Noise reduction method, device and equipment for multi-area noise of new energy bus and medium

Abstract

The invention provides a noise reduction method, device and equipment for multi-area noise of a new energy bus and a medium. The method comprises the steps that noise signals of a motor cabin area, a noise signal of an air conditioner compressor cabin area and a noise signal of a passenger area top air duct area are collected; parameter signals of a motor controller in a motor cabin area, an air conditioner temperature controller in an air conditioner compressor cabin area and an air conditioner wind speed controller in a top air duct area of a passenger area are collected; establishing a current parameter-noise mapping relation based on the noise signal and the parameter signal; generating a parameter-inverse sound wave parameter mapping table based on a pre-stored parameter-noise mapping table; extracting an anti-phase sound wave parameter corresponding to the current parameter-noise mapping relation based on the parameter-anti-phase sound wave parameter mapping table; and performing phase adjustment on the anti-phase sound wave based on the anti-phase sound wave parameter through an LMS adaptive filtering algorithm to obtain the anti-phase sound wave for noise suppression. In the mode, noise reduction of different areas is realized, and the noise reduction effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of regional noise reduction, and in particular to a noise reduction method, device, equipment and medium for multi-region noise of a new energy bus. Background Art

[0002] Noise control is a key factor influencing passenger comfort and vehicle quality during the operation of new energy buses. Noise from traditional buses primarily originates from components such as the motor, air conditioning compressor, and air duct flow. This noise spectrum is broad and distributed across multiple regions.

[0003] In related technologies, active noise reduction systems typically employ a unified noise reduction strategy for the entire vehicle. However, noise sources in new energy buses are distributed across different areas, and the spectral characteristics of these noise sources vary significantly. Therefore, a global strategy struggles to precisely suppress noise characteristics in different areas, resulting in limited noise reduction effectiveness and potentially even the generation of new noise interference due to frequency band conflicts. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a noise reduction method, device, equipment and medium for multiple areas of new energy buses, which can achieve noise reduction in different areas and improve the noise reduction effect.

[0005] In the first aspect, an embodiment of the present invention provides a noise reduction method for multiple areas of a new energy bus. The new energy bus includes a motor compartment area, an air-conditioning compressor compartment area, and an air duct area on the top of the passenger area. The method includes: collecting noise signals from the motor compartment area, the air-conditioning compressor compartment area, and the air duct area on the top of the passenger area, and collecting parameter signals from the motor controller in the motor compartment area, the air-conditioning temperature controller in the air-conditioning compressor compartment area, and the air-conditioning wind speed controller in the air duct area on the top of the passenger area; establishing a current parameter-noise mapping relationship based on the noise signal and the parameter signal; generating a parameter-inverted sound wave parameter mapping table based on a pre-stored parameter-noise mapping table; extracting inverted sound wave parameters corresponding to the current parameter-noise mapping relationship based on the parameter-inverted sound wave parameter mapping table; adjusting the phase of the inverted sound wave through the LMS adaptive filtering algorithm based on the inverted sound wave parameters to obtain an inverted sound wave for noise suppression.

[0006] In a preferred embodiment of the present invention, the above-mentioned collection of noise signals from the motor compartment area, the air-conditioning compressor compartment area and the top air duct area of the passenger area includes: collecting noise signals from the motor compartment area, the air-conditioning compressor compartment area and the top air duct area of the passenger area through a MEMS microphone array; wherein, four microphones are arranged in a tetrahedron in the motor compartment area, covering noise signals from 20 to 2000 Hz; two microphones are arranged in the air-conditioning compressor compartment area, focusing on noise signals from 500 to 3000 Hz; and multiple microphones are arranged in a linear array in the top air duct area of the passenger area to monitor noise signals from 200 to 5000 Hz.

[0007] In a preferred embodiment of the present invention, the above-mentioned parameter signals include a speed signal, a temperature signal and a wind speed signal; the parameter signals of the motor controller in the motor compartment area, the air-conditioning temperature controller in the air-conditioning compressor compartment area and the air-conditioning wind speed controller in the top air duct area of the passenger area are collected, including: obtaining the speed signal corresponding to the motor controller through the CAN bus; obtaining the temperature signal corresponding to the air-conditioning temperature controller through the CAN bus; obtaining the wind speed signal corresponding to the air-conditioning wind speed controller through the CAN bus.

[0008] In a preferred embodiment of the present invention, the method for establishing the above-mentioned parameter-noise mapping table includes: collecting the first noise spectrum of the motor controller at each speed through the microphone in the motor compartment area; collecting the second noise spectrum of the air-conditioning temperature controller at each temperature through the microphone in the air-conditioning compressor compartment area; collecting the third noise spectrum of the air-conditioning wind speed controller at each wind speed range through the microphone in the top air duct area of the passenger area; establishing the correspondence between the noise signal and the speed signal, temperature signal, and wind speed signal based on the first noise spectrum, the second noise spectrum, and the third noise spectrum, and obtaining the parameter-noise mapping table.

[0009] In a preferred embodiment of the present invention, the above-mentioned method of generating a parameter-inverse sound wave parameter mapping table based on a pre-stored parameter-noise mapping table includes: determining the first amplitude and first phase of each noise in the parameter-noise mapping table; generating a sound wave parameter of the corresponding noise based on the first amplitude and the first phase; the second amplitude of the sound wave parameter is the same as the first amplitude, and the second phase of the sound wave is opposite to the first phase; and matching each parameter in the parameter-noise mapping table with the corresponding sound wave parameter to generate a parameter-inverse sound wave parameter mapping table.

[0010] In a preferred embodiment of the present invention, the above-mentioned reverse phase sound wave phase adjustment based on the reverse phase sound wave parameters through the LMS adaptive filtering algorithm includes: iteratively updating the filtering weights based on the reverse phase sound wave parameters; and dynamically adjusting the phase of the reverse phase sound wave through the iteratively updated filtering algorithm.

[0011] In a preferred embodiment of the present invention, the method further includes: setting noise reduction trigger conditions; if the situation of the new energy bus meets the noise reduction trigger conditions, noise reduction is performed; the noise reduction trigger conditions are at least one of the following conditions: the vehicle's high-voltage battery system is activated and the low-voltage control system voltage is stable, the ambient temperature is higher than -20°C and the altitude is lower than 4000 meters, the motor speed is ≥800r / min, the air-conditioning compressor speed is ≥600r / min, and the wind speed gear is ≥2 gears.

[0012] In the second aspect, an embodiment of the present invention also provides an active noise reduction device for multi-zone noise of an energy bus. The new energy bus includes a motor compartment area, an air-conditioning compressor compartment area and an air duct area on the top of the passenger area. The device includes: a signal acquisition device for collecting the noise signals of the motor compartment area, the air-conditioning compressor compartment area and the air duct area on the top of the passenger area, and collecting the parameter signals of the motor controller in the motor compartment area, the air-conditioning temperature controller in the air-conditioning compressor compartment area and the air-conditioning wind speed controller in the air duct area on the top of the passenger area; a mapping relationship establishment module for establishing a current parameter-noise mapping relationship based on the noise signal and the parameter signal; a mapping table generation module for generating a parameter-inverse sound wave parameter mapping table based on a pre-stored parameter-noise mapping table; an inverse sound wave parameter extraction module for extracting the inverse sound wave parameters corresponding to the current parameter-noise mapping relationship based on the parameter-inverse sound wave parameter mapping table; a noise suppression module for adjusting the inverse sound wave phase through the LMS adaptive filtering algorithm based on the inverse sound wave parameters to obtain an inverse sound wave for suppressing noise.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the noise reduction method for multi-zone noise of new energy buses according to the first aspect above.

[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the noise reduction method for multi-zone noise of new energy buses according to the first aspect above.

[0015] The embodiments of the present invention bring the following beneficial effects:

[0016] Embodiments of the present invention provide a method, device, equipment, and medium for reducing noise in multiple areas of a new energy bus. The method collects noise signals from the motor compartment, air conditioning compressor compartment, and passenger compartment top duct area, as well as parameter signals from the motor controller in the motor compartment, the air conditioning temperature controller in the air conditioning compressor compartment, and the air conditioning wind speed controller in the passenger compartment top duct area. A current parameter-noise mapping relationship is established based on the noise and parameter signals. A parameter-inverted sound wave parameter mapping table is generated based on a pre-stored parameter-noise mapping table. Inverted sound wave parameters corresponding to the current parameter-noise mapping relationship are extracted based on the parameter-inverted sound wave parameter mapping table. Based on the inverted sound wave parameters, the inverted sound wave phase is adjusted using an LMS adaptive filtering algorithm to obtain an inverted sound wave for noise suppression. This method achieves noise reduction in different areas and improves the noise reduction effect.

[0017] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by practicing the above-mentioned technology of the present disclosure.

[0018] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A flowchart of a method for reducing noise in multiple areas of a new energy bus provided by an embodiment of the present invention;

[0021] Figure 2 A flowchart of another method for reducing noise in multiple areas of a new energy bus provided by an embodiment of the present invention;

[0022] Figure 3 A schematic structural diagram of a noise reduction device for multi-zone noise in a new energy bus provided by an embodiment of the present invention;

[0023] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] Noise control is a key factor influencing passenger comfort and vehicle quality during the operation of new energy buses. Noise from traditional buses primarily originates from components such as the motor, air conditioning compressor, and air duct flow. This noise spectrum is broad and distributed across multiple regions.

[0026] In related technologies, active noise reduction systems typically employ a unified noise reduction strategy for the entire vehicle. However, noise sources in new energy buses are distributed across different areas, and the spectral characteristics of these noise sources vary significantly. Therefore, a global strategy struggles to precisely suppress noise characteristics in different areas, resulting in limited noise reduction effectiveness and potentially even the generation of new noise interference due to frequency band conflicts.

[0027] Based on this, an embodiment of the present invention provides a noise reduction method, device, equipment, and medium for multiple regions of a new energy bus. The method collects noise signals from the motor compartment, air conditioning compressor compartment, and passenger area top duct area, as well as parameter signals from the motor controller in the motor compartment, the air conditioning temperature controller in the air conditioning compressor compartment, and the air conditioning wind speed controller in the passenger area top duct area. A current parameter-noise mapping relationship is established based on the noise signal and the parameter signal. A parameter-inverted sound wave parameter mapping table is generated based on a pre-stored parameter-noise mapping table. Inverted sound wave parameters corresponding to the current parameter-noise mapping relationship are extracted based on the parameter-inverted sound wave parameter mapping table. Based on the inverted sound wave parameters, the inverted sound wave phase is adjusted using an LMS adaptive filtering algorithm to obtain an inverted sound wave for noise suppression. This method achieves noise reduction in different regions and improves the noise reduction effect.

[0028] To facilitate understanding of this embodiment, a method for reducing multi-region noise of a new energy bus disclosed in an embodiment of the present invention is first introduced in detail.

[0029] Example 1

[0030] The embodiment of the present invention provides a method for reducing noise in multiple areas of a new energy bus. Figure 1 This is a flow chart of a method for reducing noise in multiple areas of a new energy bus provided by an embodiment of the present invention. Figure 1 As shown, the new energy bus includes a motor compartment area, an air conditioning compressor compartment area, and an air duct area on the top of the passenger area. The noise reduction method for the new energy bus in multiple areas may include the following steps:

[0031] Step S101, collecting the noise signals of the motor compartment area, the air conditioning compressor compartment area and the air duct area on the top of the passenger area, and collecting the parameter signals of the motor controller in the motor compartment area, the air conditioning temperature controller in the air conditioning compressor compartment area and the air conditioning wind speed controller in the air duct area on the top of the passenger area.

[0032] Among them, collecting the respective noise signals of the motor compartment area, the air-conditioning compressor compartment area and the air duct area on the top of the passenger area can include: collecting the respective noise signals of the motor compartment area, the air-conditioning compressor compartment area and the air duct area on the top of the passenger area through a MEMS microphone array; wherein, four microphones are arranged in a tetrahedron in the motor compartment area, covering noise signals of 20-2000Hz; two microphones are arranged in the air-conditioning compressor compartment area, focusing on noise signals of 500-3000Hz; and multiple microphones are arranged in a linear array in the air duct area on the top of the passenger area to monitor noise signals of 200-5000Hz.

[0033] Among them, the parameter signal may include a speed signal, a temperature signal and a wind speed signal; collecting the parameter signals of the motor controller in the motor compartment area, the air-conditioning temperature controller in the air-conditioning compressor compartment area and the air-conditioning wind speed controller in the top air duct area of the passenger area may include: obtaining the speed signal corresponding to the motor controller through the CAN bus; obtaining the temperature signal corresponding to the air-conditioning temperature controller through the CAN bus; obtaining the wind speed signal corresponding to the air-conditioning wind speed controller through the CAN bus.

[0034] Step S102: establishing a current parameter-noise mapping relationship based on the noise signal and the parameter signal.

[0035] Among them, the method of establishing the parameter-noise mapping table may include: collecting the first noise spectrum of the motor controller at each speed through the microphone in the motor compartment area; collecting the second noise spectrum of the air-conditioning temperature controller at each temperature through the microphone in the air-conditioning compressor compartment area; collecting the third noise spectrum of the air-conditioning wind speed controller at each wind speed range through the microphone in the top air duct area of the passenger area; based on the first noise spectrum, the second noise spectrum and the third noise spectrum, establishing the correspondence between the noise signal and the speed signal, the temperature signal and the wind speed signal respectively, to obtain the parameter-noise mapping table.

[0036] For ease of understanding, the following Table 1 is a motor speed-noise mapping table, the following Table 2 is a compressor speed-noise mapping table, and the following Table 3 is a wind speed-noise mapping table.

[0037] Table 1: Motor speed-noise mapping table

[0038]

[0039] Table 2: Compressor speed-noise mapping table

[0040]

[0041] Table 3: Wind speed-noise mapping table

[0042]

[0043] Step S103 : generating a parameter-inverse phase sound wave parameter mapping table based on a pre-stored parameter-noise mapping table.

[0044] Among them, generating a parameter-inverse sound wave parameter mapping table based on a pre-stored parameter-noise mapping table can include: determining the first amplitude and first phase of each noise in the parameter-noise mapping table; generating sound wave parameters of the corresponding noise based on the first amplitude and first phase; the second amplitude of the sound wave parameter is the same as the first amplitude, and the second phase of the sound wave is opposite to the first phase; and matching each parameter in the parameter-noise mapping table with the corresponding sound wave parameter to generate a parameter-inverse sound wave parameter mapping table.

[0045] Step S104 : extracting the inverse phase sound wave parameters corresponding to the current parameter-noise mapping relationship based on the parameter-inverse phase sound wave parameter mapping table.

[0046] Step S105 , performing phase adjustment on the inverted sound wave through an LMS adaptive filtering algorithm based on the inverted sound wave parameters to obtain an inverted sound wave for suppressing noise.

[0047] Among them, the anti-phase sound wave can be single-frequency anti-phase or multi-frequency synthesis. Single-frequency anti-phase: for each characteristic frequency f, generate a sine wave: s(t) = -Asin(2Πft+θ); Multi-frequency synthesis: if there are multiple characteristic frequencies superimposed, the anti-phase component:

[0048] Among them, the reverse sound waves can be sent to the speaker and played through the speaker to suppress the noise.

[0049] Furthermore, a noise reduction unit may be provided. Regarding the position of the noise reduction unit:

[0050] (1) Motor compartment area

[0051] Sensor arrangement: Three MEMS microphones are arranged in a triangle 50 cm above the motor housing.

[0052] Actuator arrangement: Four compact loudspeakers (80 mm in diameter) are arranged longitudinally along the motor compartment ceiling, with the secondary sound source 60-80 cm away from the main noise source.

[0053] (2) Air conditioning compressor compartment (front compartment)

[0054] Sensor placement: 2 waterproof microphones are located next to the compressor inlet / outlet pipes.

[0055] Actuator arrangement: 2 dedicated speakers are installed on both sides of the compressor.

[0056] (3) Passenger compartment air duct area

[0057] Sensor layout: Three dedicated microphones for airflow noise are arranged at equal distances in the top air duct.

[0058] Actuator layout: 5 flat-panel speakers are embedded in the upper edge of the air duct outlet, and the speakers are tilted 15° towards the passenger ear area.

[0059] The method may further include: setting noise reduction trigger conditions; if the situation of the new energy bus meets the noise reduction trigger conditions, noise reduction is performed; the noise reduction trigger conditions are at least one of the following conditions: the vehicle's high-voltage battery system is activated and the low-voltage control system voltage is stable, the ambient temperature is higher than -20°C and the altitude is lower than 4,000 meters, the motor speed is ≥800r / min, the air-conditioning compressor speed is ≥600r / min, and the wind speed gear is ≥2 gears.

[0060] The method for reducing noise in multiple areas of a new energy bus provided by an embodiment of the present invention collects noise signals from the motor compartment, the air conditioning compressor compartment, and the air duct area above the passenger area, as well as parameter signals from the motor controller in the motor compartment, the air conditioning temperature controller in the air conditioning compressor compartment, and the air conditioning wind speed controller in the air duct area above the passenger area. A current parameter-noise mapping relationship is established based on the noise and parameter signals. A parameter-inverted sound wave parameter mapping table is generated based on a pre-stored parameter-noise mapping table. The inverted sound wave parameters corresponding to the current parameter-noise mapping relationship are extracted based on the parameter-inverted sound wave parameter mapping table. Based on the inverted sound wave parameters, the inverted sound wave phase is adjusted using an LMS adaptive filtering algorithm to obtain an inverted sound wave for noise suppression. This method achieves noise reduction in different areas and improves the noise reduction effect.

[0061] Example 2

[0062] An embodiment of the present invention also provides another method for reducing noise in multiple areas of new energy buses; this method is implemented on the basis of the method in the above embodiment; this method focuses on describing the specific implementation method of adjusting the phase of the inverted sound wave based on the inverted sound wave parameters through the LMS adaptive filtering algorithm.

[0063] Figure 2 This is a flow chart of another method for reducing noise in multiple areas of a new energy bus provided by an embodiment of the present invention, such as Figure 2 As shown, the phase adjustment of the reverse phase sound wave by the LMS adaptive filtering algorithm based on the reverse phase sound wave parameters may include the following steps:

[0064] Step S201 : iteratively updating the filter weights based on the inverse sound wave parameters.

[0065] Before step S201, a signal definition may be performed as follows:

[0066] Reference signal (x(n)): The original noise signal acquired by the noise acquisition module (such as a MEMS microphone).

[0067] Secondary path (S(z)): Physical transfer function from loudspeaker to error microphone (needs to be calibrated in advance).

[0068] Error signal (e(n)): The signal detected by the microphone after noise reduction, which is the actual noise reduction effect feedback.

[0069] The anti-phase sound wave (y(n)): generated by the adaptive filter and output through the speaker.

[0070] Among them, the filter weights are updated after the signal is defined (the core of the LMS algorithm is to iteratively update the filter weights W(n) through the gradient descent method).

[0071] Step S202 : Dynamically adjust the phase of the anti-phase sound wave using the iteratively updated filtering algorithm.

[0072] Specifically, the filter weight update mainly includes: anti-phase sound wave generation, error signal calculation and weight iterative update.

[0073] Among them, the anti-phase sound wave is generated: y(n) = W T (n)·X(n); where X(n) is the delayed vector (historical data) of the reference signal, and W(n) is the weight coefficient of the current filter.

[0074] The error signal is calculated as follows: e(n) = d(n) - y′(n); d(n) is the original noise signal (without noise reduction), and y′n is the actual effect of the anti-phase sound wave after passing through the secondary path (y′(n) = y(n)*S(z)).

[0075] The weights are iteratively updated as follows: W(n+1)=W(n)+μ·e(n); μ is the step size factor (a trade-off between convergence speed and stability, requiring experimental calibration). By continuously adjusting W(n), the mean square value of the error signal e(n) is minimized.

[0076] Specifically, dynamic phase adjustment involves secondary path compensation: Since the physical path from the speaker to the microphone (S(z)) introduces phase delay, the secondary path model needs to be pre-stored in the filter Pre-filter the reference signal This ensures that the phase of the anti-phase sound wave accurately matches the noise signal in the target area.

[0077] The above-mentioned embodiment achieves targeted suppression of multi-band noise through independent control of the motor compartment, air-conditioning area, and passenger area, avoiding frequency conflicts caused by global strategies. A pre-calibration mechanism based on speed-noise mapping and an LMS adaptive algorithm significantly improve the tracking accuracy and real-time performance of high-frequency motor noise.

[0078] Example 3

[0079] Corresponding to the above method embodiment, the embodiment of the present invention provides a noise reduction device for multi-region noise of new energy buses, Figure 3 A schematic diagram of a noise reduction device for a new energy bus with multiple zones of noise provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, the new energy bus includes a motor compartment area, an air conditioning compressor compartment area, and an air duct area on the top of the passenger area. The noise reduction device for the new energy bus in multiple areas may include:

[0080] The signal acquisition device 301 is used to collect the noise signals of the motor compartment area, the air-conditioning compressor compartment area and the air duct area on the top of the passenger area, as well as the parameter signals of the motor controller in the motor compartment area, the air-conditioning temperature controller in the air-conditioning compressor compartment area and the air-conditioning wind speed controller in the air duct area on the top of the passenger area.

[0081] The mapping relationship establishing module 302 is configured to establish a current parameter-noise mapping relationship based on the noise signal and the parameter signal.

[0082] The mapping table generating module 303 is configured to generate a parameter-inverse phase sound wave parameter mapping table based on a pre-stored parameter-noise mapping table.

[0083] The reverse phase acoustic wave parameter extraction module 304 is configured to extract reverse phase acoustic wave parameters corresponding to a current parameter-noise mapping relationship based on a parameter-reverse phase acoustic wave parameter mapping table.

[0084] The noise suppression module 305 is used to adjust the phase of the inverted sound wave through the LMS adaptive filtering algorithm based on the inverted sound wave parameters to obtain the inverted sound wave for noise suppression.

[0085] The noise reduction device for multiple regions of a new energy bus provided by an embodiment of the present invention can collect noise signals from the motor compartment area, the air conditioning compressor compartment area, and the air duct area on top of the passenger area, as well as parameter signals from the motor controller in the motor compartment area, the air conditioning temperature controller in the air conditioning compressor compartment area, and the air conditioning wind speed controller in the air duct area on top of the passenger area. Based on the noise signals and parameter signals, a current parameter-noise mapping relationship is established. A parameter-inverted sound wave parameter mapping table is generated based on a pre-stored parameter-noise mapping table. Based on the parameter-inverted sound wave parameter mapping table, inverted sound wave parameters corresponding to the current parameter-noise mapping relationship are extracted. Based on the inverted sound wave parameters, the inverted sound wave phase is adjusted using the LMS adaptive filtering algorithm to obtain an inverted sound wave for noise suppression. In this way, noise reduction is achieved in different regions, and the noise reduction effect is improved.

[0086] In some embodiments, the signal acquisition module is also used to collect noise signals from the motor compartment area, the air-conditioning compressor compartment area and the air duct area on the top of the passenger area through a MEMS microphone array; wherein, four microphones are arranged in a tetrahedron in the motor compartment area, covering noise signals from 20 to 2000 Hz; two microphones are arranged in the air-conditioning compressor compartment area, focusing on noise signals from 500 to 3000 Hz; and multiple microphones are arranged in a linear array in the air duct area on the top of the passenger area to monitor noise signals from 200 to 5000 Hz.

[0087] In some embodiments, the parameter signal includes a speed signal, a temperature signal and a wind speed signal. The signal acquisition module is also used to obtain the speed signal corresponding to the motor controller through the CAN bus; obtain the temperature signal corresponding to the air conditioning temperature controller through the CAN bus; and obtain the wind speed signal corresponding to the air conditioning wind speed controller through the CAN bus.

[0088] In some embodiments, the mapping relationship establishment module is also used to collect the first noise spectrum of the motor controller at each speed through the microphone in the motor compartment area; collect the second noise spectrum of the air-conditioning temperature controller at each temperature through the microphone in the air-conditioning compressor compartment area; collect the third noise spectrum of the air-conditioning wind speed controller at each wind speed range through the microphone in the top air duct area of the passenger area; based on the first noise spectrum, the second noise spectrum and the third noise spectrum, establish the correspondence between the noise signal and the speed signal, the temperature signal and the wind speed signal respectively, and obtain a parameter-noise mapping table.

[0089] In some embodiments, the mapping table generation module is also used to determine the first amplitude and first phase of each noise in the parameter-noise mapping table; generate the sound wave parameters of the corresponding noise based on the first amplitude and first phase; the second amplitude of the sound wave parameter is the same as the first amplitude, and the second phase of the sound wave is opposite to the first phase; each parameter in the parameter-noise mapping table is matched with the corresponding sound wave parameter to generate a parameter-inverse sound wave parameter mapping table.

[0090] In some embodiments, the noise suppression module is further configured to iteratively update the filter weights based on the anti-phase sound wave parameters; and dynamically adjust the phase of the anti-phase sound wave through the iteratively updated filtering algorithm.

[0091] In some embodiments, the noise suppression module is also used to set noise reduction trigger conditions; if the situation of the new energy bus meets the noise reduction trigger conditions, noise reduction is performed; the noise reduction trigger conditions are at least one of the following conditions: the vehicle's high-voltage battery system is activated and the low-voltage control system voltage is stable, the ambient temperature is higher than -20°C and the altitude is lower than 4000 meters, the motor speed is ≥800r / min, the air-conditioning compressor speed is ≥600r / min, and the wind speed gear is ≥2 gears.

[0092] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0093] Example 4

[0094] The embodiment of the present invention also provides an electronic device for implementing the above-mentioned method for reducing noise in multiple regions of a new energy bus; Figure 4 A structural schematic diagram of an electronic device is shown, which includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned noise reduction method for multi-zone noise of new energy buses.

[0095] Furthermore, Figure 4 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0096] The memory 400 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is achieved through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0097] The processor 401 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in the processor 401 or by software instructions. The above processor 401 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 400, and processor 401 reads the information in memory 400 and, in conjunction with its hardware, completes the steps of the method of the aforementioned embodiment.

[0098] An embodiment of the present invention further provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned method for reducing noise in multiple areas of new energy buses. For specific implementation, please refer to the method embodiment and will not be repeated here.

[0099] The computer program product for the method of reducing noise in multiple areas of a new energy bus provided in an embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. For specific implementation, please refer to the method embodiment and will not be repeated here.

[0100] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0101] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0102] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0103] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0104] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0105] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for reducing noise in multiple areas of a new energy bus, characterized in that: The new energy bus includes a motor compartment area, an air conditioning compressor compartment area, and an air duct area on the top of the passenger area, and the method includes: collecting noise signals from the motor compartment area, the air conditioning compressor compartment area, and the air duct area on top of the passenger area, and collecting parameter signals from the motor controller in the motor compartment area, the air conditioning temperature controller in the air conditioning compressor compartment area, and the air conditioning wind speed controller in the air duct area on top of the passenger area; Establishing a current parameter-noise mapping relationship based on the noise signal and the parameter signal; generating a parameter-inverse phase sound wave parameter mapping table based on a pre-stored parameter-noise mapping table; Extracting the inverse phase acoustic wave parameter corresponding to the current parameter-noise mapping relationship based on the parameter-inverse phase acoustic wave parameter mapping table; Based on the anti-phase sound wave parameters, the phase of the anti-phase sound wave is adjusted by an LMS adaptive filtering algorithm to obtain an anti-phase sound wave for suppressing noise.

2. The method according to claim 1, characterized in that The collecting of noise signals from the motor compartment area, the air conditioning compressor compartment area, and the air duct area on the top of the passenger area includes: The noise signals of the motor compartment area, the air conditioning compressor compartment area, and the air duct area on the top of the passenger area are collected by a MEMS microphone array; Among them, four microphones are arranged in a tetrahedron in the motor compartment area, covering noise signals of 20-2000Hz; two microphones are arranged in the air-conditioning compressor compartment area, focusing on noise signals of 500-3000Hz; and multiple microphones are arranged in a linear array in the air duct area on the top of the passenger area to monitor noise signals of 200-5000Hz.

3. The method according to claim 2, characterized in that The parameter signals include a speed signal, a temperature signal, and a wind speed signal; the collecting of the parameter signals of the motor controller in the motor compartment area, the air conditioning temperature controller in the air conditioning compressor compartment area, and the air conditioning wind speed controller in the air duct area on the top of the passenger area includes: Obtaining a speed signal corresponding to the motor controller via the CAN bus; Acquire the temperature signal corresponding to the air conditioning temperature controller via the CAN bus; The wind speed signal corresponding to the air conditioner wind speed controller is obtained through the CAN bus.

4. The method according to claim 3, characterized in that The parameter-noise mapping table is established in the following manner: collecting a first noise spectrum of the motor controller at each speed through a microphone in the motor compartment area; collecting a second noise spectrum of the air conditioner temperature controller at various temperatures through a microphone in the air conditioner compressor compartment area; collecting a third noise spectrum of the air-conditioning wind speed controller at each wind speed range through a microphone in the air duct area on the top of the passenger area; Based on the first noise spectrum, the second noise spectrum and the third noise spectrum, corresponding relationships between noise signals and rotation speed signals, temperature signals and wind speed signals are established respectively to obtain the parameter-noise mapping table.

5. The method according to claim 4, characterized in that The generating of a parameter-inverse phase sound wave parameter mapping table based on a pre-stored parameter-noise mapping table includes: Determine a first amplitude and a first phase of each noise in the parameter-noise mapping table; generating a sound wave parameter corresponding to the noise based on the first amplitude and the first phase; wherein a second amplitude of the sound wave parameter is the same as the first amplitude, and a second phase of the sound wave is opposite to the first phase; Each parameter in the parameter-noise mapping table is matched with a corresponding sound wave parameter to generate a parameter-inverse sound wave parameter mapping table.

6. The method according to claim 5, characterized in that The step of adjusting the phase of the reverse phase sound wave by using an LMS adaptive filtering algorithm based on the reverse phase sound wave parameters includes: Iteratively updating the filter weights based on the inverted acoustic wave parameters; The phase of the antiphase sound wave is dynamically adjusted through the iteratively updated filtering algorithm.

7. The method according to claim 1, characterized in that The method further comprises: Set the noise reduction trigger conditions; If the condition of the new energy bus meets the noise reduction triggering condition, noise reduction is performed; The noise reduction trigger condition is at least one of the following: the vehicle's high-voltage battery system is activated and the low-voltage control system voltage is stable, the ambient temperature is higher than -20°C and the altitude is lower than 4,000 meters, the motor speed is ≥800r / min, the air-conditioning compressor speed is ≥600r / min, and the wind speed gear is ≥2.

8. An active noise reduction device for multi-zone noise of new energy buses, characterized in that: The new energy bus includes a motor compartment area, an air conditioning compressor compartment area, and an air duct area on the top of the passenger area. The device includes: a signal acquisition device for acquiring noise signals from the motor compartment area, the air conditioning compressor compartment area, and the air duct area on top of the passenger area, and acquiring parameter signals from the motor controller in the motor compartment area, the air conditioning temperature controller in the air conditioning compressor compartment area, and the air conditioning wind speed controller in the air duct area on top of the passenger area; A mapping relationship establishing module, configured to establish a current parameter-noise mapping relationship based on the noise signal and the parameter signal; A mapping table generating module, configured to generate a parameter-inverted phase sound wave parameter mapping table based on a pre-stored parameter-noise mapping table; an inverse phase acoustic wave parameter extraction module, configured to extract the inverse phase acoustic wave parameter corresponding to the current parameter-noise mapping relationship based on the parameter-inverse phase acoustic wave parameter mapping table; The noise suppression module is used to adjust the phase of the inverted sound wave through the LMS adaptive filtering algorithm based on the inverted sound wave parameters to obtain the inverted sound wave for noise suppression.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the noise reduction method for multi-region noise of a new energy bus according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the noise reduction method for multi-region noise of a new energy bus as described in any one of claims 1 to 7.

Images