Figure 4 , the maximum speed determination method of the vehicle-mounted wireless charging cooling fan further comprises: determining the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan according to the sound pressure level of the in-vehicle ambient noise, and then performing frequency spectrum analysis on the in-vehicle ambient noise. Specifically, signal processing techniques such as Fast Fourier Transform (FFT) are used to process the in-vehicle ambient noise signal, converting the time domain signal to the frequency domain signal, so as to analyze its frequency components and energy distribution. Generally, the frequency range is divided into low frequency (e.g. 20Hz-500Hz), medium frequency (500Hz-2kHz) and high frequency (2kHz-20kHz) three frequency bands.

[0066] In response to the in-vehicle ambient noise being medium and low frequency, the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan is positively corrected; which means that the maximum sound pressure level limit of the fan can be appropriately increased, and the fan is allowed to run at a higher speed to enhance the cooling effect.

[0067] In response to the high frequency of the in-vehicle environmental noise, the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan is negatively corrected. That is, the maximum sound pressure level limit of the fan is reduced, so that the fan operates at a lower speed, and the high frequency noise generated by the fan reduces the disturbance to the in-vehicle environment.

[0068] The medium and low frequency noise has a wide masking bandwidth, which can more effectively mask the noise generated by the fan. Therefore, under the condition of medium and low frequency environmental noise, increasing the sound pressure level of the fan will not significantly increase the overall noise perception in the vehicle; and the masking bandwidth of high frequency noise is relatively narrow, and reducing the high frequency noise of the fan can avoid superposition with the environmental high frequency noise, so as to avoid the increase of noise perception.

[0069] In the medium and low frequency environmental noise scene, by positively correcting, the fan can operate at a higher speed, which can enhance the cooling effect, ensure that the vehicle-mounted wireless charging module works in a suitable temperature range, improve the charging efficiency and the reliability of the module. In the high frequency environmental noise scene, the negative correction reduces the sound pressure level of the fan, reduces the high frequency noise generated by the fan, and makes the passengers in the vehicle feel a more quiet and comfortable acoustic environment. The method can dynamically adjust the maximum sound pressure level of the fan according to the frequency spectrum characteristics of the in-vehicle environmental noise, so that the operation of the fan can meet the cooling demand and adapt to different in-vehicle acoustic environments, thereby improving the flexibility and adaptability of the system.

[0070] For example, if the energy ratio of the medium and low frequency (20Hz-2kHz) in the environmental noise is greater than 70% (such as music sound), the maximum speed of the corrected cooling fan L fan_max = L fan_base + 3dB, L fan_base = L env -5dB; that is, the fan noise is moderately increased.

[0071] If the energy ratio of the high frequency (2kHz-8kHz) in the environmental noise is greater than 50% (such as navigation voice), the maximum speed of the corrected cooling fan L fan_max = L fan_base -3dB, which strictly limits the high frequency noise of the fan to avoid the superposition with the voice frequency band to cause perceptible interference.

[0072] Necessity of spectrum correction: under the same environmental noise decibel value, only relying on the total sound pressure level may cause: in the music scene, the cooling capacity is excessively limited (the actual allowable noise is higher); in the voice scene, the fan noise interferes with the voice clarity. After introducing the spectrum correction, the subjective complaint rate of the user to the fan noise is reduced by 42%.

[0073] As a preferred embodiment of the embodiment of the application, it further includes: in response to the in-vehicle mode switching, a smooth transition algorithm is used to realize the gradual transition of the maximum speed of the vehicle-mounted wireless charging cooling fan, so as to avoid the step noise.

[0074] The smooth transition algorithm avoids sudden changes in fan speed, thereby reducing the generation of step noise and improving the acoustic comfort in the vehicle. Moreover, the gradual transition of the cooling fan speed also reduces the impact on the fan motor, prolongs the service life of the motor, and improves the stability of the entire cooling system. At the same time, the smooth speed change makes the user not feel obvious noise change when switching the mode in the vehicle, which improves the user's satisfaction with the vehicle.

[0075] Exemplarily, the smooth transition algorithm includes a linear gradual change algorithm and a nonlinear gradual change algorithm.

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

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

[0078] In order to make the transition more natural, a nonlinear gradual change algorithm, such as exponential gradual change, can also be used. Let the current maximum fan speed be N current , the target maximum speed be N target , the transition time be T (unit: seconds), and the sampling interval be Δt (unit: seconds). The exponential gradual change formula is as follows:

[0079]

[0080] where τ is a time constant for controlling the speed of the gradual change, is the maximum speed of the cooling fan at the start of the sampling, is the maximum speed of the cooling fan at the end of the sampling.

[0081] In one embodiment, the present application discloses a vehicle-mounted wireless charging cooling fan control method, as shown in Figure 2 , which includes:

[0082] The heat dissipation power requirement is determined according to the real-time temperature of the vehicle-mounted wireless charging module or charging device. Generally, the higher the temperature, the greater the required heat dissipation power. A mapping table or a 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 related, i.e. P = k(T1-T0), where P is the heat dissipation power requirement, T1 is the real-time temperature, T0 is a set reference temperature, and k is a proportional coefficient.

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

[0084] The maximum rotating speed of the vehicle-mounted wireless charging heat dissipation fan is determined by using the above vehicle-mounted wireless charging heat dissipation fan maximum rotating speed determination method, the target rotating speed is compared with the maximum rotating speed, and the smaller one of the two is taken as the actual output rotating speed of the heat dissipation fan. In this way, the heat dissipation requirement can be met while ensuring that the noise of the heat dissipation fan does not exceed an acceptable range.

[0085] As a preferred embodiment of the present application, the vehicle-mounted wireless charging heat dissipation fan control method further comprises: if the target rotating speed is greater than the maximum rotating speed, starting an auxiliary heat dissipation module. The auxiliary heat dissipation module is at least one of an additional heat dissipation fin and a liquid cooling system, which increases the heat dissipation efficiency by increasing the heat dissipation path to ensure the normal operation of the charging module. At the same time, the problem of excessive noise caused by excessively increasing the fan rotating speed to meet the heat dissipation requirement is avoided, and a good acoustic environment in the vehicle is maintained.

[0086] In this way, when the target rotating speed exceeds the maximum rotating 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, the fan alone may not be able to effectively dissipate heat, and 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 vehicle-mounted wireless charging system.

[0087] As a preferred embodiment of the present application, the vehicle-mounted wireless charging heat dissipation fan control method further comprises: based on historical temperature data of the vehicle-mounted wireless charging module or charging device and a machine learning model, predicting the temperature variation trend of the vehicle-mounted wireless charging module or charging device within a future preset time period; and adjusting the rotating speed curve of the vehicle-mounted wireless charging heat dissipation fan according to the prediction result to avoid noise fluctuations caused by frequent starting and stopping of the fan.

[0088] The application avoids frequent start and stop of the fan, effectively reduces noise fluctuation, and improves the comfort of the vehicle. Stable fan speed helps to reduce the wear of the fan motor, prolong the service life of the fan, and improve the stability of the entire cooling system. It can also avoid unnecessary high-speed operation and reduce energy consumption.

[0089] In particular, the preferred embodiment includes the following steps:

[0090] Step one, data collection and preprocessing.

[0091] Data collection: continuously collect historical temperature data of the vehicle wireless charging module or charging device, and record the corresponding time stamp, charging power, vehicle interior environment temperature and other related 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, making it easier for machine learning models to train.

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

[0094] Model selection: select appropriate machine learning models such as recurrent neural networks (RNN) and its variants long short-term memory networks (LSTM), gated recurrent units (GRU), etc. These models perform well in handling sequential data and can capture the time series characteristics of temperature data.

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

[0096] Step three, temperature change trend prediction.

[0097] Using the trained machine learning model, according to the current temperature data and related features, predict the temperature change trend of the vehicle wireless charging module or charging device within a predetermined time period in the future.

[0098] Step four, speed curve adjustment.

[0099] According to the prediction results of the temperature change trend, adjust the speed curve of the vehicle wireless charging fan. If the temperature is predicted to rise, the fan speed is appropriately increased in advance; if the temperature is predicted to drop, gradually reduce the fan speed to avoid frequent start and stop of the fan.

[0100] In an embodiment, the application further discloses a vehicle, comprising a processor and a memory; the memory stores one or more programs, when the one or more programs are executed by the processor, the vehicle executes the vehicle wireless charging heat dissipation fan maximum rotating speed determination method.

[0101] In an embodiment, the application further discloses a vehicle, comprising a processor and a memory; the memory stores one or more programs, when the one or more programs are executed by the processor, the vehicle executes the vehicle wireless charging heat dissipation fan control method.

[0102] The above embodiments are only preferred embodiments for fully illustrating the application, the protection scope of the application is not limited to this. Any equivalent replacement or transformation of the application made by the skilled in the art based on the application is within the protection scope of the application.

Claims

1. A method for determining the maximum speed of a vehicle-mounted wireless charging cooling fan, characterized in that, include: When the vehicle is in a quiet environment mode, the maximum speed of the in-vehicle wireless charging cooling fan is set to the preset value. When the vehicle is in a non-quiet scene mode and the vehicle speed exceeds a preset threshold, the first maximum speed value is determined based on the vehicle speed, and the second maximum speed value is determined based on 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 between the two is taken as the maximum speed of the vehicle wireless charging cooling fan. When the vehicle is in a non-quiet environment and the vehicle speed is below a preset threshold, the third maximum speed value is determined based on the sound pressure level of the ambient noise inside the vehicle, and the third maximum speed value is used as the maximum speed of the vehicle 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, The process of determining the first maximum rotational speed based on vehicle speed specifically includes: obtaining the first relative relationship between vehicle speed and the maximum rotational speed of the vehicle's wireless charging cooling fan, collecting the vehicle speed at the current moment, and determining the first maximum rotational speed based on 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, The second maximum speed value is determined based on the sound pressure level of the in-vehicle ambient noise, or the third maximum speed value is determined based on the sound pressure level of the in-vehicle ambient noise. Specifically, this includes: The maximum sound pressure level of the vehicle's wireless charging cooling fan is determined based on the sound pressure level of the in-vehicle ambient noise. Obtain the second relative relationship between the maximum sound pressure level and the maximum speed of the vehicle wireless charging cooling fan; The second or third maximum speed value is determined based on the maximum sound pressure level of the vehicle 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, It also includes: after determining the maximum sound pressure level of the vehicle-mounted wireless charging cooling fan based on the sound pressure level of the in-vehicle ambient noise, performing a spectrum analysis of the in-vehicle ambient noise; When the ambient noise inside the vehicle is at a medium or low frequency, the maximum sound pressure level of the vehicle wireless charging cooling fan is positively corrected. When the ambient noise inside the vehicle is high frequency, the maximum sound pressure level of the vehicle wireless charging cooling fan is negatively corrected.

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 in-vehicle mode switching, a smooth transition algorithm is used to achieve a gradual transition of the maximum speed of the vehicle wireless charging cooling fan, avoiding step noise.

6. A method for controlling a vehicle-mounted wireless charging cooling fan, characterized in that, include: Determine the heat dissipation power requirement based on the real-time temperature of the vehicle's wireless charging module or charging equipment. Based on the heat dissipation power requirement, the corresponding target speed is determined in conjunction with the performance curve of the cooling 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 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 rotational speed is greater than the maximum rotational speed, then the auxiliary cooling module is activated.

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

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

Images