Fuel consumption analysis method and device for commercial vehicle

Abstract

The invention discloses a commercial vehicle single-vehicle fuel consumption comparative analysis method and device, and relates to the field of vehicle performance analysis. The method comprises the following steps: acquiring vehicle fuel consumption mileage information, vehicle state information, pedestrian driving information, vehicle load information and driving route information; under the conditions of the same vehicle type, the same driving route and the same load, determining a comparison vehicle with normal fuel consumption and a to-be-analyzed vehicle with abnormal fuel consumption according to the vehicle fuel consumption mileage information; according to the vehicle state information and the pedestrian driving information of the to-be-analyzed vehicle and the comparison vehicle, oil consumption analysis is conducted on the to-be-analyzed vehicle. According to the method, the effect of remarkably improving the oil consumption analysis precision can be reflected on the basis of the reference condition and the dynamic change information selected for oil consumption analysis, or the oil consumption analysis means or the verification result.

Description

Technical Field

[0001] The present invention relates to the field of vehicle performance analysis, and in particular to a method and device for comparing and analyzing fuel consumption of a single commercial vehicle. Background Art

[0002] At present, the common methods for analyzing vehicle fuel consumption are generally:

[0003] Obtain the vehicle operating condition information of the target vehicle during operation, construct the target vehicle's throttle distribution, speed distribution, gear distribution and other operating condition distribution diagrams based on the operating condition data, and perform fuel consumption analysis based on the operating condition distribution diagram; for example, the Chinese invention patent "Vehicle Fuel Consumption Analysis Method, Device, Computer Equipment and Storage Medium" with publication number CN115862187A.

[0004] However, for commercial vehicles, the fuel consumption of commercial vehicles is related to different loads, road conditions, etc., so it is not accurate to simply analyze the fuel consumption based on single vehicle parameters.

[0005] To this end, the industry has proposed two fuel consumption analysis methods based on commercial vehicles:

[0006] (1) Compare the fuel consumption of the target vehicle with that of the reference vehicle under the same time period, load, and road conditions to identify abnormal fuel consumption of the target vehicle and analyze the cause of abnormal fuel consumption based on the vehicle power chain data, trajectory driving heat map, and altitude data; for example, the Chinese invention patent "Vehicle Fuel Consumption Analysis Method, Device, Computer Equipment and Storage Medium" with publication number CN117804563A.

[0007] (2) Using the real-time data of truck operation, a regression model of fuel consumption influencing factors is constructed based on the three factors of average speed, total weight of vehicle and cargo, and average longitudinal slope of the road for different types of trucks, and the influence coefficient is output; for example, the Chinese invention patent with publication number CN111354100A, "A method for quantitative analysis of key factors of truck fuel consumption based on trajectory data".

[0008] However, even after the corresponding parameter optimization is performed based on the fuel consumption analysis results obtained by the above two methods, abnormal fuel consumption still occurs most of the time, that is, the accuracy of fuel consumption analysis is low. Summary of the invention

[0009] In view of the defects existing in the prior art, the technical problem solved by the present invention is: to provide a fuel consumption analysis method for commercial vehicles based on vehicle status information, pedestrian driving information, the same load information, the same vehicle model, and the same driving route, thereby improving the accuracy of fuel consumption analysis.

[0010] To achieve the above objectives, in a first aspect, an embodiment of the present application provides a method for comparing and analyzing fuel consumption of a single commercial vehicle, the method comprising the following steps: obtaining vehicle fuel consumption mileage information, vehicle status information, pedestrian driving information, vehicle load information and driving route information; under the conditions of the same vehicle model, the same driving route, and the same load, determining a comparison vehicle with normal fuel consumption and a vehicle to be analyzed with abnormal fuel consumption based on the vehicle fuel consumption mileage information; performing fuel consumption analysis on the vehicle to be analyzed based on the vehicle status information and pedestrian driving information of the vehicle to be analyzed and the comparison vehicle.

[0011] In combination with the first aspect, in one embodiment, the process of determining a comparison vehicle with normal fuel consumption based on the vehicle fuel consumption mileage information includes: obtaining the fuel consumption value with the largest number of vehicles within a specified mileage as the median fuel consumption value based on the vehicle fuel consumption mileage information, and taking all vehicles with fuel consumption of the median fuel consumption value as comparison vehicles.

[0012] In combination with the first aspect, in one implementation, the vehicle to be analyzed is a vehicle whose fuel consumption has a difference with a median fuel consumption value that is above a specified threshold.

[0013] In combination with the first aspect, in one embodiment, the process of performing fuel consumption analysis on the vehicle to be analyzed based on the vehicle status information and pedestrian driving information of the vehicle to be analyzed and all comparison vehicles includes: determining the standard values ​​of the vehicle status information and pedestrian driving information by calculating the average value, and taking the vehicle status information and / or pedestrian driving information whose difference with the standard value is above a specified threshold as the fuel consumption analysis result.

[0014] In conjunction with the first aspect, in one implementation, the process of obtaining the driving route information includes: collecting GPS positioning data of the vehicle, filtering points with unchanged longitude and latitude in the GPS positioning data, and forming a driving route according to coordinate information corresponding to the remaining points;

[0015] The process of obtaining the vehicle load information includes: collecting the vehicle load data, and obtaining the vehicle load average value according to the vehicle load data.

[0016] In combination with the first aspect, in one implementation, the process of forming a driving route according to the coordinate information corresponding to the remaining points includes: obtaining administrative codes corresponding to the remaining points according to map information, obtaining the city corresponding to each remaining point according to the correspondence between the administrative code and the city, and splicing the corresponding city names according to the arrangement order of each remaining point to obtain the driving route;

[0017] The process of obtaining the vehicle's load average value based on the vehicle's load data includes: filtering out invalid values ​​in the load data, sorting the load data according to the collection time sequence, and calculating the load average value;

[0018] The process of obtaining the vehicle fuel consumption mileage information includes: obtaining the vehicle's fuel consumption data and mileage data.

[0019] In conjunction with the first aspect, in one implementation, the process of obtaining vehicle fuel consumption mileage information, vehicle load information, and driving route information further includes: associating vehicle fuel consumption mileage information, vehicle load information, and driving route information of the same vehicle based on time as an association condition;

[0020] The criteria for determining the same driving route are: routes with the same starting point, end point and passing points;

[0021] The criteria for determining the same load are: the load difference is within the specified weight;

[0022] The method also includes the following steps: obtaining vehicle unique identification parameters and vehicle model information.

[0023] In combination with the first aspect, in one embodiment, the parameters of the vehicle status information include: vehicle operating status index, engine operating status index, transmission operating status index and post-processing status index; the parameters of the pedestrian driving information include bad driving behavior information and driving operation information.

[0024] In combination with the first aspect, in one implementation, the vehicle operation status indicator refers to the frequency of vehicle failures that affect fuel consumption;

[0025] The engine operation status indicators include the combustion mode ratio, the torque mode ratio, the average engine water temperature, the average oil pressure and the average oil temperature;

[0026] The gearbox operating status indicators include the frequency of gear shifting per 100 kilometers, the proportion of accumulated time in high gear, and the number of clutch opening and closing times;

[0027] The post-treatment status indicators include urine-to-fuel ratio, NOx emission value, parking regeneration times and driving regeneration times;

[0028] The bad driving behavior information includes the number of sudden accelerations and the number of high throttle times;

[0029] The driving operation information includes average driving speed, economic operating time ratio, number of starts and stops per 100 kilometers, number of brakes per 100 kilometers, idling time ratio and frequency of air conditioning use.

[0030] In a second aspect, an embodiment of the present application provides a fuel consumption analysis device for a commercial vehicle, which is used to implement the method provided in the first aspect.

[0031] Compared with the prior art, the advantages of the present invention are:

[0032] When conducting fuel consumption analysis, this application uses the same vehicle model, same load, and same route as the benchmark conditions. This is because different vehicle models have different fuel consumption standards, and different loads and different driving routes correspond to different fuel consumptions, which are not comparable. On this basis, this application uses the fuel consumption information to obtain a comparison vehicle with normal fuel consumption from vehicles that meet the benchmark conditions as a standard reference. After performing a fuel consumption analysis on each vehicle to be analyzed with abnormal fuel consumption using dynamically changing information (vehicle status information and pedestrian driving information), the fuel consumption result can be obtained, that is, the cause of the abnormal fuel consumption (vehicle status and / or pedestrian driving behavior).

[0033] It has been verified that after adjusting the corresponding parameters (correcting the vehicle status and / or changing the pedestrian driving behavior) according to the fuel consumption analysis results of this application, the fuel consumption obviously returns to normal values.

[0034] Therefore, the method of the present application can significantly improve the accuracy of fuel consumption analysis from the perspective of the benchmark conditions and dynamic change information selected for fuel consumption analysis, or the fuel consumption analysis method (first selecting the comparison vehicle and the vehicle to be analyzed based on the benchmark conditions, and then performing fuel consumption analysis based on the dynamic change information), or the verification results. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 This is a schematic diagram of a process for analyzing fuel consumption of a commercial vehicle in an embodiment of the present application;

[0037] Figure 2 This is a schematic diagram of the hardware structure of a fuel consumption analysis device for commercial vehicles involved in the embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0039] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0040] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0041] First, the research and development process of this application is briefly described.

[0042] The applicant conducted research and experiments and concluded that for commercial vehicles, it is necessary to analyze dynamically changing factors under the condition that key static factors are the same. For example, when the load, route, and vehicle type are the same, the dynamic parameters of a vehicle with abnormal fuel consumption do not meet the standards. The fuel consumption of the vehicle can be optimized by adjusting the dynamic parameters that do not meet the standards. The fuel consumption analysis results obtained in this way will also be more accurate.

[0043] Therefore, the reasons why the fuel consumption analysis in the prior art is low are:

[0044] (1) Single vehicle fuel consumption analysis lacks a comparison of fuel consumption performance of vehicles of the same model, route and load, and cannot objectively reflect the fuel consumption performance of a single vehicle;

[0045] (2) The key factors that affect fuel consumption are missing, and there is a lack of extraction of factors that affect fuel consumption for "vehicles" and "people".

[0046] On this basis, in the first aspect, an embodiment of the present application provides a fuel consumption analysis method for commercial vehicles, the steps of which include: obtaining fuel consumption mileage information, vehicle status information, pedestrian driving information, vehicle load information and driving route information of vehicles that need to be analyzed for fuel consumption within a specified period (the specific period is set according to different needs and is not limited here); under the conditions of the same vehicle model, the same driving route (a route with the same starting point, end point and waypoints within the specified period), and the same load (the load difference within the specified period is within the specified weight), determining a comparison vehicle with normal fuel consumption and a vehicle to be analyzed with abnormal fuel consumption according to the vehicle fuel consumption mileage information; performing fuel consumption analysis on each vehicle to be analyzed according to the vehicle status information and pedestrian driving information of the vehicle to be analyzed and all comparison vehicles.

[0047] It can be seen that when conducting fuel consumption analysis, this application uses the same model, same load, and same route as the benchmark conditions. This is because different models have different fuel consumption standards, and different loads and different driving routes correspond to different fuel consumptions, which are not comparable. On this basis, this application obtains a comparison vehicle with normal fuel consumption from the vehicles that meet the benchmark conditions based on the fuel consumption information as a standard reference. After performing a fuel consumption analysis on each vehicle to be analyzed with abnormal fuel consumption using dynamically changing information (vehicle status information and pedestrian driving information), the fuel consumption result can be obtained, that is, the cause of the abnormal fuel consumption (vehicle status and / or pedestrian driving behavior).

[0048] It has been verified that after adjusting the corresponding parameters (correcting the vehicle status and / or changing the pedestrian driving behavior) according to the fuel consumption analysis results of this application, the fuel consumption obviously returns to normal values.

[0049] Therefore, the method of the present application can significantly improve the accuracy of fuel consumption analysis from the perspective of the benchmark conditions and dynamic change information selected for fuel consumption analysis, or the fuel consumption analysis method (first selecting the comparison vehicle and the vehicle to be analyzed based on the benchmark conditions, and then performing fuel consumption analysis based on the dynamic change information), or the verification results.

[0050] The above method is described below through several embodiments.

[0051] In one embodiment, the process of obtaining vehicle fuel consumption mileage information, vehicle status information, pedestrian driving information, vehicle load information and driving route information within a specified period in the above method includes: creating a fuel consumption analysis database, the fuel consumption analysis database includes a static database and a dynamic database, collecting and uploading vehicle model information, vehicle fuel consumption mileage information, vehicle load information and driving route information within a specified period to the static database, and collecting and uploading vehicle status information and pedestrian driving information within a specified period to the dynamic database.

[0052] In one embodiment, the process of obtaining (collecting and uploading to a database) driving route information includes: collecting GPS positioning data of the vehicle, filtering out points with unchanged longitude and latitude in the GPS positioning data, and forming a driving route according to the coordinate information corresponding to the remaining points. The specific process may be: obtaining the administrative codes corresponding to the remaining points according to the map information, obtaining the city corresponding to each remaining point according to the correspondence between the administrative code and the city, and splicing the corresponding city names according to the arrangement order of each remaining point to obtain the driving route.

[0053] In one embodiment, the process of obtaining vehicle load information includes: collecting vehicle load data, and obtaining the average load value of the vehicle within the above-mentioned specified period as the vehicle load information based on the vehicle load data; the specific process is: after filtering out invalid values ​​in the load data (such as 0 or obviously abnormal data), sorting the load data according to the collection time series, and calculating the load average value.

[0054] In one embodiment, the process of obtaining vehicle fuel consumption mileage information includes: collecting and uploading vehicle fuel consumption data and mileage data.

[0055] In one embodiment, the process of obtaining vehicle fuel consumption mileage information, vehicle load information and driving route information within a specified period in the above method also includes: associating the vehicle fuel consumption mileage information, vehicle load information and driving route information of the same vehicle based on time as the association condition.

[0056] In one embodiment, the above method also includes the following steps: obtaining the unique identification parameters of the vehicle that needs to be analyzed for fuel consumption (this embodiment uses the vehicle chassis number as the unique identification parameter) and vehicle model information, the data sources include the production and manufacturing system, customer sales system, R&D data management system, etc., and new data can also be imported from external data sources.

[0057] In one embodiment, the process of determining a comparison vehicle with normal fuel consumption based on vehicle fuel consumption mileage information in the above method includes: obtaining the fuel consumption value with the largest number of vehicles within a specified mileage as the median fuel consumption value based on the vehicle fuel consumption mileage information, and taking all vehicles with fuel consumption of the median fuel consumption value as comparison vehicles.

[0058] On this basis, the process of determining the vehicles to be analyzed in the above method includes: determining all vehicles whose fuel consumption is different from the median fuel consumption and is above a specified threshold (the specified threshold in this embodiment is 3 times the standard deviation of the median fuel consumption, which can be set according to different requirements). If this happens, it means that the fuel consumption of the corresponding vehicle is abnormal and needs to be analyzed; the corresponding vehicle is used as the vehicle to be analyzed.

[0059] In one embodiment, the parameters of the vehicle status information in the above method include: vehicle operation status index, engine operation status index, transmission operation status index and post-processing status index; the parameters of pedestrian driving information include bad driving behavior information and driving operation information.

[0060] Specific:

[0061] For vehicle status information:

[0062] The vehicle operation status indicators include the frequency of vehicle failures that affect fuel consumption, etc.

[0063] The engine operating status indicators include the combustion mode ratio, torque mode ratio, average engine water temperature, average oil pressure and average oil temperature, etc.

[0064] Transmission operating status indicators include gear shift frequency per 100 kilometers, cumulative time percentage in high gear, and clutch opening and closing times;

[0065] Post-treatment status indicators include urine-to-gas ratio, NOx (nitrogen oxide) emission value, number of parking regenerations and number of driving regenerations, etc.

[0066] For pedestrian driving information:

[0067] Bad driving behavior information includes: the number of sudden accelerations and high throttle times;

[0068] Driving operation information includes: average driving speed, proportion of economic operating time, number of starts and stops per 100 kilometers, number of brakes per 100 kilometers, proportion of idling time and frequency of air conditioning use.

[0069] In one embodiment, the above method includes the following steps of performing fuel consumption analysis on each vehicle to be analyzed based on the vehicle status information and pedestrian driving information of the vehicle to be analyzed and all comparison vehicles: determining the standard value of the vehicle status information and pedestrian driving information within the above specified period by calculating the average value (i.e., calculating the average value of each of the above specific parameters), and taking the vehicle status information and / or pedestrian driving information whose difference with the standard value is above a specified threshold as the fuel consumption analysis result (i.e., the cause of the abnormal fuel consumption).

[0070] On the basis of the above-mentioned fuel consumption analysis rules, ordinary technicians in this field can obtain specific implementation means according to their own needs in combination with the publicly known information in this field, such as modeling and calculating each of the above-mentioned parameters.

[0071] The above method is described below through a specific embodiment.

[0072] See also Figure 1 As shown, the specific process of the above method includes:

[0073] S1: Create a fuel consumption analysis database, obtain the vehicle chassis number and model information of the vehicle that needs to be analyzed for fuel consumption, and store it in a static database in the fuel consumption analysis database.

[0074] Specifically, as shown in Table 1, the vehicle model information includes vehicle model configuration data, assembly model data, controller version data, specifically including vehicle type, energy type, drive form, engine model, gearbox model, rear axle speed ratio, emission standard and controller version; the controller version data mainly includes engine controller software version, engine controller hardware version, gearbox controller software version and gearbox controller hardware version.

[0075] Table 1. Example of vehicle model information data table

[0076]

[0077] S2: Collect and associate daily vehicle static information (vehicle fuel consumption mileage information, vehicle load information and driving route information) and upload it to the static database; collect and upload daily vehicle status information and pedestrian driving information to the dynamic database in the fuel consumption analysis database.

[0078] Specific:

[0079] For driving route information, the vehicle reports GPS positioning data every minute, and the longitude and latitude of the GPS positioning data are extracted according to the time series every day. The points with unchanged longitude and latitude are filtered out, and the administrative code corresponding to each longitude and latitude point is returned through road network map matching. The points with the same administrative code are then merged, and the start time and end time of the point are extracted. Then, based on the correspondence between the administrative code and the city, the city corresponding to each point is mapped out, and the cities are linked on a daily basis to finally generate the daily driving route.

[0080] For vehicle load information, filter out 0 and invalid values ​​from the load signal sent by the vehicle controller, sort the collected load values ​​according to the time series, and calculate the daily average load value.

[0081] In this embodiment, the management filing of daily driving route information, vehicle load information and vehicle fuel consumption mileage information is shown in Table 2.

[0082] Table 2. Example of daily vehicle static information

[0083]

[0084] S3: Take the week as the analysis cycle, aggregate the static information of the vehicles within the cycle, extract the vehicles of the same model, the same driving route, and the same load (weekly average load within ±3000kg), and determine the weekly fuel consumption per 100 kilometers of each vehicle (weekly fuel consumption * 100 / weekly mileage). The weekly fuel consumption per 100 kilometers with the largest number of vehicles is taken as the median fuel consumption. As shown in Table 3, the vehicle with fuel consumption of the median fuel consumption (P8019451) is used as the comparison vehicle, and the vehicles with fuel consumption of more than 3 times the standard deviation of the median fuel consumption (fuel consumption abnormal point) (P8019453 and P8019454) are used as the vehicles to be analyzed. It can be seen that the fuel consumption analysis needs to be performed on each vehicle to be analyzed, and the reference object during the analysis is the comparison vehicle. The vehicle P8019454 is selected for fuel consumption analysis below.

[0085] Table 3. Extraction of comparison vehicles and vehicles to be optimized

[0086]

[0087]

[0088] S4: Extract the vehicle status information and pedestrian driving information of P8019451 and P8019454 from the dynamic database, as shown in Table 4.

[0089] Table 4. Comparison example of dynamic fuel consumption information of a single vehicle

[0090]

[0091] S5: Perform fuel consumption analysis and visualization based on the vehicle status information and pedestrian driving information in Table 4 by calculating the average value. The visualization information is shown in Table 5.

[0092] Table 5. Visualization example of single vehicle fuel consumption comparison analysis

[0093]

[0094]

[0095] In a second aspect, an embodiment of the present application further provides a fuel consumption analysis device for a commercial vehicle, which is used to implement the steps of the method mentioned in the first aspect.

[0096] Specifically, the device includes:

[0097] A fuel consumption analysis parameter acquisition module, which is used to: execute the process of the above method to obtain the vehicle fuel consumption mileage information, vehicle status information, pedestrian driving information, vehicle load information and driving route information that need to be analyzed for fuel consumption within a specified period;

[0098] A vehicle determination module to be analyzed, which is used to: execute the process of the above method to determine a comparison vehicle with normal fuel consumption and a vehicle to be analyzed with abnormal fuel consumption according to the vehicle fuel consumption mileage information under the conditions of the same vehicle model, the same driving route, and the same load;

[0099] The fuel consumption analysis module is used to: execute the process of performing fuel consumption analysis on each vehicle to be analyzed according to the vehicle status information and pedestrian driving information of the vehicle to be analyzed and all comparison vehicles in the above method.

[0100] Among them, the functional implementation of each module in the above-mentioned fuel consumption analysis device for commercial vehicles corresponds to the various steps in the above-mentioned fuel consumption analysis method embodiment for commercial vehicles, and its functions and implementation processes are no longer repeated here.

[0101] In a third aspect, an embodiment of the present application provides a fuel consumption analysis device for a commercial vehicle. The fuel consumption analysis device for a commercial vehicle may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0102] Reference Figure 2 , Figure 2 The hardware structure diagram of the fuel consumption analysis device for commercial vehicles involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the fuel consumption analysis device for commercial vehicles may include a processor, a memory, a communication interface, and a communication bus.

[0103] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0104] The communication interface includes an input / output (I / O) interface, a physical interface, and a logical interface, etc., which are used to interconnect the components inside the fuel consumption analysis device for commercial vehicles, and an interface for interconnecting the fuel consumption analysis device for commercial vehicles with other devices (such as other computing devices or user devices). The physical interface may be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device may be a display, a keyboard, etc.

[0105] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0106] The processor may be a general-purpose processor, which may call a fuel consumption analysis program for a commercial vehicle stored in a memory and execute the fuel consumption analysis method for a commercial vehicle provided in an embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the fuel consumption analysis program for a commercial vehicle is called may refer to the various embodiments of the fuel consumption analysis method for a commercial vehicle of the present application, which will not be repeated here.

[0107] Those skilled in the art will understand that Figure 2The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0108] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0109] The computer-readable storage medium of the present application stores a fuel consumption analysis program for commercial vehicles, wherein when the fuel consumption analysis program for commercial vehicles is executed by a processor, the steps of the fuel consumption analysis method for commercial vehicles as described above are implemented.

[0110] Among them, the method implemented when the fuel consumption analysis program for commercial vehicles is executed can refer to the various embodiments of the fuel consumption analysis method for commercial vehicles in this application, and will not be repeated here.

[0111] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0112] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0113] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0114] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0115] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0116] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0117] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0118] The above are only specific implementations of the embodiments of the present invention, but the protection scope of the embodiments of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the embodiments of the present invention, and these modifications or replacements should be included in the protection scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for comparing and analyzing fuel consumption of commercial vehicles, characterized in that: The method comprises the following steps: obtaining vehicle fuel consumption mileage information, vehicle status information, pedestrian driving information, vehicle load information and driving route information; under the conditions of the same vehicle type, the same driving route and the same load, determining a comparison vehicle with normal fuel consumption and a vehicle to be analyzed with abnormal fuel consumption according to the vehicle fuel consumption mileage information; and performing fuel consumption analysis on the vehicle to be analyzed according to the vehicle status information and pedestrian driving information of the vehicle to be analyzed and the comparison vehicle.

2. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 1, characterized in that: The process of determining a comparison vehicle with normal fuel consumption based on the vehicle fuel consumption mileage information includes: obtaining a fuel consumption value with the largest number of vehicles within a specified mileage as a median fuel consumption value based on the vehicle fuel consumption mileage information, and taking all vehicles with fuel consumption of the median fuel consumption value as comparison vehicles.

3. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 2, characterized in that: The vehicle to be analyzed is a vehicle whose fuel consumption difference with the median fuel consumption is above a specified threshold.

4. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 1, characterized in that: The process of performing fuel consumption analysis on the vehicle to be analyzed based on the vehicle status information and pedestrian driving information of the vehicle to be analyzed and all comparison vehicles includes: determining standard values ​​of the vehicle status information and pedestrian driving information by calculating average values, and taking the vehicle status information and / or pedestrian driving information whose difference with the standard value is above a specified threshold as the fuel consumption analysis result.

5. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 1, characterized in that: The process of obtaining the driving route information includes: collecting GPS positioning data of the vehicle, filtering out points with unchanged longitude and latitude in the GPS positioning data, and forming a driving route according to coordinate information corresponding to the remaining points; The process of obtaining the vehicle load information includes: collecting the vehicle load data, and obtaining the vehicle load average value according to the vehicle load data.

6. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 5, characterized in that: The process of forming a driving route according to the coordinate information corresponding to the remaining points includes: obtaining the administrative codes corresponding to the remaining points according to the map information, obtaining the city corresponding to each remaining point according to the correspondence between the administrative code and the city, and splicing the corresponding city names according to the arrangement order of each remaining point to obtain the driving route; The process of obtaining the vehicle's load average value based on the vehicle's load data includes: filtering out invalid values ​​in the load data, sorting the load data according to the collection time sequence, and calculating the load average value; The process of obtaining the vehicle fuel consumption mileage information includes: obtaining the vehicle's fuel consumption data and mileage data.

7. The method for comparing and analyzing fuel consumption of a commercial vehicle according to any one of claims 1 to 6, characterized in that: The process of obtaining vehicle fuel consumption mileage information, vehicle load information and driving route information also includes: correlating the vehicle fuel consumption mileage information, vehicle load information and driving route information of the same vehicle based on time as the correlation condition; The criteria for determining the same driving route are: routes with the same starting point, end point and passing points; The criteria for determining the same load are: the load difference is within the specified weight; The method also includes the following steps: obtaining vehicle unique identification parameters and vehicle model information.

8. The method for comparing and analyzing fuel consumption of a commercial vehicle according to any one of claims 1 to 6, characterized in that: The parameters of the vehicle status information include: vehicle operation status index, engine operation status index, transmission operation status index and post-processing status index; the parameters of the pedestrian driving information include bad driving behavior information and driving operation information.

9. The method for comparing and analyzing fuel consumption of a commercial vehicle according to claim 8, characterized in that: The vehicle operation status index refers to the frequency of vehicle failures that affect fuel consumption; The engine operation status indicators include the combustion mode ratio, the torque mode ratio, the average engine water temperature, the average oil pressure and the average oil temperature; The gearbox operating status indicators include the frequency of gear shifting per 100 kilometers, the proportion of accumulated time in high gear, and the number of clutch opening and closing times; The post-treatment status indicators include urine-to-fuel ratio, NOx emission value, parking regeneration times and driving regeneration times; The bad driving behavior information includes the number of sudden accelerations and the number of high throttle times; The driving operation information includes average driving speed, economic operating time ratio, number of starts and stops per 100 kilometers, number of brakes per 100 kilometers, idling time ratio and frequency of air conditioning use.

10. A fuel consumption analysis device for commercial vehicles, characterized in that: The device is used to implement the method described in any one of claims 1 to 9.

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