Lightweight evaluation method for truck and storage medium

Abstract

The invention discloses a truck-oriented lightweight evaluation method and a storage medium. The truck-oriented lightweight evaluation method comprises the following steps: determining a load mass utilization coefficient, volume density, gravimetric specific power and fuel consumption per unit weight of a truck; determining lightweight evaluation parameters of the truck according to the load mass utilization coefficient, the volume density, the weight ratio power and the fuel consumption per unit weight; the lightweight evaluation parameter is the product of the reciprocal of the load mass utilization coefficient, the volume density, the weight ratio power and the oil consumption per unit weight; according to the lightweight evaluation parameters, the lightweight technical level of the truck is evaluated, the volume, the fuel consumption per hundred kilometers and the rated power of the truck can be incorporated into the lightweight evaluation method, so that the whole truck lightweight level of the truck is reasonably and accurately evaluated, and the method has important significance in guiding the design of the truck and has wide application prospects. The method can be applied to evaluation ranking of the whole vehicle light weight level in the industry and development trend prediction of the vehicle model light weight level.

Description

Technical Field

[0001] The present invention relates to the field of vehicles, and particularly to a lightweight evaluation method and a storage medium for a truck. Background Art

[0002] The lightweight of a truck has a positive significance for energy conservation, emission reduction and performance improvement of the truck. A reasonable and accurate evaluation of the lightweight level of a whole truck is of great significance for guiding vehicle design, formulating relevant regulations and issuing national encouragement policies. However, at present, the lightweight level of a truck is measured by the load mass utilization coefficient, lacking the research on the influence of parameters such as volume, fuel consumption and power on the lightweight level, and there is no perfect evaluation method for the whole vehicle lightweight. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the present invention aims to provide a lightweight evaluation method and a storage medium for a truck.

[0004] A lightweight evaluation method for a truck provided by the present invention includes: determining the load mass utilization coefficient, volume density, weight specific power and fuel consumption per unit weight of the truck; determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power and the fuel consumption per unit weight; and evaluating the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameter. Wherein, the lightweight evaluation parameter is the product of the reciprocal of the load mass utilization coefficient, the volume density, the weight specific power and the fuel consumption per unit weight.

[0005] In addition, the lightweight evaluation method for a truck according to an embodiment of the present invention may further have the following additional technical features:

[0006] Further, determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power and the fuel consumption per unit weight includes:

[0007]

[0008]

[0009]

[0010]

[0011]

[0012] Wherein, K is the lightweight evaluation parameter, M is the load mass utilization coefficient, V1 is the volume density, P1 is the weight specific power, Q1 is the fuel consumption per unit weight, M2 is the load mass of the truck, M1 is the curb weight of the truck, V is the nominal volume of the truck, P is the rated power of the engine, and Q is the fuel consumption per 100 kilometers of the truck.

[0013] Further, after determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power, and the fuel consumption per unit weight, it further includes: determining the gross mass and the chassis mass of the second category of the truck;

[0014] Taking the chassis mass of the second category as the curb weight of the truck; taking the difference between the gross mass and the chassis mass of the second category of the truck as the load mass of the truck to optimize the load mass utilization coefficient.

[0015] Further, after optimizing the load mass utilization coefficient, it further includes: selecting a preset number of vehicle model data; using the vehicle model data to optimize the volume density, the weight specific power, and the fuel consumption per unit weight according to multiple different preset functions.

[0016] Further, using the vehicle model data to optimize the volume density, the weight specific power, and the fuel consumption per unit weight according to multiple different preset functions includes: calculating multiple different first coefficient of variation corresponding to the volume density, multiple different second coefficient of variation corresponding to the weight specific power, and multiple different third coefficient of variation corresponding to the fuel consumption per unit weight of the vehicle model data under different preset functions; taking the preset function corresponding to the minimum coefficient of variation among the multiple different first coefficient of variation as the optimized volume density calculation function, taking the preset function corresponding to the minimum coefficient of variation among the multiple different second coefficient of variation as the optimized weight specific power calculation function, and taking the preset function corresponding to the minimum coefficient of variation among the multiple different third coefficient of variation as the optimized fuel consumption per unit weight calculation function.

[0017] Further, calculating multiple different first coefficient of variation corresponding to the volume density of the vehicle model data under different preset functions includes: calculating the first average value and the first standard deviation corresponding to the volume density of the vehicle model data under different preset functions, and taking the ratio of the first standard deviation to the first average value as the first coefficient of variation.

[0018] Further, calculating a plurality of different second coefficient of variation corresponding to the weight-to-power ratio of the vehicle model data under different preset functions includes: calculating a second average value and a second standard deviation corresponding to the weight-to-power ratio of the vehicle model data under different preset functions, and taking the ratio of the second standard deviation to the second average value as the second coefficient of variation.

[0019] Further, calculating a plurality of different third coefficient of variation corresponding to the fuel consumption per unit weight of the vehicle model data under different preset functions includes: calculating a third average value and a third standard deviation corresponding to the fuel consumption per unit weight of the vehicle model data under different preset functions, and taking the ratio of the third standard deviation to the third average value as the third coefficient of variation.

[0020] Further, the preset functions include: taking the square root and the natural logarithm of the nominal volume of the truck, the rated power of the engine, and the fuel consumption per 100 kilometers.

[0021] According to the lightweight evaluation method for trucks of the embodiments of the present invention, by determining the load mass utilization coefficient, volume density, weight-to-power ratio, and fuel consumption per unit weight of the truck, and determining the lightweight evaluation parameters of the truck according to the load mass utilization coefficient, volume density, weight-to-power ratio, and fuel consumption per unit weight, so as to evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameters. Among them, the lightweight evaluation parameters are the reciprocal of the load mass utilization coefficient, the volume density, the product of the weight-to-power ratio and the fuel consumption per unit weight. It is possible to start from evaluating the comprehensive performance of the truck product, determine the lightweight evaluation parameters of the truck based on the load mass utilization coefficient, volume density, weight-to-power ratio, and fuel consumption per unit weight, incorporate the volume, fuel consumption per 100 kilometers, and rated power of the truck into the lightweight evaluation method, thereby reasonably and accurately judging the overall vehicle lightweight level of the truck, which is of great significance for guiding the design of trucks and can be applied to the evaluation ranking of the overall vehicle lightweight level in the industry and the prediction of the development trend of the vehicle model lightweight level.

[0022] Aiming at the above problems, the present invention also proposes a computer storage medium, on which a lightweight evaluation program for trucks is stored. When the lightweight evaluation program for trucks is executed by a processor, it implements the lightweight evaluation method for trucks as described in any of the above embodiments.

[0023] A computer-readable storage medium according to an embodiment of the present invention, when the lightweight evaluation for a truck stored thereon is executed by a processor, determines the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight of the truck, and determines the lightweight evaluation parameters of the truck according to the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight, so as to evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameters. Among them, the lightweight evaluation parameters are the product of the reciprocal of the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight. It is possible to determine the lightweight evaluation parameters of the truck based on the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight starting from evaluating the comprehensive performance of the truck product, incorporate the volume, fuel consumption per 100 kilometers, and rated power of the truck into the lightweight evaluation method, thereby reasonably and accurately judging the overall vehicle lightweight level of the truck, which is of great significance for guiding the design of the truck and can be applied to the evaluation ranking of the overall vehicle lightweight level in the industry and the prediction of the development trend of the lightweight level of vehicle models.

[0024] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 is a flowchart of a lightweight evaluation method for a truck according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] Embodiments of the present invention will be described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. Embodiments of the present invention will be described in detail below.

[0028] Reference will be made below Figure 1 to describe a lightweight evaluation method and a storage medium for a truck according to an embodiment of the present invention.

[0029] Figure 1 is a flowchart of a lightweight evaluation method for a truck according to an embodiment of the present invention. As Figure 1 shown, a lightweight evaluation method for a truck includes the following steps:

[0030] Step S1: Determine the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight of the truck.

[0031] Specifically, the load mass utilization coefficient is the ratio between the load mass of a truck and its curb mass; the volume density is the ratio between the curb mass of a truck and its nominal volume; the weight-specific power is the ratio between the curb mass of a truck and the rated power of its engine; and the fuel consumption per unit weight is the ratio between the fuel consumption per 100 kilometers of a truck and its curb mass.

[0032] In a specific embodiment, the load mass, curb mass, nominal volume, and fuel consumption per 100 kilometers of a truck can all be obtained from the announcement. The nominal volume of a truck can be calculated from the vehicle length, vehicle width, and vehicle height of the truck. Specifically, the nominal volume V of the truck = L × B × (H - G), where L is the vehicle length of the truck, B is the vehicle width of the truck, H is the vehicle height of the truck, and G is the minimum ground clearance of the truck in the fully loaded state.

[0033] Step S2: Determine the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight. Among them, the lightweight evaluation parameter is the product of the reciprocal of the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight.

[0034] Specifically, the embodiments of the present invention start from evaluating the comprehensive performance of truck products, determine the lightweight evaluation parameter of the truck based on the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight, and incorporate the volume, fuel consumption per 100 kilometers, and rated power of the truck into the lightweight evaluation method, which can reasonably and accurately evaluate the overall vehicle lightweight level of the truck and is of great significance for guiding the design of trucks. Specifically, the product of the reciprocal of the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight is used as the lightweight evaluation parameter.

[0035] Step S3: Evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameter.

[0036] Specifically, the lightweight evaluation parameter of the embodiments of the present invention can be used as the lightweight target for the lightweight engineering development of automobile enterprises, and can be applied to the evaluation ranking of the overall vehicle lightweight level in the industry and the prediction of the development trend of the lightweight level of vehicle models.

[0037] In an embodiment of the present invention, determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight includes:

[0038]

[0039]

[0040]

[0041]

[0042]

[0043] Among them, K is the lightweight evaluation parameter, M is the load mass utilization coefficient, V1 is the volume density, P1 is the weight-specific power, Q1 is the fuel consumption per unit weight, M2 is the load mass of the truck, M1 is the curb weight of the truck, V is the nominal volume of the truck, P is the rated power of the engine, and Q is the fuel consumption per 100 kilometers of the truck.

[0044] Specifically, the curb weight M1 and the nominal volume V of the truck are both unique attributes of the truck itself. The load mass M2, the fuel consumption per 100 kilometers Q, and the rated power P of the engine of the truck are all performance attributes of the truck itself. The embodiments of the present invention analyze the influence of the above parameters on the lightweight level of the whole vehicle, and build an inverse ratio of the load mass utilization coefficient Volume density Weight-specific power Fuel consumption per unit weight The lightweight evaluation parameter is composed of four parts, that is, the product of the inverse ratio of the load mass utilization coefficient, the volume density, the weight-specific power, and the fuel consumption per unit weight is used as the lightweight evaluation parameter of the truck, so that the lightweight evaluation parameter can comprehensively consider the volume, the fuel consumption per 100 kilometers, and the rated power of the truck, thereby reasonably and accurately evaluating the lightweight level of the whole vehicle of the truck. It can be understood that the smaller the lightweight evaluation parameter, the higher the lightweight technology level of the truck.

[0045] In an embodiment of the present invention, after determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight-specific power, and the fuel consumption per unit weight, it further includes: determining the total mass and the mass of the second-class chassis of the truck; using the mass of the second-class chassis as the curb weight of the truck; using the difference between the total mass and the mass of the second-class chassis of the truck as the load mass of the truck to optimize the load mass utilization coefficient.

[0046] Specifically, the truck includes a cargo box form and a flatbed form. Considering that the cargo box masses of the cargo box form and the flatbed form of the truck with the same tonnage vary greatly, resulting in a large difference in the curb weight and the load mass of the truck, and they cannot be compared as the same category. The embodiments of the present invention use the mass of the second-class chassis to replace the curb weight of the truck, and determine the load mass of the truck according to the total mass and the mass of the second-class chassis of the truck, that is, optimize the load mass utilization coefficient according to the total mass and the mass of the second-class chassis of the truck. Thus, when evaluating the lightweight technology level of the truck, the cargo box form and the flatbed form can be unified, and the lightweight technology level of the truck can be evaluated using the same lightweight evaluation parameter, so as to simplify the evaluation method.

[0047] In a specific embodiment, the mass of the second-class chassis is, for example, M a , and the total mass of the truck is, for example, M b , then the optimized coefficient of utilization of payload mass is Therefore, the coefficient of utilization of payload mass is determined based on the mass of the second-class chassis and the total mass of the truck, so as to unify the cargo box form and the flat form and simplify the evaluation method.

[0048] In an embodiment of the present invention, after optimizing the coefficient of utilization of payload mass according to the total mass of the truck and the mass of the second-class chassis, it further includes: selecting a preset number of vehicle type data; using this vehicle type data, optimizing the volume density, weight-specific power, and fuel consumption per unit weight according to a plurality of different preset functions.

[0049] Specifically, after optimizing the coefficient of utilization of payload mass according to the total mass of the truck and the mass of the second-class chassis, in order to make the discreteness of the volume density, weight-specific power, and fuel consumption per unit weight of the whole vehicle smaller, and make the lightweight evaluation parameters obtained according to the coefficient of utilization of payload mass, volume density, weight-specific power, and fuel consumption per unit weight stable at the same order of magnitude, so as to facilitate comparing the lightweight technology levels of different vehicle types, the embodiment of the present invention selects a preset number of vehicle type data, and uses this vehicle type data to optimize the volume density, weight-specific power, and fuel consumption per unit weight according to a plurality of different preset functions.

[0050] In an embodiment of the present invention, using the vehicle type data to optimize the volume density, weight-specific power, and fuel consumption per unit weight according to a plurality of different preset functions includes: calculating a plurality of different first coefficient of variation corresponding to the volume density, a plurality of different second coefficient of variation corresponding to the weight-specific power, and a plurality of different third coefficient of variation corresponding to the fuel consumption per unit weight under different preset functions; taking the preset function corresponding to the minimum coefficient of variation among the plurality of different first coefficient of variation as the optimized volume density calculation function, taking the preset function corresponding to the minimum coefficient of variation among the plurality of different second coefficient of variation as the optimized weight-specific power calculation function, and taking the preset function corresponding to the minimum coefficient of variation among the plurality of different third coefficient of variation as the optimized fuel consumption per unit weight calculation function.

[0051] Specifically, as described above, after optimizing the coefficient of utilization of payload mass according to the total mass of the truck and the mass of the second-class chassis, the curb weight of the truck becomes the mass M of the second-class chassis a , then the volume density, weight-specific power, and fuel consumption per unit weight before optimization are respectively The preset functions include, but are not limited to, taking the square root and natural logarithm of the nominal volume V of the truck, the rated power P of the engine, and the fuel consumption Q per 100 kilometers. Specifically, the volume density The corresponding preset functions include, but are not limited to Specific power The corresponding preset functions include, but are not limited to Fuel consumption per unit weight The corresponding preset functions include, but are not limited to Thereby, calculate the first coefficient of variation of the vehicle model data under multiple preset functions corresponding to the volume density That is, multiple different first coefficients of variation corresponding to the volume density, and calculate the second coefficient of variation of the vehicle model data under multiple preset functions corresponding to the specific power That is, multiple different second coefficients of variation corresponding to the specific power, and calculate the third coefficient of variation of the vehicle model data under multiple preset functions corresponding to the fuel consumption per unit weight That is, multiple different third coefficients of variation corresponding to the fuel consumption per unit weight.

[0052] Furthermore, according to the principle that the smaller the coefficient of variation, the smaller the degree of dispersion, after calculating multiple different first coefficients of variation, multiple different second coefficients of variation, and multiple different third coefficients of variation, take the preset function corresponding to the minimum coefficient of variation among the multiple different first coefficients of variation as the optimized volume density calculation function, take the preset function corresponding to the minimum coefficient of variation among the multiple different second coefficients of variation as the optimized specific power calculation function, and take the preset function corresponding to the minimum coefficient of variation among the multiple different third coefficients of variation as the optimized fuel consumption per unit weight calculation function. Thus, the dispersion of the volume density, specific power, and fuel consumption per unit weight of the optimized vehicle is smaller, which is convenient for comparing the lightweight technology levels of different vehicle models.

[0053] In an embodiment of the present invention, calculating multiple different first coefficients of variation corresponding to the volume density of the vehicle model data under different preset functions includes: calculating the first average value and the first standard deviation corresponding to the volume density of the vehicle model data under different preset functions, and taking the ratio of the first standard deviation to the first average value as the first coefficient of variation.

[0054] In a specific embodiment, the preset number of vehicle model data (for example, 16) is shown in Table 1. The trucks include two types: cargo box trucks and flatbed trucks. Then, when calculating multiple different first coefficients of variation corresponding to the volume density, calculate the volume density of the 16 vehicle model data respectively Corresponding preset functions the first average value and the first standard deviation under [condition], and taking the ratio of the first standard deviation to the first average value as the first coefficient of variation. The specific calculation results are shown in Table 2. As can be seen from Table 2, when the preset function is the corresponding first coefficient of variation is the smallest, then is used as the volume density calculation function of the optimized vehicle.

[0055]

[0056]

[0057] Table 1

[0058]

[0059] Table 2

[0060] In an embodiment of the present invention, calculating a plurality of different second coefficients of variation corresponding to the weight-to-power ratio of vehicle model data under different preset functions includes: calculating the second average value and the second standard deviation corresponding to the weight-to-power ratio of vehicle model data under different preset functions, and taking the ratio of the second standard deviation to the second average value as the second coefficient of variation.

[0061] In a specific embodiment, the preset number of vehicle model data (for example, 16) is shown in Table 1. The truck includes two types: cargo box and flatbed. Then, when calculating a plurality of different second coefficients of variation corresponding to the weight-to-power ratio, calculate the second average value and the second standard deviation of the 16 vehicle model data corresponding to the weight-to-power ratio under the corresponding preset function and taking the ratio of the second standard deviation to the second average value as the second coefficient of variation. The specific calculation results are shown in Table 3. As can be seen from Table 3, when the preset function is the corresponding second coefficient of variation is the smallest, then is used as the optimized weight-to-power ratio calculation function.

[0062]

[0063] Table 3

[0064] In an embodiment of the present invention, calculating a plurality of different third coefficients of variation corresponding to the fuel consumption per unit weight of vehicle model data under different preset functions includes: calculating the third average value and the third standard deviation corresponding to the fuel consumption per unit weight of vehicle model data under different preset functions, and taking the ratio of the third standard deviation to the third average value as the third coefficient of variation.

[0065] In a specific embodiment, the preset number of vehicle model data (e.g., 16) is shown in Table 1. The truck includes two types: cargo box and flatbed. When calculating multiple different third coefficient of variation corresponding to the fuel consumption per unit weight, the third average value and the third standard deviation of the 16 vehicle model data under the fuel consumption per unit weight corresponding preset function are calculated respectively, and the ratio of the third standard deviation to the third average value is used as the third coefficient of variation. The specific calculation results are shown in Table 4. It can be seen from Table 4 that when the preset function is , the corresponding third coefficient of variation is the smallest, so is used as the optimized fuel consumption per unit weight calculation function.

[0066]

[0067] Table 4

[0068] Thus, according to the optimized load mass utilization coefficient, volume density, weight-to-power ratio, and fuel consumption per unit weight, the final lightweight evaluation parameter can be obtained: where L IV is the optimized lightweight evaluation parameter, M a is the mass of the second-class chassis, M b is the total mass of the truck, V is the nominal volume of the truck, P is the rated power of the engine, and Q is the fuel consumption per 100 kilometers of the truck. Further, since the mass of the cargo box accounts for a relatively large proportion in the total mass of the vehicle, when the mass of the cargo box can be obtained, a lightweight evaluation parameter with the mass of the cargo box is established. At this time, L IV can be further deformed as: L V is the lightweight evaluation parameter with the mass of the cargo box, M a is the mass of the second-class chassis, M b is the total mass of the truck, M c is the mass of the cargo box of the truck, V is the nominal volume of the truck, P is the rated power of the engine, and Q is the fuel consumption per 100 kilometers of the truck.

[0069] It should be noted that due to the differences in the product positioning of trucks with different tonnages, it is recommended to compare the lightweight technology levels among vehicle models with similar sizes and product positioning.

[0070] The lightweight evaluation method for a truck according to an embodiment of the present invention determines the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight of the truck, and determines the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight, so as to evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameter. Among them, the lightweight evaluation parameter is the product of the reciprocal of the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight. It is possible to determine the lightweight evaluation parameter of the truck based on the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight starting from evaluating the comprehensive performance of the truck product, incorporate the volume, fuel consumption per 100 kilometers, and rated power of the truck into the lightweight evaluation method, thereby reasonably and accurately judging the overall vehicle lightweight level of the truck, which is of great significance for guiding the design of the truck and can be applied to the evaluation ranking of the overall vehicle lightweight level in the industry and the prediction of the development trend of the lightweight level of vehicle models.

[0071] A further embodiment of the present invention also discloses a computer storage medium, on which a lightweight evaluation program for a truck is stored. When the lightweight evaluation program for a truck is executed by a processor, it implements the lightweight evaluation method for a truck as described in any of the above embodiments.

[0072] When the lightweight evaluation for a truck stored on the computer-readable storage medium according to an embodiment of the present invention is executed by a processor, it determines the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight of the truck, and determines the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight, so as to evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameter. Among them, the lightweight evaluation parameter is the product of the reciprocal of the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight. It is possible to determine the lightweight evaluation parameter of the truck based on the load mass utilization coefficient, volume density, weight-specific power, and fuel consumption per unit weight starting from evaluating the comprehensive performance of the truck product, incorporate the volume, fuel consumption per 100 kilometers, and rated power of the truck into the lightweight evaluation method, thereby reasonably and accurately judging the overall vehicle lightweight level of the truck, which is of great significance for guiding the design of the truck and can be applied to the evaluation ranking of the overall vehicle lightweight level in the industry and the prediction of the development trend of the lightweight level of vehicle models.

[0073] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example.

[0074] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the claims and their equivalents.

Claims

1. A lightweight evaluation method for a truck, characterized in that, The method includes: Determine the load mass utilization coefficient, volume density, weight specific power, and fuel consumption per unit weight of the truck; Determine the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power, and the fuel consumption per unit weight; wherein, the lightweight evaluation parameter is the reciprocal of the load mass utilization coefficient, the product of the volume density, the weight specific power, and the fuel consumption per unit weight; Evaluate the lightweight technology level of the truck according to the magnitude of the lightweight evaluation parameter.

2. The lightweight evaluation method for a truck according to claim 1, characterized in that, Determine the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power, and the fuel consumption per unit weight, including: Wherein, K is the lightweight evaluation parameter, M is the load mass utilization coefficient, V1 is the volume density, P1 is the weight specific power, Q1 is the fuel consumption per unit weight, M2 is the load mass of the truck, M1 is the curb weight of the truck, V is the nominal volume of the truck, P is the rated power of the engine, and Q is the fuel consumption per 100 kilometers of the truck.

3. The lightweight evaluation method for a truck according to claim 2, characterized in that, After determining the lightweight evaluation parameter of the truck according to the load mass utilization coefficient, the volume density, the weight specific power, and the fuel consumption per unit weight, it further includes: Determine the gross mass and the chassis mass of the second category of the truck; Take the chassis mass of the second category as the curb weight of the truck; Take the difference between the gross mass and the chassis mass of the second category of the truck as the load mass of the truck to optimize the load mass utilization coefficient.

4. The lightweight evaluation method for a truck according to claim 3, characterized in that, After optimizing the load mass utilization coefficient, it further includes: Select a preset number of vehicle type data; Use the vehicle type data to optimize the volume density, the weight specific power, and the fuel consumption per unit weight according to multiple different preset functions.

5. The lightweight evaluation method for a truck according to claim 4, characterized in that, Use the vehicle type data to optimize the volume density, the weight specific power, and the fuel consumption per unit weight according to multiple different preset functions, including: Calculate multiple different first coefficient of variation corresponding to the volume density, multiple different second coefficient of variation corresponding to the weight specific power, and multiple different third coefficient of variation corresponding to the fuel consumption per unit weight of the vehicle type data under different preset functions; Take the preset function corresponding to the minimum coefficient of variation among the multiple different first coefficient of variation as the optimized volume density calculation function, take the preset function corresponding to the minimum coefficient of variation among the multiple different second coefficient of variation as the optimized weight specific power calculation function, and take the preset function corresponding to the minimum coefficient of variation among the multiple different third coefficient of variation as the optimized fuel consumption per unit weight calculation function.

6. The lightweight evaluation method for a truck according to claim 5, characterized in that, Calculate multiple different first coefficient of variation corresponding to the volume density of the vehicle type data under different preset functions, including: Calculate the first average value and the first standard deviation corresponding to the volume density of the vehicle model data under different preset functions, and use the ratio of the first standard deviation to the first average value as the first coefficient of variation.

7. The lightweight evaluation method for a truck according to claim 5, characterized in that, Calculate multiple different second coefficients of variation corresponding to the weight-to-power ratio of the vehicle model data under different preset functions, including: Calculate the second average value and the second standard deviation corresponding to the weight-to-power ratio of the vehicle model data under different preset functions, and use the ratio of the second standard deviation to the second average value as the second coefficient of variation.

8. The lightweight evaluation method for a truck according to claim 5, characterized in that, Calculate multiple different third coefficients of variation corresponding to the fuel consumption per unit weight of the vehicle model data under different preset functions, including: Calculate the third average value and the third standard deviation corresponding to the fuel consumption per unit weight of the vehicle model data under different preset functions, and use the ratio of the third standard deviation to the third average value as the third coefficient of variation.

9. The lightweight evaluation method for a truck according to any one of claims 4 - 8, characterized in that,The preset functions include: taking the square root and the natural logarithm of the nominal volume of the truck, the rated power of the engine, and the fuel consumption per 100 kilometers.

10. A computer storage medium, characterized in that, A lightweight evaluation program for trucks is stored on the computer-readable storage medium. When the lightweight evaluation program for trucks is executed by a processor, the lightweight evaluation method for trucks according to any one of claims 1-9 is implemented.

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