Method and device for determining energy consumption sensitivity of vehicle energy consumption parameters
By obtaining the characteristic values of vehicle energy consumption parameters, calculating and optimizing value factors, energy consumption change factors and cost factors, comprehensively determining the sensitivity of energy consumption parameters, the problem of difficult to accurately determine the sensitivity of energy consumption parameters in the prior art is solved, and the problem of realizing the accuracy of energy consumption parameters is achieved. Scientific decision-making support for energy consumption optimization and cost assessment has promoted the reduction of vehicle energy consumption and sustainable development.
Patent Information
- Application Number
- CN202411172255.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-26
- Publication Date
- 2024-12-31
- Estimated Expiration
- 2044-08-26
AI Technical Summary
The prior art is difficult to accurately determine the sensitivity of energy consumption parameters in vehicle energy consumption simulation analysis, which affects energy consumption optimization and cost evaluation.
By obtaining the characteristic values of the vehicle's energy consumption parameters, the optimization value factor, energy consumption change factor and cost factor are calculated, and comprehensively considered to determine the energy consumption sensitivity of the energy consumption parameters, and the energy consumption parameters are optimized according to the sensitivity.
It improves the accuracy of the sensitivity of energy consumption parameters, provides scientific decision-making support, reduces vehicle energy consumption, promotes energy conservation, emission reduction and sustainable development.
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Figure CN118690586B_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of data analysis, and in particular, relates to a method and device for determining the energy consumption sensitivity of vehicle energy consumption parameters. Background Art
[0002] Usually, in order to reduce the energy consumption of vehicles, the energy consumption parameters related to energy consumption are often simulated and analyzed using the vehicle energy consumption model to determine the correlation between the optimization of each energy consumption parameter and the change in energy consumption. However, in the process of energy consumption simulation analysis, the performance parameters of the whole vehicle and each system have different degrees of influence on the energy consumption results, and the change of energy consumption parameters is closely related to the basic performance of the whole vehicle, technical complexity, development time and risk, and development cost.
[0003] Therefore, it is crucial to analyze the energy consumption sensitivity of the energy consumption parameters of the vehicle energy consumption model. By quantitatively analyzing the energy consumption sensitivity of the energy consumption parameters, the relationship between the reduced energy consumption and increased costs of each energy consumption parameter can be reflected, so as to achieve rapid and accurate adjustment of the energy consumption parameters. Summary of the invention
[0004] The embodiments of the present application provide a method and device for determining the energy consumption sensitivity of a vehicle energy consumption parameter, thereby improving the accuracy of the energy consumption sensitivity of the energy consumption parameter.
[0005] According to a first aspect of the present application, an embodiment of the present application provides a method for determining energy consumption sensitivity of a vehicle energy consumption parameter, which may include:
[0006] Obtain characteristic values corresponding to energy consumption parameters in the vehicle, the characteristic values including: parameter test value, parameter average value and parameter value range;
[0007] Determine the optimization value factor of energy consumption parameters based on parameter test values and parameter average values;
[0008] Determine the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value, wherein the first energy consumption parameter value is any value within the parameter value range;
[0009] Determining a cost factor of the energy consumption parameter based on cost information of the energy consumption system associated with the energy consumption parameter;
[0010] The energy consumption sensitivity of energy consumption parameters is determined based on the optimization value factor, energy consumption change factor and cost factor.
[0011] Optionally, the optimization value factor of the energy consumption parameter is determined according to the parameter test value and the parameter average value, including:
[0012] Determine the test difference of the energy consumption parameter according to the difference between the parameter test value and the parameter average value;
[0013] The ratio of the test difference to the parameter mean is determined as the optimization value factor.
[0014] Optionally, determining the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual value of energy consumption corresponding to the first energy consumption parameter value includes:
[0015] Performing energy consumption simulation on the first energy consumption parameter value to obtain an energy consumption simulation result, the energy consumption simulation result including: a maximum energy consumption value and a minimum energy consumption value of the energy consumption system when the first energy consumption parameter is used;
[0016] An energy consumption variation factor of the energy consumption parameter is determined according to the maximum energy consumption value, the minimum energy consumption value and the actual energy consumption value corresponding to the first energy consumption parameter value.
[0017] Optionally, determining the energy consumption change factor of the energy consumption parameter according to the maximum energy consumption value, the minimum energy consumption value and the actual energy consumption value corresponding to the first energy consumption parameter value includes:
[0018] Determine the energy consumption change value according to the difference between the maximum energy consumption and the minimum energy consumption;
[0019] The ratio of the energy consumption change value to the actual energy consumption value is determined as the energy consumption change factor.
[0020] Optionally, the energy consumption sensitivity of the energy consumption parameter is determined according to the optimization value factor, the energy consumption change factor and the cost factor, including:
[0021] Determine the optimization value factor, and the product of the energy consumption change factor and the cost factor is the energy consumption sensitivity.
[0022] Optionally, the cost information includes: energy consumption system material cost, energy consumption system management cost and energy consumption system research and development cost.
[0023] Optionally, after determining the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor, the method further includes:
[0024] Obtaining the energy consumption sensitivity of each energy consumption parameter in the vehicle;
[0025] Sort each energy consumption parameter in order of energy consumption sensitivity to obtain an energy consumption parameter optimization sequence;
[0026] The first N energy consumption parameters in the energy consumption parameter optimization sequence are determined as optimized energy consumption parameters.
[0027] Optionally, before sorting the energy consumption parameters in order of energy consumption sensitivity to obtain an energy consumption parameter optimization sequence, the method further includes:
[0028] Determine the normalization coefficient of the energy consumption parameter according to the parameter test value and parameter value range of the energy consumption parameter;
[0029] Normalizing the energy consumption sensitivity of the energy consumption parameter according to the normalization coefficient to obtain the processed energy consumption sensitivity;
[0030] The energy consumption parameters are sorted in order of energy consumption sensitivity to obtain the energy consumption parameter optimization sequence, including:
[0031] The energy consumption parameters are sorted in order of the processed energy consumption sensitivity to obtain the energy consumption parameter optimization sequence.
[0032] Optionally, the parameter value range includes: a maximum parameter value and a minimum parameter value;
[0033] According to the parameter test value and parameter value range of the energy consumption parameter, the normalization coefficient of the energy consumption parameter is determined, including:
[0034] Determine the parameter test effective value of the energy consumption parameter according to the difference between the parameter test value and the parameter minimum value;
[0035] Determine the parameter fluctuation value of the energy consumption parameter according to the difference between the maximum value and the minimum value of the parameter;
[0036] The ratio of the parameter test effective value and the parameter fluctuation value is determined as the normalization coefficient.
[0037] According to a second aspect of the present application, an embodiment of the present application provides an energy consumption sensitivity determination device for a vehicle energy consumption parameter, comprising:
[0038] A first acquisition module is used to obtain characteristic values corresponding to energy consumption parameters in the vehicle, the characteristic values including: parameter test values, parameter average values and parameter value ranges;
[0039] A first determination module is used to determine the optimization value factor of the energy consumption parameter according to the parameter test value and the parameter average value;
[0040] A second determination module is used to determine the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value, and the first energy consumption parameter value is any value within the parameter value range;
[0041] A third determination module is used to determine a cost factor of the energy consumption parameter according to cost information of the energy consumption system associated with the energy consumption parameter;
[0042] The fourth determination module is used to determine the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor.
[0043] According to a third aspect of the present application, an embodiment of the present application provides a device for determining energy consumption sensitivity of a vehicle energy consumption parameter, the device comprising: a processor and a memory storing computer program instructions;
[0044] When the processor executes the computer program instructions, it implements the energy consumption sensitivity determination method of the vehicle energy consumption parameter of any one of the first aspects.
[0045] According to the fourth aspect of the present application, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method for determining the energy consumption sensitivity of the vehicle energy consumption parameters of any one of the first aspect is implemented.
[0046] According to the fifth aspect of the present application, an embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the method for determining the energy consumption sensitivity of vehicle energy consumption parameters of any one of the first aspects.
[0047] The energy consumption sensitivity determination method and device of the vehicle energy consumption parameters of the embodiment of the present application obtains the characteristic value of the energy consumption parameters in the vehicle, thereby determining the optimization value factor of the energy consumption parameters according to the parameter test value and the parameter average value; then determining the energy consumption change factor according to the simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value; then determining the cost factor according to the cost information of the energy consumption system corresponding to the energy consumption parameter, thereby comprehensively considering the optimization value factor, the energy consumption change factor and the cost factor to determine the energy consumption sensitivity of the energy consumption parameters. Based on this, the energy consumption sensitivity is obtained by comprehensively considering from multiple aspects, which improves the accuracy of the determination of the energy consumption sensitivity, thereby providing scientific and effective decision support for the optimization of vehicle energy consumption parameters. This helps to reduce vehicle energy consumption, improve energy efficiency, and promote the realization of energy conservation, emission reduction and sustainable development goals. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0049] Figure 1 is a flow chart of a method for determining energy consumption sensitivity of a vehicle energy consumption parameter according to an exemplary embodiment;
[0050] Figure 2 is another flow chart of a method for determining energy consumption sensitivity of a vehicle energy consumption parameter according to an exemplary embodiment;
[0051] Figure 3 is a structural block diagram of a device for determining energy consumption sensitivity of vehicle energy consumption parameters according to an exemplary embodiment;
[0052] Figure 4 It is a structural block diagram of a device for determining energy consumption sensitivity of vehicle energy consumption parameters according to an exemplary embodiment. DETAILED DESCRIPTION
[0053] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.
[0054] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-otherwise inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.
[0055] As described in the background technology section, in the prior art, by quantitatively analyzing the energy consumption sensitivity of energy consumption parameters, the relationship between the reduced energy consumption and increased cost of each energy consumption parameter can be reflected, so as to achieve rapid and accurate adjustment of the energy consumption parameters.
[0056] Based on this, in the method for determining the energy consumption sensitivity of vehicle energy consumption parameters provided in the embodiment of the present application, the energy consumption sensitivity is obtained by comprehensive consideration from multiple aspects, which improves the accuracy of determining the energy consumption sensitivity, thereby providing scientific and effective decision support for the optimization of vehicle energy consumption parameters. This helps to reduce vehicle energy consumption, improve energy efficiency, and promote the realization of energy conservation, emission reduction and sustainable development goals.
[0057] The present application provides a method and device for determining the energy consumption sensitivity of a vehicle energy consumption parameter. The following first introduces the method for determining the energy consumption sensitivity of a vehicle energy consumption parameter provided in an embodiment of the present application.
[0058] Figure 1 A schematic diagram of a process flow of a method for determining the energy consumption sensitivity of a vehicle energy consumption parameter provided by an embodiment of the present application is shown. Figure 1 As shown, the method may include the following steps:
[0059] S101, obtaining characteristic values corresponding to energy consumption parameters in the vehicle, the characteristic values including: parameter test value, parameter average value and parameter value range;
[0060] S102, determining an optimization value factor of an energy consumption parameter according to a parameter test value and a parameter average value;
[0061] S103, determining an energy consumption change factor of the energy consumption parameter according to an energy consumption simulation result of a first energy consumption parameter value and an actual energy consumption value corresponding to the first energy consumption parameter value, wherein the first energy consumption parameter value is any value within a parameter value range;
[0062] S104, determining a cost factor of the energy consumption parameter according to cost information of the energy consumption system associated with the energy consumption parameter;
[0063] S105, determining the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor.
[0064] Based on the above embodiments, the energy consumption sensitivity determination method and device of the vehicle energy consumption parameters of the embodiments of the present application obtain the characteristic values of the energy consumption parameters in the vehicle, thereby determining the optimization value factor of the energy consumption parameters according to the parameter test value and the parameter average value; then determining the energy consumption change factor according to the simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value; then determining the cost factor according to the cost information of the energy consumption system corresponding to the energy consumption parameter, thereby comprehensively considering the optimization value factor, the energy consumption change factor and the cost factor to determine the energy consumption sensitivity of the energy consumption parameters. Based on this, the energy consumption sensitivity is obtained by comprehensive consideration from multiple aspects, which improves the accuracy of the determination of the energy consumption sensitivity, thereby providing scientific and effective decision support for the optimization of vehicle energy consumption parameters. This helps to reduce vehicle energy consumption, improve energy efficiency, and promote the realization of energy conservation, emission reduction and sustainable development goals.
[0065] In the above S101, the energy consumption parameters of the vehicle are key indicators for evaluating its energy consumption and efficiency. Specifically, the energy consumption parameters may include: drag coefficient, fuel consumption per 100 kilometers, power consumption, cruising range, etc.
[0066] If you want to reduce the energy consumption of a vehicle, you can directly obtain the energy consumption parameters that need to be studied, and you can obtain the characteristic values of the energy consumption parameters by consulting materials, or simulating and measuring the energy consumption parameters of the vehicle.
[0067] As an example, the characteristic values include: parameter test value, parameter average value and parameter value range; among them, the parameter test value is: the vehicle energy consumption data obtained from actual tests; the parameter average value is: the average data of the energy consumption parameter in the industry; the parameter value range is: the value range of the energy consumption parameter under normal circumstances.
[0068] In the above S102, the optimization value factor of the energy consumption parameter can be determined by calculating the parameter test value and the parameter average value.
[0069] As an example, the optimization value factor is a quantitative indicator used to evaluate the optimization potential or space size of a specific parameter (in this case, the energy consumption parameter) relative to a certain benchmark value (such as the industry average). The larger the value of the optimization value factor, the greater the difference between the energy consumption parameter and the industry standard, and the larger the optimization value space. It reflects the degree of difference between the test value and the benchmark value. By calculating this difference and converting it into a comparable value, it helps decision makers quickly identify which parameters have greater optimization value.
[0070] Specifically, the above S102 may include:
[0071] S1021, determining a test difference of the energy consumption parameter according to a difference between the parameter test value and the parameter average value;
[0072] S1022, determining the ratio of the test difference and the parameter average value as the optimization value factor.
[0073] Based on the above implementation, by calculating the difference between the parameter test value and the parameter average value (test difference), and the ratio of the difference to the parameter average value (optimization value factor), the optimization potential of energy consumption parameters can be accurately quantified. This method provides decision makers with objective and specific data support, which helps to more accurately evaluate and optimize energy consumption performance.
[0074] In the above S1021, the parameter average value is subtracted from the parameter test value to obtain the test difference value of the energy consumption parameter.
[0075] In the above S1022, the test difference is divided by the parameter average value to obtain the optimization value factor.
[0076] More specifically, S1021-S1022 can be calculated by the following formula 1:
[0077] Formula 1
[0078] in, represents the optimization value factor of the i-th energy consumption parameter, represents the parameter test value of the i-th energy consumption parameter, is the parameter average value of the energy consumption parameter.
[0079] In the above S103, the energy consumption variation factor of the energy consumption parameter may be determined by calculating the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value.
[0080] As an example, the energy consumption change factor is to simulate the energy consumption parameters in the whole vehicle energy consumption model, scan the parameters within the parameter value range, check the magnitude of the energy consumption change, compare the extreme value of the simulated energy consumption simulation result with the actual energy consumption value of the energy consumption system when the first energy consumption parameter value is used, and calculate the rate of change. This rate of change can reflect the relationship between the change in the value of the energy consumption parameter and the change in energy consumption.
[0081] Specifically, S103 may include:
[0082] S1031, performing energy consumption simulation on the first energy consumption parameter value to obtain an energy consumption simulation result, wherein the energy consumption simulation result includes: a maximum energy consumption value and a minimum energy consumption value of the energy consumption system when the first energy consumption parameter is used;
[0083] S1032: Determine an energy consumption change factor of the energy consumption parameter according to the maximum energy consumption value, the minimum energy consumption value, and the actual energy consumption value corresponding to the first energy consumption parameter value.
[0084] In the above embodiment, energy consumption simulation is performed on any first energy consumption parameter in the parameter value range to determine the maximum energy consumption and the minimum energy consumption of the energy consumption system within the parameter value range, and then the extreme difference of the simulated energy consumption result is compared with the actual energy consumption value of the energy consumption system when the first energy consumption parameter value is used to obtain the energy consumption change factor, thereby improving the accuracy of the energy consumption change factor.
[0085] In the above S1031, the first energy consumption parameter value is simulated by using an energy consumption simulation system to obtain a simulation result, wherein the simulation result refers to the energy consumption range of the energy consumption system under the condition of the first energy consumption parameter value in theory, including the maximum energy consumption value and the minimum energy consumption value.
[0086] In the above S1032, when the energy consumption parameter value is the first, the energy consumption system is detected by a detection device to obtain the actual energy consumption value of the energy consumption system when the energy consumption parameter value is the first.
[0087] By calculating the maximum energy consumption, the minimum energy consumption and the actual energy consumption, the energy consumption change factor of the energy consumption parameter is obtained.
[0088] More specifically, S1032 also includes:
[0089] S10321, determining an energy consumption change value according to a difference between a maximum energy consumption value and a minimum energy consumption value;
[0090] S10322, determining the ratio of the energy consumption change value to the actual energy consumption value as the energy consumption change factor.
[0091] In the above S10321, by calculating the difference between the maximum energy consumption and the minimum energy consumption, the energy consumption change value when the energy consumption changes at the first energy consumption parameter value can be determined.
[0092] In the above S10322, the energy consumption change value is divided by the actual energy consumption value to obtain the energy consumption change factor.
[0093] Wherein S1032 can calculate the energy consumption change factor by the following formula 2.
[0094] Formula 2
[0095] in, is the maximum energy consumption, is the minimum energy consumption, is the actual value of energy consumption under this parameter, is the energy consumption variation factor.
[0096] In the above S104, the energy consumption parameter is a quantitative index used to describe the energy consumption of the vehicle during operation. These parameters may include fuel consumption rate, electric energy consumption rate, etc., which directly reflect the energy efficiency level of the vehicle under different operating conditions. By adjusting and optimizing these parameters, the energy consumption performance of the vehicle can be effectively improved, the operating cost can be reduced, and the impact on the environment can also be reduced.
[0097] The energy consumption system is the basis for achieving energy consumption parameters. The energy consumption system includes key components such as the engine, transmission system, battery, motor, and electronic control system, which work together to achieve efficient operation of the vehicle. The performance and design of these components directly affect the performance of energy consumption parameters. For example, the combustion efficiency of the engine, the transmission efficiency of the transmission system, the energy density of the battery, and the efficiency of the motor will directly affect the energy consumption level of the vehicle.
[0098] Therefore, when determining the cost factor of an energy consumption parameter, it is necessary to consider the cost information of the corresponding energy consumption system and calculate the energy consumption factor based on the cost information of the energy consumption system.
[0099] Specifically, the cost information may include: energy consumption system material cost, energy consumption system management cost and energy consumption system research and development cost, etc.
[0100] The energy consumption system material cost information may include: the purchase cost of each component in the energy consumption system.
[0101] The energy consumption system management cost can be: labor cost, machine use cost, water and electricity cost during the installation and assembly of various components in the energy consumption system, and storage cost of the energy consumption system and various components.
[0102] The R&D cost of the energy consumption system can be: the design cost and experimental cost of the energy consumption system during the R&D process. The R&D cost of the energy consumption system can be estimated through project management of the energy consumption system.
[0103] The cost factor can be determined by taking the weighted sum of the energy consumption system material cost, energy consumption system management cost and energy consumption system research and development cost.
[0104] By calculating the cost factor, we can quantify the impact of changes in energy consumption parameters on different cost components of the energy consumption system. This helps decision makers consider cost-effectiveness when optimizing energy consumption parameters, thereby making more informed decisions.
[0105] In the above S105, the energy consumption sensitivity of the energy consumption parameter is determined by comprehensively evaluating the optimization value factor, the energy consumption change factor and the cost factor.
[0106] Specifically, S105 may include:
[0107] S1051, determine the optimization value factor, the product of the energy consumption change factor and the cost factor is the energy consumption sensitivity.
[0108] The energy consumption sensitivity can be calculated by the following formula 3.
[0109] Formula 3
[0110] in, is the energy consumption sensitivity, To optimize the value factor, is the energy consumption variation factor, is the cost factor.
[0111] In order to more accurately determine the energy consumption parameters that need to be optimized, the present application also provides another implementation of the method for determining the energy consumption sensitivity of vehicle energy consumption parameters.
[0112] Figure 2 Another flow chart of a method for determining the energy consumption sensitivity of a vehicle energy consumption parameter provided by an embodiment of the present application is shown. Figure 2 As shown, after the above S105, the method may further include the following steps:
[0113] S201, obtaining energy consumption sensitivity of each energy consumption parameter in the vehicle;
[0114] S202, sorting the energy consumption parameters according to the order of energy consumption sensitivity to obtain an energy consumption parameter optimization sequence;
[0115] S203: Determine the first N energy consumption parameters in the energy consumption parameter optimization sequence as optimized energy consumption parameters.
[0116] Based on the above embodiment, by sorting each energy consumption parameter according to energy consumption sensitivity to obtain an energy consumption parameter optimization sequence, the first N energy consumption parameters can be selected from the energy consumption parameter optimization sequence as energy consumption parameters to be optimized, thereby accurately obtaining energy consumption parameters to be optimized.
[0117] In the above S201, each energy consumption parameter in the vehicle is calculated according to the above S101-S105 to determine the energy consumption sensitivity of each energy consumption parameter.
[0118] In the above S202, the energy consumption parameters are sorted according to the order of their energy consumption sensitivities, so as to obtain an energy consumption parameter optimization sequence.
[0119] In the above S203, the decision maker determines the first N energy consumption parameters as the energy consumption parameters to be optimized according to actual needs, thereby selecting the first N energy consumption parameters as the optimized energy consumption parameters from the energy consumption parameter optimization sequence, and then optimizing the optimized energy consumption parameters.
[0120] In order to accurately rank the energy consumption sensitivities, the present application also provides another implementation of a method for determining the energy consumption sensitivity of vehicle energy consumption parameters.
[0121] Before the above S202, the method may further include the following steps:
[0122] S301, determining a normalization coefficient of an energy consumption parameter according to a parameter test value and a parameter value range of the energy consumption parameter;
[0123] S302, normalizing the energy consumption sensitivity of the energy consumption parameter according to the normalization coefficient to obtain processed energy consumption sensitivity;
[0124] The above S202 may include:
[0125] S303, sorting the energy consumption parameters according to the order of the processed energy consumption sensitivity to obtain an energy consumption parameter optimization sequence.
[0126] In the above embodiment, since the units of each energy consumption parameter, that is, the dimensions they are in are not the same, it is necessary to determine the normalization coefficient corresponding to each energy consumption parameter based on the parameter test value and parameter value range of the energy consumption parameter, so as to normalize the energy consumption sensitivity of the energy consumption parameter according to the normalization coefficient to obtain the processed energy consumption sensitivity. Therefore, the processed energy consumption sensitivity allows each energy consumption parameter to be in the same dimension, so that the size can be compared and sorted. Therefore, each energy consumption parameter can be sorted in the order of the size of the processed energy consumption sensitivity to obtain the energy consumption parameter optimization sequence. Based on this, by calculating the normalization coefficient of each energy consumption parameter and reprocessing the energy consumption sensitivity using the normalization coefficient, each processed energy consumption sensitivity can be in the same dimension, so that the energy consumption parameter optimization sequence sorted according to the size of the processed energy consumption sensitivity is more accurate.
[0127] In the above S301, the parameter test value and the parameter value range of the energy consumption parameter are calculated to obtain the ratio of the parameter test value to the parameter value range, and the ratio is the normalization coefficient of the energy consumption parameter.
[0128] Specifically, the parameter value range includes: a maximum parameter value and a minimum parameter value.
[0129] S301 may include:
[0130] S3011, determining a parameter test effective value of the energy consumption parameter according to a difference between the parameter test value and the parameter minimum value;
[0131] S3012, determining a parameter fluctuation value of the energy consumption parameter according to a difference between a maximum value of the parameter and a minimum value of the parameter;
[0132] S3013, determining the ratio of the parameter test effective value and the parameter fluctuation value as a normalization coefficient.
[0133] Based on the above embodiment, the test effective value is determined by calculating the difference between the parameter test value and the parameter minimum value, which can more accurately reflect the actual performance of the energy consumption parameter under specific test conditions. This method takes into account the minimum value of the parameter, which helps to exclude abnormally low values that may be caused by accidental factors or test errors, thereby obtaining a more realistic and reliable energy consumption evaluation result. By calculating the difference between the maximum value of the parameter and the minimum value of the parameter to determine the parameter fluctuation value, the fluctuation range of the energy consumption parameter within the possible range of variation can be clearly quantified. This is crucial for understanding and predicting the performance stability of the energy consumption system, helps to identify possible risk points, and provides data support for subsequent optimization measures. The normalization coefficient is the ratio of the parameter test effective value to the parameter fluctuation value, which can convert the test results of different energy consumption parameters into a unified scale for comparison and analysis. This normalization process eliminates the dimensional differences between different parameters, making the energy consumption evaluation results more intuitive and easy to understand, and also facilitates the performance comparison and comprehensive evaluation between different energy consumption systems.
[0134] In the above S10311, the parameter test value is subtracted from the parameter minimum value to obtain the parameter test effective value of the energy consumption parameter, which can more accurately reflect the actual performance of the energy consumption parameter under specific test conditions. This method takes into account the minimum value of the parameter, which helps to exclude abnormally low values that may be caused by accidental factors or test errors, thereby obtaining a more realistic and reliable energy consumption evaluation result.
[0135] In the above S1032, the parameter minimum value is subtracted from the parameter maximum value to obtain the parameter fluctuation value of the energy consumption parameter, and the parameter fluctuation value can clearly quantify the fluctuation range of the energy consumption parameter within the possible variation range.
[0136] In the above S1033, the parameter test effective value is divided by the parameter fluctuation value to obtain a normalization coefficient.
[0137] More specifically, the normalization coefficient can be obtained by the following formula 4.
[0138] Formula 4
[0139] in, is the normalization coefficient, is the parameter test value, is the maximum value of the parameter, is the minimum value of the parameter.
[0140] In the above S302 , the original energy consumption sensitivity of the energy consumption parameter (the energy consumption sensitivity calculated by the above formula 3) is multiplied by a normalization coefficient, so as to implement normalization processing and obtain the processed energy consumption sensitivity.
[0141] Specifically, the processed energy consumption sensitivity can be obtained by the following formula 5.
[0142] Formula 5
[0143] in, is the energy consumption sensitivity after processing, is the normalization coefficient, To optimize the value factor, is the energy consumption variation factor, is the cost factor.
[0144] In the above S303, the processed energy consumption sensitivities corresponding to the energy consumption parameters are sorted in order of magnitude, so as to obtain an energy consumption parameter optimization sequence with a more accurate ordering of magnitude.
[0145] It should be noted that the application scenarios described in the above-mentioned embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field can know that with the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
[0146] Based on the same inventive concept, the present application also provides a device for determining the energy consumption sensitivity of vehicle energy consumption parameters. Figure 3 Provide detailed explanation.
[0147] Figure 3 A schematic diagram of the hardware structure of the device 300 for determining the energy consumption sensitivity of vehicle energy consumption parameters provided by an embodiment of the present invention is shown.
[0148] like Figure 3 As shown, the energy consumption sensitivity determination device 300 of the vehicle energy consumption parameter may include:
[0149] The first acquisition module 310 is used to obtain characteristic values corresponding to energy consumption parameters in the vehicle, and the characteristic values include: parameter test values, parameter average values and parameter value ranges;
[0150] A first determination module 320, for determining an optimization value factor of an energy consumption parameter according to a parameter test value and a parameter average value;
[0151] The second determination module 330 is used to determine the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value, and the first energy consumption parameter value is any value within the parameter value range;
[0152] A third determination module 340 is used to determine a cost factor of the energy consumption parameter according to cost information of the energy consumption system associated with the energy consumption parameter;
[0153] The fourth determination module 350 is used to determine the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor.
[0154] In the energy consumption sensitivity determination device 200 of the vehicle energy consumption parameter provided in this embodiment, the characteristic value of the energy consumption parameter in the vehicle is obtained by the first acquisition module 310, and the first determination module 320 determines the optimization value factor of the energy consumption parameter according to the parameter test value and the parameter average value; the second determination module 330 determines the energy consumption change factor according to the simulation result of the first energy consumption parameter value and the actual value of energy consumption corresponding to the first energy consumption parameter value; the third determination module 340 determines the cost factor according to the cost information of the energy consumption system corresponding to the energy consumption parameter, and the fourth determination module 350 can thus comprehensively consider the optimization value factor, the energy consumption change factor and the cost factor to determine the energy consumption sensitivity of the energy consumption parameter. Based on this, the energy consumption sensitivity is obtained by comprehensive consideration from multiple aspects, which improves the accuracy of the determination of the energy consumption sensitivity, thereby providing scientific and effective decision support for the optimization of vehicle energy consumption parameters. This helps to reduce vehicle energy consumption, improve energy efficiency, and promote the realization of energy conservation, emission reduction and sustainable development goals.
[0155] Optionally, the first determining module 320 may include:
[0156] A first determining unit, configured to determine a test difference value of an energy consumption parameter according to a difference value between a parameter test value and a parameter average value;
[0157] The second determining unit is used to determine the ratio of the test difference and the parameter average value as the optimization value factor.
[0158] Optionally, the second determining module 330 may include:
[0159] A simulation module, used to perform energy consumption simulation on the first energy consumption parameter value to obtain an energy consumption simulation result, wherein the energy consumption simulation result includes: a maximum energy consumption value and a minimum energy consumption value of the energy consumption system when the first energy consumption parameter is used;
[0160] The third determining unit is used to determine the energy consumption change factor of the energy consumption parameter according to the maximum energy consumption value, the minimum energy consumption value and the actual energy consumption value corresponding to the first energy consumption parameter value.
[0161] Optionally, the third determining unit may include:
[0162] A first determining subunit, used to determine an energy consumption change value according to a difference between a maximum energy consumption value and a minimum energy consumption value;
[0163] The second determining subunit is used to determine the ratio of the energy consumption change value to the actual energy consumption value as the energy consumption change factor.
[0164] Optionally, the fourth determining module 350 may include:
[0165] The fourth determination unit is used to determine the optimization value factor, and the product of the energy consumption change factor and the cost factor is the energy consumption sensitivity.
[0166] Optionally, the cost information includes: energy consumption system material cost, energy consumption system management cost and energy consumption system research and development cost.
[0167] Optionally, the energy consumption sensitivity determination device 300 of the vehicle energy consumption parameter may further include:
[0168] A second acquisition module is used to acquire the energy consumption sensitivity of each energy consumption parameter in the vehicle;
[0169] A sorting module is used to sort the energy consumption parameters according to the order of energy consumption sensitivity to obtain an energy consumption parameter optimization sequence;
[0170] The fifth determination module is used to determine that the first N energy consumption parameters in the energy consumption parameter optimization sequence are optimized energy consumption parameters.
[0171] Optionally, the energy consumption sensitivity determination device 300 of the vehicle energy consumption parameter may further include:
[0172] A sixth determination module, used to determine a normalization coefficient of the energy consumption parameter according to a parameter test value and a parameter value range of the energy consumption parameter;
[0173] A normalization processing module, used for normalizing the energy consumption sensitivity of the energy consumption parameter according to the normalization coefficient to obtain the processed energy consumption sensitivity;
[0174] Sorting modules may include:
[0175] The sorting submodule is used to sort the energy consumption parameters according to the order of the processed energy consumption sensitivity to obtain the energy consumption parameter optimization sequence.
[0176] Optionally, the parameter value range includes: a maximum parameter value and a minimum parameter value;
[0177] The normalization processing module may include:
[0178] A fifth determining unit, configured to determine a parameter test effective value of the energy consumption parameter according to a difference between the parameter test value and the parameter minimum value;
[0179] a sixth determining unit, configured to determine a parameter fluctuation value of the energy consumption parameter according to a difference between a maximum value of the parameter and a minimum value of the parameter;
[0180] The seventh determination unit is used to determine the ratio of the parameter test effective value and the parameter fluctuation value as a normalization coefficient.
[0181] The energy consumption sensitivity determination device 300 of the vehicle energy consumption parameter provided in the embodiment of the present application can achieve the above Figure 1-Figure 2 Each process implemented by the method embodiment can achieve the same technical effect, and will not be described again here to avoid repetition.
[0182] Figure 4 A schematic diagram of the hardware structure of a device for determining energy consumption sensitivity of vehicle energy consumption parameters provided by an embodiment of the present invention is shown.
[0183] Data encryption and decryption The energy consumption sensitivity determination device of the vehicle energy consumption parameter may include a processor 401 and a memory 402 storing computer program instructions.
[0184] Specifically, the processor 401 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiment of the present invention.
[0185] The memory 402 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 402 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 402 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 402 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 402 is a non-volatile solid-state memory.
[0186] In certain embodiments, the memory 402 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage media device, an optical storage media device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, typically, the memory 402 includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors 401), it is operable to perform the operations described with reference to the method according to an aspect of the present application.
[0187] The processor 401 reads and executes computer program instructions stored in the memory 402 to implement any one of the energy consumption sensitivity determination devices for data encryption and / or decryption of vehicle energy consumption parameters in the above embodiments.
[0188] In one example, the energy consumption sensitivity determination device for data encryption and decryption of vehicle energy consumption parameters may also include a communication interface 403 and a bus 404. As shown in the figure, the processor 401, the memory 402, and the communication interface 403 are connected through the bus 404 and communicate with each other.
[0189] The communication interface 403 is mainly used to implement the communication between the modules, devices, units and / or equipment in the embodiment of the present invention.
[0190] The bus 404 includes hardware, software, or both. By way of example and not limitation, the bus 404 may include an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front side bus (FSB), a hypertransport (HT) interconnect, an industry standard architecture (ISA) bus, a wireless bandwidth interconnect, a low pin count (LPC) bus, a memory bus, a micro channel architecture (MCA) bus, a peripheral control interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standard association local (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 404 may include one or more buses 404. Although the present application embodiment describes and illustrates a specific bus 404, the present application considers any suitable bus 404 or interconnect.
[0191] The energy consumption sensitivity determination device for data encryption and decryption of vehicle energy consumption parameters can be based on the current data encryption and decryption of vehicle energy consumption parameters energy consumption sensitivity determination method, thereby realizing the combination Figure 1~Figure 3 A method and device for determining energy consumption sensitivity of vehicle energy consumption parameters are described.
[0192] In addition, the embodiment of the present application also provides a computer program product, including computer program instructions, which can implement the steps and corresponding contents of the aforementioned method embodiment when the computer program product is executed by the processor 401.
[0193] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.
[0194] The functional blocks shown in the structural block diagram described above can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier. "Machine-readable medium" may include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.
[0195] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.
[0196] The above describes various aspects of the present disclosure with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of the boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data encryption and / or decryption device for determining the energy consumption sensitivity of vehicle energy consumption parameters to produce a machine so that these instructions executed by the processor of a computer or other programmable data processing device enable the implementation of the functions / actions specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.
[0197] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.
Claims
1. A method for determining the energy consumption sensitivity of a vehicle energy consumption parameter, characterized in that: The method comprises: Obtaining characteristic values corresponding to energy consumption parameters in the vehicle, the characteristic values including: parameter test values, parameter average values, and parameter value ranges; Determining the optimization value factor of the energy consumption parameter according to the parameter test value and the parameter average value; Determine the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value, wherein the first energy consumption parameter value is any value within the parameter value range; Determining a cost factor of the energy consumption parameter according to cost information of an energy consumption system associated with the energy consumption parameter; Determining the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor; The optimization value factor is calculated by the following formula: Among them, X ci represents the optimization value factor of the i-th energy consumption parameter, C i represents the parameter test value of the i-th energy consumption parameter, C s is the parameter average value of the energy consumption parameter value; The energy consumption change factor is calculated by the following formula: Among them, E cimax is the maximum energy consumption, E cimin is the minimum energy consumption, E s is the actual energy consumption value under the first energy consumption parameter value, Y ci is the energy consumption variation factor; The cost factor is obtained by weighted summing the energy consumption system material cost, the energy consumption system management cost and the energy consumption system research and development cost.
2. The method according to claim 1, characterized in that Determining the optimization value factor of the energy consumption parameter according to the parameter test value and the parameter average value includes: Determining a test difference value of the energy consumption parameter according to a difference value between the parameter test value and the parameter average value; The ratio of the test difference to the parameter average is determined as the optimization value factor.
3. The method according to claim 1, characterized in that The determining the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value includes: Performing energy consumption simulation on the first energy consumption parameter value to obtain an energy consumption simulation result, wherein the energy consumption simulation result includes: a maximum energy consumption value and a minimum energy consumption value of the energy consumption system when the first energy consumption parameter is used; An energy consumption variation factor of the energy consumption parameter is determined according to the maximum energy consumption value, the minimum energy consumption value and the actual energy consumption value corresponding to the first energy consumption parameter value.
4. The method according to claim 3, characterized in that The determining the energy consumption change factor of the energy consumption parameter according to the maximum energy consumption value, the minimum energy consumption value and the actual energy consumption value corresponding to the first energy consumption parameter value includes: Determining an energy consumption change value according to a difference between the maximum energy consumption value and the minimum energy consumption value; The ratio of the energy consumption change value to the actual energy consumption value is determined as the energy consumption change factor.
5. The method according to claim 1, characterized in that The step of determining the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor includes: The optimization value factor is determined, and the product of the energy consumption change factor and the cost factor is the energy consumption sensitivity.
6. The method according to claim 1, characterized in that The cost information includes: energy consumption system material cost, energy consumption system management cost and energy consumption system research and development cost.
7. The method according to any one of claims 1 to 6, characterized in that After determining the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor, the method further includes: Obtaining energy consumption sensitivity of each of the energy consumption parameters in the vehicle; Sorting the energy consumption parameters in order of the energy consumption sensitivity to obtain an energy consumption parameter optimization sequence; Determine the first N energy consumption parameters in the energy consumption parameter optimization sequence as optimized energy consumption parameters.
8. The method according to claim 7, characterized in that Before sorting the energy consumption parameters in order of the energy consumption sensitivity to obtain an energy consumption parameter optimization sequence, the method further includes: Determining a normalization coefficient of the energy consumption parameter according to the parameter test value and the parameter value range of the energy consumption parameter; Normalizing the energy consumption sensitivity of the energy consumption parameter according to the normalization coefficient to obtain processed energy consumption sensitivity; The energy consumption parameters are sorted in order of the energy consumption sensitivity to obtain an energy consumption parameter optimization sequence, including: The energy consumption parameters are sorted in order of the energy consumption sensitivity after the processing to obtain an energy consumption parameter optimization sequence.
9. The method according to claim 8, characterized in that The parameter value range includes: the maximum value of the parameter and the minimum value of the parameter; Determining the normalization coefficient of the energy consumption parameter according to the parameter test value and the parameter value range of the energy consumption parameter includes: Determining a parameter test effective value of the energy consumption parameter according to a difference between the parameter test value and the parameter minimum value; Determining a parameter fluctuation value of the energy consumption parameter according to a difference between the maximum value of the parameter and the minimum value of the parameter; The ratio of the parameter test effective value to the parameter fluctuation value is determined as the normalization coefficient.
10. A device for determining energy consumption sensitivity of vehicle energy consumption parameters, characterized in that: The device comprises: A first acquisition module is used to acquire characteristic values corresponding to energy consumption parameters in the vehicle, wherein the characteristic values include: parameter test values, parameter average values, and parameter value ranges; A first determination module, used to determine the optimization value factor of the energy consumption parameter according to the parameter test value and the parameter average value; A second determination module is used to determine the energy consumption change factor of the energy consumption parameter according to the energy consumption simulation result of the first energy consumption parameter value and the actual energy consumption value corresponding to the first energy consumption parameter value, wherein the first energy consumption parameter value is any value within the parameter value range; A third determination module, configured to determine a cost factor of the energy consumption parameter according to cost information of an energy consumption system associated with the energy consumption parameter; A fourth determination module, configured to determine the energy consumption sensitivity of the energy consumption parameter according to the optimization value factor, the energy consumption change factor and the cost factor; The optimization value factor is calculated by the following formula: Among them, X ci represents the optimization value factor of the i-th energy consumption parameter, C i represents the parameter test value of the i-th energy consumption parameter, C s is the parameter average value of the energy consumption parameter value; The energy consumption change factor is calculated by the following formula: Among them, E cimax is the maximum energy consumption, E cimin is the minimum energy consumption, E s is the actual energy consumption value under the first energy consumption parameter value, Y ci is the energy consumption variation factor; The cost factor is obtained by weighted summing the energy consumption system material cost, the energy consumption system management cost and the energy consumption system research and development cost.