Methods, devices, computer equipment, and storage media for analyzing vehicle fuel consumption.

Abstract

This application relates to a method, apparatus, computer equipment, storage medium, and computer program product for analyzing vehicle fuel consumption. The method includes: upon detecting abnormal fuel consumption in a target vehicle, acquiring a heatmap of the target vehicle's driving trajectory and altitude data of the traveled path over a historical period; evaluating the target vehicle's fuel consumption in an operational scenario dimension based on the driving trajectory heatmap and altitude data, obtaining a first evaluation result; acquiring powertrain data of the target vehicle's internal powertrain and evaluating the target vehicle's fuel consumption in a configuration dimension based on the powertrain data, obtaining a second evaluation result; acquiring driving data of the target vehicle over a historical period and evaluating the target vehicle's fuel consumption in a working condition dimension based on the driving data, obtaining a third evaluation result; and determining the cause of the abnormal fuel consumption of the target vehicle based on the first, second, and third evaluation results.

Description

Technical Field

[0001] This application relates to the field of vehicle processing technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for analyzing vehicle fuel consumption. Background Technology

[0002] With the development of vehicle technology, more and more people are using vehicles, bringing numerous conveniences to their daily lives. At the same time, the demands on vehicle performance are also increasing. Among these demands, fuel consumption is extremely important. For example, abnormal fuel consumption may lead to reduced vehicle power or even brake system failure, thus affecting the safety and efficiency of vehicle operation. Therefore, it is necessary to analyze vehicle fuel consumption.

[0003] In related technologies, the first step is to collect vehicle fuel consumption data, then organize the data, and finally, analyze the vehicle's fuel consumption manually. However, because the consumption data cannot accurately reflect the user's driving scenario, and human analysis is prone to subjective judgment leading to errors, these technologies cannot accurately analyze vehicle fuel consumption, resulting in low accuracy. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for analyzing vehicle fuel consumption that can improve the accuracy of fuel consumption analysis, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for analyzing vehicle fuel consumption, including:

[0006] If abnormal fuel consumption is detected in the target vehicle, obtain the heat map of the target vehicle's driving trajectory and the altitude data of the route it traveled during the historical time period.

[0007] Based on the driving trajectory heatmap and the altitude data, the fuel consumption of the target vehicle in the operational scenario is evaluated to obtain a first evaluation result;

[0008] Obtain the powertrain data of the target vehicle's internal powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain a second evaluation result;

[0009] The driving data of the target vehicle during the historical period is obtained, and the fuel consumption of the target vehicle in terms of working conditions is evaluated based on the driving data to obtain a third evaluation result.

[0010] Based on the first evaluation result, the second evaluation result, and the third evaluation result, the cause of the abnormal fuel consumption of the target vehicle is determined.

[0011] Secondly, this application also provides a vehicle fuel consumption analysis device, comprising:

[0012] The acquisition module is used to acquire a heat map of the target vehicle's driving trajectory and the altitude data of the route it travels over a historical period when an abnormal fuel consumption of the target vehicle is detected.

[0013] The first evaluation module is used to evaluate the fuel consumption of the target vehicle in the operational scenario based on the driving trajectory heatmap and the altitude data, and obtain the first evaluation result.

[0014] The second evaluation module is used to acquire powertrain data of the powertrain within the target vehicle, and to evaluate the fuel consumption of the target vehicle in terms of configuration based on the powertrain data, thereby obtaining a second evaluation result.

[0015] The third evaluation data is used to obtain the driving data of the target vehicle during the historical period. Based on the driving data, the fuel consumption of the target vehicle in the working condition dimension is evaluated to obtain the third evaluation result.

[0016] The determination module is used to determine the cause of the abnormal fuel consumption of the target vehicle based on the first evaluation result, the second evaluation result, and the third evaluation result.

[0017] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the above-described steps:

[0018] If abnormal fuel consumption is detected in the target vehicle, obtain the heat map of the target vehicle's driving trajectory and the altitude data of the route it traveled during the historical time period.

[0019] Based on the driving trajectory heatmap and the altitude data, the fuel consumption of the target vehicle in the operational scenario is evaluated to obtain a first evaluation result;

[0020] Obtain the powertrain data of the target vehicle's internal powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain a second evaluation result;

[0021] The driving data of the target vehicle during the historical period is obtained, and the fuel consumption of the target vehicle in terms of working conditions is evaluated based on the driving data to obtain a third evaluation result.

[0022] Based on the first evaluation result, the second evaluation result, and the third evaluation result, the cause of the abnormal fuel consumption of the target vehicle is determined.

[0023] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0024] If abnormal fuel consumption is detected in the target vehicle, obtain the heat map of the target vehicle's driving trajectory and the altitude data of the route it traveled during the historical time period.

[0025] Based on the driving trajectory heatmap and the altitude data, the fuel consumption of the target vehicle in the operational scenario is evaluated to obtain a first evaluation result;

[0026] Obtain the powertrain data of the target vehicle's internal powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain a second evaluation result;

[0027] The driving data of the target vehicle during the historical period is obtained, and the fuel consumption of the target vehicle in terms of working conditions is evaluated based on the driving data to obtain a third evaluation result.

[0028] Based on the first evaluation result, the second evaluation result, and the third evaluation result, the cause of the abnormal fuel consumption of the target vehicle is determined.

[0029] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0030] If abnormal fuel consumption is detected in the target vehicle, obtain the heat map of the target vehicle's driving trajectory and the altitude data of the route it traveled during the historical time period.

[0031] Based on the driving trajectory heatmap and the altitude data, the fuel consumption of the target vehicle in the operational scenario is evaluated to obtain a first evaluation result;

[0032] Obtain the powertrain data of the target vehicle's internal powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain a second evaluation result;

[0033] The driving data of the target vehicle during the historical period is obtained, and the fuel consumption of the target vehicle in terms of working conditions is evaluated based on the driving data to obtain a third evaluation result.

[0034] Based on the first evaluation result, the second evaluation result, and the third evaluation result, the cause of the abnormal fuel consumption of the target vehicle is determined.

[0035] The aforementioned vehicle fuel consumption analysis methods, devices, computer equipment, storage media, and computer program products, upon detecting abnormal fuel consumption in a target vehicle, acquire a heatmap of the target vehicle's driving trajectory and altitude data of the traveled path over a historical period. Based on the heatmap and altitude data, the operating scenario of the target vehicle is realistically reconstructed, and the fuel consumption of the target vehicle in the operating scenario dimension is evaluated to obtain a first evaluation result, accurately identifying whether the abnormal fuel consumption is caused by the operating scenario. Next, powertrain data of the target vehicle's internal powertrain is acquired, and based on this data, the fuel consumption of the target vehicle in the configuration dimension is evaluated to obtain a second evaluation result, accurately identifying whether the abnormal fuel consumption is caused by an unreasonable powertrain configuration. Finally, driving data of the target vehicle over a historical period is acquired, and based on this data, the fuel consumption of the target vehicle in the operating condition dimension is evaluated to obtain a third evaluation result, accurately identifying whether the abnormal fuel consumption is caused by a mismatch between the target vehicle and the operating conditions. Finally, based on the results of the first, second, and third assessments, a comprehensive multi-dimensional analysis is conducted at the vehicle level to accurately recreate the user's driving environment, thereby accurately identifying the cause of abnormal fuel consumption in the target vehicle and improving the accuracy of fuel consumption analysis. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a diagram illustrating the application environment of a vehicle fuel consumption analysis method in one embodiment.

[0038] Figure 2 This is a flowchart illustrating a method for analyzing vehicle fuel consumption in one embodiment;

[0039] Figure 3 Here is a heatmap of the driving trajectory in one embodiment;

[0040] Figure 4 Here is a curve showing the change in mileage versus elevation in one embodiment;

[0041] Figure 5 This is a flowchart illustrating the second evaluation result determination step in one embodiment;

[0042] Figure 6A This is a schematic diagram of the universal curve of the target vehicle in one embodiment;

[0043] Figure 6B This is a schematic diagram of the universal curve of a reference vehicle in one embodiment;

[0044] Figure 7 This is a flowchart illustrating the third evaluation result determination step in one embodiment;

[0045] Figure 8A Here is a rotational speed distribution diagram in one embodiment;

[0046] Figure 8B Here is a vehicle speed distribution diagram from one embodiment;

[0047] Figure 8C Here is a throttle speed heatmap in one embodiment;

[0048] Figure 8D Here is a heatmap of vehicle speed by gear in one embodiment;

[0049] Figure 8E Here is a torque-speed heatmap in one embodiment;

[0050] Figure 9 This is a schematic diagram of the road type distribution in one embodiment;

[0051] Figure 10 This is a schematic diagram of the driving trajectory in one embodiment;

[0052] Figure 11 This is a schematic diagram of the fuel consumption variation curve in one embodiment;

[0053] Figure 12 This is a structural block diagram of a vehicle fuel consumption analysis device in one embodiment;

[0054] Figure 13 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0056] The vehicle fuel consumption analysis method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, the target vehicle 102 communicates with a computer device 104, which can be a terminal or a server. A data storage system stores the data that the server needs to process. The data storage system can be integrated onto the server or located in the cloud or on other network servers.

[0057] Upon detecting abnormal fuel consumption in the target vehicle, computer device 104 obtains relevant information about the target vehicle 102 via a T-BOX (Telematics BOX). Specifically, the computer device acquires a heatmap of the target vehicle 102's driving trajectory and altitude data of the traveled path over a historical period. Based on the heatmap and altitude data, computer device 104 assesses the fuel consumption of the target vehicle 102 in the operational scenario dimension, obtaining a first assessment result. Computer device 104 acquires powertrain data of the target vehicle 102's powertrain and, based on the powertrain data, assesses the fuel consumption of the target vehicle 102 in the configuration dimension, obtaining a second assessment result. Computer device 104 acquires driving data of the target vehicle 102 over a historical period and, based on the driving data, assesses the fuel consumption of the target vehicle 102 in the operating condition dimension, obtaining a third assessment result. Based on the first, second, and third assessment results, the cause of the abnormal fuel consumption of the target vehicle 102 is determined.

[0058] The vehicles can include, but are not limited to, commercial vehicles, automobiles, and trucks. The terminals can include, but are not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle systems. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. Servers can be implemented using independent servers or server clusters composed of multiple servers.

[0059] In one exemplary embodiment, such as Figure 2 As shown, a method for analyzing vehicle fuel consumption is provided, and this method is applied to... Figure 1 Taking computer device 104 as an example, the explanation includes the following steps S202 to S210. Wherein:

[0060] Step S202: If abnormal fuel consumption is detected in the target vehicle, obtain the heat map of the target vehicle's driving trajectory and the altitude data of the route it travels within a historical time period.

[0061] The driving trajectory heatmap is a heatmap of the target vehicle's driving trajectory. A heatmap is a digital visualization technology. In this embodiment, the driving trajectory heatmap highlights at least one driving trajectory of the target vehicle within a historical period and displays the frequency of different driving trajectories within that period. The altitude data reflects the altitude changes of the vehicle's location along the driving path. Furthermore, the altitude data reflects the correlation between driving mileage and altitude, that is, it includes the altitude values ​​of the target vehicle's location corresponding to different mileages.

[0062] Optionally, when the computer device detects abnormal fuel consumption in the target vehicle, it acquires the target vehicle's historical vehicle network data. The historical vehicle network data is the vehicle network output data of the target vehicle within a historical time period, including at least a heat map of the driving trajectory and the altitude data of the route traveled.

[0063] For example, such as Figure 3 The image shown is a heatmap of the driving trajectory in one embodiment. Figure 3 The diagram illustrates multiple pre-trip trajectories of the target vehicle within a historical time period. Pre-trip trajectories with a frequency higher than the preset frequency are indicated by black lines, while pre-trip trajectories with a frequency lower than the preset frequency are indicated by dashed lines.

[0064] like Figure 4 As shown, this is a mileage and elevation change curve in one embodiment. This mileage and elevation change curve is a graphical representation of altitude data. The altitude data includes the altitude value (i.e., elevation) corresponding to each mileage. Based on the altitude data, it is known whether there is a significant increase in altitude at the location of the target vehicle during the historical period. It should be noted that an increase in altitude indicates that the target vehicle is climbing a hill, and climbing a hill will cause higher fuel consumption.

[0065] It's important to clarify that a driving trajectory is a detailed description of the vehicle's route, including all the points the vehicle passes through. It's typically a geometric shape and is an abstract description of the path, focusing more on the actual movement of the vehicle. A driving path, on the other hand, is the actual route the vehicle takes, including all the locations and specific information about the route. It's closer to a description of the actual route.

[0066] Step S204: Based on the driving trajectory heatmap and altitude data, assess the fuel consumption of the target vehicle in the operational scenario dimension to obtain the first assessment result.

[0067] Among them, the operational scenario dimension refers to the dimension of the operational scenario, which refers to the state or situation of a vehicle operating in a specific environment or under specific conditions. These scenarios may include different road conditions, geographical information, etc.

[0068] Optionally, the computer equipment determines the target vehicle's driving trajectory within a historical time period based on a driving trajectory heatmap. Based on this trajectory, it analyzes whether the target vehicle's driving trajectory is abnormal, obtaining a first analysis result. If the first analysis result indicates an anomaly (i.e., an abnormal driving trajectory), then the abnormal driving trajectory is determined to have caused abnormal fuel consumption. The computer equipment then analyzes whether the target vehicle climbed hills within a preset time period based on altitude data, obtaining a second analysis result. If the second analysis result indicates that hill climbing occurred, then it is determined that hill climbing caused the abnormal fuel consumption. Based on the first and second analysis results, a first evaluation result is determined.

[0069] For example, if at least one of the following occurs: an abnormality in the first analysis result and a ramp-up in the second analysis result, the first assessment result is determined to be an abnormal fuel consumption situation in the operational scenario dimension, indicating an abnormal fuel consumption situation in the operational scenario dimension. If the first analysis result is normal and the second analysis result does not show a ramp-up, the first assessment result is determined to be an abnormal fuel consumption situation in the operational scenario dimension, meaning the abnormal fuel consumption is not caused by the operational scenario.

[0070] Step S206: Obtain the powertrain data of the target vehicle's powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain the second evaluation result.

[0071] The target vehicle's powertrain includes the engine, transmission, and rear axle. The configuration dimension refers to the vehicle's powertrain configuration, which in turn refers to the rationality of the powertrain matching.

[0072] In some embodiments, such as Figure 5 The diagram shown illustrates the flowchart of the second evaluation result determination step in one embodiment. Powertrain data includes the engine's universal characteristic curve, transmission ratios, and rear axle ratios. Based on the powertrain data, the fuel consumption of the target vehicle in terms of configuration is evaluated to obtain the second evaluation result, including:

[0073] Step S502: Obtain the universal characteristic curve of the target vehicle and the universal characteristic curve of the reference vehicle.

[0074] The universal characteristic curve refers to the curve showing how an engine can maximize energy utilization and achieve maximum efficiency when operating within its high-efficiency range. To comprehensively represent the changes in various engine performance parameters on a single graph, multi-parameter characteristic curves, known as universal characteristics, are often used.

[0075] The reference vehicle is a vehicle used for reference. The reference vehicle is a vehicle with normal fuel consumption. It should be noted that the reference vehicle is a vehicle of the same model as the target vehicle.

[0076] Step S504: Determine the constant-speed fuel consumption of the target engine corresponding to the target vehicle based on the universal characteristic curve of the target vehicle.

[0077] Among them, the target engine's constant-speed fuel consumption refers to the amount of fuel consumed by the target vehicle's engine per 100 kilometers under constant-speed driving conditions. For example... Figure 6A The figure shown is a schematic diagram of the universal curve of the target vehicle in one embodiment.

[0078] For example, the computer device identifies the universal characteristic curve of the target vehicle and determines the constant-speed fuel consumption of the target engine while maintaining the same speed.

[0079] Step S506: Determine the constant-speed fuel consumption of the reference engine corresponding to the reference vehicle based on the universal characteristic curve of the reference vehicle.

[0080] Among them, the reference engine constant speed fuel consumption refers to the amount of fuel consumed per 100 kilometers by the engine of a reference vehicle under constant speed driving conditions. For example, Figure 6B The figure shown is a schematic diagram of the universal curve of a reference vehicle in one embodiment.

[0081] For example, the computer device identifies the universal characteristic curve of a reference vehicle and determines the constant-speed fuel consumption of the reference engine while maintaining the same speed. The speed of the reference vehicle is the same as that of the target vehicle. Further, the difference between the constant-speed fuel consumption of the target engine and the constant-speed fuel consumption of the reference engine (engine constant-speed fuel consumption gap) is calculated. This difference reflects the differences in engine hardware.

[0082] Step S508: Determine the economic speed range of the engine based on the transmission ratio and the rear axle ratio, and obtain the actual speed of the target vehicle.

[0083] For example, the computer device acquires the engine's speed range, including the maximum and minimum speeds, and calculates the ratio of the transmission ratio to the rear axle ratio to obtain the powertrain's transmission ratio. The computer device calculates a first product of a preset coefficient, the maximum speed, and the rolling radius, and divides this first product by the transmission ratio to obtain the maximum economic speed. Similarly, it calculates a second product of the preset coefficient, the minimum speed, and the rolling radius, and divides this second product by the transmission ratio to obtain the minimum economic speed. Based on the maximum and minimum economic speeds, the computer device determines the economic speed range. The computer device obtains the target vehicle's actual speed from vehicle network data. The preset coefficient can be 0.377. If the economic speed range does not include the actual speed, changing to a suitable rear axle ratio is often one of the main methods for saving fuel. Other configurations that affect vehicle fuel consumption include tire rolling resistance coefficient and cab drag coefficient.

[0084] Step S510: If the target engine's constant-speed fuel consumption is less than or equal to the reference engine's constant-speed fuel consumption, and the actual vehicle speed is within the economic speed range, then the second evaluation result is determined to be that there is no abnormal fuel consumption in the configuration dimension.

[0085] In other examples, powertrain data also includes the transmission's highest gear efficiency and the rear axle transmission efficiency. Computer equipment calculates the product of these two efficiency values ​​to obtain the overall transmission efficiency (i.e., the powertrain's overall efficiency). Higher overall transmission efficiency results in lower fuel consumption; for example, a 3% efficiency difference can lead to a fuel consumption difference of approximately 0.5-1 L / 100km. Additionally, comparing the engine power of the target vehicle with that of the reference vehicle, examining the engine's maximum torque and range, reveals that better power reduces the need for heavy throttle use, thus lowering fuel consumption.

[0086] Therefore, if the target engine's constant-speed fuel consumption is less than or equal to the reference engine's constant-speed fuel consumption, the actual vehicle speed is within the economic speed range, the overall transmission efficiency is higher than the preset efficiency threshold, and the target vehicle's engine power performance is better than that of the reference vehicle's engine, the second evaluation result is determined to be that there is no abnormal fuel consumption in the configuration dimension.

[0087] Step S512: If the target engine's constant-speed fuel consumption is greater than the reference engine's constant-speed fuel consumption, or if the actual vehicle speed is not within the economic speed range, determine that the second evaluation result indicates an abnormal fuel consumption situation in the configuration dimension.

[0088] Similarly, if the target engine's constant-speed fuel consumption is greater than the reference engine's constant-speed fuel consumption, or if the actual vehicle speed is not within the economic speed range, or if the overall transmission efficiency is lower than the preset efficiency threshold, or if the target vehicle's engine power is lower than the reference vehicle's engine power, the second evaluation result is determined to be an abnormal fuel consumption situation in the configuration dimension.

[0089] In this embodiment, firstly, by comparing the universal characteristic curves of the target vehicle and the reference vehicle, the difference in constant-speed fuel consumption is determined. If the constant-speed fuel consumption of the target engine is greater than that of the reference engine, it indicates that the target vehicle's engine is causing abnormal fuel consumption. Next, based on the transmission ratio and rear axle ratio, it is determined whether the economic speed covers the actual speed. If not, it indicates an unreasonable powertrain matching, leading to abnormal fuel consumption. Thus, the powertrain can be verified based on the final second evaluation result, specifically whether the abnormal fuel consumption is caused by an unreasonable powertrain (either the target engine's constant-speed fuel consumption is greater than the reference engine's or the economic speed does not cover the actual speed). This allows for accurate identification, from a configuration perspective, whether the abnormal fuel consumption is due to an unreasonable powertrain configuration.

[0090] Step S208: Obtain the driving data of the target vehicle in the historical time period, and evaluate the fuel consumption of the target vehicle in the working condition dimension based on the driving data to obtain the third evaluation result.

[0091] The driving data includes the distribution of vehicle speed, engine speed, throttle opening, gear position, and torque over a historical period, which is used to determine whether the target vehicle matches the operating conditions.

[0092] In some embodiments, such as Figure 7The diagram shown illustrates the flowchart for determining the third evaluation result in one embodiment. Driving data includes an engine speed distribution map, vehicle speed distribution map, throttle speed heatmap, gear speed heatmap, and torque speed heatmap. Based on the driving data, the fuel consumption of the target vehicle under various operating conditions is evaluated to obtain the third evaluation result, including:

[0093] Step S702: Determine the percentage of the preset speed range based on the speed distribution diagram, and determine the percentage of the preset vehicle speed range based on the vehicle speed distribution diagram.

[0094] The preset speed range refers to the speed range that will not cause abnormal fuel consumption. The larger the proportion of the preset speed range, the more concentrated the engine speed and the more normal the fuel consumption. The smaller the proportion of the preset speed range, the less concentrated the engine speed and the more abnormal the fuel consumption. Discontinuous engine speed may indicate complex road conditions, while excessively high engine speed may indicate improper gear selection or insufficient vehicle power. For example, the preset speed range for commercial vehicle engines is approximately 1000-1500 rpm.

[0095] The preset speed range is the RPM range that will not cause abnormal fuel consumption. The smaller the proportion of the preset speed range, the less concentrated the vehicle speed, and the more abnormal the fuel consumption. For example, speeds higher than the maximum speed in the preset speed range or lower than the minimum speed in the preset speed range will result in abnormal fuel consumption; that is, unreasonable speeds will cause abnormal fuel consumption. For example, if the proportion of speeds above 89 km / h is high, consider whether the vehicle has been unlimited, as high speeds increase wind resistance and lead to higher fuel consumption.

[0096] For example, such as Figure 8A The image shows a rotational speed distribution diagram in one embodiment. The percentage of rotational speeds within each unit rotational speed range was statistically analyzed. Figure 8A It can be seen that the engine speed of the target vehicle is concentrated, that is, the preset speed range (i.e., 1000-1500rpm, which summarizes the statistical results of each unit speed range, i.e. 1000-1100, 1100-1200, 1200-1300, 1300-1400, 1400-1500) has the highest proportion.

[0097] like Figure 8B The image shows a vehicle speed distribution diagram in one embodiment. The percentage of speeds within each unit speed range was statistically analyzed. Figure 8B It can be seen that the engine speed of the target vehicle is concentrated, that is, the proportion of the preset speed range (i.e., 60-80km / h, which summarizes the unit speed range of 60-70 and the unit speed range of 70-80) is the highest.

[0098] Step S704: Determine the throttle opening of the target vehicle based on the throttle speed heatmap, determine the gear change trend as the vehicle speed changes based on the gear speed heatmap, and determine the actual torque ratio of the engine based on the torque speed heatmap.

[0099] The throttle speed heatmap is a heatmap of throttle speed, reflecting the frequency of the corresponding throttle opening percentage at each speed, such as... Figure 8C The image shows a throttle speed heatmap in one embodiment. In the throttle speed heatmap, lighter colors correspond to higher frequencies, representing the throttle opening of the target vehicle within a historical time period. The throttle speed heatmap is used to determine whether undesirable driving behaviors exist, such as excessive throttle (throttle opening above 70%), gradual throttle (pressing the accelerator deeply and then coasting; high proportions of excessive throttle and zero throttle).

[0100] The gear-speed heatmap is a heat map of vehicle speed at different gears, reflecting the frequency of the corresponding gear speed at each vehicle speed. Figure 8D The image shows a gear-speed heatmap in one embodiment. Lighter colors in the heatmap correspond to higher frequencies, indicating the gear shift trend of the target vehicle over a historical period. Higher speeds and higher gears generally result in lower fuel consumption, and vice versa. Based on the gear-speed heatmap, the rationality of gear usage can be verified. Good gear usage should involve gradually increasing gears with increasing speed. At speeds above 70 km / h, the highest gear should be used primarily. If a low gear is used at high speed, the driver should be instructed to shift gears actively to improve transmission efficiency.

[0101] like Figure 8E The image shows a torque-speed heatmap in one embodiment. In the torque-speed heatmap, lighter colors indicate higher frequency, corresponding to the actual engine torque percentage of the target vehicle over a historical period. Based on the torque-speed heatmap, we can understand the actual engine usage. For example, if torque is concentrated around 30%, there is excess power (overpowered engine for a small vehicle); if torque is concentrated around 70%, there is insufficient power (underpowered engine for a large vehicle). Both situations indicate a mismatch between the vehicle and its operating conditions. It also reflects the driver's skill level; an excellent driver maintains stable throttle, stable torque, and timely gear shifts while maintaining stable engine speed.

[0102] Step S706: If the proportion of the preset speed range is greater than or equal to the first proportion threshold, the proportion of the preset vehicle speed range is greater than or equal to the second proportion threshold, the gear change trend conforms to the preset change trend, and the actual engine torque proportion is greater than or equal to the third proportion threshold, then the third evaluation result is determined to be that there is no abnormal fuel consumption in the working condition dimension, and the preset change trend is that the higher the vehicle speed, the higher the corresponding gear.

[0103] Step S708: If the proportion of the preset speed range is less than the first proportion threshold, or the proportion of the preset vehicle speed range is less than the second proportion threshold, or the gear change trend does not conform to the preset change trend, or the actual engine torque proportion is less than the third proportion threshold, the third evaluation result is determined to be an abnormal fuel consumption situation in the working condition dimension.

[0104] In this embodiment, based on the speed distribution map, vehicle speed distribution map, throttle speed heat map, gear speed heat map, and torque speed heat map, the engine speed usage, vehicle speed, gear usage, throttle control, and overall engine usage are analyzed. This allows for the determination of the third evaluation result, thereby accurately identifying whether abnormal fuel consumption is caused by a mismatch between the target vehicle and the operating conditions from the perspective of operating conditions.

[0105] Step S210: Based on the first evaluation result, the second evaluation result, and the third evaluation result, determine the cause of the abnormal fuel consumption of the target vehicle.

[0106] For example, based on the first assessment result, the second assessment result, and the third assessment result, at least one cause of abnormal fuel consumption can be determined, such as abnormal driving trajectory, presence of uphill climbing, target vehicle engine, unreasonable power matching, unreasonable vehicle speed, abnormal speed, abnormal gear, abnormal torque, which lead to abnormal fuel consumption of the target vehicle.

[0107] The aforementioned method for analyzing vehicle fuel consumption involves several steps. First, upon detecting abnormal fuel consumption in a target vehicle, it acquires a heatmap of the vehicle's driving trajectory and the altitude data of the traveled routes over a historical period. Based on this data, the operating scenario of the target vehicle is realistically reconstructed, and its fuel consumption under this scenario is assessed, yielding a first assessment result to accurately identify whether the abnormal fuel consumption is caused by the operating scenario. Second, powertrain data is acquired, and based on this data, the vehicle's fuel consumption under configuration is assessed, yielding a second assessment result to accurately identify whether the abnormal fuel consumption is due to an unreasonable powertrain configuration. Third, driving data from the target vehicle over a historical period is acquired, and based on this data, the vehicle's fuel consumption under operating conditions is assessed, yielding a third assessment result to accurately identify whether the abnormal fuel consumption is caused by a mismatch between the vehicle and the operating conditions. Finally, based on the first, second, and third assessment results, a comprehensive multi-dimensional analysis is conducted at the vehicle level to realistically reconstruct the user's driving environment, thereby accurately identifying the cause of the abnormal fuel consumption and improving the accuracy of fuel consumption analysis.

[0108] In some embodiments, the method further includes: calculating the fuel consumption of the target vehicle and the reference vehicle under the same driving conditions, wherein the driving conditions are driving on a preset road segment with a preset load within a preset time period. If the fuel consumption of the target vehicle is inconsistent with that of the reference vehicle, it is determined that the target vehicle has abnormal fuel consumption. If the fuel consumption of the target vehicle is consistent with that of the reference vehicle, it is determined that the target vehicle has normal fuel consumption.

[0109] Among them, driving fuel consumption represents the actual fuel consumption level of the vehicle.

[0110] For example, in response to a trigger operation to perform fuel consumption anomaly analysis on a target vehicle, the computer device collects measurement data of the target vehicle and a reference vehicle under the same time period, the same preset road segment, and the same load. The measurement data includes fuel consumption at each statistical point in the preset road segment. The computer device removes the statistical points at idle speed from the statistical points and uses the removed statistical points as the target statistical points.

[0111] The computer equipment obtains the target fuel consumption for each target statistical point from the measurement data of the target vehicle, calculates the average of each target fuel consumption, and obtains the driving fuel consumption of the target vehicle. The computer equipment also obtains the reference fuel consumption for each target statistical point from the measurement data of the reference vehicle, calculates the average of each reference fuel consumption, and obtains the driving fuel consumption of the reference vehicle.

[0112] The computer equipment compares the fuel consumption of the target vehicle with that of the reference vehicle. If the fuel consumption of the target vehicle is inconsistent with that of the reference vehicle, it is determined that the target vehicle has abnormal fuel consumption; if the fuel consumption of the target vehicle is consistent with that of the reference vehicle, it is determined that the target vehicle has normal fuel consumption.

[0113] In this embodiment, after a user reports high fuel consumption of the target vehicle, the fuel consumption of both the target vehicle and a reference vehicle is first calculated under the same driving conditions: driving on a preset road segment with a preset load within a preset time period. Then, the fuel consumption of the target vehicle and the reference vehicle are compared to further verify whether an abnormal fuel consumption issue has occurred. If the fuel consumption of the target vehicle and the reference vehicle are inconsistent, an abnormal fuel consumption is detected in the target vehicle. If the fuel consumption of the target vehicle and the reference vehicle are consistent, the fuel consumption of the target vehicle is quickly and accurately determined to be normal.

[0114] In some embodiments, altitude data includes altitude values ​​corresponding to each mileage. Based on the driving trajectory heatmap and altitude data, the fuel consumption of the target vehicle in the operational scenario dimension is evaluated to obtain a first evaluation result, including: determining the driving trajectory of the target vehicle within a historical period based on the driving trajectory heatmap; determining the proportion of each road type within the driving trajectory, where road types include highways and non-highway types, with highways having lower fuel consumption than non-highway types; obtaining the highest altitude value from the altitude values ​​corresponding to each mileage; determining that the first evaluation result indicates no abnormal fuel consumption in the operational scenario dimension if the highest altitude value is less than a preset altitude value and the proportion of highways is higher than the proportion of non-highway types; and determining that the first evaluation result indicates abnormal fuel consumption in the operational scenario dimension if the highest altitude value is greater than or equal to the preset altitude value, or if the proportion of non-highway types is higher than the proportion of highway types.

[0115] For example, the computer device locates the driving trajectory of a target vehicle within a historical time period from a driving trajectory heatmap. The computer device acquires location data and road network data, determines the proportion of each road type within the driving trajectory, and calculates the proportion of each road type to determine a road type distribution map. Based on this road type distribution map, the computer device verifies whether the proportion of highway types is higher than the proportion of non-highway types.

[0116] The computer equipment determines the maximum altitude based on the altitude corresponding to each mileage. It then compares the maximum altitude with a preset altitude. If the maximum altitude is lower than the preset altitude and the proportion of high-speed vehicles is higher than the proportion of non-high-speed vehicles, the first assessment result is determined to be that there is no abnormal fuel consumption in the operational scenario dimension. If the maximum altitude is greater than or equal to the preset altitude, or if the proportion of non-high-speed vehicles is higher than the proportion of high-speed vehicles, the first assessment result is determined to be that there is abnormal fuel consumption in the operational scenario dimension.

[0117] For example, such as Figure 9 The diagram shown is a schematic representation of the road type distribution in one embodiment. Figure 9 Both urban and suburban roads are non-highway roads. Urban roads consume more fuel than suburban roads, and suburban roads consume more fuel than highway roads. Therefore... Figure 9 In the middle, the abnormal driving trajectory, that is, the proportion of suburban roads, also led to abnormal fuel consumption, that is, there is abnormal fuel consumption in the operational scenario.

[0118] In this embodiment, the driving trajectory of the target vehicle within a historical time period is located based on the driving trajectory heatmap, and the proportion of road types appearing in the driving trajectory is further statistically analyzed. The highest altitude value is obtained from the altitude values ​​corresponding to each mileage. If the highest altitude value is lower than a preset altitude value, and the proportion of highway types is higher than the proportion of non-highway types, it indicates that the target vehicle has not driven on uphill sections and rarely drives on non-highway sections; therefore, there is no abnormal fuel consumption in the operational scenario. If the highest altitude value is greater than or equal to the preset altitude value, it indicates that the target vehicle has driven on uphill sections; or, if the proportion of non-highway types is higher than the proportion of highway types, it indicates frequent driving on highway sections, i.e., there is abnormal fuel consumption in the operational scenario.

[0119] In some embodiments, determining the driving trajectory of a target vehicle within a historical time period based on a driving trajectory heatmap includes: obtaining multiple preliminary driving trajectories and the driving frequency of each preliminary driving trajectory from the driving trajectory heatmap; selecting the preliminary driving trajectory with the highest driving frequency from the multiple preliminary driving trajectories; and determining the selected preliminary driving trajectory as the driving trajectory of the target vehicle within the historical time period.

[0120] For example, the computer device obtains each planned driving trajectory and its label from the driving trajectory heatmap, and determines the driving trajectory frequency of each planned driving trajectory based on its label. The planned driving trajectory with the highest driving frequency is then selected from the multiple planned driving trajectories, and this selected planned driving trajectory is determined as the driving trajectory of the target vehicle within the historical time period.

[0121] The markings for the preliminary driving trajectory can be, but are not limited to, color markings or driving trajectory line markings. For example, the darker the color, the more frequently the preliminary driving trajectory will be driven. When the color is a preset color, such as red, the corresponding preliminary driving trajectory is determined to be the most frequently driven preliminary driving trajectory. Or, as... Figure 3 As shown, the most frequently used preparatory driving trajectory is represented by a solid black line, while the rest are represented by dashed lines. Therefore, as... Figure 10 The image shown is a schematic diagram of the driving trajectory in one embodiment. Figure 10 The driving trajectory in the middle corresponds to Figure 3 The pre-driving trajectory along the solid center line.

[0122] In this embodiment, the driving trajectory heatmap provides a clear and accurate view of each pre-trip driving trajectory and its frequency. This allows for the selection of the pre-trip driving trajectory with the highest frequency from multiple pre-trip tracks, which is then directly used as the target vehicle's driving trajectory within a historical time period, thereby improving the efficiency of driving trajectory determination.

[0123] As mentioned earlier, based on the first, second, and third assessment results, the analysis suggests that high fuel consumption may be caused by factors such as unreasonable power matching, high idling frequency, poor driving habits, complex road conditions, and malfunctions. After providing targeted solutions, the subsequent fuel consumption curve should be monitored. Figure 11 The image shown is a schematic diagram of the fuel consumption change curve in one embodiment. By focusing on... Figure 11 This ensures that fuel consumption meets the expected target.

[0124] In one specific embodiment, the specific steps are as follows:

[0125] First, the computer equipment calculates the fuel consumption of the target vehicle and the reference vehicle under the same driving conditions, which are driving on a preset road section with a preset load within a preset time period. If the fuel consumption of the target vehicle is inconsistent with that of the reference vehicle, it is determined that the target vehicle has abnormal fuel consumption. If the fuel consumption of the target vehicle is consistent with that of the reference vehicle, it is determined that the target vehicle has normal fuel consumption.

[0126] Secondly, upon detecting abnormal fuel consumption in the target vehicle, the computer equipment acquires a heatmap of the target vehicle's driving trajectory over a historical period and the altitude data of the traveled routes, including the altitude values ​​corresponding to each mileage. From the driving trajectory heatmap, the computer equipment obtains multiple preliminary driving trajectories and the driving frequency of each preliminary driving trajectory; it then selects the preliminary driving trajectory with the highest driving frequency from among the multiple preliminary driving trajectories and determines this selected preliminary driving trajectory as the target vehicle's driving trajectory over the historical period. The computer equipment determines the proportion of each road type within the driving trajectory, including highway and non-highway types, with highway types having lower fuel consumption than non-highway types; it obtains the highest altitude value from the altitude values ​​corresponding to each mileage; if the highest altitude value is lower than a preset altitude value and the proportion of highway types is higher than the proportion of non-highway types, the first assessment result is determined to be that there is no abnormal fuel consumption in the operational scenario dimension; if the highest altitude value is greater than or equal to the preset altitude value, or if the proportion of non-highway types is higher than the proportion of highway types, the first assessment result is determined to be that there is abnormal fuel consumption in the operational scenario dimension.

[0127] Next, the computer equipment acquires the powertrain data of the target vehicle's powertrain, which includes the engine, transmission, and rear axle. The powertrain data includes the engine's universal characteristic curve, transmission ratio, and rear axle ratio.

[0128] The computer equipment acquires the universal characteristic curves of the target vehicle and the reference vehicle. Based on the universal characteristic curve of the target vehicle, the constant-speed fuel consumption of the target engine corresponding to the target vehicle is determined. Based on the universal characteristic curve of the reference vehicle, the constant-speed fuel consumption of the reference engine corresponding to the reference vehicle is determined. Based on the transmission ratio and the rear axle ratio, the economic speed range of the engine is determined, and the actual speed of the target vehicle is obtained.

[0129] The powertrain data also includes the transmission's highest gear efficiency and the rear axle transmission efficiency. Computer equipment calculates the product of these two efficiency values ​​to obtain the overall transmission efficiency (i.e., the powertrain's transmission efficiency). The engine power of the target vehicle and the engine power of the reference vehicle are then compared.

[0130] If the target engine's constant-speed fuel consumption is less than or equal to the reference engine's constant-speed fuel consumption, the actual vehicle speed is within the economic speed range, the overall transmission efficiency is higher than the preset efficiency threshold, and the target vehicle's engine power performance is better than the reference vehicle's engine power performance, then the second evaluation result is determined to be that there is no abnormal fuel consumption in the configuration dimension. If the target engine's constant-speed fuel consumption is greater than the reference engine's constant-speed fuel consumption, or the actual vehicle speed is not within the economic speed range, or the overall transmission efficiency is lower than the preset efficiency threshold, or the target vehicle's engine power performance is lower than the reference vehicle's engine power performance, then the second evaluation result is determined to be that there is abnormal fuel consumption in the configuration dimension.

[0131] Next, the computer equipment acquires the target vehicle's driving data over a historical period. This data includes an engine speed distribution map, a vehicle speed distribution map, a throttle speed heatmap, a gear speed heatmap, and a torque speed heatmap. Based on the engine speed distribution map, the computer equipment determines the percentage of a preset engine speed range; based on the vehicle speed distribution map, it determines the percentage of a preset vehicle speed range. Based on the throttle speed heatmap, it determines the target vehicle's throttle opening; based on the gear speed heatmap, it determines the gear change trend as vehicle speed changes; and based on the torque speed heatmap, it determines the actual torque percentage of the engine.

[0132] If the proportion of the preset RPM range is greater than or equal to the first proportion threshold, the proportion of the preset vehicle speed range is greater than or equal to the second proportion threshold, the gear change trend conforms to the preset change trend, and the actual engine torque proportion is greater than or equal to the third proportion threshold, the third evaluation result is determined to be that there is no abnormal fuel consumption in the working condition dimension, and the preset change trend is that the higher the vehicle speed, the higher the corresponding gear.

[0133] If the proportion of the preset speed range is less than the first proportion threshold, or the proportion of the preset vehicle speed range is less than the second proportion threshold, or the gear change trend does not conform to the preset change trend, or the actual engine torque proportion is less than the third proportion threshold, the third evaluation result is determined to be an abnormal fuel consumption situation in the working condition dimension.

[0134] Finally, the computer equipment determines the cause of the abnormal fuel consumption of the target vehicle based on the results of the first, second, and third assessments.

[0135] In this embodiment, when abnormal fuel consumption is detected in a target vehicle, a heatmap of the target vehicle's driving trajectory and altitude data of the traveled path over a historical period are obtained. Based on the heatmap and altitude data, the operating scenario of the target vehicle is realistically reconstructed, and the fuel consumption of the target vehicle in the operating scenario dimension is evaluated to obtain a first evaluation result, accurately identifying whether the abnormal fuel consumption is caused by the operating scenario. Powertrain data of the target vehicle's internal powertrain is obtained, and based on the powertrain data, the fuel consumption of the target vehicle in the configuration dimension is evaluated to obtain a second evaluation result, accurately identifying whether the abnormal fuel consumption is caused by an unreasonable powertrain configuration. Driving data of the target vehicle over a historical period is obtained, and based on the driving data, the fuel consumption of the target vehicle in the operating condition dimension is evaluated to obtain a third evaluation result, accurately identifying whether the abnormal fuel consumption is caused by a mismatch between the target vehicle and the operating conditions. Finally, based on the first, second, and third evaluation results, a multi-dimensional comprehensive analysis is performed at the vehicle level to realistically reconstruct the user's driving environment, thereby accurately identifying the cause of the abnormal fuel consumption of the target vehicle and improving the accuracy of fuel consumption analysis.

[0136] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0137] Based on the same inventive concept, this application also provides a vehicle fuel consumption analysis device for implementing the vehicle fuel consumption analysis method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more vehicle fuel consumption analysis device embodiments provided below can be found in the limitations of the vehicle fuel consumption analysis method described above, and will not be repeated here.

[0138] In one exemplary embodiment, such as Figure 12 As shown, a vehicle fuel consumption analysis device 1200 is provided, including: an acquisition module 1202, a first evaluation module 1204, a second evaluation module 1206, a third evaluation data 1208, and a determination module 1210, wherein:

[0139] The acquisition module 1202 is used to acquire the heat map of the target vehicle's driving trajectory and the altitude data of the route it travels over a historical period when an abnormal fuel consumption of the target vehicle is detected.

[0140] The first evaluation module 1204 is used to evaluate the fuel consumption of the target vehicle in the operational scenario based on the driving trajectory heat map and altitude data, and obtain the first evaluation result.

[0141] The second evaluation module 1206 is used to acquire powertrain data of the powertrain within the target vehicle, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration, and obtain the second evaluation result.

[0142] The third evaluation data 1208 is used to obtain the target vehicle's driving data in historical time periods. Based on the driving data, the fuel consumption of the target vehicle in terms of working conditions is evaluated to obtain the third evaluation result.

[0143] The determination module 1210 is used to determine the cause of abnormal fuel consumption of the target vehicle based on the first evaluation result, the second evaluation result, and the third evaluation result.

[0144] In some embodiments, the device further includes a verification module, which is used to calculate the fuel consumption of the target vehicle and the reference vehicle under the same driving conditions, wherein the driving conditions are driving on a preset road segment with a preset load within a preset time period. If the fuel consumption of the target vehicle is inconsistent with that of the reference vehicle, the target vehicle is found to have abnormal fuel consumption. If the fuel consumption of the target vehicle is consistent with that of the reference vehicle, the target vehicle is found to have normal fuel consumption.

[0145] In some embodiments, the altitude data includes altitude values ​​corresponding to each mileage. The first evaluation module is used to determine the driving trajectory of the target vehicle within a historical time period based on the driving trajectory heatmap. It determines the proportion of each road type within the driving trajectory, including highway and non-highway types, with highway types having lower fuel consumption than non-highway types. It obtains the highest altitude value from the altitude values ​​corresponding to each mileage. If the highest altitude value is less than a preset altitude value and the proportion of highway types is higher than the proportion of non-highway types, the first evaluation result is determined to be that there is no abnormal fuel consumption in the operational scenario dimension. If the highest altitude value is greater than or equal to the preset altitude value, or if the proportion of non-highway types is higher than the proportion of highway types, the first evaluation result is determined to be that there is abnormal fuel consumption in the operational scenario dimension.

[0146] In some embodiments, the first evaluation module is configured to obtain multiple preliminary driving trajectories and the driving frequency of each preliminary driving trajectory from a driving trajectory heatmap. The module then filters out the preliminary driving trajectory with the highest driving frequency from the multiple preliminary driving trajectories and determines the filtered preliminary driving trajectory as the driving trajectory of the target vehicle within a historical time period.

[0147] In some embodiments, the powertrain includes an engine, a transmission, and a rear axle. Powertrain data includes the universal characteristic curve of the engine, the transmission ratio, and the rear axle ratio. A second evaluation module is used to acquire the universal characteristic curves of the target vehicle and a reference vehicle. Based on the universal characteristic curve of the target vehicle, the constant-speed fuel consumption of the target engine corresponding to the target vehicle is determined. Based on the universal characteristic curve of the reference vehicle, the constant-speed fuel consumption of the reference engine corresponding to the reference vehicle is determined. Based on the transmission ratio and the rear axle ratio, the economic speed range of the engine is determined, and the actual speed of the target vehicle is obtained. If the constant-speed fuel consumption of the target engine is less than or equal to the constant-speed fuel consumption of the reference engine, and the actual speed is within the economic speed range, the second evaluation result is determined to be that there is no abnormal fuel consumption in the configuration dimension. If the constant-speed fuel consumption of the target engine is greater than the constant-speed fuel consumption of the reference engine, or if the actual speed is not within the economic speed range, the second evaluation result is determined to be that there is abnormal fuel consumption in the configuration dimension.

[0148] In some embodiments, the driving data includes a speed distribution map, a vehicle speed distribution map, a throttle speed heatmap, a gear speed heatmap, and a torque speed heatmap. The third evaluation module is used to determine the proportion of a preset speed range based on the speed distribution map, and to determine the proportion of a preset vehicle speed range based on the vehicle speed distribution map. Based on the throttle speed heatmap, the throttle opening of the target vehicle is determined; based on the gear speed heatmap, the gear change trend as a function of vehicle speed is determined; and based on the torque speed heatmap, the actual engine torque proportion is determined. If the proportion of the preset speed range is greater than or equal to a first proportion threshold, and the proportion of the preset vehicle speed range is greater than or equal to a second proportion threshold, and the gear change trend conforms to a preset change trend, and the actual engine torque proportion is greater than or equal to a third proportion threshold, then the third evaluation result is determined to be that there is no abnormal fuel consumption in the operating condition dimension, and the preset change trend is that the higher the vehicle speed, the higher the corresponding gear. If the proportion of the preset speed range is less than the first proportion threshold, or the proportion of the preset vehicle speed range is less than the second proportion threshold, or the gear change trend does not conform to the preset change trend, or the actual engine torque proportion is less than the third proportion threshold, the third evaluation result is determined to be an abnormal fuel consumption situation in the working condition dimension.

[0149] The various modules in the aforementioned vehicle fuel consumption analysis device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0150] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 13 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and databases. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media to run. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for analyzing vehicle fuel consumption.

[0151] Those skilled in the art will understand that Figure 13The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0152] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0153] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0154] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0155] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0156] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0157] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for analyzing vehicle fuel consumption, characterized in that, The method includes: If abnormal fuel consumption is detected in the target vehicle, a heat map of the target vehicle's driving trajectory and the altitude data of the route traveled are obtained during a historical period; the altitude data includes the altitude value corresponding to each mileage. Based on the driving trajectory heatmap, the driving trajectory of the target vehicle during the historical period is determined; Determine the proportion of each road type within the driving trajectory. The road types include highway types and non-highway types, and the fuel consumption of the highway type is lower than that of the non-highway type. The highest altitude value is obtained from the altitude values ​​corresponding to each mileage. If the highest altitude value is less than the preset altitude value and the proportion of high-speed type is higher than the proportion of non-high-speed type, the first evaluation result is determined to be that there is no abnormal fuel consumption in the operation scenario dimension. If the highest altitude value is greater than or equal to the preset altitude value, or if the proportion of non-high-speed types is higher than the proportion of high-speed types, the first evaluation result is determined to be an abnormal fuel consumption situation in the operation scenario dimension. Obtain the powertrain data of the target vehicle's internal powertrain, and based on the powertrain data, evaluate the fuel consumption of the target vehicle in terms of configuration to obtain a second evaluation result; The driving data of the target vehicle during the historical period is obtained, and the fuel consumption of the target vehicle in terms of working conditions is evaluated based on the driving data to obtain a third evaluation result. Based on the first evaluation result, the second evaluation result, and the third evaluation result, the cause of the abnormal fuel consumption of the target vehicle is determined.

2. The method according to claim 1, characterized in that, The method further includes: The fuel consumption of the target vehicle and the reference vehicle under the same driving conditions is calculated. The driving conditions are driving on a preset road section with a preset load within a preset time period. If the fuel consumption of the target vehicle is inconsistent with that of the reference vehicle, it is determined that the target vehicle has abnormal fuel consumption. If the fuel consumption of the target vehicle is consistent with that of the reference vehicle, it is verified that the fuel consumption of the target vehicle is normal.

3. The method according to claim 1, characterized in that, Determining the driving trajectory of the target vehicle within the historical time period based on the driving trajectory heatmap includes: From the driving trajectory heatmap, obtain multiple preliminary driving trajectories and the driving frequency of each preliminary driving trajectory; The most frequently used driving trajectory is selected from multiple pre-selected driving trajectories, and the selected pre-selected driving trajectory is determined as the driving trajectory of the target vehicle within the historical period.

4. The method according to claim 1, characterized in that, The powertrain includes an engine, transmission, and rear axle. The powertrain data includes the universal characteristic curve of the engine, transmission gear ratios, and rear axle gear ratios. Based on the powertrain data, the fuel consumption of the target vehicle in terms of configuration is evaluated to obtain a second evaluation result, including: Obtain the universal characteristic curve of the target vehicle and the universal characteristic curve of the reference vehicle; Based on the universal characteristic curve of the target vehicle, determine the constant-speed fuel consumption of the target engine corresponding to the target vehicle; Based on the universal characteristic curve of the reference vehicle, determine the constant-speed fuel consumption of the reference engine corresponding to the reference vehicle. Based on the transmission ratio and the rear axle ratio, the economic speed range of the engine is determined, and the actual speed of the target vehicle is obtained. If the target engine's constant-speed fuel consumption is less than or equal to the reference engine's constant-speed fuel consumption, and the actual vehicle speed is within the economic speed range, then the second evaluation result is determined to be that there is no abnormal fuel consumption in the configuration dimension. If the target engine's constant-speed fuel consumption is greater than the reference engine's constant-speed fuel consumption, or if the actual vehicle speed is not within the economic speed range, the second evaluation result is determined to be an abnormal fuel consumption situation in the configuration dimension.

5. The method according to claim 1, characterized in that, The driving data includes a speed distribution map, a vehicle speed distribution map, a throttle speed heatmap, a gear speed heatmap, and a torque speed heatmap; based on the driving data, the fuel consumption of the target vehicle under various operating conditions is evaluated to obtain a third evaluation result, including: Based on the speed distribution diagram, determine the proportion of the preset speed range, and based on the vehicle speed distribution diagram, determine the proportion of the preset vehicle speed range. Based on the throttle speed heatmap, the throttle opening of the target vehicle is determined; based on the gear speed heatmap, the gear change trend as the gear changes with the vehicle speed is determined; and based on the torque speed heatmap, the actual torque percentage of the engine is determined. If the proportion of the preset speed range is greater than or equal to the first proportion threshold, and the proportion of the preset vehicle speed range is greater than or equal to the second proportion threshold, and the gear change trend conforms to the preset change trend, and the proportion of the actual engine torque is greater than or equal to the third proportion threshold, then the third evaluation result is determined to be that there is no abnormal fuel consumption in the operating condition dimension, and the preset change trend is that the higher the vehicle speed, the higher the corresponding gear. If the proportion of the preset speed range is less than the first proportion threshold, or the proportion of the preset vehicle speed range is less than the second proportion threshold, or the gear change trend does not conform to the preset change trend, or the proportion of the actual engine torque is less than the third proportion threshold, the third evaluation result is determined to be an abnormal fuel consumption situation in the operating condition dimension.

6. A vehicle fuel consumption analysis device, characterized in that, The device includes: The acquisition module is used to acquire, when an abnormal fuel consumption is detected in a target vehicle, a heat map of the target vehicle's driving trajectory and the altitude data of the route traveled during a historical period; the altitude data includes the altitude value corresponding to each mileage. The first evaluation module is used to determine the driving trajectory of the target vehicle within the historical time period based on the driving trajectory heatmap; determine the proportion of each road type within the driving trajectory, wherein the road types include highway types and non-highway types, and the fuel consumption of the highway type is lower than that of the non-highway type; obtain the highest altitude value from the altitude values ​​corresponding to each mileage; if the highest altitude value is less than a preset altitude value and the proportion of the highway type is higher than the proportion of the non-highway type, determine that the first evaluation result is that there is no abnormal fuel consumption in the operational scenario dimension; if the highest altitude value is greater than or equal to the preset altitude value, or if the proportion of the non-highway type is higher than the proportion of the highway type, determine that the first evaluation result is that there is abnormal fuel consumption in the operational scenario dimension. The second evaluation module is used to acquire powertrain data of the powertrain within the target vehicle, and to evaluate the fuel consumption of the target vehicle in terms of configuration based on the powertrain data, thereby obtaining a second evaluation result. The third evaluation data is used to obtain the driving data of the target vehicle during the historical period. Based on the driving data, the fuel consumption of the target vehicle in the working condition dimension is evaluated to obtain the third evaluation result. The determination module is used to determine the cause of the abnormal fuel consumption of the target vehicle based on the first evaluation result, the second evaluation result, and the third evaluation result.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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