TWM618141U - Vehicle acoustic alert system - Google Patents

Abstract

An automobile sound warning system includes: a processing unit, a wavelet conversion and synthesis unit, a database, and a playback unit; after the wavelet conversion and synthesis unit obtains an engine speed through the processing unit, the Obtain a corresponding low-frequency input sound and a high-frequency input sound from the database; the wavelet conversion synthesis unit uses wavelet conversion technology to convert the low-frequency input sound into an approximate signal, and the high-frequency input sound into a detailed signal , And then synthesize into a synthesized sound, and the playing unit obtains and plays the synthesized sound again. With the wavelet transformation technology, the most appropriate synthesized sound can be synthesized according to the magnitude of the actuation parameter, which effectively reminds pedestrians or other passers-by to pay attention, and greatly improves safety.

Description

Car sound warning system

This creation is about a car sound warning system, especially a car sound warning system.

Compared with the combustion explosion sound, mechanical noise and exhaust noise of fuel vehicles, the overall volume of vehicles such as hybrid electric vehicles and electric vehicles in electric mode is lower, and even close to silent, making it difficult for pedestrians to notice the electric mode Vehicles. According to research conducted by the Insurance Institute for Highway Safety (IIHS) and the National Highway Traffic Safety Administration (NHTSA), the risk of collisions between electric vehicles and pedestrians when driving in urban areas About 17% more than other vehicles.

In order to remind pedestrians and other passers-by, since 2011, international car manufacturers have successively developed warning systems that can sound similar to the running sound of traditional internal combustion engines, namely the acoustic vehicle alert system (AVAS).

In terms of patents, for example, the Republic of China Patent Publication No. I657437 provides a method, device, and system for playing audio signals related to electric vehicles. After determining the speed of the electric vehicle, the speaker of the electric vehicle Generate audio signal fragments.

The purpose of this creation is to provide a car sound warning system that is different from the aforementioned patent case, which can also remind pedestrians or other passers-by to pay attention.

In this regard, the author provides a car sound warning system that is different from the aforementioned patent case. It is installed in an electric vehicle. The electric car has an actuation unit. The actuation unit includes an engine. The car sound warning system includes: a processing unit, Set in the electric vehicle, the processing unit signal is connected to the actuation unit; a wavelet conversion synthesis unit is set in the electric vehicle, the wavelet conversion synthesis unit signal is connected to the processing unit, the wavelet conversion synthesis unit includes a synthesis low-pass filter And a synthetic high-pass filter; a database arranged in the electric vehicle, the database signal is connected to the wavelet conversion synthesis unit, the actuation unit has an actuation parameter including an engine speed, and the database stores multiple sub-band sounds, Each frequency band sound includes a low-frequency input sound and a high-frequency input sound, and the sub-frequency band sounds respectively correspond to different sizes of the engine speed; and a playback unit arranged in the electric vehicle, and the playback unit signal is connected to the wavelet transform Synthesis unit; obtain the engine speed through the processing unit, the wavelet conversion synthesis unit obtains the engine speed from the processing unit, and obtains the corresponding low-frequency input sound and the high frequency from the database according to the size of the engine speed Input sound; the wavelet conversion synthesis unit uses Wavelet Transform technology to convert the low-frequency input sound into an approximate signal by the synthetic low-pass filter, and convert the high-frequency input sound into an approximate signal by the synthetic high-pass filter For a detail signal, the wavelet conversion and synthesis unit synthesizes the approximate signal and the detail signal into a synthesized sound. After the synthesized sound is transmitted to the playback unit, the playback unit plays the synthesized sound.

Further, a recording unit signal is connected to the wavelet conversion synthesis unit, the wavelet conversion synthesis unit includes an analysis low-pass filter and an analysis high-pass filter; the recording unit obtains an engine sound from a fuel engine of a fuel vehicle and sends it to the The wavelet conversion synthesis unit, the engine sound is derived from the fuel engine whose engine speed is between 1000 and 8000 revolutions per minute, and the engine sound corresponds to the engine speed. The wavelet conversion synthesis unit uses wavelet conversion technology to generate The analytical low-pass filter analyzes an approximate coefficient from the engine sound, and the analytical high-pass filter analyzes a detailed coefficient from the engine sound. The wavelet conversion and synthesis unit then uses the approximate coefficient and the detailed coefficient as the The sub-band sound is stored in the database corresponding to the engine speed, and when the wavelet conversion and synthesis unit is to synthesize the synthesized sound, the low-frequency input sound is the approximate coefficient, and the high-frequency input sound is the detail coefficient.

Further, the actuation unit includes a throttle, the actuation parameter includes a throttle depth, and the sub-band sounds respectively correspond to different sizes of the throttle depth, the wavelet conversion synthesis unit obtains the throttle depth through the processing unit, and then according to the throttle depth The size of the depth, the corresponding low-frequency input sound and the high-frequency input sound are obtained from the database to synthesize the synthesized sound.

Wherein, the playback unit is a smart speaker, and each engine speed corresponds to multiple sub-band sounds; by issuing a voice command to the smart speaker, the smart speaker controls the wavelet conversion and synthesis unit to select another one corresponding to the same engine speed For the sub-band sound, the wavelet conversion synthesis unit synthesizes and updates the synthesized sound through the wavelet conversion technology.

Among them, the processing unit is an on-board diagnostics system (On-Board Diagnostics, OBD) or a controller area network bus (Controller Area Network Bus, CAN bus) system.

According to the above technical features, the following effects can be better achieved:

1. The wavelet conversion synthesis unit uses wavelet conversion technology to synthesize the most appropriate synthesized sound according to the size of the actuation parameters, which can effectively remind pedestrians or other passers-by to pay attention to greatly improve safety.

2. Through the recording unit, it is possible to record the engine sound in real car in advance, and then use the wavelet conversion synthesis unit to analyze the engine sound and synthesize the synthesized sound. Both the approximate coefficients and the detailed coefficients can be retained, and finally played by the playback unit. The synthesized sound can be more realistic.

3. The engine sound can be recorded from a fuel engine with a rotation speed between 1000 and 8000 rpm. When the wavelet conversion synthesis unit is to synthesize the synthesized sound, it can better correspond to the actuation parameters of different sizes of the actuation unit.

4. When the playback unit is a smart speaker, the user can adjust the synthesized sound by inputting voice commands to improve the user's driving or riding pleasure.

5. The processing unit can be an on-vehicle diagnostic system or a controller area network bus system, and the acquisition of operating parameters can be more real-time.

Based on the above technical features, the main effects of this creative car sound warning system will be clearly presented in the following embodiments.

Please refer to the first and second figures, which disclose the car acoustic warning system of this creative embodiment, which is installed in a vehicle, such as a relatively quiet electric vehicle 1. The electric vehicle 1 has two actuation units, and each of the actuation units has an actuation parameter. In the preferred embodiment of this creation, the actuation units are respectively a throttle and an engine (none of them are shown). The actuation parameters correspond to a throttle depth A and an engine speed B. It should be supplemented that the following only takes the engine speed B as an example for explanation. In actual implementation, the engine speed B can also be converted to the throttle depth A for replacement.

The car sound warning system includes: a processing unit 2, a wavelet conversion and synthesis unit 3, a database 4, a playback unit 5, and a recording unit 6.

The processing unit 2 is arranged in the electric vehicle 1, and the processing unit 2 is signally connected to the actuating unit. The processing unit 2 can be an on-board diagnostics system (On-Board Diagnostics, OBD) or a controller area network bus (Controller Area Network Bus, CAN bus) system. In the figure, only the display of the CAN bus system is used as Schematic representation of the processing unit 2.

The wavelet conversion and synthesis unit 3 is arranged in the electric vehicle 1, and the wavelet conversion and synthesis unit 3 is signally connected to the processing unit 2.

The database 4 is set in the electric vehicle 1, the signal of the database 4 is connected to the wavelet conversion and synthesis unit 3, and the database 4 stores a plurality of sub-band sounds C corresponding to the operating parameters of different sizes, and each sub-band sounds C includes a low-frequency input sound and a high-frequency input sound.

The playing unit 5 is arranged in the electric vehicle 1, and the playing unit 5 is signally connected to the wavelet conversion and synthesis unit 3. In the preferred embodiment of this creation, the playback unit 5 is a smart speaker.

The recording unit 6 is signally connected to the wavelet conversion and synthesis unit 3, and the recording unit 6 may be, for example, a general microphone or a radio equipment.

Please refer to the first, third, and fourth diagrams. The following describes how to obtain the sub-band sound C.

A user can use the recording unit 6 from the electric vehicle 1 to record an engine sound D emitted by a fuel engine of a fuel vehicle (not shown), or directly from the fuel vehicle or on the side of the road. Wait to record the engine sound D. Preferably, the engine sound D is derived from the fuel engine whose engine speed B is between 1000 and 8000 revolutions per minute [the engine speed B please match the second figure].

After the recording unit 6 obtains the engine sound D, it sends the engine sound D to the wavelet conversion and synthesis unit 3. The wavelet conversion and synthesis unit 3 uses the wavelet transform (Wavelet Transform) technology to analyze the engine sound D. The sub-band sound C is stored in the database 4.

After the wavelet conversion and synthesis unit 3 analyzes the sub-band sound C, it can also convert the engine speed B according to the engine sound D.

Taking the fuel engine as a six-cylinder gasoline engine as an example, the source of the engine sound D is mainly divided into the following two types:

The first is the noise caused by the fuel combustion in the fuel engine cylinder, which depends on the pressure pulse generated by the combustion and is proportional to the engine speed B. The calculation formula is F0 = n × RPM / 120, where n is the cylinder The number, namely 6, RPM is the engine speed B. Due to the uneven intensity of the engine pulse in each cylinder, the harmonic component is a multiple of F0/6.

The second type is mechanical noise caused by crankshaft rotation and solid structure vibration. For a four-stroke engine, the fuel ignites every two revolutions of each cylinder on the crankshaft. Therefore, for a six-cylinder engine, the crankshaft rotation frequency is one-third of F0.

The wavelet conversion and synthesis unit 3 can convert the engine speed B according to the above formula, and store the sub-band sound C corresponding to the engine speed B. For example, it is easy to query by adding an index to facilitate subsequent selection according to the engine speed B The different sub-band sounds C.

To describe the wavelet conversion technology in more detail, take the first-order wavelet conversion and synthesis unit 3 as an example. The wavelet conversion and synthesis unit 3 includes an analysis low-pass filter 31 and an analysis high-pass filter 32. The wavelet conversion and synthesis unit 3 uses the analytical low-pass filter 31 to down-sampling by 2 from the engine sound D to analyze an approximation coefficient, and the analytical high-pass filter 32 obtains an approximation coefficient from the engine. The sound D is down-sampled by a factor of two to analyze a detail coefficient, and the wavelet conversion and synthesis unit 3 then uses the approximate coefficient and the detail coefficient as the sub-band sound C and stores the data in the data corresponding to the engine speed B Library 4.

為輸入信號，則該分析低通濾波器31及該分析高通濾波器32的輸出將分別為： Ruo Ling

Is the input signal, the output of the analysis low-pass filter 31 and the analysis high-pass filter 32 will be:

。 The approximate coefficient of a1(n) for the first-order wavelet analysis:

.

。 The detail coefficient of the first-order wavelet analysis of a1(n):

.

Please refer to the second, third and fifth diagrams. The following explains how to obtain the synthesized sound E.

After the processing unit 2 is turned on, the actuation parameters can be obtained, including the throttle depth A and/or the engine speed B. The following only takes the engine speed B as an example. Since the processing unit 2 is an on-vehicle diagnostic system or a controller area network bus system, the acquisition of the operating parameters can be more immediate.

After the wavelet conversion and synthesis unit 3 obtains the engine speed B from the processing unit 2, it obtains the corresponding low-frequency input sound and the high-frequency input sound from the database 4 according to the size of the engine speed B. Preferably, the low-frequency input sound is the approximate coefficient, and the high-frequency input sound is the detail coefficient.

Then, the wavelet conversion and synthesis unit 3 respectively converts the low-frequency input sound and the high-frequency input sound, and synthesizes the converted low-frequency input sound and the high-frequency input sound into a synthesized sound E, and the synthesized sound E is transmitted to the After the playback unit 5, the playback unit 5 plays the synthesized sound E.

In more detail, taking the first-order wavelet conversion and synthesis unit 3 as an example, the wavelet conversion and synthesis unit 3 includes a synthesis low-pass filter 33 and a synthesis high-pass filter 34. The wavelet conversion and synthesis unit 3 uses the synthesis low-pass filter 33 to convert the low-frequency input sound by up-sampling by 2 into an approximate signal, and the synthesis high-pass filter 34 converts the high-frequency input sound into an approximate signal. The wavelet conversion and synthesis unit 3 synthesizes the approximate signal and the detail signal into the synthesized sound E by double upsampling, and the synthesized sound E is played by the playback unit 5.

及

分別做為輸入該小波轉換合成單元3的該低頻輸入聲響及該高頻輸入聲響，則該合成低通濾波器33及該合成高通濾波器34的輸出將分別為： Ruo Ling

and

As the low-frequency input sound and the high-frequency input sound input to the wavelet conversion synthesis unit 3, respectively, the output of the synthesis low-pass filter 33 and the synthesis high-pass filter 34 will be:

。 The approximate signal of the first-order wavelet analysis:

.

。 The detailed signal of the first-order wavelet analysis:

.

。 The synthesized sound E synthesized by the wavelet conversion and synthesis unit 3 is then

.

Since the playback unit 5 is the smart speaker, the user can also issue a voice command to the playback unit 5, and the playback unit 5 controls the wavelet conversion and synthesis unit 3 to select another one corresponding to the same engine speed B. For the frequency band sound C, the wavelet conversion synthesis unit 3 synthesizes and updates the synthesized sound E through the wavelet conversion technique. With the voice command, the user can freely adjust the synthesized sound E, which improves the user's driving or riding pleasure. It should be noted that the control method of the smart speaker is not the focus of this creation, and it is also a conventional technology, so it is not explained in detail.

Please refer to the second figure, the sixth figure and the seventh figure, the wavelet conversion and synthesis unit 3 can be further extended to a higher-level architecture.

Taking the third-order wavelet conversion and synthesis unit 3 as an example, the sixth figure shows the structure of the analysis low-pass filter 31 and the analysis high-pass filter 32 of the wavelet conversion and synthesis unit 3, which are also down-sampling by a factor of two. Perform the analysis of the engine sound D.

The seventh figure shows the structure of the synthetic low-pass filter 33 and the synthetic high-pass filter 34 of the wavelet conversion and synthesis unit 3, and the synthesis of the synthesized sound E is also performed by double upsampling.

Please refer to the first and second figures again. The wavelet conversion synthesis unit 3 uses wavelet conversion technology to synthesize the most appropriate synthesized sound E according to the magnitude of the actuation parameter, which can effectively remind pedestrians or other passers-by to pay attention , Which greatly improves the safety of the electric vehicle 1.

At the same time, since the wavelet conversion and synthesis unit 3 retains both the approximate coefficient and the detail coefficient, the synthesized sound E finally played by the playback unit 5 can be more realistic.

Based on the description of the above-mentioned embodiments, when we can fully understand the operation, use and effects of this creation, the above-mentioned embodiments are only the preferred embodiments of this creation, and the implementation of this creation cannot be limited by this. The scope, that is, the simple equivalent changes and modifications made according to the scope of the patent application for this creation and the content of the creation description, are all within the scope of this creation.

1: Electric car 2: processing unit 3: Wavelet conversion synthesis unit 31: Analyze the low-pass filter 32: Analyze the high-pass filter 33: Synthetic low-pass filter 34: Synthetic high-pass filter 4: Database 5: Play unit 6: Recording unit A: Throttle depth B: Engine speed C: sub-band sound D: Engine sound E: Synthetic sound

[The first figure] is the first implementation diagram of this creative embodiment, showing that the wavelet transform and synthesis unit analyzes the sub-band sound from the engine sound.

[The second figure] is the second schematic diagram of this creative embodiment, showing that the wavelet transform and synthesis unit synthesizes the sub-band sound into a synthesized sound.

[The third figure] is the third schematic diagram of the implementation of this creative embodiment, showing the overall architecture of the first-order wavelet transform and synthesis unit.

[Fourth Figure] is the first flow block diagram of this creative embodiment, showing that the wavelet transform and synthesis unit analyzes the sub-band sound from the engine sound.

[Fifth Figure] is the second flow block diagram of this creative embodiment, showing that the wavelet transform and synthesis unit synthesizes the sub-band sound into a synthesized sound.

[Figure 6] is the fourth implementation diagram of this creative embodiment, showing the structure of the analysis low-pass filter and the analysis high-pass filter part of the third-order wavelet conversion synthesis unit.

[Figure 7] is the fifth implementation diagram of this creative embodiment, showing the structure of the synthesis low-pass filter and synthesis high-pass filter part of the third-order wavelet conversion and synthesis unit.

1: Electric car

2: processing unit

3: Wavelet conversion synthesis unit

4: Database

5: Play unit

A: Throttle depth

B: Engine speed

C: sub-band sound

E: Synthetic sound

Claims (5)

An automobile acoustic warning system is arranged in an electric vehicle, the electric vehicle has an actuation unit, the actuation unit includes an engine, and the automobile acoustic alarm system includes: A processing unit arranged in the electric vehicle, and the processing unit signal is connected to the actuating unit; A wavelet conversion and synthesis unit arranged in the electric vehicle, the wavelet conversion and synthesis unit signal is connected to the processing unit, and the wavelet conversion and synthesis unit includes a synthesis low-pass filter and a synthesis high-pass filter; A database is set in the electric vehicle, the database signal is connected to the wavelet conversion synthesis unit, the actuation unit has an actuation parameter including an engine speed, the database stores multiple sub-frequency band sounds, and each frequency band sound includes a low frequency An input sound and a high-frequency input sound, and the sub-band sounds respectively correspond to different sizes of the engine speed; and A playing unit, which is arranged in the electric vehicle, and the signal of the playing unit is connected to the wavelet conversion and synthesis unit; Obtain the engine speed through the processing unit, and after the wavelet conversion synthesis unit obtains the engine speed from the processing unit, obtain the corresponding low-frequency input sound and the high-frequency input sound from the database according to the size of the engine speed; The wavelet conversion synthesis unit uses Wavelet Transform technology to convert the low-frequency input sound into an approximate signal by the synthesis low-pass filter, and convert the high-frequency input sound into a detail signal by the synthesis high-pass filter The wavelet conversion and synthesis unit then synthesizes the approximate signal and the detail signal into a synthesized sound. After the synthesized sound is transmitted to the playback unit, the playback unit plays the synthesized sound. According to the automotive acoustic warning system of claim 1, further, a recording unit signal is connected to the wavelet conversion and synthesis unit, the wavelet conversion and synthesis unit includes an analysis low-pass filter and an analysis high-pass filter; the recording unit obtains a fuel An engine sound from a fuel engine of the vehicle is sent to the wavelet conversion synthesis unit. The engine sound is from the fuel engine whose engine speed is between 1000 and 8000 revolutions per minute, and the engine sound corresponds to the engine speed. The wavelet conversion and synthesis unit uses wavelet conversion technology to analyze an approximate coefficient from the engine sound by the analytical low-pass filter, and analyze a detail coefficient from the engine sound by the analytical high-pass filter. The wavelet conversion and synthesis unit then The approximate coefficient and the detail coefficient are used as the sub-band sound and stored in the database corresponding to the engine speed, and when the wavelet conversion and synthesis unit is to synthesize the synthesized sound, the low-frequency input sound is the approximate coefficient, the The high-frequency input sound is the detail coefficient. According to the automotive sound warning system of claim 1, further, the actuation unit includes a throttle, the actuation parameter includes a throttle depth, and the sub-band sounds respectively correspond to different sizes of the throttle depth, and the wavelet conversion synthesis unit passes through After obtaining the throttle depth, the processing unit obtains the corresponding low-frequency input sound and the high-frequency input sound from the database according to the size of the throttle depth to synthesize the synthesized sound. The car sound warning system of claim 1, wherein the playback unit is a smart speaker, and each engine speed corresponds to a plurality of sub-band sounds; by issuing a voice command to the smart speaker, the smart speaker controls the wavelet transformation The synthesis unit selects another sub-band sound corresponding to the same engine speed, and the wavelet conversion synthesis unit synthesizes and updates the synthesized sound through the wavelet conversion technology. According to claim 1, the automotive sound warning system, wherein the processing unit is an on-board diagnostics (OBD) or a controller area network bus (CAN bus) system.

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