Particle filter regeneration forbidding method and device, electronic equipment and storage medium

Abstract

The invention provides a regeneration forbidding method and device of a particle filter, electronic equipment and a storage medium, and belongs to the technical field of automobiles. The method comprises the steps that data of a scene where a vehicle is located currently is obtained; inputting the scene data into a trained short feature counter to obtain a short feature recognition result, and inputting the road condition data into a trained long feature counter to obtain a long feature recognition result; performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene where the vehicle is currently located; and controlling the particulate filter to be prohibited from entering a regeneration state under the condition of determining that the particulate filter of the vehicle meets a regeneration prohibition condition based on the identification result. When it is determined that the particulate filter meets the regeneration forbidding condition, the particulate filter is controlled to be forbidden to enter the regeneration state, and the technical problem that an existing regeneration strategy of the particulate filter is not suitable for car use of clients is solved.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a method, a device, an electronic device and a storage medium for prohibiting regeneration of a particle filter. Background Art

[0002] With the upcoming implementation of the National VI emission regulations, diesel engine manufacturers are currently developing National VI diesel engines. In order to reduce NOx and particulate emissions in the engine exhaust, National VI diesel engines are equipped with a post-treatment system of catalytic oxidizer (DOC) + particulate filter (DPF) + selective oxidation reducer (SCR).

[0003] DPF regeneration requires a suitable DOC inlet temperature to achieve the effect of increasing the DPF inlet temperature by injecting fuel after the oxidation source, and only a sufficiently high DPF temperature can react the carbon load in the DPF and complete regeneration. Therefore, in the current regeneration strategy, except for a few low-torque conditions, the DOC inlet temperature is relatively high, which can fully meet the regeneration requirements.

[0004] However, analysis of existing customer vehicle regeneration data shows that regeneration is often triggered multiple times or lasts for more than 2 hours within a single day. This situation increases fuel consumption on the one hand, and affects the customer's driving experience on the other hand, reducing the competitiveness of the vehicle. This phenomenon shows that the current regeneration strategy is not applicable enough for such customer vehicles. Summary of the invention

[0005] In view of this, it is necessary to provide a method, device, electronic device and storage medium for prohibiting regeneration of a particle filter, so as to solve the technical problem that the existing regeneration strategy of the particle filter lacks applicability to customer vehicles.

[0006] In order to solve the above problems, on the one hand, the present invention provides a method for prohibiting regeneration of a particle filter, comprising: Get the scene data where the vehicle is currently located; Input the scene data into a trained short feature counter to obtain a short feature recognition result, and input the road condition data into a trained long feature counter to obtain a long feature recognition result; Performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; When it is determined based on the recognition result of the current scene of the vehicle that the particle filter of the vehicle satisfies the regeneration prohibition condition, the particle filter is controlled to be prohibited from entering the regeneration state.

[0007] In a possible implementation, determining that a particle filter of the vehicle meets a regeneration prohibition condition based on a recognition result of a scene currently located by the vehicle includes: When it is determined that the current carbon load of the particulate filter is within a preset range based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter meets the regeneration prohibition condition.

[0008] In a possible implementation, determining that a particle filter of the vehicle meets a regeneration prohibition condition based on a recognition result of a scene currently located by the vehicle further includes: When it is determined based on the recognition result of the current scene of the vehicle that the particle filter is in a non-regeneration state for M consecutive times within a first target time period and is in a regeneration state before the first target time, it is determined that the particle filter meets the regeneration prohibition condition; M>1.

[0009] In a possible implementation, the method for prohibiting regeneration of a particle filter further includes: When it is determined based on the recognition result of the current scene of the vehicle that the particle filter satisfies the regeneration condition for N consecutive times within the second target time period, it is determined that the particle filter does not satisfy the regeneration prohibition condition; N>1.

[0010] In a possible implementation, the method for prohibiting regeneration of a particle filter further includes: When it is determined that the particulate filter has entered a regeneration state based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter does not satisfy a regeneration prohibition condition.

[0011] In a possible implementation, the method for prohibiting regeneration of a particle filter further includes: Before it is determined that the particulate filter satisfies a regeneration prohibition condition, the particulate filter is controlled to be prohibited from entering a regeneration state.

[0012] In a possible implementation, the scene data is input into a trained short feature counter to obtain a short feature recognition result, and the road condition data is input into a trained long feature counter to obtain a long feature recognition result, including: According to the set time interval, the scene data at different times are input into the trained short feature counter to obtain the short feature recognition results at different times, and the road condition data at different times are input into the trained long feature counter to obtain the long feature recognition results at different times.

[0013] On the other hand, the present invention also provides a device for prohibiting regeneration of a particle filter, comprising: An acquisition module is used to obtain the scene data where the vehicle is currently located; A recognition module, used for inputting the scene data into a trained short feature counter to obtain a short feature recognition result, and inputting the road condition data into a trained long feature counter to obtain a long feature recognition result; A weighted calculation module, used for performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene in which the vehicle is currently located; The control module is used to control the particle filter to prohibit entering a regeneration state when it is determined that the particle filter of the vehicle meets a regeneration prohibition condition based on an identification result of a current scene of the vehicle.

[0014] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the method for prohibiting regeneration of the particulate filter as described in any one of the above.

[0015] On the other hand, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the method for prohibiting regeneration of a particulate filter as described in any one of the above are implemented.

[0016] The beneficial effects of adopting the above implementation are as follows: the particle filter regeneration prohibition method, device, electronic device and storage medium provided by the present invention obtain a short feature recognition result by inputting scene data into a trained short feature counter, and obtains a long feature recognition result by inputting the road condition data into a trained long feature counter; the short feature recognition result and the long feature recognition result are weighted to obtain the recognition result of the scene currently in which the vehicle is located; when it is determined based on the recognition result of the scene currently in which the vehicle is located that the particle filter of the vehicle meets the regeneration prohibition condition, the particle filter is controlled to prohibit entering the regeneration state. The scene data of the vehicle can be the vehicle running road condition, the scene data is identified based on the trained short feature counter and the long feature recognition result, and it is determined whether the particle filter meets the regeneration prohibition condition according to the recognition result. If it is satisfied, the particle filter is controlled to prohibit entering the regeneration state, so as to avoid the particle filter triggering regeneration multiple times or the regeneration duration being long, which not only reduces fuel consumption but also improves the driving experience of customers, thereby solving the technical problem that the existing regeneration strategy of the particle filter lacks applicability to customers' vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flow chart of an embodiment of a method for prohibiting regeneration of a particle filter provided by the present invention; Figure 2 A schematic diagram of vehicle speed for the working mechanism of LPM and SPM in the PEMS road condition provided by the present invention; Figure 3 A principle block diagram of an embodiment of a device for prohibiting regeneration of a particle filter provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present application, unless otherwise specified, “plurality” means two or more than two.

[0021] The terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or equipment comprising a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or equipment.

[0022] The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0023] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0024] The present invention provides a method, device, electronic device and storage medium for prohibiting regeneration of a particle filter, which are respectively described below.

[0025] like Figure 1 As shown, the present invention provides a method for prohibiting regeneration of a particle filter, comprising: S101, obtaining scene data of the vehicle's current location; the scene data may be road condition data of the vehicle; S102, inputting the scene data into a trained short feature counter to obtain a short feature recognition result, and inputting the road condition data into a trained long feature counter to obtain a long feature recognition result; S103, performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; S104: When it is determined based on the recognition result of the current scene of the vehicle that the particle filter of the vehicle satisfies a regeneration prohibition condition, control the particle filter to prohibit entering a regeneration state.

[0026] It can be understood that the purpose of this application is to identify customer vehicle usage habits through machine learning and prohibit regeneration when it is not suitable, thereby improving the competitiveness of the vehicle.

[0027] In the early development, the calibration of the intelligent EP has been completed (selecting the appropriate mode according to the vehicle operation scenario, taking into account both power and fuel economy). The intelligent EP has a scene recognition function, and has reserved 10 scene libraries (#1-#10, with scene priorities of #1>#2…>#9>#10), as well as an initialized default scene (#0). The intelligent prohibition of regeneration condition judgment uses the recognition result of scene library #10 in scene recognition. That is, the scene corresponding to scene library #10 will be calibrated as a scene that is not suitable for regeneration, such as low speed and frequent idling and parking scenes such as engineering vehicles / reversing.

[0028] To achieve the above purpose, the solution of this application is: import the learned scene recognition model (short feature counter and long feature counter) into the ECU (electronic control unit) data, and the vehicle will automatically identify and calculate during operation, and output a scene parameter at each moment (currently there are #0-#10 in the scene library, and the #10 scene is defined as a prohibited regeneration scene). Then, the prohibition of regeneration judgment logic is performed in this scene.

[0029] When a regeneration request is triggered, the current scene output will be determined. If it is scene #10, regeneration is prohibited. When the vehicle exits scene #10 and enters other scenes during operation, the prohibition of regeneration is lifted and the vehicle enters normal regeneration state. If it is still in scene #10, when the carbon load reaches a limit, the prohibition of regeneration logic will fail to ensure safety.

[0030] In some embodiments, determining that a particle filter of the vehicle meets a regeneration prohibition condition based on a recognition result of a scene currently located by the vehicle includes: When it is determined that the current carbon load of the particulate filter is within a preset range based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter meets the regeneration prohibition condition.

[0031] It is understandable that if the carbon load of the vehicle is between 4 and 5 g / L, indicating that the regeneration conditions are met, the upper limit value of the preset range can be set to 4.5 g / L and the lower limit value can be set to 4 g / L.

[0032] In some embodiments, determining that a particle filter of the vehicle meets a regeneration prohibition condition based on the recognition result of the scene currently located by the vehicle further includes: When it is determined based on the recognition result of the current scene of the vehicle that the particle filter is in a non-regeneration state for M consecutive times within a first target time period and is in a regeneration state before the first target time, it is determined that the particle filter meets the regeneration prohibition condition; M>1.

[0033] It can be understood that the first target time period can be 7 minutes from the current moment. If the particle filter is in a regeneration state at the current moment, and this occurs twice within 7 consecutive minutes thereafter, that is, M=2, and the particle filter is determined to be non-regenerative, then the regeneration prohibition condition is updated to regeneration prohibition, and the counter is reset.

[0034] In some embodiments, the method for inhibiting regeneration of a particulate filter further includes: When it is determined based on the recognition result of the current scene of the vehicle that the particle filter satisfies the regeneration condition for N consecutive times within the second target time period, it is determined that the particle filter does not satisfy the regeneration prohibition condition; N>1.

[0035] It is understandable that the second target time period may be within 10 minutes after the current moment, N may be 3, and if the regeneration condition is met at least 3 times within 10 minutes, it is determined that the particulate filter does not meet the regeneration prohibition condition.

[0036] In some embodiments, the method for inhibiting regeneration of a particulate filter further includes: When it is determined that the particulate filter has entered a regeneration state based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter does not satisfy a regeneration prohibition condition.

[0037] It can be understood that, in order to avoid logic conflicts, if the particulate filter has currently entered the regeneration state, the regeneration prohibition condition is maintained in the cancel state, and the regeneration is not actively interrupted.

[0038] In some embodiments, the method for inhibiting regeneration of a particulate filter further includes: Before it is determined that the particulate filter satisfies a regeneration prohibition condition, the particulate filter is controlled to be prohibited from entering a regeneration state.

[0039] It is understandable that in order to accumulate enough data, it takes a certain amount of time to give the first judgment result for the scene. The premise for giving the first judgment result for the scene is that the flag Flag_Combine_Ready=True. Before the flag is True, it is always considered that the regeneration prohibition condition is met and the particle filter is prohibited from entering the regeneration state.

[0040] In some embodiments, the scene data is input into a trained short feature counter to obtain a short feature recognition result, and the road condition data is input into a trained long feature counter to obtain a long feature recognition result, including: According to the set time interval, the scene data at different times are input into the trained short feature counter to obtain the short feature recognition results at different times, and the road condition data at different times are input into the trained long feature counter to obtain the long feature recognition results at different times.

[0041] In some embodiments: The recognition result of scene #10 is True or False, which is based on the "weighted feature statistics of the long feature counter (LPM) and the short feature counter (SPM). That is: The short feature counter will update the statistical results every certain period of time (the default calibration is 3 minutes, that is, SPM_Acc_Time=3min), and clear the counter to collect data again. Before the next update, the output results of SPM will remain the results of the last update. The time of SPM update can be determined by Timer≥SPM_Acc_Time in SPM_Output_and_Clear.

[0042] The long feature counter will continue to output results after reaching the minimum data collection time (the default calibration is 3 minutes, that is, Eff_First=3min). The counter will clear and collect data again at intervals (the default calibration is 2 hours, that is, LPM_Acc_Time=2h) or when the vehicle speed = 0 for a period of time (the default calibration is 3 minutes, that is, LPM_Acc_Stop_Time=3min). Before reaching the minimum data collection time again, LPM will output the value at the last moment before clearing.

[0043] At each moment, the weighting is calculated based on the feature results of SPM and LPM (the default LPM weight is LPM_Weight=0.3), and the scenario #10 is judged to be True or False based on the weighted result.

[0044] Specifically Figure 2 Taking the vehicle speed characteristics in the PEMS (Portable Emission Measurement System) road conditions shown in the figure as an example, the working mechanism of LPM and SPM is further explained, namely: LPM counts the comprehensive characteristics of the current driving cycle and continuously updates the statistical results, but the characteristics respond slowly after entering rural and highway roads.

[0045] SPM updates the statistical results every 3 minutes and can quickly respond to feature changes after entering rural and highway conditions, but it forgets all features from 3 minutes ago.

[0046] Therefore, the final scenario is determined based on the comprehensive result obtained by weighting LPM and SPM to take into account both continuity and responsiveness.

[0047] In order to accumulate enough data, it takes some time to give the first judgment result of the scene. The premise for giving the first judgment result of the scene is that the flag Flag_Combine_Ready=True. Before this flag is True, it is always considered that the regeneration prohibition condition is met and the regeneration state is prohibited. Once Flag_Combine_Ready is True: The current carbon load is between the range AB (assuming 4-5g / L driving regeneration, B is expected to be calibrated to 4.5g / L), (default) the regeneration condition is prohibited regeneration, and regeneration is not possible. If the continuous time m (m=10min, that is, at least 3 SPM updates occur) is found to be regenerative (the judgment result of scene #10 is False), the prohibition of regeneration condition is cancelled. Once the state is switched, the counter m is cleared, the prohibition of regeneration condition is cancelled, and regeneration is possible. If the current state is regeneration, if the continuous time n (n=7min, that is, at least 2 SPM updates occur, n can be calibrated) is found to be non-regenerative (the judgment result of scene #10 is True), the regeneration prohibition condition is updated to regeneration prohibition, and the counter n is cleared. At the same time, in order to avoid logical conflicts, if regeneration is currently entered, the prohibition of regeneration condition remains in the canceled state and regeneration is not actively interrupted. At the same time, for safety reasons, when the carbon load is higher than B, the prohibition of regeneration condition is cancelled, and regeneration is possible.

[0048] like Figure 3 As shown, the present invention also provides a particle filter regeneration prohibition device 300, comprising: The acquisition module 301 is used to acquire the scene data where the vehicle is currently located; The recognition module 302 is used to input the scene data into a trained short feature counter to obtain a short feature recognition result, and input the road condition data into a trained long feature counter to obtain a long feature recognition result; A weighted calculation module 303 is used to perform weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene in which the vehicle is currently located; The control module 304 is configured to control the particle filter to be prohibited from entering a regeneration state when it is determined that the particle filter of the vehicle meets a regeneration prohibition condition based on the recognition result of the current scene of the vehicle.

[0049] The device for prohibiting regeneration of a particle filter provided in the above embodiment can implement the technical solution described in the above embodiment of the method for prohibiting regeneration of a particle filter. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the method for prohibiting regeneration of a particle filter, which will not be repeated here.

[0050] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0051] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0052] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0053] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run program codes or process data stored in the memory 402, such as the method for prohibiting regeneration of the particulate filter in the present invention.

[0054] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information on the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0055] In some embodiments of the present invention, when the processor 401 executes the particle filter regeneration prohibition program in the memory 402, the following steps may be implemented: Get the scene data where the vehicle is currently located; Input the scene data into a trained short feature counter to obtain a short feature recognition result, and input the road condition data into a trained long feature counter to obtain a long feature recognition result; Performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; When it is determined based on the recognition result of the current scene of the vehicle that the particle filter of the vehicle satisfies the regeneration prohibition condition, the particle filter is controlled to be prohibited from entering the regeneration state.

[0056] It should be understood that: when the processor 401 executes the particle filter regeneration prohibition program in the memory 402, in addition to the above functions, other functions may also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0057] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0058] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for prohibiting regeneration of a particle filter provided by the above methods is implemented, and the method comprises: Get the scene data where the vehicle is currently located; Input the scene data into a trained short feature counter to obtain a short feature recognition result, and input the road condition data into a trained long feature counter to obtain a long feature recognition result; Performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; When it is determined based on the recognition result of the current scene of the vehicle that the particle filter of the vehicle satisfies the regeneration prohibition condition, the particle filter is controlled to be prohibited from entering the regeneration state.

[0059] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0060] The above is a detailed introduction to the method, device, electronic device and storage medium for prohibiting regeneration of the particle filter provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for prohibiting regeneration of a particulate filter, characterized in that: include: Get the scene data where the vehicle is currently located; Inputting the scene data into a trained short feature counter to obtain a short feature recognition result, and inputting the road condition data into a trained long feature counter to obtain a long feature recognition result; Performing weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; When it is determined based on the recognition result of the current scene of the vehicle that the particulate filter of the vehicle meets the regeneration prohibition condition, the particulate filter is controlled to be prohibited from entering the regeneration state.

2. The method for prohibiting regeneration of a particulate filter according to claim 1, characterized in that: Determining, based on the recognition result of the current scene of the vehicle, that a particulate filter of the vehicle meets a regeneration prohibition condition includes: When it is determined based on the recognition result of the current scene of the vehicle that the current carbon load of the particulate filter is within a preset range, it is determined that the particulate filter meets the regeneration prohibition condition.

3. The method for prohibiting regeneration of a particulate filter according to claim 2, wherein: Determining, based on the recognition result of the current scene of the vehicle, that the particulate filter of the vehicle meets the regeneration prohibition condition, further includes: If, based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter has been in a non-regeneration state for M consecutive times within a first target time period and has been in a regeneration possible state before the first target time, it is determined that the particulate filter meets a regeneration prohibition condition; M>1.

4. The method for prohibiting regeneration of a particulate filter according to claim 1, wherein: Also includes: If it is determined based on the recognition result of the current scene of the vehicle that the particulate filter satisfies the regeneration condition N times in a second target time period, it is determined that the particulate filter does not meet the regeneration prohibition condition; N>1.

5. The method for prohibiting regeneration of a particulate filter according to claim 1, wherein: Also includes: When it is determined that the particulate filter has entered a regeneration state based on the recognition result of the current scene of the vehicle, it is determined that the particulate filter does not meet a regeneration prohibition condition.

6. The method for prohibiting regeneration of a particulate filter according to claim 1, wherein: Also includes: Before it is determined that the particulate filter satisfies a regeneration prohibition condition, the particulate filter is controlled to be prohibited from entering a regeneration state.

7. The method for prohibiting regeneration of a particulate filter according to any one of claims 1 to 6, characterized in that: Inputting the scene data into a trained short feature counter to obtain a short feature recognition result, and inputting the road condition data into a trained long feature counter to obtain a long feature recognition result, including: According to the set time interval, the scene data at different times are input into the trained short feature counter to obtain the short feature recognition results at different times, and the road condition data at different times are input into the trained long feature counter to obtain the long feature recognition results at different times.

8. A device for prohibiting regeneration of a particulate filter, characterized in that: include: The acquisition module is used to obtain the scene data where the vehicle is currently located; A recognition module, configured to input the scene data into a trained short feature counter to obtain a short feature recognition result, and input the road condition data into a trained long feature counter to obtain a long feature recognition result; A weighted calculation module, configured to perform weighted calculation on the short feature recognition result and the long feature recognition result to obtain a recognition result of the scene currently located by the vehicle; The control module is configured to control the particle filter to prohibit it from entering a regeneration state when it is determined that the particle filter of the vehicle meets a regeneration prohibition condition based on an identification result of a current scene of the vehicle.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein, The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the method for prohibiting regeneration of a particulate filter according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for inhibiting regeneration of a particulate filter according to any one of claims 1 to 7 are implemented.

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