Fuel consumption analysis method, terminal, and computer storage medium

Abstract

The application discloses an oil consumption analysis method, comprising the following steps: testing a first vehicle under a preset test working condition to obtain first oil consumption data, wherein the first vehicle is a vehicle to be optimized; decomposing the first oil consumption data according to an oil consumption factor to obtain second oil consumption data; and testing the first vehicle according to the second oil consumption data to obtain an oil consumption reduction scheme. The oil consumption data is decomposed by the oil consumption factor, and targeted oil consumption reduction measures can be obtained, the oil consumption analysis cost is reduced, and the user experience is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil consumption analysis, and in particular to an oil consumption analysis method, a terminal and a computer storage medium. BACKGROUND

[0002] After nearly 20 years of rapid development of China's automobile industry, the gap between Chinese brands and foreign brands in safety, power, handling stability, NVH, comfort, electrification and other aspects of passenger cars is becoming smaller and smaller. But the gap in economy is still obvious. Big data statistics found that the fuel consumption gap between Chinese brand passenger cars and foreign brand passenger cars of the same level is about 1 to 1.5 liters per 100 kilometers, but the specific gap cannot be determined, specific improvement measures cannot be developed. Under the background of national energy saving and emission reduction, traditional automobile enterprises are actively seeking ways and measures to reduce fuel consumption, bearing social responsibility and improving product competitiveness. The traditional measure to reduce fuel consumption is to simply improve the performance of the engine to reduce fuel consumption. With the development of technology in recent years, the gap between Chinese brand engines and foreign brands in engine technology and performance is becoming smaller and smaller. The thermal efficiency of some newly launched engines has exceeded that of foreign brands, but the fuel economy gap is still obvious from the perspective of the whole vehicle. The transmission is also one of the core elements that affect power and economy. In recent years, domestic transmissions, especially DCT transmissions, have developed rapidly in technology, and the performance gap is becoming smaller and smaller. The shape and weight are also one of the core elements that affect the power and economy, mainly affecting the sliding resistance of the vehicle. The above measures to reduce fuel consumption have high cost, long development cycle and poor user experience. SUMMARY

[0003] Therefore, the present application provides an oil consumption analysis method, a terminal and a computer storage medium, which can obtain targeted measures to reduce fuel consumption by decomposing fuel consumption data by fuel consumption factors, reduce fuel consumption analysis cost, and improve user experience.

[0004] In a first aspect, the present application provides an oil consumption analysis method, characterized in that it comprises:

[0005] testing a first vehicle under a preset test condition to obtain first fuel consumption data, the first vehicle being a vehicle to be optimized;

[0006] decomposing the first fuel consumption data according to fuel consumption factors to obtain second fuel consumption data;

[0007] testing the first vehicle according to the second fuel consumption data to obtain a fuel consumption reduction scheme.

[0008] Among them, the step of decomposing the first fuel consumption data according to the fuel consumption factors to obtain the second fuel consumption data comprises:

[0009] According to the oil consumption-time variation law of the first vehicle in the test, and decomposing the first oil consumption data in the composition of the oil consumption factor at the corresponding time node;

[0010] Determine the ratio of each oil consumption factor in the first oil consumption data and / or the corresponding oil consumption amount of each oil consumption factor as the second oil consumption data.

[0011] Wherein, the oil consumption factor includes at least one of air conditioning state, driving resistance, gearbox efficiency, start-stop, idle, sliding friction and operating working point, and the operating working point includes at least one of gear shifting, deceleration and fuel cut.

[0012] According to the second oil consumption data, the first vehicle is tested, including:

[0013] Determine at least one oil consumption factor in the second oil consumption data;

[0014] According to the at least one oil consumption factor, determine the corresponding oil consumption optimization measures;

[0015] According to the oil consumption optimization measures, test based on the drum test bench and / or simulation software.

[0016] Wherein, the determination of at least one oil consumption factor in the second oil consumption data further comprises:

[0017] Extract at least one oil consumption factor with oil consumption in the second oil consumption data; or,

[0018] According to the weight order of the oil consumption factor in the second oil consumption data, determine at least one oil consumption factor.

[0019] Wherein, the obtaining of the oil consumption reduction scheme comprises:

[0020] According to the test results, determine part or all of the oil consumption optimization measures as the oil consumption reduction scheme.

[0021] The method further comprises:

[0022] Test the second vehicle under the preset test working condition, and the second vehicle is a reference vehicle;

[0023] According to the oil consumption difference between the first vehicle and the second vehicle as the first oil consumption data.

[0024] Wherein, the preset test working condition is WLTC standard working condition.

[0025] In a second aspect, the present application also provides a terminal, comprising at least one processor; and at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor, which when executed by the at least one processor, causes the terminal to perform the steps of the fuel consumption analysis method according to the first aspect.

[0026] In a third aspect, the present application also provides a computer storage medium, having computer program instructions stored thereon; the computer program instructions are executed by a processor to implement the steps of the fuel consumption analysis method according to the first aspect.

[0027] In summary, the present application provides a fuel consumption analysis method, comprising: testing a first vehicle under a preset test condition to obtain first fuel consumption data, the first vehicle being a to-be-optimized vehicle; decomposing the first fuel consumption data according to fuel consumption factors to obtain second fuel consumption data; and testing the first vehicle according to the second fuel consumption data to obtain a fuel consumption reduction scheme. The present application can obtain targeted fuel consumption reduction measures by decomposing fuel consumption data according to fuel consumption factors, reduce fuel consumption analysis cost, and improve user experience.

[0028] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application and to implement the same according to the content of the specification, and in order to make the above and other purposes, features and advantages of the present application more apparent and easy to understand, the following preferred embodiments are described in detail, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 FIG. 1 is a flowchart of a fuel consumption analysis method according to an embodiment of the present application;

[0030] Figure 2 FIG. 2 is a specific flowchart of the fuel consumption analysis method according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined purposes, the present application is described in detail below in combination with the drawings and preferred embodiments.

[0032] Figure 1 FIG. 1 is a flowchart of a fuel consumption analysis method according to an embodiment of the present application. As shown in FIG. 1, the present application provides a fuel consumption analysis method, comprising: Figure 1

[0033] Step 201: testing a first vehicle under a preset test condition to obtain first fuel consumption data, the first vehicle being a to-be-optimized vehicle;

[0034] ​Step 202: decompose the first fuel consumption data according to the fuel consumption factor to obtain second fuel consumption data;

[0035] Step 203: test the first vehicle according to the second fuel consumption data to obtain a fuel consumption reduction scheme.

[0036] The integrated matching is the weakness of the current Chinese brand automobile, and from the development of the technology of the parts, the technology gap is smaller and smaller, and even the Chinese brand chooses the products of the international first-class suppliers, but the fuel consumption gap of the whole vehicle is still obvious, and the current short board is that the specific gap reason cannot be determined, and the specific improvement measures cannot be formulated to improve. Therefore, the present application solves the problem from the perspective of integration, finds the optimization improvement point by comparison test and simulation calculation, finds out the gap, and thus formulates effective improvement measures to improve the technical level of the integrated matching of the whole power assembly. The present application obtains the total fuel consumption of the vehicle to be optimized under the preset test condition from the perspective of integrated matching, decomposes the total fuel consumption according to the fuel consumption factor to obtain the proportion of the influence of different fuel consumption factors on the fuel consumption, and then formulates corresponding fuel consumption optimization measures for different fuel consumption factors to realize the reduction of the fuel consumption of the whole vehicle. The fuel consumption factors include air conditioning state, driving resistance, gearbox efficiency, start-stop, idle speed, sliding friction, operating condition point, etc., and the operating condition point includes shift, deceleration, fuel cut, etc.

[0037] It should be noted that the preset test condition is the WLTC standard condition. WLTC is the full name of "Worldwide Harmonized Light Vehicles Test Cycle". WLTC standard divides vehicles into three categories according to the power / weight ratio (PWr, rated engine power / kerb mass): low-power vehicles with PWr≤22, medium-power vehicles with 22

[0038] In an embodiment, the first fuel consumption data is decomposed according to the fuel consumption factor to obtain second fuel consumption data, comprising:

[0039] According to the oil consumption-time change rule of the first vehicle in the test, and the composition decomposition of the oil consumption factor at the corresponding time node, the first oil consumption data is decomposed;

[0040] The ratio of each oil consumption factor in the first oil consumption data and / or the oil consumption amount corresponding to each oil consumption factor is determined as the second oil consumption data.

[0041] It should be noted that the present application is based on the oil consumption change rule of the first vehicle along the time axis during the test, and the composition of the oil consumption change node corresponding to the oil consumption factor. Different oil consumption factors correspond to different analysis methods. Please refer to Table 1, which is an oil consumption factor and an analysis method.

[0042] Table 1 Oil consumption factor and analysis method

[0043]

[0044]

[0045] The ratio of each oil consumption factor in the first oil consumption data (i.e. total oil consumption) is determined as the second oil consumption data. The ratio of the oil consumption factor in the first oil consumption data or the oil consumption amount corresponding to the oil consumption factor can be used as the ratio of the oil consumption factor in the first oil consumption data.

[0046] In an embodiment, the first vehicle is tested according to the second oil consumption data, comprising:

[0047] Determining at least one oil consumption factor in the second oil consumption data;

[0048] According to at least one oil consumption factor, the corresponding oil consumption optimization measure is determined;

[0049] According to the oil consumption optimization measure, the test is carried out based on the rotating drum test bench and / or simulation software.

[0050] It should be noted that the rotating drum test bench is an important indoor bench test device in the development process of automobile products. Through the rotating drum test bench, not only the power performance of the automobile can be detected, but also the multi-working-condition emission indicators and oil consumption can be measured. The rotating drum test device is composed of a loading device, a measuring device, a rotating drum assembly, a wheel lifting device, a cooling device, a restraint device and a pit cover plate.

[0051] In an embodiment, determining at least one oil consumption factor in the second oil consumption data further comprises:

[0052] Extracting at least one oil consumption factor with oil consumption in the second oil consumption data; or,

[0053] According to the weight order of the oil consumption factor in the second oil consumption data, at least one oil consumption factor is determined.

[0054] In an embodiment, the fuel consumption reduction scheme is obtained, comprising:

[0055] According to the test results, some or all of the fuel consumption optimization measures are determined as the fuel consumption reduction scheme.

[0056] It should be noted that after determining the fuel consumption proportion of the fuel consumption factor affecting fuel consumption, corresponding fuel consumption optimization measures can be formulated for different fuel consumption factors, and all or part of the fuel consumption optimization measures are comprehensively considered as the fuel consumption reduction scheme to achieve better fuel saving effect. According to the weight order of the fuel consumption proportion of the fuel consumption factor, the fuel consumption optimization measures can be preferentially formulated for the fuel consumption factor with greater impact on fuel consumption, and the fuel consumption factor with less impact on fuel consumption can be ignored to reduce the complexity of the fuel consumption reduction scheme.

[0057] In an embodiment, the fuel consumption analysis method further comprises:

[0058] The second vehicle is tested under the preset test condition, and the second vehicle is a reference vehicle;

[0059] The fuel consumption difference between the first vehicle and the second vehicle is taken as the first fuel consumption data.

[0060] Figure 2 The specific flowchart of the fuel consumption analysis method according to the embodiment of the present application is shown. As shown in Figure 2As shown, vehicle type 1 is a first vehicle, and vehicle type 2 is a second vehicle. First, vehicle type 1 is determined as a to-be-optimized vehicle, and vehicle type 2 is determined as a reference vehicle. The reference vehicle can be a competitive vehicle, or a vehicle with a high user evaluation and energy saving. By analyzing the fuel consumption difference between the first vehicle and the second vehicle, the difference is used to improve the first vehicle, so as to standardize the fuel consumption optimization target and quickly reach the user's expectation value. Then, the comparative test regulation working condition is determined, for example, the WLTC standard working condition. The first vehicle and the second vehicle are tested under the standard working condition, and the test results are processed and analyzed to determine the fuel consumption gap between the first vehicle and the first vehicle. Then, the fuel consumption gap is decomposed according to the fuel consumption factor. According to the difference decomposition result, the fuel consumption proportion corresponding to different fuel consumption factors is obtained. According to the fuel consumption factor, specific improvement measures are determined, and real vehicle tests are carried out on the first vehicle based on the improvement measures to confirm the fuel consumption analysis result and reduce the fuel consumption of the first vehicle. Table 2 is the fuel consumption difference and its influence proportion of the first vehicle and the second vehicle. Please refer to Table 2, the total fuel consumption difference between the first vehicle and the second vehicle is 1.5L / 100km. Among them, the fuel consumption of the driving resistance is 0.54L / 100km, accounting for 22.7%; the fuel consumption of the gearbox efficiency is 0.15L / 100km, accounting for 10.0%; the fuel consumption of the start-stop is 0.12L / 100km, accounting for 8.0%; the fuel consumption of the idling is 0.05L / 100km, accounting for 5.5%; the fuel consumption of the air conditioner is 0.5L / 100km, accounting for 55.5%; the fuel consumption of the running working condition point is 0.2L / 100km, accounting for 15.5%; and the fuel consumption of the sliding friction is 0.14L / 100km, accounting for 9.5%.

[0061] Table 2 fuel consumption difference and its influence proportion of the first vehicle and the second vehicle

[0062]

[0063] In summary, the present application decomposes the fuel consumption by standard working condition test, and improves the whole integrated technology by point-to-point analysis and improvement through the combination of comparative test and software analysis. The present application has low cost, short cycle and easy implementation. In the case of not changing the existing design, the present application can be quickly implemented through re-integration and matching, and the effect is remarkable. Through the present method, the fuel consumption of the whole vehicle can be reduced by 0.8-1L / 100km without increasing the cost.

[0064] The fuel consumption analysis method of the embodiment of the present application can obtain the first fuel consumption data by testing the first vehicle under the preset test condition, the first vehicle being the vehicle to be optimized, can obtain the second fuel consumption data by decomposing the first fuel consumption data according to the fuel consumption factor, and can obtain the fuel consumption reduction scheme by testing the first vehicle according to the second fuel consumption data. The fuel consumption factor is used to decompose the fuel consumption data, so that the fuel consumption reduction measures can be obtained, the fuel consumption analysis cost can be reduced, and the user experience can be improved.

[0065] The embodiment of the present application also provides a terminal, comprising at least one processor, and at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor, the instructions, when executed by the at least one processor, causing the terminal to perform the steps of the fuel consumption analysis method as described above.

[0066] The embodiment of the present application also provides a computer storage medium, the computer storage medium storing computer program instructions; the computer program instructions are executed by the processor to implement the steps of the fuel consumption analysis method as described above.

[0067] The embodiment of the present application performs the specific process of the above method steps, and the details are described in the related description of the above embodiment, which will not be repeated here.

[0068] The technical features of the above embodiments can be combined arbitrarily, and in order to make the description concise, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope disclosed in the present application.

[0069] In this paper, the term "including", "containing" or any other variant thereof is intended to cover non-exclusive containing, in addition to containing the listed elements, but also containing other elements not explicitly listed.

[0070] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A fuel consumption analysis method characterized by, The method comprises: testing a first vehicle under a preset test condition to obtain first fuel consumption data, the first vehicle being a vehicle to be optimized; decomposing the first fuel consumption data according to fuel consumption factors to obtain second fuel consumption data; testing the first vehicle according to the second fuel consumption data to obtain a fuel consumption reduction scheme; the fuel consumption factors include at least one of air conditioner state, driving resistance, transmission efficiency, start-stop, idle speed, sliding friction, and operating condition point, the operating condition point including at least one of gear shifting, deceleration, and fuel cut-off; testing a second vehicle under a preset test condition, the second vehicle being a reference vehicle; taking a fuel consumption difference between the first vehicle and the second vehicle as the first fuel consumption data; the decomposing the first fuel consumption data according to fuel consumption factors to obtain second fuel consumption data comprises: decomposing the first fuel consumption data according to a fuel consumption-time variation law of the first vehicle in the test and the composition of the fuel consumption factors at corresponding time nodes; determining a ratio of each fuel consumption factor in the first fuel consumption data and / or a fuel consumption amount corresponding to each fuel consumption factor as the second fuel consumption data.

2. The oil consumption analysis method according to claim 1, characterized by, the testing the first vehicle according to the second fuel consumption data comprises: determining at least one fuel consumption factor in the second fuel consumption data; determining a corresponding fuel consumption optimization measure according to the at least one fuel consumption factor; testing the fuel consumption optimization measure based on a dynamometer test bench and / or simulation software.

3. The oil consumption analysis method according to claim 2, characterized by, the determining at least one fuel consumption factor in the second fuel consumption data further comprises: extracting at least one fuel consumption factor with fuel consumption in the second fuel consumption data; or determining at least one fuel consumption factor according to a weight order of the fuel consumption factors in the second fuel consumption data.

4. The oil consumption analysis method according to claim 2, characterized by, the obtaining a fuel consumption reduction scheme comprises: determining part or all of the fuel consumption optimization measures as the fuel consumption reduction scheme according to the test results.

5. The oil consumption analysis method according to claim 1, characterized by, the preset test condition is a WLTC standard condition.

6. A terminal, characterized by comprising: comprises at least one processor; and at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor, which, when executed by the at least one processor, cause the terminal to perform the steps of the fuel consumption analysis method according to any one of claims 1 to 5.

7. A computer storage medium, characterized in that The computer storage medium stores computer program instructions; the computer program instructions are executed by a processor to implement the steps of the fuel consumption analysis method according to any one of claims 1 to 5.

Images