An energy consumption assessment method, apparatus, electronic device, and medium

Abstract

This invention relates to the field of vehicle technology and discloses an energy consumption assessment method, apparatus, electronic device, and medium. The energy consumption assessment method provided by this invention determines the energy consumption weight for each temperature level based on the number of vehicle models in a target region and the number of days per year at each temperature level in the target region; it acquires driving data of the vehicle model under target conditions at each temperature level to determine the energy consumption data for each temperature level; and it determines the annual average energy consumption of the vehicle model based on the energy consumption weights and the energy consumption data for each temperature level. This invention obtains the average annual energy consumption level of actual users based on the average energy consumption and regulatory operating conditions. This makes the entire vehicle system, including powertrain and energy management, more efficiently meet the actual needs of users.

Description

Technical Field

[0001] This invention belongs to the field of vehicle technology, specifically relating to an energy consumption assessment method, device, electronic equipment, and medium. Background Technology

[0002] Currently, relevant national departments manage the energy consumption of BEV (electric vehicles), HEV (hybrid electric vehicles), and ICE (internal combustion engine vehicles) passenger vehicles according to the testing methods specified in standards such as GB / T 18386.1, GB / T 19753, and GB / T 19233. These standards all use chassis dynamometers to simulate standard test conditions such as CLTC-P (China Light Vehicle Test Cycle) or WLTC (Worldwide Harmonized Light Vehicles Test Cycle) in environmental laboratory conditions, and the test environment is at room temperature (23℃). (Although the appendices of GB / T 19233 and GB / T 18386.1 also provide energy consumption test methods for low-temperature environments and high-temperature environments with air conditioning on, the fuel consumption announcement data is only based on room temperature test data.) The energy consumption label displayed when new cars are sold only shows data under room temperature conditions. Therefore, the displayed energy consumption does not take into account energy consumption under multiple environmental conditions, making it impossible for users to accurately estimate the vehicle's energy consumption in other environmental situations. Summary of the Invention

[0003] One of the objectives of this invention is to provide an energy consumption assessment method, apparatus, electronic device, and medium to solve the aforementioned technical problems.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of this invention provides an energy consumption assessment method, the method comprising:

[0006] The energy consumption weights for each temperature level are determined based on the number of vehicle models to be evaluated in the target region and the number of days per year in the target region at each temperature level.

[0007] The driving data of the vehicle to be evaluated under the target conditions at each temperature level are obtained, and the energy consumption data at each temperature level is determined.

[0008] The annual average energy consumption of the vehicle model to be evaluated is determined based on the energy consumption weights and energy consumption data at each temperature level.

[0009] Optionally, determining the number of days per year in the target area at each temperature level includes:

[0010] Based on the historical annual temperature data of the target area and the temperature range of the high temperature level in the temperature level classification criteria, determine the number of days in the first year under the high temperature level of the target area;

[0011] Based on the historical annual temperature data of the target area and the low temperature range in the temperature level classification criteria, determine the number of days in the second year under the low temperature level in the target area;

[0012] Based on the historical annual temperature data of the target area and the normal temperature range in the temperature classification criteria, determine the number of days in the third year under the normal temperature level of the target area.

[0013] Optionally, determining the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level includes:

[0014] The first year's number of days and the number of vehicles to be evaluated are input into the first preset algorithm to calculate the energy consumption weight under the high temperature level.

[0015] The number of days in the second year and the number of vehicles to be evaluated are input into the second preset algorithm to calculate the energy consumption weight under the low temperature level.

[0016] The energy consumption weight under normal temperature level is obtained by inputting the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm.

[0017] The first preset algorithm is as follows:

[0018]

[0019] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d hot (j) represents the number of days in the first year for the j-th sample region in the target region;

[0020] The second preset algorithm is:

[0021]

[0022] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d cold (j) represents the number of days in the second year for the j-th sample region in the target region;

[0023] The third preset algorithm is:

[0024]

[0025] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d norm (j) represents the number of days in the third year for the j-th sample region in the target region.

[0026] Optionally, obtaining driving data of the vehicle to be evaluated under target conditions at each temperature level, and determining energy consumption data at each temperature level, includes:

[0027] When the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, the vehicle to be evaluated is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0028] Based on the driving data at each temperature level, the energy consumption data at each temperature level is determined.

[0029] Optionally, obtaining driving data of the vehicle to be evaluated under target conditions at each temperature level, and determining energy consumption data at each temperature level, includes:

[0030] When the vehicle to be evaluated is a hybrid vehicle and is in power consumption mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0031] Based on the driving data at each temperature level, determine the energy consumption data at each temperature level;

[0032] When the vehicle to be evaluated is a hybrid vehicle and is in battery hold mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0033] Based on the driving data at each temperature level, determine the energy consumption data at each temperature level;

[0034] Determine whether the relationship between the energy consumption data at each temperature level and the change in electricity consumption in the driving data at each temperature level satisfies the electricity balance condition.

[0035] Temperature levels that do not meet the aforementioned charge balance conditions are identified as temperature levels to be corrected.

[0036] The energy consumption data at the temperature level to be corrected is corrected to obtain the corrected energy consumption data at the temperature level to be corrected.

[0037] Optionally, correcting the energy consumption data at the temperature level to be corrected to obtain corrected energy consumption data at the temperature level to be corrected includes:

[0038] Under the temperature level to be corrected, the hybrid vehicle is controlled to drive at low speed and medium speed in multiple different battery states to obtain driving data in the multiple different battery states.

[0039] Based on the driving data under the multiple different battery charge states, determine the first fuel consumption under the multiple different battery charge states;

[0040] Determine whether there are two opposite changes in energy quantity among the multiple energy quantity changes corresponding to the first fuel energy consumption under the multiple different energy states;

[0041] If applicable, linear fitting is performed on the first fuel energy consumption under the multiple different power states and the multiple power changes corresponding to the first fuel energy consumption under the multiple different power states to obtain the corrected energy consumption data at the temperature level to be corrected.

[0042] Optionally, determining the annual average energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level includes:

[0043] When the vehicle to be evaluated is a hybrid vehicle that can be externally charged and is in battery hold mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fourth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated.

[0044] The fourth preset algorithm is:

[0045] EC weighted_f =(1-UF) CD )×(λ norm_2 ×EC norm_2 +λ hot_2 ×EC hot_2 +λ cold_2 ×EC cold_2 );

[0046] Among them, UF CD λ is the pure electric utilization coefficient of the vehicle model to be evaluated, calculated according to a specific formula. norm_2 EC represents the energy consumption weight of the vehicle model under normal temperature conditions. norm_2 λ represents the energy consumption data of the vehicle model under normal temperature conditions. hot_2 EC represents the energy consumption weight of the vehicle model under high-temperature conditions. hot_2The energy consumption data of the vehicle model under the evaluation at high temperature levels, λ cold_2 EC represents the energy consumption weight of the vehicle model under low-temperature conditions. cold_2 The energy consumption data of the vehicle model to be evaluated at low temperature levels;

[0047] When the vehicle to be evaluated is any one of the following: a fuel vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fifth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated.

[0048] The fifth preset algorithm is:

[0049] EC = λ norm ×EC norm +λ hot ×EC hot +λ cold ×EC cold ;

[0050] Where, λ norm EC is used to weight the energy consumption of the vehicle model under normal temperature conditions. norm The energy consumption data of the vehicle to be evaluated at normal temperature is λ hot EC is used to assign energy consumption weights to the vehicle model under high-temperature conditions. hot For the energy consumption data of the vehicle model to be evaluated under high temperature conditions, λ cold EC is used to weight the energy consumption of the vehicle model under low-temperature conditions. cold This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

[0051] A second aspect of the present invention provides an energy consumption assessment device, the device comprising:

[0052] The data analysis module determines the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level.

[0053] The data judgment module acquires the driving data of the vehicle under evaluation under the target conditions at each temperature level, and determines the energy consumption data at each temperature level based on the driving data of the vehicle under evaluation at each temperature level.

[0054] The data integration module determines the average annual energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level.

[0055] Optionally, the data analysis module includes:

[0056] The first-year days determination module is used to determine the number of days in the first year for the target area under the high temperature level based on the historical annual temperature data of the target area and the high temperature range in the temperature level classification criteria.

[0057] The second-year days determination module is used to determine the number of days in the second year for the target area under the low temperature level based on the historical annual temperature data of the target area and the low temperature range in the temperature level classification criteria.

[0058] The module for determining the number of days in the third year is used to determine the number of days in the third year of the target area under the normal temperature level based on the historical annual temperature data of the target area and the normal temperature range in the temperature level classification criteria.

[0059] The data analysis module includes:

[0060] Optionally, the data analysis module includes:

[0061] The first calculation module is used to input the number of days in the first year and the number of vehicles to be evaluated into the first preset algorithm to calculate and obtain the energy consumption weight under the high temperature level.

[0062] The second calculation module is used to input the number of days in the second year and the number of vehicles to be evaluated into the second preset algorithm to calculate and obtain the energy consumption weight under the low temperature level.

[0063] The third calculation module is used to input the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm to calculate and obtain the energy consumption weight under normal temperature level.

[0064] The first preset algorithm is as follows:

[0065]

[0066] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d hot (j) represents the number of days in the first year for the j-th sample region in the target region;

[0067] The second preset algorithm is:

[0068]

[0069] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d cold (j) represents the number of days in the second year for the j-th sample region in the target region;

[0070] The third preset algorithm is:

[0071]

[0072] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d norm (j) represents the number of days in the third year for the j-th sample region in the target region.

[0073] Optionally, the data judgment module includes:

[0074] The status determination module is used to control the vehicle to be evaluated to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, so as to obtain driving data at each temperature level.

[0075] The first data determination module is used to determine the energy consumption data for each temperature level based on the driving data for each temperature level.

[0076] Optionally, the data judgment module includes:

[0077] The first acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in a power consumption mode, so as to obtain driving data at each temperature level.

[0078] The second data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level.

[0079] The second acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in the battery hold mode, so as to obtain driving data at each temperature level.

[0080] The third data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level.

[0081] The power test module is used to determine whether the relationship between the energy consumption data at each temperature level and the power change in the driving data at each temperature level satisfies the power balance condition.

[0082] The first power level determination module is used to identify temperature levels that do not meet the power balance conditions as temperature levels to be corrected.

[0083] The power correction module is used to correct the energy consumption data at the temperature level to be corrected, and obtain the corrected energy consumption data at the temperature level to be corrected.

[0084] Optionally, the data judgment module includes:

[0085] The data acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed under multiple different battery states at the temperature level to be corrected, and to obtain driving data under the multiple different battery states.

[0086] The power conversion acquisition module is used to determine the first fuel consumption under the multiple different power states based on the driving data under the multiple different power states;

[0087] The second module for determining the power consumption is used to determine whether there are two power consumption changes with opposite power changes among the multiple power consumption changes corresponding to the first fuel energy consumption under the multiple different power states;

[0088] The correction analysis module, when present, performs linear fitting on the first fuel energy consumption under multiple different power states and multiple power changes corresponding to the first fuel energy consumption under multiple different power states, to obtain the corrected energy consumption data at the temperature level to be corrected.

[0089] Optionally, the data integration module includes:

[0090] The fourth calculation module is used to calculate the energy consumption weight and energy consumption data of the vehicle under evaluation at each temperature level using a fourth preset algorithm when the vehicle under evaluation is a hybrid vehicle that can be externally charged and is in the battery hold mode, so as to obtain the annual average energy consumption of the vehicle under evaluation.

[0091] The fourth preset algorithm is:

[0092] EC weighted_f =(1-UF) CD )×(λ norm_2 ×EC norm_2 +λ hot_2 ×EC hot_2 +λ cold_2 ×EC cold_2 );

[0093] Among them, UF CD λ is the pure electric utilization coefficient of the vehicle model to be evaluated, calculated according to a specific formula. norm_2 The energy consumption weight of the vehicle model under normal temperature conditions, EC norm_2 The energy consumption data of the vehicle model under evaluation at normal temperature level, λ hot_2 The energy consumption weight of the vehicle model under high temperature conditions, EC hot_2The energy consumption data of the vehicle model under the evaluation at high temperature levels, λ cold_2 The energy consumption weight of the vehicle model under low temperature conditions, EC cold_2 The energy consumption data of the vehicle model to be evaluated at low temperature levels;

[0094] The fifth calculation module is used to calculate the energy consumption weight and energy consumption data of the vehicle under evaluation at each temperature level using a fifth preset algorithm when the vehicle under evaluation is a fuel vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, so as to obtain the annual average energy consumption of the vehicle under evaluation.

[0095] The fifth preset algorithm is:

[0096] EC = λ norm ×EC norm +λ hot ×EC hot +λ cold ×EC cold ;

[0097] Where, λ norm EC is used to weight the energy consumption of the vehicle model under normal temperature conditions. norm The energy consumption data of the vehicle to be evaluated at normal temperature is λ hot EC is used to assign energy consumption weights to the vehicle model under high-temperature conditions. hot For the energy consumption data of the vehicle model to be evaluated under high temperature conditions, λ cold EC is used to weight the energy consumption of the vehicle model under low-temperature conditions. cold This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

[0098] A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the energy consumption assessment method as described in any of the first aspects of the present invention.

[0099] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy consumption assessment method as described in any of the first aspects of the present invention.

[0100] The energy consumption assessment method provided in this invention determines the energy consumption weight for each temperature level based on the number of vehicle models under evaluation in a target region and the number of days per year at each temperature level in the target region; it acquires driving data of the vehicle model under evaluation under target conditions at each temperature level to determine the energy consumption data for each temperature level; and it determines the annual average energy consumption of the vehicle model under evaluation based on the energy consumption weights and the energy consumption data for each temperature level. This invention obtains the average annual energy consumption level of actual users based on the average energy consumption and regulatory operating conditions. This makes the entire vehicle system, including powertrain and energy management, more efficiently meet the actual needs of users. Attached Figure Description

[0101] Figure 1 This is a flowchart of an energy consumption assessment method provided in one embodiment of the present invention;

[0102] Figure 2 This is a schematic diagram of the low-speed and medium-speed segments of a WLTC cycle provided in one embodiment of the present invention;

[0103] Figure 3 This is a schematic diagram of part 1 + part 2 of the CLTC-P cycle provided in one embodiment of the present invention;

[0104] Figure 4 This is a schematic diagram of linear fitting interpolation of the first fuel consumption and the change in electricity in a hybrid vehicle according to an embodiment of the present invention;

[0105] Figure 5 This is a structural block diagram of an energy consumption assessment device provided in one embodiment of the present invention;

[0106] Figure 6 This is a schematic diagram of an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0107] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0108] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0109] refer to Figure 1 , Figure 1 This is a flowchart of an energy consumption assessment method provided in one embodiment of the present invention.

[0110] Step S11: Determine the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level.

[0111] In this embodiment, firstly, the number of vehicle models to be evaluated in the target area is acquired. Simultaneously, the number of days per year in each temperature range in the area is obtained. These temperature ranges can be arranged in ascending or descending order, for example, divided into "high temperature," "low temperature," and "normal temperature." Then, a weighting calculation is performed for each temperature range. Finally, the energy consumption weight for each temperature range is obtained. These weights will be used to provide a basis for further evaluation and analysis of the energy consumption of different vehicle models in the target area at each temperature range. If the number of vehicle models or the temperature in the target area varies significantly, it may be necessary to collect data again and recalculate the energy consumption weights.

[0112] Step S12: Obtain driving data of the vehicle to be evaluated under the target conditions at each temperature level, and determine the energy consumption data at each temperature level.

[0113] In this embodiment, driving data of the vehicle model to be evaluated at various temperature levels is acquired. This can be obtained through experiments or actual driving records. Furthermore, for electric vehicles, battery status (e.g., charge level) is also a significant factor in energy consumption. The collected driving data is processed appropriately. For example, continuous driving data is segmented to facilitate analysis and calculation of energy consumption at each temperature level. The driving data at each temperature level is analyzed using a specific algorithm. For example, energy consumption per unit distance is obtained by dividing the driving distance by the battery charge level. The energy consumption data at each temperature level is then organized and output. This allows for the determination of energy consumption for different vehicle models at the same temperature level, or analysis of the impact of temperature levels on the energy consumption of a specific vehicle model.

[0114] Step S13: Determine the annual average energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level.

[0115] In this embodiment, the calculated energy consumption weights for each temperature level are weighted and summed with the energy consumption data for each temperature level to obtain the annual average energy consumption of the vehicle model to be evaluated. Specifically, the energy consumption data for each temperature level is multiplied by the corresponding energy consumption weight, and then these results are summed to obtain the annual average energy consumption of the vehicle model to be evaluated.

[0116] In conjunction with the above embodiments, in one implementation, the number of days in a year at each temperature level includes:

[0117] Based on the historical annual temperature data of the target area and the temperature range of the high temperature level in the temperature level classification criteria, determine the number of days in the first year under the high temperature level of the target area;

[0118] Based on the historical annual temperature data of the target area and the low temperature range in the temperature level classification criteria, determine the number of days in the second year under the low temperature level in the target area;

[0119] Based on the historical annual temperature data of the target area and the normal temperature range in the temperature classification criteria, determine the number of days in the third year under the normal temperature level of the target area.

[0120] In this embodiment, historical annual temperature data of a certain region is obtained, and then the historical annual temperature data of the region is divided into high temperature level, low temperature level and normal temperature level according to the temperature classification criteria. The number of days in a year corresponding to the obtained temperature level is obtained according to the historical annual temperature data. The number of days in the high temperature level is set as the number of days in the first year, the number of days in the low temperature level is set as the number of days in the second year, and the number of days in the normal temperature level is set as the number of days in the third year.

[0121] The number of days in the first year can be the number of days in the most recent year's historical annual temperature data where the average temperature is greater than or equal to 24 degrees Celsius to 27 degrees Celsius.

[0122] The number of days in the second year can be the number of days in the most recent year's historical temperature data where the average temperature is less than or equal to 0 degrees Celsius to 3 degrees Celsius.

[0123] The number of days in the third year can be the number of days in the most recent year's historical annual temperature data where the average temperature is between 4 degrees Celsius and 23 degrees Celsius.

[0124] In conjunction with the above embodiments, in one implementation, determining the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level includes:

[0125] The first year's number of days and the number of vehicles to be evaluated are input into the first preset algorithm to calculate the energy consumption weight under the high temperature level.

[0126] The number of days in the second year and the number of vehicles to be evaluated are input into the second preset algorithm to calculate the energy consumption weight under the low temperature level.

[0127] The energy consumption weight under normal temperature level is obtained by inputting the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm.

[0128] The first preset algorithm is as follows:

[0129]

[0130] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d hot (j) represents the number of days in the first year for the j-th sample region in the target region;

[0131] The second preset algorithm is:

[0132]

[0133] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d cold (j) represents the number of days in the second year for the j-th sample region in the target region;

[0134] The third preset algorithm is:

[0135]

[0136] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d norm (j) represents the number of days in the third year for the j-th sample region in the target region.

[0137] In this embodiment, the number of days in the first year and the number of vehicle models to be evaluated are used as input data. These data are then fed into a first preset algorithm to calculate the energy consumption weight at high temperatures. Similarly, the number of days in the second year and the number of vehicle models to be evaluated are fed into a second preset algorithm to calculate the energy consumption weight at low temperatures; and the number of days in the third year and the number of vehicle models to be evaluated are fed into a third preset algorithm to calculate the energy consumption weight at normal temperatures. The purpose of these steps is to obtain the energy consumption weight at different temperature levels based on historical data and vehicle model ownership.

[0138] The first preset algorithm is as follows:

[0139]

[0140] Wherein, the numerical value λ obtained by the first preset algorithm hot Let P(j) be the energy consumption weight under high temperature level, and P(j) be the number of vehicle models to be evaluated in the j-th sample area of ​​the target region. hot (j) represents the number of days in the first year for the j-th sample region in the target region.

[0141] For example, when the target region refers to the entire country, data collection is conducted by selecting provincial capitals, municipalities, and some core cities, such as Chengdu, Chongqing, Shenzhen, and Shanghai, among j sample regions. hot (j) represents the number of days in the first year for j sample regions, such as Chengdu, Chongqing, Shenzhen, and Shanghai.

[0142] The second preset algorithm is:

[0143]

[0144] Wherein, the value λ obtained by the second preset algorithm cold Let P(j) represent the energy consumption weight under low temperature conditions, P(j) represent the number of vehicle models to be evaluated in the j-th sample area of ​​the target region, and d represent the energy consumption weight under low temperature conditions. cold (j) represents the number of days in the second year for the j-th sample region in the target region.

[0145] For example, when the target region refers to the entire country, data collection is conducted by selecting provincial capitals, municipalities, and some core cities, such as Chengdu, Chongqing, Shenzhen, and Shanghai, among j sample regions. cold (j) represents the number of days in the second year for sample regions such as Chengdu, Chongqing, Shenzhen, and Shanghai.

[0146] The third preset algorithm is:

[0147]

[0148] The numerical value λ obtained by the third preset algorithm is mentioned above. norm Let P(j) represent the energy consumption weight at normal temperature, P(j) represent the number of vehicle models to be evaluated in the j-th sample area of ​​the target region, and d represent the energy consumption weight at normal temperature. norm (j) represents the number of days in the third year for the j-th sample region in the target region.

[0149] For example, when the target region refers to the entire country, data collection is conducted by selecting provincial capitals, municipalities, and some core cities, such as Chengdu, Chongqing, Shenzhen, and Shanghai, among j sample regions. norm (j) represents the number of days in the third year for sample regions such as Chengdu, Chongqing, Shenzhen, and Shanghai.

[0150] Optionally, the energy consumption weight can also be based on 100% to any two calculated energy consumption weights, for example, λ. norm =100% - λ hot -λ cold When the energy consumption weights at high temperature and low temperature are calculated, the energy consumption weights at room temperature can be obtained.

[0151] In conjunction with the above embodiments, in one implementation, acquiring driving data of the vehicle to be evaluated under target conditions at each temperature level, and determining energy consumption data at each temperature level, includes:

[0152] When the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, the vehicle to be evaluated is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0153] Based on the driving data at each temperature level, the energy consumption data at each temperature level is determined.

[0154] refer to Figure 2 and Figure 3 , Figure 2 This is a schematic diagram of the low-speed and medium-speed segments of the WLTC cycle provided in an embodiment of the present invention. Figure 3 This is a schematic diagram of part 1 + part 2 of the CLTC-P cycle provided in one embodiment of the present invention.

[0155] In this embodiment, firstly, a vehicle model to be evaluated is determined. This model can be a gasoline-powered vehicle or a pure electric vehicle, selected according to the evaluation requirements. Then, the vehicle model to be evaluated is driven at low and medium speeds at various temperature levels, and the energy consumption per unit distance at each temperature level is obtained by dividing the driving distance by the fuel consumption or electricity consumption.

[0156] For example, when the vehicle to be evaluated is a gasoline-powered vehicle, and the current temperature level is high, the driving conditions for the gasoline-powered vehicle at high temperature are determined to be the low-speed + medium-speed range of the WLTC cycle. Energy consumption tests are conducted on the vehicle under high-temperature conditions according to GB / T19233 and its Appendix B. Energy consumption data for the gasoline-powered vehicle at high temperature is obtained through simulation or experimentation. Alternatively, when the vehicle to be evaluated is a pure electric vehicle, and the current temperature level is low, the driving conditions for the pure electric vehicle at low temperature are determined to be CLTC-P Part 1 + Part 2. Energy consumption tests are conducted on the vehicle under low-temperature conditions according to GB / T18386.1 and its Appendix D. Energy consumption data for the pure electric vehicle at low temperature is obtained through simulation or experimentation.

[0157] In conjunction with the above embodiments, in one implementation, acquiring driving data of the vehicle to be evaluated under target conditions at each temperature level, and determining energy consumption data at each temperature level, includes:

[0158] When the vehicle to be evaluated is a hybrid vehicle and is in power consumption mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0159] Based on the driving data at each temperature level, determine the energy consumption data at each temperature level;

[0160] When the vehicle to be evaluated is a hybrid vehicle and is in battery hold mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level.

[0161] Based on the driving data at each temperature level, determine the energy consumption data at each temperature level;

[0162] Determine whether the relationship between the energy consumption data at each temperature level and the change in electricity consumption in the driving data at each temperature level satisfies the electricity balance condition.

[0163] Temperature levels that do not meet the aforementioned charge balance conditions are identified as temperature levels to be corrected.

[0164] The energy consumption data at the temperature level to be corrected is corrected to obtain the corrected energy consumption data at the temperature level to be corrected.

[0165] In this embodiment, the vehicle to be evaluated is determined to be a hybrid vehicle in energy consumption mode. Then, the vehicle to be evaluated is driven at low and medium speeds at various temperature levels to obtain energy consumption data for each temperature level.

[0166] For example, when the vehicle model to be evaluated is a hybrid vehicle in energy consumption mode, and the current temperature level is normal temperature, the driving conditions of the hybrid vehicle in energy consumption mode at normal temperature are selected as cycle 1+2 of the CLTC-P cycle, and the energy consumption test of the vehicle model to be evaluated under normal temperature conditions is performed according to GB / T19233. The energy consumption data of the hybrid vehicle in energy consumption mode at normal temperature is obtained through simulation or experimentation.

[0167] The vehicle to be evaluated is identified as a hybrid vehicle in battery hold-up mode. Low-speed and medium-speed driving ranges are set for the vehicle. After setting the driving speeds, the vehicle is controlled to drive at various temperature levels. During driving, relevant driving data, such as changes in battery charge, are recorded and collected. Energy consumption data can be calculated based on the driving distance and the fuel consumption of the hybrid vehicle in battery hold-up mode. For the energy consumption data at each temperature level, it is checked whether it meets the battery balance condition. The battery balance condition is whether the result of the change in battery charge obtained according to a specific calculation method is greater than a first preset value. If the result of the change in battery charge is less than or equal to the first preset value, the battery balance condition is met; if the result of the change in battery charge is greater than the first preset value, the battery balance condition is not met.

[0168] If the aforementioned power balance condition is not met, the temperature level of the current driving data is determined as the temperature level to be corrected, and the energy consumption data under the temperature level to be corrected is corrected to obtain the corrected energy consumption data under the temperature level to be corrected.

[0169] For example, when the vehicle model to be evaluated is a hybrid vehicle in battery hold mode, and the current temperature level is normal temperature, the driving data of the hybrid vehicle in battery hold mode at normal temperature is obtained. The change in battery charge in the driving data at normal temperature is calculated according to GB / T19753A1.3. If the calculated result is greater than 0.005, it is determined that the relationship between the change in battery charge at normal temperature does not meet the battery balance condition. If the battery balance condition is not met, the normal temperature level is determined as the temperature level to be corrected. The energy consumption data at the normal temperature level is corrected using a specific method to obtain the corrected fuel consumption data at the normal temperature level.

[0170] refer to Figure 4 , Figure 4 This is a schematic diagram of linear fitting interpolation of the first fuel consumption and the change in electricity in a hybrid vehicle according to an embodiment of the present invention.

[0171] In conjunction with the above embodiments, in one implementation, correcting the energy consumption data at the temperature level to be corrected to obtain corrected energy consumption data at the temperature level to be corrected includes:

[0172] Under the temperature level to be corrected, the hybrid vehicle is controlled to drive at low speed and medium speed in multiple different battery states to obtain driving data in the multiple different battery states.

[0173] Based on the driving data under the multiple different battery charge states, determine the first fuel consumption under the multiple different battery charge states;

[0174] Determine whether there are two opposite changes in energy quantity among the multiple energy quantity changes corresponding to the first fuel energy consumption under the multiple different energy states;

[0175] If applicable, linear fitting is performed on the first fuel energy consumption under the multiple different power states and the multiple power changes corresponding to the first fuel energy consumption under the multiple different power states to obtain the corrected energy consumption data at the temperature level to be corrected.

[0176] In this embodiment, when the hybrid vehicle is in charge-holding mode and at the temperature level to be corrected, the hybrid vehicle is driven in multiple different charge states, operating in either CLTC-P (part 1 + part 2) or WLTC (low-speed + medium-speed) cycles, to obtain driving data for these different charge states. Based on this driving data, the first fuel consumption under the different charge states at the temperature level to be corrected is obtained. For each different charge state, it is necessary to check whether its charge change is opposite to other charge changes. If two charge changes are opposite, a linear fitting step is performed. If two charge changes are opposite, the first fuel consumption under multiple charge states and the corresponding charge changes can be linearly fitted. Through linear fitting, corrected energy consumption data can be obtained. This corrected energy consumption data reflects the actual energy consumption of the hybrid vehicle at the temperature level to be corrected.

[0177] For example, when the temperature level to be corrected is a high temperature level, and the hybrid vehicle is in CLTC-P mode with a driving status of 1+2, and the hybrid vehicle's battery status is 20% in battery maintenance mode, a test is performed to obtain driving data with the hybrid vehicle's battery status at 20%. If the hybrid vehicle's battery status is 25% after the test, then the change in battery status in battery maintenance mode is determined to be positive. If the hybrid vehicle's battery status is 30% when the test is performed, and the hybrid vehicle's battery status is 28% after the test, then the change in battery status in battery maintenance mode is determined to be negative.

[0178] The hybrid vehicle was tested with its battery percentages in charge hold mode at 25%, 28%, and 35%, respectively. The resulting battery percentages after the tests were 27%, 28%, and 32%. This ensured that the battery percentage change in charge hold mode resulted in at least two contradictory values. The multiple battery percentage change values ​​obtained in charge hold mode were then linearly fitted with the first fuel consumption values ​​obtained from the tests at the different battery percentages. This yielded the first fuel consumption value when the battery percentage change was 0, which was then used as the corrected fuel consumption data for high-temperature conditions.

[0179] In conjunction with the above embodiments, in one implementation, determining the annual average energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level includes:

[0180] When the vehicle to be evaluated is a hybrid vehicle that can be externally charged and is in battery hold mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fourth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated.

[0181] The fourth preset algorithm is:

[0182] EC weighted_f =(1-UF) CD )×(λ norm_2 ×EC norm_2 +λ hot_2 ×EC hot_2 +λ cold_2 ×EC cold_2 );

[0183] Among them, UF CD λ is the pure electric utilization coefficient of the vehicle model to be evaluated, calculated according to a specific formula. norm_2 The energy consumption weight of the vehicle model under normal temperature conditions, EC norm_2 The energy consumption data of the vehicle model under evaluation at normal temperature level, λ hot_2 The energy consumption weight of the vehicle model under high temperature conditions, EC hot_2 The energy consumption data of the vehicle model under the evaluation at high temperature levels, λ cold_2 The energy consumption weight of the vehicle model under low temperature conditions, EC cold_2 The energy consumption data of the vehicle model to be evaluated at low temperature levels;

[0184] When the vehicle to be evaluated is any one of the following: a fuel vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fifth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated.

[0185] The fifth preset algorithm is:

[0186] EC = λ norm ×EC norm +λ hot ×EC hot +λ cold ×EC cold ;

[0187] Where, λ norm EC is used to weight the energy consumption of the vehicle model under normal temperature conditions. norm The energy consumption data of the vehicle to be evaluated at normal temperature is λ hot EC is used to assign energy consumption weights to the vehicle model under high-temperature conditions. hot For the energy consumption data of the vehicle model to be evaluated under high temperature conditions, λ cold EC is used to weight the energy consumption of the vehicle model under low-temperature conditions. cold This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

[0188] In this embodiment, when the vehicle to be evaluated is a hybrid vehicle that can be externally charged and is in the battery hold mode, the energy consumption weights and energy consumption data at each temperature level are input into the fourth preset algorithm for calculation to obtain the annual average energy consumption of the hybrid vehicle that can be externally charged and is in the battery hold mode.

[0189] The fourth preset algorithm is as follows:

[0190] EC weighted_f =(1-UF) CD )×(λ norm_2 ×EC norm_2 +λ hot_2 ×EC hot_2 +λ cold_2 ×EC cold_2 )

[0191] Among them, UF CD λ is the pure electric utilization coefficient of the vehicle model to be evaluated, calculated according to a specific formula. norm_2 The energy consumption weight of the vehicle model under normal temperature conditions, EC norm_2 The energy consumption data of the vehicle model under evaluation at normal temperature level, λ hot_2 The energy consumption weight of the vehicle model under high temperature conditions, EChot_2 The energy consumption data of the vehicle model under the evaluation at high temperature levels, λ cold_2 The energy consumption weight of the vehicle model under low temperature conditions, EC cold_2 The energy consumption data of the vehicle model to be evaluated at low temperature levels;

[0192] If the vehicle to be evaluated is a gasoline vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, the annual average energy consumption of the vehicle to be evaluated is calculated by the fifth preset algorithm.

[0193] The fifth preset algorithm is as follows:

[0194] EC = λ norm ×EC norm +λ hot ×EC hot +λ cold ×EC cold

[0195] Where, λ norm EC is used to weight the energy consumption of the vehicle model under normal temperature conditions. norm The energy consumption data of the vehicle to be evaluated at normal temperature is λ hot EC is used to assign energy consumption weights to the vehicle model under high-temperature conditions. hot For the energy consumption data of the vehicle model to be evaluated under high temperature conditions, λ cold EC is used to weight the energy consumption of the vehicle model under low-temperature conditions. cold This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

[0196] Among them, when the vehicle to be evaluated is a gasoline vehicle or a hybrid vehicle that cannot be externally charged and is in fuel consumption mode, the energy consumption data of the vehicle to be evaluated at various temperature levels is EC. norm_1 Energy consumption data at normal temperature level (EC) hot_1 Energy consumption data at high temperature levels (EC) cold_1 Energy consumption data at low temperature levels;

[0197] When the vehicle under evaluation is a pure electric vehicle or a hybrid vehicle that can be externally charged, and it is in power consumption mode, the energy consumption data of the vehicle under evaluation at various temperature levels is EC. norm_3 Energy consumption data at normal temperature level (EC) hot_3 Energy consumption data at high temperature levels (EC) cold_3 Energy consumption data at low temperature levels;

[0198] Based on the same inventive concept, one embodiment of the present invention provides an energy consumption assessment device 500. (See reference...) Figure 5 , Figure 5This is a structural block diagram of an energy consumption assessment device provided in one embodiment of the present invention. Figure 5 As shown, the device 500 includes:

[0199] The data analysis module 501 is used to determine the energy consumption weight of each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level.

[0200] The data judgment module 502 is used to acquire the driving data of the vehicle under the target conditions of each temperature level, and to determine the energy consumption data of each temperature level based on the driving data of the vehicle under the target conditions of each temperature level.

[0201] The data integration module 503 is used to determine the annual average energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level.

[0202] Optionally, the data analysis module 501 includes:

[0203] The first-year days determination module is used to determine the number of days in the first year for the target area under the high temperature level based on the historical annual temperature data of the target area and the high temperature range in the temperature level classification criteria.

[0204] The second-year days determination module is used to determine the number of days in the second year for the target area under the low temperature level based on the historical annual temperature data of the target area and the low temperature range in the temperature level classification criteria.

[0205] The module for determining the number of days in the third year is used to determine the number of days in the third year of the target area under the normal temperature level based on the historical annual temperature data of the target area and the normal temperature range in the temperature level classification criteria.

[0206] The data analysis module 501 includes:

[0207] Optionally, the data analysis module 501 includes:

[0208] The first calculation module is used to input the number of days in the first year and the number of vehicles to be evaluated into the first preset algorithm to calculate and obtain the energy consumption weight under the high temperature level.

[0209] The second calculation module is used to input the number of days in the second year and the number of vehicles to be evaluated into the second preset algorithm to calculate and obtain the energy consumption weight under the low temperature level.

[0210] The third calculation module is used to input the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm to calculate and obtain the energy consumption weight under normal temperature level.

[0211] The first preset algorithm is as follows:

[0212]

[0213] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d hot (j) represents the number of days in the first year for the j-th sample region in the target region;

[0214] The second preset algorithm is:

[0215]

[0216] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d cold (j) represents the number of days in the second year for the j-th sample region in the target region;

[0217] The third preset algorithm is:

[0218]

[0219] Where P(j) represents the number of vehicle models to be evaluated in the j-th sample region of the target region, and d norm (j) represents the number of days in the third year for the j-th sample region in the target region.

[0220] Optionally, the data judgment module 502 includes:

[0221] The status determination module is used to control the vehicle to be evaluated to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, so as to obtain driving data at each temperature level.

[0222] The first data determination module is used to determine the energy consumption data for each temperature level based on the driving data for each temperature level.

[0223] Optionally, the data judgment module 502 includes:

[0224] The first acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in a power consumption mode, so as to obtain driving data at each temperature level.

[0225] The second data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level.

[0226] The second acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in the battery hold mode, so as to obtain driving data at each temperature level.

[0227] The third data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level.

[0228] The power test module is used to determine whether the relationship between the energy consumption data at each temperature level and the power change in the driving data at each temperature level satisfies the power balance condition.

[0229] The first power level determination module is used to identify temperature levels that do not meet the power balance conditions as temperature levels to be corrected.

[0230] The power correction module is used to correct the energy consumption data at the temperature level to be corrected, and obtain the corrected energy consumption data at the temperature level to be corrected.

[0231] Optionally, the data judgment module 502 includes:

[0232] The data acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed under multiple different battery states at the temperature level to be corrected, and to obtain driving data under the multiple different battery states.

[0233] The power conversion acquisition module is used to determine the first fuel consumption under the multiple different power states based on the driving data under the multiple different power states;

[0234] The second module for determining the power consumption is used to determine whether there are two power consumption changes with opposite power changes among the multiple power consumption changes corresponding to the first fuel energy consumption under the multiple different power states;

[0235] The correction analysis module, when present, performs linear fitting on the first fuel energy consumption under multiple different power states and multiple power changes corresponding to the first fuel energy consumption under multiple different power states, to obtain the corrected energy consumption data at the temperature level to be corrected.

[0236] Optionally, the data integration module 503 includes:

[0237] The fourth calculation module is used to calculate the energy consumption weight and energy consumption data of the vehicle under evaluation at each temperature level using a fourth preset algorithm when the vehicle under evaluation is a hybrid vehicle that can be externally charged and is in the battery hold mode, so as to obtain the annual average energy consumption of the vehicle under evaluation.

[0238] The fourth preset algorithm is:

[0239] EC weighted_f =(1-UF) CD )×(λ norm_2 ×EC norm_2 +λ hot_2 ×EC hot_2 +λ cold_2 ×EC cold_2 );

[0240] Among them, UF CD λ is the pure electric utilization coefficient of the vehicle model to be evaluated, calculated according to a specific formula. norm_2 The energy consumption weight of the vehicle model under normal temperature conditions, EC norm_2 The energy consumption data of the vehicle model under evaluation at normal temperature level, λ hot_2 The energy consumption weight of the vehicle model under high temperature conditions, EC hot_2 The energy consumption data of the vehicle model under the evaluation at high temperature levels, λ cold_2 The energy consumption weight of the vehicle model under low temperature conditions, EC cold_2 The energy consumption data of the vehicle model to be evaluated at low temperature levels;

[0241] The fifth calculation module is used to calculate the energy consumption weight and energy consumption data of the vehicle under evaluation at each temperature level using a fifth preset algorithm when the vehicle under evaluation is a fuel vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, so as to obtain the annual average energy consumption of the vehicle under evaluation.

[0242] The fifth preset algorithm is:

[0243] EC = λ norm ×EC norm +λ hot ×EC hot +λ cold ×EC cold ;

[0244] Where, λ norm EC is used to weight the energy consumption of the vehicle model under normal temperature conditions. norm The energy consumption data of the vehicle to be evaluated at normal temperature is λ hotEC is used to assign energy consumption weights to the vehicle model under high-temperature conditions. hot For the energy consumption data of the vehicle model to be evaluated under high temperature conditions, λ cold EC is used to weight the energy consumption of the vehicle model under low-temperature conditions. cold This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

[0245] Based on the same inventive concept, another embodiment of the present invention provides an electronic device 600, such as... Figure 6 As shown. Figure 6 This is a schematic diagram of an electronic device according to an embodiment of the present invention. The electronic device includes a memory 602, a processor 601, and a computer program stored in the memory and executable on the processor. When executed by the processor, the program implements the steps in an energy consumption assessment method as described in any of the above embodiments of the present invention.

[0246] Based on the same inventive concept, another embodiment of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in an energy consumption assessment method as described in any of the above embodiments of the present invention.

[0247] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0248] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0249] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.

[0250] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0251] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0252] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0253] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0254] The present invention has provided a detailed description of an energy consumption assessment method, apparatus, electronic device, and medium. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An energy consumption assessment method, characterized in that, The method includes: The energy consumption weights for each temperature level are determined based on the number of vehicle models to be evaluated in the target region and the number of days per year in the target region at each temperature level. The driving data of the vehicle to be evaluated under the target conditions at each temperature level are obtained, and the energy consumption data at each temperature level is determined. Based on the energy consumption weights and energy consumption data at each temperature level, the annual average energy consumption of the vehicle model to be evaluated is determined. The step of determining the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level includes: The first year's number of days and the number of vehicles to be evaluated are input into the first preset algorithm to calculate the energy consumption weight under the high temperature level. The number of days in the second year and the number of vehicles to be evaluated are input into the second preset algorithm to calculate the energy consumption weight under the low temperature level. The energy consumption weight under normal temperature level is obtained by inputting the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm. The first preset algorithm is as follows: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the first year for each sample region; The second preset algorithm is: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the second year for each sample region; The third preset algorithm is: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the third year for each sample region; The step of acquiring driving data of the vehicle under evaluation under target conditions at each temperature level, and determining energy consumption data at each temperature level, includes: When the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, the vehicle to be evaluated is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level. When the vehicle to be evaluated is a hybrid vehicle and is in power consumption mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level. When the vehicle to be evaluated is a hybrid vehicle and is in battery hold mode, the hybrid vehicle is controlled to drive at low speed and medium speed at each temperature level to obtain driving data at each temperature level. Based on the driving data at each temperature level, determine the energy consumption data at each temperature level; When the vehicle being evaluated is a hybrid vehicle and is in battery hold mode, the method further includes: Determine whether the relationship between the energy consumption data at each temperature level and the change in electricity consumption in the driving data at each temperature level satisfies the electricity balance condition. Temperature levels that do not meet the aforementioned charge balance conditions are identified as temperature levels to be corrected. The energy consumption data at the temperature level to be corrected is corrected to obtain the corrected energy consumption data at the temperature level to be corrected.

2. The method according to claim 1, characterized in that, The determination of the number of days per year in the target region at each temperature level includes: Based on the historical annual temperature data of the target area and the high temperature range in the temperature level classification criteria, determine the number of days in the first year at the high temperature level in the target area; Based on the historical annual temperature data of the target area and the low temperature range in the temperature level classification criteria, determine the number of days in the second year at the low temperature level in the target area; Based on the historical annual temperature data of the target region and the normal temperature range in the temperature level classification criteria, determine the number of days in the third year at the normal temperature level for the target region.

3. The method according to claim 1, characterized in that, The step of correcting the energy consumption data at the temperature level to be corrected, to obtain the corrected energy consumption data at the temperature level to be corrected, includes: Under the temperature level to be corrected, the hybrid vehicle is controlled to drive at low speed and medium speed in multiple different battery states to obtain driving data in the multiple different battery states. Based on the driving data under the multiple different battery charge states, determine the first fuel consumption under the multiple different battery charge states; Determine whether there are two opposite changes in energy quantity among the multiple energy quantity changes corresponding to the first fuel energy consumption under the multiple different energy states; If applicable, linear fitting is performed on the first fuel energy consumption under the multiple different power states and the multiple power changes corresponding to the first fuel energy consumption under the multiple different power states to obtain the corrected energy consumption data at the temperature level to be corrected.

4. The method according to claim 3, characterized in that, The step of determining the annual average energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level includes: When the vehicle to be evaluated is a hybrid vehicle that can be externally charged and is in battery hold mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fourth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated. The fourth preset algorithm is: ； in, The pure electric utilization coefficient of the vehicle model to be evaluated is calculated according to a specific formula. The energy consumption weight of the vehicle model under normal temperature conditions is given. The energy consumption data of the vehicle model under evaluation at normal temperature. The energy consumption weight of the vehicle model under high temperature conditions is given. The data refers to the energy consumption of the vehicle model under the high-temperature rating. The energy consumption weight of the vehicle model under low temperature conditions is given. The energy consumption data of the vehicle model to be evaluated at low temperature levels; When the vehicle to be evaluated is any one of the following: a fuel vehicle, a pure electric vehicle, a hybrid vehicle that can be externally charged and is in the power consumption mode, or a hybrid vehicle that cannot be externally charged and is in the fuel consumption mode, the energy consumption weight and energy consumption data of the vehicle to be evaluated at each temperature level are calculated by the fifth preset algorithm to obtain the annual average energy consumption of the vehicle to be evaluated. The fifth preset algorithm is: ； in, As the weighting of the energy consumption of the vehicle model under normal temperature conditions, The data represents the energy consumption of the vehicle model under normal temperature conditions. As the weighting of the energy consumption of the vehicle model under high temperature conditions, The data represents the energy consumption of the vehicle model under high-temperature conditions. As the weighting of the energy consumption of the vehicle model under low-temperature conditions, This is the energy consumption data of the vehicle model to be evaluated at low temperature levels.

5. An energy consumption assessment device, characterized in that, The device includes: The data analysis module determines the energy consumption weight for each temperature level based on the number of vehicle models to be evaluated in the target area and the number of days per year in the target area at each temperature level. The data judgment module acquires the driving data of the vehicle under evaluation under the target conditions at each temperature level, and determines the energy consumption data at each temperature level based on the driving data of the vehicle under evaluation at each temperature level. The data integration module determines the average annual energy consumption of the vehicle model to be evaluated based on the energy consumption weights and energy consumption data at each temperature level. The data analysis module includes: The first calculation module is used to input the number of days in the first year and the number of vehicles to be evaluated into the first preset algorithm to calculate and obtain the energy consumption weight under the high temperature level. The second calculation module is used to input the number of days in the second year and the number of vehicles to be evaluated into the second preset algorithm to calculate and obtain the energy consumption weight under the low temperature level. The third calculation module is used to input the number of days in the third year and the number of vehicles to be evaluated into the third preset algorithm to calculate and obtain the energy consumption weight under normal temperature level. The first preset algorithm is as follows: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the first year for each sample region; The second preset algorithm is: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the second year for each sample region; The third preset algorithm is: ； in, For the first in the target area The number of vehicle models to be evaluated in each sample region. For the first in the target area The number of days in the third year for each sample region; The data judgment module includes: The status determination module is used to control the vehicle to be evaluated to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a fuel vehicle or a pure electric vehicle, so as to obtain driving data at each temperature level. The first data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level. The first acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in a power consumption mode, so as to obtain driving data at each temperature level. The second data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level. The second acquisition module is used to control the hybrid vehicle to drive at low speed and medium speed at each temperature level when the vehicle to be evaluated is a hybrid vehicle and is in the battery hold mode, so as to obtain driving data at each temperature level. The third data determination module is used to determine the energy consumption data at each temperature level based on the driving data at each temperature level. The power test module is used to determine whether the relationship between the energy consumption data at each temperature level and the power change in the driving data at each temperature level satisfies the power balance condition. The first power level determination module is used to identify temperature levels that do not meet the power balance conditions as temperature levels to be corrected. The power correction module is used to correct the energy consumption data at the temperature level to be corrected, and obtain the corrected energy consumption data at the temperature level to be corrected.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements an energy consumption assessment method as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements an energy consumption assessment method as described in any one of claims 1 to 4.

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