User driving vehicle assembly efficiency determination method, apparatus, device and medium

Abstract

The application provides a driving vehicle assembly efficiency determination method, device, equipment and medium for a user, comprising: performing feature processing on a plurality of real-time vehicle data information under different regional working conditions to determine vehicle feature information under different regional working conditions; for each regional working condition, performing segmented measurement on a plurality of input torque feature information and a plurality of input speed feature information in the vehicle feature information under the regional working condition to determine input power of the driving vehicle under the regional working condition; for each regional working condition, performing segmented measurement on a plurality of output torque feature information and a plurality of output speed feature information in the vehicle feature information under the regional working condition to determine output power of the driving vehicle under the regional working condition; and based on the input power and the output power of the driving vehicle under each regional working condition, determining assembly efficiency of the driving vehicle under a plurality of regional working conditions. The segmented measurement of torque and speed improves the accuracy of the determination of the assembly efficiency.

Description

Technical Field

[0001] This application relates to the field of automotive technology, and in particular to methods, apparatus, equipment and media for determining the efficiency of a user's driving vehicle assembly. Background Technology

[0002] Currently, many assembly full-condition efficiency tests are conducted on a test bench simulating WLTC / NEDC, measuring input and output torque and speed. This method has two problems: First, WLTC / NEDC conditions only represent the operating conditions of most users and cannot differentiate between the common road conditions of users in different regions. Second, because the torque coverage of assemblies is large, single-range torque and speed sensors are generally used during testing. To cover the full torque and speed range, large-range torque and speed sensors are selected, resulting in inaccurate determination of the vehicle's assembly efficiency and consequently, an inability to accurately match the corresponding optimization strategy to the user's vehicle. Therefore, improving the accuracy of determining the user's vehicle assembly efficiency has become a significant technical challenge. Summary of the Invention

[0003] In view of this, the purpose of this application is to provide a method, apparatus, equipment and medium for determining the efficiency of a user's vehicle assembly. By extracting the user's driving habits under different regional operating conditions, and providing conditions for subsequent customization of vehicle assembly efficiency for different regional operating conditions, the determination of vehicle assembly efficiency is made more accurate. By measuring torque and speed in segments, the accuracy of assembly efficiency determination is improved.

[0004] In one possible implementation, the method for determining the efficiency of the driving vehicle assembly includes:

[0005] The working status of the user's vehicle during driving is determined, and multiple real-time vehicle data information of the vehicle with normal working status under different regional working conditions are obtained. Feature processing is performed on the multiple real-time vehicle data information under different regional working conditions to determine the vehicle feature information under different regional working conditions.

[0006] For each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions.

[0007] For each of the aforementioned regional operating conditions, multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the output power of the driving vehicle under the regional operating conditions.

[0008] Based on the input power and output power of the driving vehicle under each of the aforementioned regional operating conditions, the overall efficiency of the driving vehicle under multiple regional operating conditions is determined.

[0009] In one possible implementation, for each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions, including:

[0010] For each input torque feature, it is detected whether the input torque feature is less than the first torque information. If it is greater than the first torque information, it is detected whether the input torque feature is less than the second torque information. If it is greater than the second torque information, the target input torque feature under the working conditions of this region is determined based on the first torque sensor; wherein, the first torque information is less than the second torque information.

[0011] For each input speed characteristic information, it is detected whether the input speed characteristic information is less than the first speed information. If so, the target input speed characteristic information under the working conditions of this region is determined according to the first speed sensor. If not, the target input speed characteristic information under the working conditions of this region is determined according to the second speed sensor.

[0012] Based on the target input torque characteristic information and the target input speed characteristic information under the operating conditions of this region, the input power of the driving vehicle under the operating conditions of this region is determined.

[0013] In one possible implementation, for each input torque characteristic information, it is detected whether the input torque characteristic information is greater than a first torque information; if it is greater than the first torque information, it is detected whether the input torque characteristic information is less than a second torque information; if it is greater than the second torque information, the target input torque characteristic information under the operating conditions of the region is determined based on the first torque sensor, further comprising:

[0014] If the input torque characteristic information is less than the first torque information, then the target input torque characteristic information under the working conditions of this region is determined based on the second torque sensor.

[0015] If the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined according to the third torque sensor; wherein, the torque measurement range of the first torque sensor, the second torque sensor and the third torque sensor decreases in sequence.

[0016] In one possible implementation, determining the vehicle's overall efficiency under multiple regional operating conditions based on the vehicle's input and output power for each of the regional operating conditions includes:

[0017] The target input power is determined by summing up the input power of the driving vehicle under each of the aforementioned regional operating conditions.

[0018] The output power of the driving vehicle under each of the aforementioned regional operating conditions is accumulated and summed to determine the target output power;

[0019] Based on the target input power and the target output power for each regional operating condition, the efficiency for each regional operating condition is determined.

[0020] The efficiency under multiple regional operating conditions is accumulated and summed to determine the overall efficiency of the driving vehicle under the multiple regional operating conditions.

[0021] In one possible implementation, after determining the vehicle assembly efficiency under multiple regional operating conditions based on the input and output power of the vehicle for each of the regional operating conditions, the vehicle assembly efficiency determination method further includes:

[0022] The target optimization strategy for the vehicle corresponding to the overall efficiency of the vehicle is selected from a set of preset vehicle optimization strategies.

[0023] In one possible implementation, the operating state of the driving vehicle is determined by the following steps;

[0024] The vibration data of the drive axle package of the vehicle being driven is detected to see if it exceeds a preset vibration value during driving.

[0025] If the vibration exceeds the preset value, the vehicle's operating state is abnormal.

[0026] If the preset vibration value is not exceeded, then the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the driving vehicle is detected to be within the preset temperature range during driving.

[0027] If the temperature is not within the preset temperature range, the vehicle is not operating properly.

[0028] If the temperature is within the preset range, the vehicle is operating normally.

[0029] In one possible implementation, the step of performing feature processing on multiple real-time vehicle data information under different regional operating conditions to determine vehicle characteristic information under different regional operating conditions includes:

[0030] Multiple real-time vehicle data information under different regional operating conditions are input into a pre-trained neural network model, and features are extracted from the multiple real-time vehicle data information under different regional operating conditions to determine the vehicle feature information under different regional operating conditions.

[0031] This application provides a user's vehicle assembly efficiency determination device, the vehicle assembly efficiency determination device comprising:

[0032] The feature extraction module is used to determine the working status of the user's driving vehicle during the driving process, obtain multiple real-time vehicle data information of the driving vehicle with normal working status under different regional working conditions, perform feature processing on the multiple real-time vehicle data information under different regional working conditions, and determine the vehicle feature information under different regional working conditions.

[0033] The input power determination module is used to perform segmented measurements on multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under each regional working condition, and determine the input power of the driving vehicle under the regional working condition.

[0034] The output power determination module is used to perform segmented measurements on multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under each regional working condition to determine the output power of the driving vehicle under the regional working condition.

[0035] A determination module is used to determine the overall efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle for each of the regional operating conditions.

[0036] This application embodiment also provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the user's vehicle assembly efficiency determination method described above are performed.

[0037] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the user's vehicle assembly efficiency determination method described above.

[0038] This application provides a method, apparatus, device, and medium for determining the efficiency of a user's driving vehicle assembly. The method includes: determining the operating state of the user's driving vehicle during driving; acquiring multiple real-time vehicle data information of the driving vehicle under different regional operating conditions when the operating state is normal; performing feature processing on the multiple real-time vehicle data information under different regional operating conditions to determine vehicle feature information under different regional operating conditions; for each regional operating condition, performing segmented measurements on multiple input torque feature information and multiple input speed feature information in the vehicle feature information under that regional operating condition to determine the input power of the driving vehicle under that regional operating condition; for each regional operating condition, performing segmented measurements on multiple output torque feature information and multiple output speed feature information in the vehicle feature information under that regional operating condition to determine the output power of the driving vehicle under that regional operating condition; and determining the assembly efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle under each regional operating condition. By extracting users' driving habits under different regional operating conditions, and providing conditions for subsequent customization of vehicle assembly efficiency for different regional operating conditions, the determination of vehicle assembly efficiency becomes more accurate. By measuring torque and speed in segments, the accuracy of assembly efficiency determination is improved.

[0039] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A flowchart illustrating a method for determining the efficiency of a user's driving vehicle assembly, provided as an embodiment of this application;

[0042] Figure 2 This is a schematic diagram of the drive axle of a driving vehicle provided in an embodiment of this application;

[0043] Figure 3 A schematic diagram illustrating a method for determining the efficiency of a user's driving vehicle assembly, provided in an embodiment of this application;

[0044] Figure 4 This is one of the structural schematic diagrams of a user's vehicle assembly efficiency determination device provided in an embodiment of this application;

[0045] Figure 5 A second schematic diagram of a user's vehicle assembly efficiency determination device provided in this application embodiment;

[0046] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0048] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0049] In order to enable those skilled in the art to use the content of this application and combine it with the specific application scenario of "determining the efficiency of the driving vehicle assembly", the following implementation method is given. For those skilled in the art, the general principles defined herein can be applied to other embodiments and application scenarios without departing from the spirit and scope of this application.

[0050] First, the applicable scenarios for this application will be introduced. This application can be applied to the field of automotive technology.

[0051] Research has revealed that current full-condition efficiency tests for many vehicle assemblies are conducted on test benches simulating WLTC / NEDC standards by measuring input and output torque and speed. This method has two problems: First, WLTC / NEDC standards only represent the operating conditions of most users and cannot differentiate between the common road conditions experienced by users in different regions. Second, because the torque range of vehicle assemblies is large, tests typically use single-range torque and speed sensors. To cover the full torque and speed range, large-range torque and speed sensors are often selected, leading to inaccurate determinations of the vehicle's overall efficiency and consequently, an inability to accurately match the user's vehicle with the appropriate optimization strategy. Therefore, improving the accuracy of determining the user's vehicle's overall efficiency has become a significant technical challenge.

[0052] Based on this, the embodiments of this application provide a method for determining the efficiency of a user's vehicle assembly. By extracting the user's driving habits under different regional operating conditions, and providing conditions for subsequent customization of vehicle assembly efficiency for different regional operating conditions, the determination of vehicle assembly efficiency is more accurate. By measuring torque and speed in segments, the accuracy of assembly efficiency determination is improved.

[0053] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for determining the efficiency of a user's driving vehicle assembly, provided as an embodiment of this application. Figure 1 As shown in the embodiments of this application, the method for determining the efficiency of a driving vehicle assembly includes:

[0054] S101: Determine the operating status of the user's vehicle during driving, acquire multiple real-time vehicle data information of the vehicle under different regional operating conditions when the operating status is normal, perform feature processing on the multiple real-time vehicle data information under different regional operating conditions, and determine the vehicle feature information under different regional operating conditions.

[0055] In this step, the working status of the user's vehicle during driving is determined, and multiple real-time vehicle data information of the vehicle with normal working status under different regional working conditions is obtained. Feature processing is performed on the multiple real-time vehicle data information under different regional working conditions to determine the vehicle feature information under different regional working conditions.

[0056] Here, regional operating conditions include urban operating conditions, suburban operating conditions, mountainous operating conditions, and comprehensive operating conditions.

[0057] Among them, real-time vehicle data information includes input torque information, output torque information, input speed information, and output speed information when driving the vehicle under different regional operating conditions.

[0058] In one possible implementation, the operating state of the driving vehicle is determined through the following steps:

[0059] A: Detect whether the vibration data of the drive axle package of the vehicle exceeds the preset vibration value during driving.

[0060] Here, the vibration data of the drive axle package of the vehicle being driven is detected to see if it exceeds the preset vibration value.

[0061] B: If the vibration exceeds the preset value, the vehicle is not operating properly; if the vibration does not exceed the preset value, the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the vehicle is checked to see if it is within the preset temperature range during driving.

[0062] Here, if the vibration exceeds the preset value, the vehicle's operating condition is abnormal; if it does not exceed the preset vibration value, the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the vehicle is checked to see if it is within the preset temperature range during driving.

[0063] The preset temperature range is 80±10℃.

[0064] C: If the temperature is not within the preset temperature range, the vehicle is not operating normally; if the temperature is within the preset temperature range, the vehicle is operating normally.

[0065] If the temperature is outside the preset range, the vehicle will not function properly; if it is within the preset range, the vehicle will function normally.

[0066] In a specific embodiment, a temperature sensor is installed on the drive axle housing to detect the temperature of the lubricating oil in the gear contact area within the drive axle housing. The temperature sensor is directly aligned with the contact area of ​​the master and driven gears to collect more accurate temperature data. The collected temperature information is fed back to the controller, which then controls the air cooler to maintain a temperature of T ± 5℃, where T is the optimal temperature for measuring efficiency. A vibration sensor is used to collect vibration data from the drive axle housing in real time to determine if the equipment is vibrating abnormally. If the vibration exceeds a set value, the equipment stops operating.

[0067] In one possible implementation, the step of performing feature processing on multiple real-time vehicle data information under different regional operating conditions to determine vehicle characteristic information under different regional operating conditions includes:

[0068] Multiple real-time vehicle data information under different regional operating conditions are input into a pre-trained neural network model, and features are extracted from the multiple real-time vehicle data information under different regional operating conditions to determine the vehicle feature information under different regional operating conditions.

[0069] Here, multiple real-time vehicle data information under different regional operating conditions are input into a pre-trained neural network model. Feature extraction is performed on the multiple real-time vehicle data information under different regional operating conditions to determine the vehicle characteristic information under different regional operating conditions. This allows us to understand the user's driving habits and provides a guarantee for subsequent measurement of the vehicle assembly efficiency.

[0070] S102: For each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions.

[0071] In this step, for each regional operating condition, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating condition are measured in segments to determine the input power of the vehicle under the regional operating condition.

[0072] In this segmented measurement, the corresponding torque sensor is determined based on the torque characteristic information, and the corresponding speed sensor is determined based on the speed characteristic information. For example, the third torque sensor N1 is a small-range sensor used to collect torque information of (0~n1) Nm, the second torque sensor N2 is a medium-range sensor used to collect torque information of (n1~n2) Nm, the first torque sensor N3 is a large-range sensor used to collect torque information of (n2~∞) Nm, the first speed sensor V1 is a small-range sensor used to collect speed information of (0~v1) r / min, and the second speed sensor V2 is a large-range sensor used to collect speed information of (v1~∞) r / min.

[0073] In one possible implementation, for each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions, including:

[0074] a: For each input torque feature information, detect whether the input torque feature information is less than the first torque information. If it is greater than the first torque information, then detect whether the input torque feature information is less than the second torque information. If it is greater than the second torque information, then determine the target input torque feature information under the working conditions of this region based on the first torque sensor; wherein, the first torque information is less than the second torque information.

[0075] Here, for each input torque characteristic information, it is detected whether the input torque characteristic information is less than the first torque information. If it is greater than the first torque information, it is detected whether the input torque characteristic information is less than the second torque information. If it is greater than the second torque information, the target input torque characteristic information under the working conditions of this region is determined based on the first torque sensor.

[0076] The first torque information is less than the second torque information. The first torque information and the second torque information are determined based on the torque requirements of the assembly and the sensor capabilities. For example, the first torque information (n1) = 100 and the first torque information (n2) = 500.

[0077] Since all torque characteristic information is directly measured by a large-range torque sensor, the torque characteristic information may not be very accurate. Therefore, it is necessary to determine the corresponding torque sensor based on the torque characteristic information, the first torque information, and the second torque information, and then use the determined torque sensor to re-determine the target input torque characteristic information under the local operating conditions.

[0078] In one possible implementation, for each input torque characteristic information, it is detected whether the input torque characteristic information is less than a first torque information; if it is greater than the first torque information, it is detected whether the input torque characteristic information is less than a second torque information; if it is greater than the second torque information, the target input torque characteristic information under the operating conditions of the region is determined based on the first torque sensor, further comprising:

[0079] (1): If the input torque characteristic information is less than the first torque information, the target input torque characteristic information under the working conditions of the region is determined according to the second torque sensor.

[0080] Here, if the input torque characteristic information is less than the first torque information, the target input torque characteristic information under the working conditions of this region is determined based on the second torque sensor.

[0081] (2): If the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined according to the third torque sensor; wherein, the torque measurement range of the first torque sensor, the second torque sensor and the third torque sensor decreases in sequence.

[0082] Here, if the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined based on the third torque sensor.

[0083] The torque measurement ranges of the first torque sensor, the second torque sensor, and the third torque sensor decrease sequentially.

[0084] b: For each input speed characteristic information, detect whether the input speed characteristic information is less than the first speed information. If so, determine the target input speed characteristic information under the operating conditions of this region based on the first speed sensor. If not, determine the target input speed characteristic information under the operating conditions of this region based on the second speed sensor.

[0085] Here, for each input speed characteristic information, it is detected whether the input speed characteristic information is less than the first speed information. If so, the target input speed characteristic information under the working conditions of this region is determined according to the first speed sensor. If not, the target input speed characteristic information under the working conditions of this region is determined according to the second speed sensor.

[0086] Here, the first speed information is determined based on the speed requirements of the assembly and the sensor capability, and can be 100 r / min.

[0087] The speed measurement range of the first speed sensor is smaller than that of the second speed sensor.

[0088] c: Based on the target input torque characteristic information and the target input speed characteristic information under the operating conditions of this region, the input power of the driving vehicle under the operating conditions of this region is determined.

[0089] Here, the input power of the vehicle under the operating conditions of this region is determined based on the target input torque characteristic information and the target input speed characteristic information.

[0090] Here, the process of determining the input power of the vehicle under the operating conditions of this region based on the target input torque characteristic information and the target input speed characteristic information can be achieved by existing technical means, so this part will not be elaborated here.

[0091] S103: For each of the aforementioned regional operating conditions, multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the output power of the driving vehicle under the regional operating conditions.

[0092] In this step, for each regional operating condition, multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under the regional operating condition are measured in segments to determine the output power of the driving vehicle under the regional operating condition.

[0093] In one possible implementation, for each of the aforementioned regional operating conditions, multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the output power of the driving vehicle under the regional operating conditions, including:

[0094] i: For each output torque characteristic information N, detect whether the output torque characteristic information is less than the third torque information n3. If it is greater than the third torque information n3, then detect whether the input torque characteristic information is less than the fourth torque information n4. If it is greater than the fourth torque information n4, then determine the target input torque characteristic information N_out under the operating conditions of this region based on the fourth torque sensor N4; wherein, the third torque information is less than the fourth torque information. If the output torque characteristic information N is less than the third torque information n3, then determine the target output torque characteristic information N_out under the operating conditions of this region based on the fifth torque sensor N5. If the output torque characteristic information N is less than the fourth torque information n4, then determine the target output torque characteristic information under the operating conditions of this region based on the sixth torque sensor N6; wherein, the torque measurement range of the fourth torque sensor N4, the fifth torque sensor N5, and the sixth torque sensor N6 decreases sequentially.

[0095] ii: For each of the output speed characteristic information V, detect whether the output speed characteristic information V is less than the second speed information v2. If so, determine the target output speed characteristic information V_out under the operating conditions of this region based on the third speed sensor V3. If not, determine the target output speed characteristic information V_out under the operating conditions of this region based on the fourth speed sensor V4.

[0096] iii: Based on the target output torque characteristic information N_out and the target output speed characteristic information V_out under the operating conditions of this region, the output power P_out of the driving vehicle under the operating conditions of this region is determined.

[0097] The process for determining the output power of a vehicle under local operating conditions is the same as the process for determining the output power of a vehicle, and will not be repeated here.

[0098] For further details, please refer to Figure 2 , Figure 2 This is a schematic diagram of the drive axle of a driving vehicle provided in an embodiment of this application. Figure 2 As shown, the structure includes a drive axle housing, a controller, multiple torque sensors, multiple speed sensors, a temperature sensor, and a vibration sensor. The first, second, and third torque sensors, the first and second speed sensors are installed at the input end of the drive axle housing, while the fourth, fifth, and sixth torque sensors, the third and fourth speed sensors are installed at the output end of the drive axle housing. The controller collects and controls the data from these multiple sensors.

[0099] S104: Based on the input power and output power of the driving vehicle under each of the regional operating conditions, determine the overall efficiency of the driving vehicle under multiple regional operating conditions.

[0100] In this step, the overall efficiency of the vehicle under multiple regional operating conditions is determined based on the input power and output power of the vehicle under each regional operating condition.

[0101] The overall efficiency rate is the efficiency of driving vehicles under all regional operating conditions.

[0102] In one possible implementation, determining the vehicle's overall efficiency under multiple regional operating conditions based on the vehicle's input and output power for each of the regional operating conditions includes:

[0103] I: The input power of the driving vehicle under each of the aforementioned regional operating conditions is accumulated and summed to determine the target input power.

[0104] Here, the input power of the driving vehicle under each regional operating condition is accumulated and summed to determine the target input power.

[0105] II: The output power of the driving vehicles under each of the aforementioned regional operating conditions is accumulated and summed to determine the target output power.

[0106] Here, the output power of the driving vehicle under each regional operating condition is accumulated and summed to determine the target output power.

[0107] III: Determine the efficiency for each region's operating conditions based on the target input power and the target output power for each region's operating conditions.

[0108] Here, the efficiency under each regional operating condition is determined by dividing the target output power of each region by the corresponding target input power.

[0109] IV: The efficiency under multiple regional operating conditions is accumulated and summed to determine the overall efficiency of the driving vehicle under the multiple regional operating conditions.

[0110] Here, the efficiency under multiple regional operating conditions is accumulated and summed to determine the overall efficiency of the vehicle under multiple regional operating conditions.

[0111] In one possible implementation, after determining the vehicle assembly efficiency under multiple regional operating conditions based on the input and output power of the vehicle for each of the regional operating conditions, the vehicle assembly efficiency determination method further includes:

[0112] The target optimization strategy for the vehicle corresponding to the overall efficiency of the vehicle is selected from a set of preset vehicle optimization strategies.

[0113] Here, the corresponding driving vehicle target optimization strategy is selected from a number of preset driving vehicle optimization strategies based on the overall efficiency of the driving vehicle.

[0114] Among these, vehicle driving optimization strategies can be as follows: If the user frequently drives in suburban or highway areas, resulting in a higher proportion of high-speed driving conditions, high-efficiency ball bearings can be used to reduce bearing friction losses, low-viscosity lubricating oil can be used to reduce oil churning losses, small-ratio gears and small offset distances can be used to reduce meshing friction losses, and low oil levels or active lubrication can be used to reduce oil churning losses. If the user frequently drives in mountainous areas, resulting in a higher proportion of high torque, the vehicle should be equipped with tapered bearings with greater load-bearing capacity, or a combination of tapered bearings and ball bearings, which increases the viscosity of the lubricating oil.

[0115] For further details, please refer to Figure 3 This is a schematic diagram illustrating a method for determining the efficiency of a user's driving vehicle assembly, provided in an embodiment of this application. Figure 3As shown, the system detects whether the vibration data of the drive axle housing of the vehicle exceeds the preset vibration value during driving. If so, the measurement ends. If so, the system detects whether the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the vehicle is within the preset temperature range during driving. If not, the temperature of the lubricating oil in the gear contact area is readjusted. If so, the system performs feature processing on multiple real-time vehicle data under different regional operating conditions to determine the vehicle characteristic information under different regional operating conditions. The system detects whether the input torque characteristic information N of each region's operating condition is less than the first torque information n1. If so, the second torque sensor N2 determines the target input torque characteristic information N_in. Otherwise, it detects whether N is less than the second torque information n2. If so, the third torque sensor N3 determines the target input torque characteristic information N_in. Otherwise, the first torque sensor N1 determines the target input torque characteristic information N_in. The system then detects whether the input speed characteristic information V is less than the first speed information v1. If so, the first speed sensor V1 determines the target input speed characteristic information V_in for that region's operating condition. Otherwise, the first speed sensor V2 determines the target input speed characteristic information V_in for that region's operating condition. Based on the target input torque characteristic information and the target input speed characteristic information under the regional operating conditions, the input power P_in of the driving vehicle under the regional operating conditions is determined. The output torque characteristic information and output speed characteristic information of each regional operating condition are processed to determine the output power P_out of the driving vehicle under the regional operating conditions. It is then checked whether the processing is complete. If not, the processing continues. If so, the overall efficiency of the driving vehicle is determined based on the input power and output power of the driving vehicle under each regional operating condition. The target optimization strategy for the driving vehicle corresponding to the overall efficiency is selected from a number of preset driving vehicle optimization strategies.

[0116] The purpose of this solution is to address the inaccuracy in the overall efficiency assessment and testing of powertrains. The optimization focuses on two aspects: First, extracting driving habits from users in different regions to make efficiency assessments more accurate, providing a basis for subsequent customized development of powertrains tailored to different operating conditions. Second, analyzing the shortcomings in the current efficiency testing process and proposing optimization methods to make the test results more precise.

[0117] This application provides a method for determining the overall efficiency of a user's driving vehicle. The method includes: determining the operating state of the user's driving vehicle during operation; acquiring multiple real-time vehicle data information of the vehicle under different regional operating conditions when the operating state is normal; performing feature processing on the multiple real-time vehicle data information under different regional operating conditions to determine vehicle feature information under different regional operating conditions; for each regional operating condition, performing segmented measurements on multiple input torque feature information and multiple input speed feature information in the vehicle feature information under that regional operating condition to determine the input power of the driving vehicle under that regional operating condition; for each regional operating condition, performing segmented measurements on multiple output torque feature information and multiple output speed feature information in the vehicle feature information under that regional operating condition to determine the output power of the driving vehicle under that regional operating condition; and determining the overall efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle under each regional operating condition. By extracting users' driving habits under different regional operating conditions, and providing conditions for subsequent customization of vehicle assembly efficiency for different regional operating conditions, the determination of vehicle assembly efficiency becomes more accurate. By measuring torque and speed in segments, the accuracy of assembly efficiency determination is improved.

[0118] Please see Figure 4 , Figure 5 , Figure 4 This is one of the structural schematic diagrams of a user's vehicle assembly efficiency determination device provided in an embodiment of this application; Figure 5 This is a second schematic diagram of a user's vehicle assembly efficiency determination device provided in an embodiment of this application. Figure 4 As shown, the vehicle assembly efficiency determination device 400 includes:

[0119] Feature extraction module 410 is used to determine the working status of the user's driving vehicle during driving, obtain multiple real-time vehicle data information of the driving vehicle with normal working status under different regional working conditions, perform feature processing on the multiple real-time vehicle data information under different regional working conditions, and determine vehicle feature information under different regional working conditions.

[0120] The input power determination module 420 is used to perform segmented measurements on multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under each regional working condition, and determine the input power of the driving vehicle under the regional working condition.

[0121] The output power determination module 430 is used to perform segmented measurements on multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under each regional working condition, and determine the output power of the driving vehicle under the regional working condition.

[0122] The determination module 440 is used to determine the overall efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle under each regional operating condition.

[0123] Furthermore, when the input power determination module 420 performs segmented measurements on multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under each regional operating condition to determine the input power of the driving vehicle under the regional operating condition, the input power determination module 420 is specifically used for:

[0124] For each input torque feature, it is detected whether the input torque feature is less than the first torque information. If it is greater than the first torque information, it is detected whether the input torque feature is less than the second torque information. If it is greater than the second torque information, the target input torque feature under the working conditions of this region is determined based on the first torque sensor; wherein, the first torque information is less than the second torque information.

[0125] For each input speed characteristic information, it is detected whether the input speed characteristic information is less than the first speed information. If so, the target input speed characteristic information under the working conditions of this region is determined according to the first speed sensor. If not, the target input speed characteristic information under the working conditions of this region is determined according to the second speed sensor.

[0126] Based on the target input torque characteristic information and the target input speed characteristic information under the operating conditions of this region, the input power of the driving vehicle under the operating conditions of this region is determined.

[0127] Furthermore, when the input power determination module 420 detects whether each input torque feature is greater than a first torque information, and if it is greater than the first torque information, detects whether the input torque feature is less than a second torque information, and if it is greater than the second torque information, determines the target input torque feature under the operating conditions of the region based on the first torque sensor, the input power determination module 420 is specifically used for:

[0128] If the input torque characteristic information is less than the first torque information, then the target input torque characteristic information under the working conditions of this region is determined based on the second torque sensor.

[0129] If the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined according to the third torque sensor; wherein, the torque measurement range of the first torque sensor, the second torque sensor and the third torque sensor decreases in sequence.

[0130] Furthermore, when determining the overall efficiency of the driving vehicle under multiple regional operating conditions using the input power and output power of the driving vehicle based on each of the regional operating conditions, the determining module 440 is specifically used for:

[0131] The target input power is determined by summing up the input power of the driving vehicle under each of the aforementioned regional operating conditions.

[0132] The output power of the driving vehicle under each of the aforementioned regional operating conditions is accumulated and summed to determine the target output power;

[0133] Based on the target input power and the target output power for each regional operating condition, the efficiency for each regional operating condition is determined.

[0134] The efficiency under multiple regional operating conditions is accumulated and summed to determine the overall efficiency of the driving vehicle under the multiple regional operating conditions.

[0135] Furthermore, such as Figure 5 As shown, the vehicle assembly efficiency determination device 400 further includes a strategy matching module 450, which is used for:

[0136] The target optimization strategy for the vehicle corresponding to the overall efficiency of the vehicle is selected from a set of preset vehicle optimization strategies.

[0137] Furthermore, the feature extraction module 410 determines the operating status of the driving vehicle through the following steps:

[0138] The vibration data of the drive axle package of the vehicle being driven is detected to see if it exceeds a preset vibration value during driving.

[0139] If the vibration exceeds the preset value, the vehicle's operating state is abnormal.

[0140] If the preset vibration value is not exceeded, then the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the driving vehicle is detected to be within the preset temperature range during driving.

[0141] If the temperature is not within the preset temperature range, the vehicle is not operating properly.

[0142] If the temperature is within the preset range, the vehicle is operating normally.

[0143] Furthermore, when the feature extraction module 410 performs feature processing on multiple real-time vehicle data information under different regional operating conditions to determine vehicle feature information under different regional operating conditions, the feature extraction module 410 is specifically used for:

[0144] Multiple real-time vehicle data information under different regional operating conditions are input into a pre-trained neural network model, and features are extracted from the multiple real-time vehicle data information under different regional operating conditions to determine the vehicle feature information under different regional operating conditions.

[0145] This application provides a device for determining the overall efficiency of a user's driving vehicle. The device includes: a feature extraction module, used to determine the operating state of the user's driving vehicle during driving, acquire multiple real-time vehicle data information of the vehicle under different regional operating conditions when the vehicle is operating normally, perform feature processing on the multiple real-time vehicle data information under different regional operating conditions, and determine vehicle feature information under different regional operating conditions; an input power determination module, used to perform segmented measurements on multiple input torque feature information and multiple input speed feature information in the vehicle feature information under each regional operating condition, and determine the input power of the driving vehicle under that regional operating condition; an output power determination module, used to perform segmented measurements on multiple output torque feature information and multiple output speed feature information in the vehicle feature information under each regional operating condition, and determine the output power of the driving vehicle under that regional operating condition; and a determination module, used to determine the overall efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle under each regional operating condition. By extracting users' driving habits under different regional operating conditions, and providing conditions for subsequent customization of vehicle assembly efficiency for different regional operating conditions, the determination of vehicle assembly efficiency becomes more accurate. By measuring torque and speed in segments, the accuracy of assembly efficiency determination is improved.

[0146] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 6 As shown, the electronic device 600 includes a processor 610, a memory 620, and a bus 630.

[0147] The memory 620 stores machine-readable instructions executable by the processor 610. When the electronic device 600 is running, the processor 610 and the memory 620 communicate via the bus 630. When the machine-readable instructions are executed by the processor 610, they can perform the operations described above. Figure 1The steps of the method for determining the efficiency of the user's driving vehicle assembly in the illustrated method embodiment can be found in the method embodiment for specific implementation, and will not be repeated here.

[0148] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 The steps of the method for determining the efficiency of the user's driving vehicle assembly in the illustrated method embodiment can be found in the method embodiment for specific implementation, and will not be repeated here.

[0149] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0151] The units described as separate components may or may not be physically separate. 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0152] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0153] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0154] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining the efficiency of a user's driving vehicle assembly, characterized in that, The method for determining the efficiency of the driving vehicle assembly includes: The working status of the user's vehicle during driving is determined, and multiple real-time vehicle data information of the vehicle with normal working status under different regional working conditions are obtained. Feature processing is performed on the multiple real-time vehicle data information under different regional working conditions to determine the vehicle feature information under different regional working conditions. For each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions. For each of the aforementioned regional operating conditions, multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the output power of the driving vehicle under the regional operating conditions. Based on the input power and output power of the driving vehicle under each of the aforementioned regional operating conditions, the overall efficiency of the driving vehicle under multiple regional operating conditions is determined. For each of the aforementioned regional operating conditions, multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under the regional operating conditions are measured in segments to determine the input power of the driving vehicle under the regional operating conditions, including: For each input torque feature, it is detected whether the input torque feature is less than the first torque information. If it is greater than the first torque information, it is detected whether the input torque feature is less than the second torque information. If it is greater than the second torque information, the target input torque feature under the working conditions of this region is determined based on the first torque sensor; wherein, the first torque information is less than the second torque information. For each input speed characteristic information, it is detected whether the input speed characteristic information is less than the first speed information. If so, the target input speed characteristic information under the working conditions of this region is determined according to the first speed sensor. If not, the target input speed characteristic information under the working conditions of this region is determined according to the second speed sensor. Based on the target input torque characteristic information and the target input speed characteristic information under the operating conditions of this region, the input power of the driving vehicle under the operating conditions of this region is determined; For each input torque feature, it is detected whether the input torque feature is greater than a first torque information. If it is greater than the first torque information, it is detected whether the input torque feature is less than a second torque information. If it is greater than the second torque information, the target input torque feature under the operating conditions of this region is determined based on the first torque sensor. The method also includes: If the input torque characteristic information is less than the first torque information, then the target input torque characteristic information under the working conditions of this region is determined based on the second torque sensor. If the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined according to the third torque sensor; wherein, the torque measurement range of the first torque sensor, the second torque sensor and the third torque sensor decreases in sequence.

2. The method for determining the efficiency of a driving vehicle assembly according to claim 1, characterized in that, The determination of the vehicle's overall efficiency under multiple regional operating conditions, based on the vehicle's input and output power for each of the aforementioned regional operating conditions, includes: The target input power is determined by summing up the input power of the driving vehicle under each of the aforementioned regional operating conditions. The output power of the driving vehicle under each of the aforementioned regional operating conditions is accumulated and summed to determine the target output power; Based on the target input power and the target output power for each regional operating condition, the efficiency for each regional operating condition is determined. The efficiency under multiple regional operating conditions is accumulated and summed to determine the overall efficiency of the driving vehicle under the multiple regional operating conditions.

3. The method for determining the efficiency of a driving vehicle assembly according to claim 1, characterized in that, After determining the vehicle assembly efficiency under multiple regional operating conditions based on the input and output power of the vehicle for each of the regional operating conditions, the vehicle assembly efficiency determination method further includes: The target optimization strategy for the vehicle corresponding to the overall efficiency of the vehicle is selected from a set of preset vehicle optimization strategies.

4. The method for determining the efficiency of a driving vehicle assembly according to claim 1, characterized in that, The operating status of the vehicle is determined by the following steps: The vibration data of the drive axle package of the vehicle being driven is detected to see if it exceeds a preset vibration value during driving. If the vibration exceeds the preset value, the vehicle's operating state is abnormal. If the preset vibration value is not exceeded, then the temperature of the lubricating oil in the gear contact area of ​​the drive axle housing of the driving vehicle is detected to be within the preset temperature range during driving. If the temperature is not within the preset temperature range, the vehicle is not operating properly. If the temperature is within the preset range, the vehicle is operating normally.

5. The method for determining the efficiency of a driving vehicle assembly according to claim 1, characterized in that, The step of performing feature processing on multiple real-time vehicle data information under different regional operating conditions to determine vehicle feature information under different regional operating conditions includes: Multiple real-time vehicle data information under different regional operating conditions are input into a pre-trained neural network model, and features are extracted from the multiple real-time vehicle data information under different regional operating conditions to determine the vehicle feature information under different regional operating conditions.

6. A device for determining the efficiency of a user's driving vehicle assembly, characterized in that, The vehicle assembly efficiency determination device includes: The feature extraction module is used to determine the working status of the user's driving vehicle during the driving process, obtain multiple real-time vehicle data information of the driving vehicle with normal working status under different regional working conditions, perform feature processing on the multiple real-time vehicle data information under different regional working conditions, and determine the vehicle feature information under different regional working conditions. The input power determination module is used to perform segmented measurements on multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under each regional working condition, and determine the input power of the driving vehicle under the regional working condition. The output power determination module is used to perform segmented measurements on multiple output torque characteristic information and multiple output speed characteristic information in the vehicle characteristic information under each regional working condition, and determine the output power of the driving vehicle under the regional working condition. A determination module is used to determine the overall efficiency of the driving vehicle under multiple regional operating conditions based on the input power and output power of the driving vehicle under each regional operating condition. The input power determination module is used to perform segmented measurements on multiple input torque characteristic information and multiple input speed characteristic information in the vehicle characteristic information under each regional operating condition to determine the input power of the driving vehicle under the regional operating condition: For each input torque feature, it is detected whether the input torque feature is less than the first torque information. If it is greater than the first torque information, it is detected whether the input torque feature is less than the second torque information. If it is greater than the second torque information, the target input torque feature under the working conditions of this region is determined based on the first torque sensor; wherein, the first torque information is less than the second torque information. For each input speed characteristic information, it is detected whether the input speed characteristic information is less than the first speed information. If so, the target input speed characteristic information under the working conditions of this region is determined according to the first speed sensor. If not, the target input speed characteristic information under the working conditions of this region is determined according to the second speed sensor. Based on the target input torque characteristic information and the target input speed characteristic information under the operating conditions of this region, the input power of the driving vehicle under the operating conditions of this region is determined; The input power determination module is used to detect whether each input torque characteristic is greater than a first torque information. If it is greater than the first torque information, it detects whether the input torque characteristic is less than a second torque information. If it is greater than the second torque information, it determines the target input torque characteristic under the operating conditions of the region based on the first torque sensor. If the input torque characteristic information is less than the first torque information, then the target input torque characteristic information under the working conditions of this region is determined based on the second torque sensor. If the input torque characteristic information is less than the second torque information, the target input torque characteristic information under the working conditions of this region is determined according to the third torque sensor; wherein, the torque measurement range of the first torque sensor, the second torque sensor and the third torque sensor decreases in sequence.

7. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. The machine-readable instructions are executed by the processor to perform the steps of the user's vehicle assembly efficiency determination method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the user's method for determining the efficiency of a vehicle assembly as described in any one of claims 1 to 5.

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