Active sound wave output control method for electric vehicle and electric vehicle

Abstract

The application provides a method for controlling active sound waves of an electric vehicle and the electric vehicle, and relates to the technical field of sound wave control. The method can determine a sound wave output strategy of a sound wave output module according to power scene parameters, wherein the sound wave output strategy comprises a gain and a frequency of the sound wave; and the sound wave output module is controlled to output active sound waves based on the sound wave output strategy according to the sound wave output strategy. Since the power scene parameters contain the speed of the electric vehicle, the opening degree of the accelerator pedal, the instantaneous power of the driving motor and the change rate of the instantaneous power of the motor, the data content is rich, so that the accuracy of the determined sound wave output strategy is high, and the driver can have a sense of being on the scene and a good immersive experience.

Description

Technical Field

[0001] This application relates to the field of sound wave control technology, and in particular to an active sound wave output control method for electric vehicles and electric vehicles. Background Technology

[0002] The active engine sound of an electric vehicle is an electronic sound effect that is actively synthesized and played based on real-time driving conditions (such as throttle input or vehicle speed). It is not the noise of the electric vehicle's motor itself, but can serve as a warning sound to alert pedestrians at low speeds; it can also compensate for the quietness of the electric vehicle by simulating classic engine roars or creating sci-fi sound effects to provide drivers with emotional resonance and driving pleasure.

[0003] Currently, the gain of the sound output module can usually be determined by looking up a table based on the throttle opening or speed of an electric vehicle. However, the sound played based on a fixed gain in this way has low accuracy and cannot give the driver a sense of immersion, resulting in a poor immersive experience. Summary of the Invention

[0004] This application provides an active sound output control method for electric vehicles and an electric vehicle, which solves the problem in the prior art that the sound output based on a fixed gain has low accuracy and cannot make the driver feel as if they are there, resulting in a poor immersive experience.

[0005] In a first aspect, this application provides an active sound output control method for electric vehicles, applied to an on-board controller of the electric vehicle. The on-board controller is communicatively connected to both the power scene perception module and the sound output module of the electric vehicle. The method provided in this application includes: The system receives power scenario parameters collected by the power scenario perception module, which determine the current power environment of the electric vehicle. These power scenario parameters include the vehicle speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of the instantaneous power of the motor. Based on the dynamic scenario parameters, determine the subsequent sound output strategy of the sound output module, whereby the sound output strategy includes the sound gain and frequency. According to the sound output strategy, the sound output module is controlled to output active sound waves based on the sound output strategy.

[0006] In some implementations, the subsequent sound gain strategy of the sound output module is determined based on the dynamic scene parameters, including: Based on the power scene parameters, the sound gain strategy for the sound output module is found from the preset mapping table.

[0007] In some embodiments, before receiving the dynamic scene parameters collected by the dynamic scene perception module that place the electric vehicle in the current dynamic environment, the method provided in this application further includes: Collect parameters from multiple different historical power scenarios of electric vehicles; Receive the sound gain strategy calibrated by the expert terminal for each historical dynamic scene parameter; A mapping relationship is established between the parameters of each historical dynamic scene and the corresponding sound gain strategy, resulting in a mapping relationship table.

[0008] In some implementations, the dynamic scenario parameters also include the road environment parameters of the electric vehicle and the load of the electric vehicle. Based on the dynamic scenario parameters, the subsequent sound gain strategy of the sound output module is determined, including: By integrating the electric vehicle's speed, accelerator pedal opening, instantaneous motor power, rate of change of instantaneous motor power, road environment parameters, and electric vehicle load, a dynamic scenario profile of the electric vehicle is obtained. The dynamic scene profile features are input into a pre-trained gain strategy determination model to determine the subsequent sound gain strategy of the sound output module. The gain strategy determination model is trained by inputting multiple first training samples into the network to be trained. Each first training sample includes historical dynamic scene profile features and corresponding expert-calibrated sound gain strategies.

[0009] In some implementations, when the dynamic scene profile features indicate that the electric vehicle's speed is lower than a set speed threshold, the accelerator pedal opening is greater than a set opening, the instantaneous power of the drive motor is greater than a set power threshold, the rate of change of the instantaneous power of the motor is greater than a set rate of change threshold, the road environment parameters indicate that the slope of the road on which the electric vehicle is traveling is lower than a set slope threshold and it is a straight road, and the load of the electric vehicle is lower than a set load threshold, the sound output strategy is determined to be that the rate of change of the gain of the sound wave is greater than a preset rate of change threshold, and the frequency of the sound wave is greater than 2kHz.

[0010] In some implementations, when the dynamic scene profile features indicate that the electric vehicle's speed is higher than a set speed threshold, the accelerator pedal opening is lower than a set opening, the instantaneous power of the drive motor is lower than a set power threshold, the rate of change of the instantaneous power of the motor is lower than a set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is higher than a set slope threshold and it is on a turning road, and the load of the electric vehicle is higher than a set load threshold, the sound output strategy is determined to be that the rate of decrease of the sound gain is less than a preset rate of decrease threshold, and the frequency of the sound is less than 200 Hz.

[0011] In some implementations, before determining the subsequent sound output strategy of the sound output module based on the dynamic scene parameters, the method provided in this application further includes: Remove abnormal data from the dynamic scenario parameters.

[0012] In a second aspect, this application provides an electric vehicle, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electric vehicle performs the method provided in the first aspect of this application.

[0013] Thirdly, this application provides a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the first aspect of this application.

[0014] Fourthly, this application provides a computer program product, including a computer program that, when run, causes an electric vehicle to perform the method provided in the first aspect of this application.

[0015] This application provides an active sound output control method and an electric vehicle for an electric vehicle. Based on power scenario parameters, a subsequent sound output strategy for the sound output module is determined. This strategy includes the sound gain and frequency. According to the sound output strategy, the sound output module is controlled to output an active sound. Since the power scenario parameters include the vehicle speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of that instantaneous power, the rich data allows for a highly accurate sound output strategy, providing the driver with an immersive and realistic experience. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A circuit module connection block diagram of a vehicle provided in an embodiment of this application; Figure 2 A flowchart illustrating the active sound output control method for electric vehicles provided in this application embodiment; Figure 3 A functional block diagram of an active sound output control device for an electric vehicle provided in an embodiment of this application. Detailed Implementation

[0018] Embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0019] The accompanying drawings illustrate various structural schematics according to embodiments of the present disclosure. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0020] In the context of this disclosure, when a layer / element is referred to as being "above" another layer / element, the layer / element may be directly above the other layer / element, or there may be an intermediate layer / element between them. Additionally, if a layer / element is "above" another layer / element in one orientation, then when the orientation is reversed, the layer / element may be "below" the other layer / element.

[0021] The technical solutions of this application and how they solve the aforementioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0022] This application provides an active sound output control method for electric vehicles, applied to the on-board controller of an electric vehicle. For example... Figure 1 As shown, the vehicle controller is communicatively connected to the electric vehicle's power scene perception module and sound output module (e.g., via CAN bus or Ethernet communication). The power scene perception module may include, but is not limited to, a vehicle speed sensor, an accelerator pedal opening sensor, and a motor power acquisition module. The vehicle speed sensor acquires the vehicle's speed, the accelerator pedal opening sensor acquires the accelerator pedal opening, and the motor power acquisition module acquires the motor's real-time power. Figure 2 As shown, the method provided in this application embodiment includes: S201: Receives dynamic scenario parameters collected by the dynamic scenario perception module that make the electric vehicle appear in the current dynamic environment.

[0023] The power scenario parameters include the electric vehicle's speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of the instantaneous power. For example, the rate of change of the instantaneous power can be determined based on the instantaneous power at multiple consecutive moments.

[0024] Furthermore, abnormal data in the dynamic scenario parameters (such as dynamic scenario parameters that exceed the corresponding normal value range) can be removed.

[0025] S202: Based on the power scene parameters, determine the next sound output strategy of the sound output module, whereby the sound output strategy includes the sound gain and frequency.

[0026] Specifically, the specific implementation methods of S202 include, but are not limited to, the following two: The first method: Based on the power scene parameters, find the next sound gain strategy for the sound output module from the preset mapping table.

[0027] The implementation conditions of the above method are as follows: before S202, collect multiple different historical power scenario parameters of electric vehicles; receive the sound gain strategy calibrated by the expert terminal for each historical power scenario parameter; establish a mapping relationship between each historical power scenario parameter and the corresponding sound gain strategy to obtain a mapping relationship table.

[0028] The second approach involves integrating the electric vehicle's road environment parameters and load into the power scene parameters. This integrates the vehicle's speed, accelerator pedal opening, instantaneous motor power, rate of change of instantaneous motor power, road environment parameters, and load to obtain the electric vehicle's power scene profile features. For example, the aforementioned data can be converted into feature vectors and concatenated to obtain the electric vehicle's power scene profile features. These power scene profile features are then input into a pre-trained gain strategy determination model to determine the subsequent sound gain strategy for the sound output module. The gain strategy determination model is trained by inputting multiple first training samples into the network to be trained. Each first training sample includes historical power scene profile features and a corresponding expert-calibrated sound gain strategy.

[0029] For example, the network to be trained can be, but is not limited to, a convolutional neural network, and the gain policy determination model can include an input layer, a first convolutional layer, a first pooling layer, a second convolutional layer, a second pooling layer, a fully connected layer, and an output layer; the first convolutional layer includes 64 convolutional kernels with a kernel size of 3×3 and the activation function is ReLU; the first pooling layer is a 1D convolutional layer with a pooling window size of 2; the second convolutional layer includes 128 convolutional kernels with a kernel size of 3×3 and the activation function is ReLU; the second pooling layer is a 1D convolutional layer with a pooling window size of 2; the fully connected layer is a Dense layer containing 50 neurons and the activation function is ReLU; the output layer uses a linear activation function.

[0030] Furthermore, when the power scene profile characteristics indicate that the electric vehicle's speed is lower than the set speed threshold, the accelerator pedal opening is greater than the set opening, the instantaneous power of the drive motor is greater than the set power threshold, the rate of change of the instantaneous power of the motor is greater than the set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is lower than the set slope threshold and it is on a straight road, and the electric vehicle's load is lower than the set load threshold (e.g., less than 80kg), it indicates that the driver is triggering the drive motor to drive the vehicle to accelerate rapidly, and the vehicle is on a stable straight road with a small load. In this case, the sound needs to have a sense of movement (manifested as a high-pitched, sharp, and agile sound). Thus, the sound output strategy is determined to be that the rate of change of the sound gain is greater than the preset rate of change threshold, and the frequency of the sound is greater than 2kHz (e.g., the frequency of the sound is 3kHz or 3.5kHz, etc.).

[0031] When the power scene profile features indicate that the electric vehicle's speed is higher than the set speed threshold, the accelerator pedal opening is lower than the set opening, the instantaneous power of the drive motor is lower than the set power threshold, the rate of change of the instantaneous power of the motor is lower than the set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is higher than the set slope threshold and it is on a curve, and the load of the electric vehicle is higher than the set load threshold, it means that the driver is triggering the drive motor to drive the vehicle to accelerate slowly, and the vehicle is on an uphill road with a large load. At this time, the sound needs to have a dull feeling (manifested as a heavy, deep, and vibrating sound). Therefore, the sound output strategy is determined to be that the rate of change of the sound gain is less than the preset rate of change threshold, and the frequency of the sound is less than 200 Hz (such as the frequency of the sound being 100 Hz or 150 Hz).

[0032] S203: According to the sound output strategy, control the sound output module to output active sound based on the sound output strategy.

[0033] It should be noted that the sound output module can be a speaker installed inside the vehicle.

[0034] In summary, the active sound output control method for an electric vehicle provided in this application determines the subsequent sound output strategy of the sound output module based on power scenario parameters. The sound output strategy includes the sound gain and frequency. According to the sound output strategy, the sound output module is controlled to output an active sound. Since the power scenario parameters include the vehicle speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of the instantaneous power, the data is rich, resulting in high accuracy of the determined sound output strategy. This allows the driver to achieve an immersive experience.

[0035] Please see Figure 3 This application provides an active sound output control device for electric vehicles, applied to the vehicle controller of an electric vehicle. The vehicle controller is communicatively connected to the electric vehicle's power scene perception module and sound output module. It should be noted that the basic principle and technical effects of the active sound output control device for electric vehicles provided in this application are the same as those in the above embodiments. For the sake of brevity, any parts not mentioned in this application can be referred to the corresponding content in the above embodiments. The device provided in this application includes a data receiving unit, a sound output strategy determination unit, and a sound output control unit. The data receiving unit is used to receive the power scene parameters collected by the power scene perception module that make the electric vehicle in the current power environment. The power scene parameters include the electric vehicle speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of instantaneous power of the motor.

[0036] The sound output strategy determination unit is used to determine the next sound output strategy of the sound output module based on the power scene parameters. The sound output strategy includes the gain and frequency of the sound.

[0037] The apparatus provided in this application embodiment further includes: an abnormal data removal unit, used to remove abnormal data in the dynamic scene parameters.

[0038] The sound output strategy determination unit is specifically used to find the next sound gain strategy of the sound output module from a preset mapping table based on the power scene parameters.

[0039] The apparatus provided in this application embodiment may further include: a mapping relationship table establishment unit, used to collect multiple different historical power scenario parameters of electric vehicles; receive the sound gain strategy calibrated by the expert terminal for each historical power scenario parameter; and establish a mapping relationship between each historical power scenario parameter and the corresponding sound gain strategy to obtain a mapping relationship table.

[0040] The sound output strategy determination unit is also specifically used to fuse the electric vehicle's speed, accelerator pedal opening, instantaneous motor power, rate of change of instantaneous motor power, road environment parameters, and electric vehicle load to obtain the electric vehicle's dynamic scene profile features. The dynamic scene profile features are then input into a pre-trained gain strategy determination model to determine the subsequent sound gain strategy of the sound output module. The gain strategy determination model is trained by inputting multiple first training samples into the network to be trained. Each first training sample includes historical dynamic scene profile features and corresponding expert-calibrated sound gain strategies.

[0041] The sound output control unit is used to control the sound output module to output active sound waves according to the sound output strategy.

[0042] In some implementations, when the dynamic scene profile features indicate that the electric vehicle's speed is lower than a set speed threshold, the accelerator pedal opening is greater than a set opening, the instantaneous power of the drive motor is greater than a set power threshold, the rate of change of the instantaneous power of the motor is greater than a set rate of change threshold, the road environment parameters indicate that the slope of the road on which the electric vehicle is traveling is lower than a set slope threshold and it is a straight road, and the load of the electric vehicle is lower than a set load threshold, the sound output strategy is determined to be that the rate of change of the gain of the sound wave is greater than a preset rate of change threshold, and the frequency of the sound wave is greater than 2kHz.

[0043] In other implementations, when the dynamic scene profile features indicate that the electric vehicle's speed is higher than a set speed threshold, the accelerator pedal opening is lower than a set opening, the instantaneous power of the drive motor is lower than a set power threshold, the rate of change of the instantaneous power of the motor is lower than a set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is higher than a set slope threshold and it is on a turning road, and the load of the electric vehicle is higher than a set load threshold, the sound output strategy is determined to be that the rate of decrease of the sound gain is less than a preset rate of decrease threshold, and the frequency of the sound is less than 200 Hz.

[0044] In addition, embodiments of this application also provide an electric vehicle, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it causes the electric vehicle to perform the method provided in the first aspect of this application.

[0045] In addition, embodiments of this application provide a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the above embodiments of this application.

[0046] Additionally, this application provides a computer program product, including a computer program that, when run, causes an electric vehicle to perform the method provided in the above embodiments of this application.

[0047] The above description does not provide detailed technical specifications regarding the structure of each layer. However, those skilled in the art should understand that layers and regions of desired shapes can be formed using various technical means. Furthermore, to form the same structure, those skilled in the art can also design methods that are not entirely identical to those described above. Additionally, although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be advantageously combined.

[0048] Although preferred embodiments of this 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 this application.

[0049] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for controlling the active sound output of an electric vehicle, characterized in that, An on-board controller for electric vehicles, wherein the on-board controller is communicatively connected to a power scene perception module and a sound output module of the electric vehicle, the method comprising: The system receives power scene parameters collected by the power scene perception module, which determine the current power environment of the electric vehicle. The power scene parameters include the vehicle speed, accelerator pedal opening, instantaneous power of the drive motor, and the rate of change of the instantaneous power of the motor. Based on the power scene parameters, the subsequent sound output strategy of the sound output module is determined, wherein the sound output strategy includes the gain and frequency of the sound. According to the sound wave output strategy, the sound wave output module is controlled to output active sound waves based on the sound wave output strategy.

2. The method according to claim 1, characterized in that, The step of determining the subsequent sound gain strategy of the sound output module based on the dynamic scene parameters includes: Based on the power scene parameters, the next sound gain strategy of the sound output module is found from the preset mapping table.

3. The method according to claim 2, characterized in that, Before receiving the dynamic scene parameters collected by the dynamic scene perception module that cause the electric vehicle to be in the current dynamic environment, the method further includes: Collect parameters from multiple different historical power scenarios of the electric vehicle; The sound gain strategy calibrated by the expert terminal for each of the historical dynamic scene parameters is received. A mapping relationship is established between each historical dynamic scene parameter and its corresponding sound gain strategy to obtain a mapping relationship table.

4. The method according to claim 1, characterized in that, The power scenario parameters also include the road environment parameters of the electric vehicle and the load of the electric vehicle. Determining the subsequent sound gain strategy of the sound output module based on the power scenario parameters includes: The vehicle speed, accelerator pedal opening, instantaneous motor power, rate of change of instantaneous motor power, road environment parameters, and load of the electric vehicle are fused to obtain the dynamic scene profile features of the electric vehicle. The dynamic scene profile features are input into a pre-trained gain strategy determination model to determine the subsequent sound gain strategy of the sound output module. The gain strategy determination model is trained by inputting multiple first training samples into the network to be trained. Each first training sample includes historical dynamic scene profile features and corresponding expert-calibrated sound gain strategies.

5. The method according to claim 4, characterized in that, When the power scene profile features indicate that the electric vehicle's speed is lower than a set speed threshold, the accelerator pedal opening is greater than a set opening, the instantaneous power of the drive motor is greater than a set power threshold, the rate of change of the instantaneous power of the motor is greater than a set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is lower than a set slope threshold and it is a straight road, and the load of the electric vehicle is lower than a set load threshold, the sound output strategy is determined to be that the rate of change of the gain of the sound wave is greater than a preset rate of change threshold, and the frequency of the sound wave is greater than 2kHz.

6. The method according to claim 4, characterized in that, When the power scene profile features indicate that the electric vehicle's speed is higher than a set speed threshold, the accelerator pedal opening is lower than a set opening, the instantaneous power of the drive motor is lower than a set power threshold, the rate of change of the instantaneous power of the motor is lower than a set rate of change threshold, the road environment parameters indicate that the slope of the road the electric vehicle is traveling on is higher than a set slope threshold and it is on a turning road, and the load of the electric vehicle is higher than a set load threshold, the sound output strategy is determined to be that the rate of decrease of the sound gain is less than a preset rate of decrease threshold, and the frequency of the sound is less than 200Hz.

7. The method according to any one of claims 1-6, characterized in that, Before determining the next sound output strategy of the sound output module based on the dynamic scene parameters, the method further includes: Abnormal data in the dynamic scenario parameters are removed.

8. An electric vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it causes the electric vehicle to perform the method as described in any one of claims 1 to 7.

9. A storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the computer to perform the method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run, it causes the electric vehicle to perform the method as described in any one of claims 1 to 7.

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