A method, device and related products for obtaining vehicle energy analysis data

Abstract

The present application discloses a method, device and related products for obtaining vehicle energy analysis data. The trip type of the vehicle in a first target trip is determined, and the vehicle energy analysis data under the trip type is obtained based on the real-time monitoring data of the vehicle in a preset data item set in the first target trip. The preset data item set includes at least one of a first category of data items, a second category of data items and a third category of data items. Each of the first category of data items, the second category of data items and the third category of data items is related to energy changes. Based on the real-time monitoring data of the vehicle in a preset data item set in the first target trip, the changes in vehicle energy under the trip type or the proportion of energy consumption in different aspects can be accurately analyzed. It can be seen that the technical solution of the present application can obtain vehicle energy analysis data closely related to the trip type, provide data support for the research and development of vehicles and vehicle components, improve the efficiency of research and development work, and enhance the pertinence of research and development work.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method and device for acquiring vehicle energy analysis data and related products. Background Art

[0002] During a driving trip, the activation and changes of various vehicle functions may affect energy consumption. For example, turning on the air conditioner increases power consumption; switching the driving gear increases the mechanical energy output of the motor. The analysis of changes in vehicle energy during the trip is of great significance to the research and development and production of vehicles and vehicle parts. At present, there are few research results in this technical direction, and the research and development work is inefficient and poorly targeted. How to obtain rich vehicle energy analysis data to facilitate the research and development of vehicles and vehicle parts has become a technical problem that needs to be solved urgently in this field. Summary of the invention

[0003] Based on the above problems, the present application provides a method, device and related products for obtaining vehicle energy analysis data, so as to provide rich vehicle energy analysis data for the research and development of vehicles and vehicle components, and facilitate the development of research and development work.

[0004] The embodiments of the present application disclose the following technical solutions:

[0005] A first aspect of the present application provides a method for acquiring vehicle energy analysis data, comprising:

[0006] Determining a trip type of the vehicle in the first target trip;

[0007] Obtaining vehicle energy analysis data under the trip type according to real-time monitoring data of the vehicle in a preset data item set during the first target trip;

[0008] The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items;

[0009] The first category of data items includes: at least one data item for directly representing energy input, consumption or output;

[0010] The second category of data items includes: at least one data item used to indirectly calculate energy input, consumption or output;

[0011] The third category of data items includes: at least one data item for representing the working status of an energy-consuming component in the vehicle.

[0012] Optionally, the preset data item set further includes: a fourth category of data items;

[0013] The fourth category of data items includes: at least one data item used to determine the trip type.

[0014] Optionally, determining the trip type of the vehicle in the first target trip specifically includes:

[0015] Determine factors for trip type segmentation;

[0016] Obtaining real-time monitoring data of the vehicle on the fourth category of data items during the first target trip;

[0017] The trip type of the vehicle in the first target trip is determined according to the trip type classification factor and the real-time monitoring data of the vehicle in the fourth category of data items.

[0018] Optionally, the trip type classification factor is one of the following:

[0019] Season, region, vehicle production batch, vehicle usage, road conditions or driving habits.

[0020] Optionally, obtaining the vehicle energy analysis data under the trip type according to the real-time monitoring data of the vehicle in the preset data item set in the first target trip specifically includes:

[0021] Obtaining vehicle energy analysis data of the vehicle in the first target trip according to an association relationship between a data item in the preset data item set and an energy partition item in the preset energy partition item set, and real-time monitoring data of each data item of the vehicle in the first target trip;

[0022] The vehicle energy analysis data under the trip type is obtained according to the vehicle energy analysis data of the vehicle in the first target trip.

[0023] Optionally, the vehicle energy analysis data includes at least one of the following:

[0024] The direction of vehicle energy flow, the proportion of energy consumption of each energy division item, and the energy change trend of each energy division item.

[0025] Optionally, the vehicle energy analysis data uses travel time as an analysis dimension or uses travel mileage as an analysis dimension.

[0026] Optionally, the method further comprises:

[0027] Obtaining vehicle energy analysis data in a second target trip, wherein the vehicle energy analysis data in the second target trip comes from the vehicle or another vehicle; the second target trip is of the same trip type as the first target trip;

[0028] The obtaining the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip specifically includes:

[0029] The vehicle energy analysis data under the trip type is obtained according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip.

[0030] Optionally, obtaining the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip specifically includes:

[0031] Obtaining an average value of the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip;

[0032] The average value is used as vehicle energy analysis data under the trip type.

[0033] Optionally, the preset energy partition item set includes at least two of the following energy partition items:

[0034] Battery output energy, power consumption energy, non-power consumption energy, battery temperature control consumption energy, energy conversion efficiency loss energy and transmission and wheel loss energy.

[0035] Optionally, the preset energy partition item set includes at least two of the following energy partition items:

[0036] The output energy of the rechargeable energy storage system, the chemical energy of the fuel, the input electrical energy of the motor, the output mechanical energy of the motor and the energy consumption of the thermal management system.

[0037] Optionally, the method further includes: displaying vehicle energy analysis data under the trip type.

[0038] A second aspect of the present application provides a device for acquiring vehicle energy analysis data, comprising:

[0039] A trip type determination module, used to determine the trip type of the vehicle in the first target trip;

[0040] An analysis data acquisition module, configured to obtain vehicle energy analysis data under the trip type according to real-time monitoring data of the vehicle in a preset data item set in the first target trip;

[0041] The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items;

[0042] The first category of data items includes: at least one data item for directly representing energy input, consumption or output;

[0043] The second category of data items includes: at least one data item used to indirectly calculate energy input, consumption or output;

[0044] The third category of data items includes: at least one data item for representing the working status of an energy-consuming component in the vehicle.

[0045] The third aspect of the present application provides a device for acquiring vehicle energy analysis data, comprising: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the method for acquiring vehicle energy analysis data as provided in the first aspect according to the computer program.

[0046] A fourth aspect of the present application provides a computer-readable storage medium for storing a computer program, wherein when the computer program is executed by a processor, the method for obtaining vehicle energy analysis data as provided in the first aspect is executed.

[0047] Compared with the prior art, this application has the following beneficial effects:

[0048] In the method for obtaining vehicle energy analysis data provided in the embodiment of the present application, the trip type of the vehicle in the first target trip is first determined, and then the vehicle energy analysis data under the trip type is obtained according to the real-time monitoring data of the vehicle in the preset data item set in the first target trip. The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items. Among them, the first type of data items includes: at least one data item for directly indicating energy input, consumption or output; the second type of data items includes: at least one data item for indirectly calculating energy input, consumption or output; the third type of data items includes: at least one data item for indicating the working status of energy-consuming components in the vehicle. Since each of the first type of data items, the second type of data items and the third type of data items is related to energy changes, according to the real-time monitoring data of the vehicle in the preset data item set in the first target trip, the changes in vehicle energy or the proportion of energy consumption in different aspects under the trip type can be accurately analyzed. It can be seen that through the technical solution of this application, vehicle energy analysis data closely related to the trip type can be obtained, providing data support for the research and development of vehicles and vehicle components, improving the efficiency of research and development work, and enhancing the targeted nature of research and development work. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0050] Figure 1 A flow chart of a method for obtaining vehicle energy analysis data provided in an embodiment of the present application;

[0051] Figure 2 A flow chart of another method for obtaining vehicle energy analysis data provided in an embodiment of the present application;

[0052] Figure 3 A display diagram of vehicle energy analysis data of a pure electric vehicle provided in an embodiment of the present application;

[0053] Figure 4 A schematic diagram of the structure of a device for acquiring vehicle energy analysis data provided in an embodiment of the present application;

[0054] Figure 5 A schematic diagram of the structure of another device for acquiring vehicle energy analysis data provided in an embodiment of the present application;

[0055] Figure 6 A schematic diagram of the structure of another device for acquiring vehicle energy analysis data provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] At present, research progress in vehicle R&D and vehicle parts R&D, production, and optimization is slow, and one of the main reasons is the lack of effective data support. Based on this problem, the inventor has provided a method, device, and related products for obtaining vehicle energy analysis data after research. In this technical solution, the type of trip of the vehicle in the first target trip is first determined, and then the vehicle energy analysis data under the trip type is obtained based on the real-time monitoring data of the vehicle in the preset data item set in the first target trip. The preset data item set contains data items related to energy changes. Therefore, according to the real-time monitoring data of the vehicle in the preset data item set in the first target trip, the changes in vehicle energy or the proportion of energy consumption in different aspects under the trip type can be accurately analyzed. In this way, vehicle energy analysis data closely related to the trip type is obtained, which provides data support for the R&D of vehicles and vehicle parts, improves the efficiency of R&D work, and enhances the pertinence of R&D work.

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0058] Method Embodiment

[0059] See also Figure 1 , which is a flow chart of a method for obtaining vehicle energy analysis data provided by an embodiment of the present application. Figure 1 As shown, the method for obtaining vehicle energy analysis data includes:

[0060] Step 101: Determine the trip type of the vehicle in the first target trip.

[0061] In an embodiment of the present application, the first target trip is any trip to be analyzed for obtaining vehicle energy analysis data. When obtaining the vehicle energy analysis data, the first target trip has been completed. As an example, the first target trip is a trip from the driver's residence to the driver's office parking lot from 8:45 to 9:18 on October 9, 2020. In an embodiment of the present application, the trip type of the first target trip can be first confirmed, and then the real-time monitoring data during this trip can be extracted to obtain the vehicle energy analysis data under this trip type. The process of extracting vehicle energy analysis data will be explained in the subsequent step 102.

[0062] Since the execution purpose of the embodiment of the present application is to obtain vehicle energy analysis data closely related to the vehicle's trip type, it is necessary to first clarify the trip type of the vehicle in the first target trip. Therefore, this step 101 is executed.

[0063] In order to determine the trip type of the vehicle in the first target trip, first, it is necessary to determine the classification factors of the trip type. It should be noted that, depending on the different classification factors, different classification results may be obtained for the same trip, that is, it may be classified into different trip types. For example, based on the season classification, the first target trip is a summer trip; based on the vehicle use classification, the first target trip is a private trip.

[0064] Here are some examples of factors that break down trip types:

[0065] Season, region, vehicle production batch, vehicle purpose, road condition or driving habits. In other words, the vehicle trip type can be divided according to season, region, vehicle production batch, vehicle purpose, road condition or driving habits.

[0066] As an example, taking season as a dividing factor, the first target itinerary can be divided into: spring and autumn itinerary, summer itinerary or winter itinerary according to the actual occurrence season of the first target itinerary.

[0067] Taking region as the dividing factor, according to the actual geographical location of the first target itinerary, the first target itinerary can be divided into: North China itinerary, Northeast China itinerary, Central China itinerary; or, Hebei Province itinerary, Beijing Province itinerary, Liaoning Province itinerary, etc.; or, cross-provincial itinerary from Province A to Province B, etc.

[0068] Taking the vehicle production batch as a dividing factor, according to the vehicle production batch associated information (such as the frame number), the first target trip can be divided into: the trip of the vehicle of the xxxth production batch of the xx vehicle factory.

[0069] Taking the purpose of the vehicle as a dividing factor, the first target trip can be divided into: private trip or operational trip, etc. according to the information of the vehicle's regular passengers or regular items and the information of the starting point and end point of the trip.

[0070] Taking the driving condition as the classification factor, according to the driving condition information (such as geographical information, the number of traffic lights along the way, the traffic light interval, the vehicle stop time, the vehicle speed, etc.), the first target trip can be divided into: urban congestion trip, suburban trip or high-speed trip, etc.

[0071] Taking driving habits as the dividing factor, the first target trip can be divided into: aggressive trip, normal trip or gentle trip, etc. according to the mileage, time, speed, etc. of the trip.

[0072] Step 102: Obtain vehicle energy analysis data under the trip type based on the real-time monitoring data of the vehicle in the preset data item set in the first target trip.

[0073] In order to obtain the vehicle energy analysis data under the trip type determined in step 101, in this step 102, it is necessary to obtain the real-time monitoring data of the vehicle in the first target trip. In the embodiment of the present application, the real-time monitoring data of the vehicle in the preset data item set in the first target trip is mainly collected. The preset data item set is a pre-set set containing multiple data items, wherein the data items can be classified according to the relationship with energy input, consumption or output. For example, data items that can directly represent energy input, consumption or output are classified as first-category data items; data items that indirectly calculate energy input, consumption or output are classified as second-category data items; data items that cannot directly represent or indirectly calculate energy input, consumption or output, but can be used to represent the working status of energy-consuming components in the vehicle, are classified as third-category data items.

[0074] In the embodiment of the present application, the preset data item set includes at least one of the first data item, the second data item and the third data item. Since the first data item includes at least one data item for directly indicating energy input, consumption or output, the second data item includes at least one data item for indirectly calculating energy input, consumption or output, and the third data item includes at least one data item for indicating the working state of energy-consuming components in the vehicle, the real-time monitoring data of the data items in the preset data item set can be used to obtain the vehicle energy analysis data under the trip type of the first target trip.

[0075] Examples are provided below for the three types of data items mentioned above.

[0076] The first category of data items may include the following data items: battery discharge energy, current power of air conditioner, output power of internal combustion engine, etc.

[0077] The second category of data items may include the following data items: total current, total voltage, motor current, motor voltage, motor speed, motor output torque, etc.

[0078] The third category of data items may include the following data items: battery heating on state, air conditioning on state. If the vehicle is a hybrid vehicle, the third category of data items may also include: operating mode.

[0079] The above is the method for obtaining vehicle energy analysis data provided by the embodiment of the present application. Since each of the first, second and third data items is related to energy changes, the changes in vehicle energy or the proportion of energy consumption in different aspects under the type of trip can be accurately analyzed based on the real-time monitoring data of the vehicle in the preset data item set during the first target trip. It can be seen that the vehicle energy analysis data closely related to the trip type can be obtained through the technical solution of the present application, providing data support for the research and development of vehicles and vehicle parts, improving the efficiency of research and development work, and enhancing the pertinence of research and development work.

[0080] The preset data item set introduced in the above embodiment may also include: a fourth category of data items;

[0081] The fourth category of data items includes: at least one data item for determining the type of trip. For example, the frame number, longitude and latitude, time, etc. In the centralized trip type classification factors introduced above, some trip type classification factors are associated with the fourth category of data items. Therefore, in order to determine the trip type of the vehicle in the first target trip, when the above step 101 is executed, the trip type classification factors can be first obtained, and the real-time monitoring data of the vehicle in the fourth category of data items in the first target trip can be obtained; thereafter, the trip type of the vehicle in the first target trip is determined based on the trip type classification factors and the real-time monitoring data of the vehicle in the fourth category of data items.

[0082] As an example, if the trip type classification factor is region, the trip type of the first target trip can be determined based on the real-time monitoring data of longitude and latitude in the fourth category of data items.

[0083] As another example, if the trip type classification factor is the vehicle production batch, the trip type of the first target trip can be determined according to the frame number in the fourth category of data items.

[0084] As another example, if the trip type classification factor is season, the trip type of the first target trip can be determined based on the real-time monitoring data of time in the fourth category of data items.

[0085] The present application further provides another method for obtaining vehicle energy analysis data. Figure 2 The specific implementation of this method is described.

[0086] See also Figure 2 , which is a flow chart of another method for obtaining vehicle energy analysis data provided by an embodiment of the present application. Figure 2 As shown, the method includes:

[0087] Step 201: Determine the trip type of the vehicle in the first target trip.

[0088] The implementation method of step 201 is basically the same as the implementation method of step 101 in the aforementioned embodiment, so it will not be repeated here, and reference may be made to the description in the aforementioned embodiment.

[0089] Step 202: Obtain vehicle energy analysis data of the vehicle in the first target trip based on the association between the data items in the preset data item set and the energy partition items in the preset energy partition item set, and the real-time monitoring data of the vehicle in each data item in the first target trip.

[0090] In one example, the preset energy partitioning item set includes at least two energy partitioning items:

[0091] Battery output energy, power consumption energy, non-power consumption energy, battery temperature control consumption energy, energy conversion efficiency loss energy and transmission and wheel loss energy.

[0092] In another example, the preset energy partitioning item set includes at least two of the following energy partitioning items:

[0093] The output energy of the rechargeable energy storage system, the chemical energy of the fuel, the input electrical energy of the motor, the output mechanical energy of the motor and the energy consumption of the thermal management system.

[0094] The energy division items in the preset energy division item set can be understood as multiple types of energy in the vehicle divided in a certain division method. Depending on the division method, the types and quantities of energy division items may also be different. Therefore, the above two examples are only for illustration and are not intended to limit the energy division items in the preset energy division item set. For example, the preset energy division item set for a hybrid vehicle may also include energy division items such as the output energy of the internal combustion engine.

[0095] In order to improve the accuracy of the vehicle energy analysis data, before executing step 202 of the embodiment of the present application, a mapping relationship (association relationship) between the data items in the preset data item set and the energy division items in the preset energy division item set can be pre-established. For example, data item 001 corresponds to energy division item 001, data items 002-004 correspond to energy division item 002, and so on. Thereafter, based on the association relationship between the data items in the preset data item set and the energy division items in the preset energy division item set, and the real-time monitoring data of the vehicle in each data item in the first target journey, the vehicle energy analysis data of the vehicle in the first target journey is obtained. Here, depending on the structure and operation mode of the vehicle, the relationship between the data items and the energy division items of the vehicle may also be different. The specific mapping relationship is not limited here.

[0096] The vehicle energy analysis data of the vehicle in the first target trip includes at least one of the following:

[0097] The direction of vehicle energy flow, the proportion of energy consumption of each energy division item, and the energy change trend of each energy division item.

[0098] The vehicle energy analysis data uses travel time as the analysis dimension or travel mileage as the analysis dimension. Take the curve chart showing the vehicle energy analysis data as an example, that is, the horizontal axis of the curve chart represents the travel time or travel mileage. In addition, the direction of vehicle energy flow in the entire journey, the energy consumption proportion of each energy division item, and the energy change trend of each energy division item can also be analyzed, that is, the vehicle energy analysis data is represented by transient data instead of time or mileage as variables.

[0099] Taking travel time as the analysis dimension of vehicle energy analysis data as an example, assuming that the vehicle energy analysis data includes the vehicle energy flow direction, the vehicle energy analysis data may specifically include:

[0100] After travel time t1, the vehicle energy starts to flow to energy split item 002; after travel time t2, the vehicle energy starts to flow to energy split item 003; after travel time t3, a portion of the energy of energy split item 003 starts to be converted into energy split item 004.

[0101] Taking travel time as the analysis dimension of vehicle energy analysis data as an example, assuming that the vehicle energy analysis data includes the energy consumption ratio of each energy division item, the vehicle energy analysis data may specifically include:

[0102] During the entire travel time, the energy consumption ratio of each energy split item changes. For example, at travel time t1, the energy consumption ratios of energy split item 001 and energy split item 002 are 30% and 40% respectively, and at travel time t2, the energy consumption ratios of energy split item 001 and energy split item 002 are 40% and 45% respectively.

[0103] Taking travel time as the analysis dimension of vehicle energy analysis data as an example, assuming that the vehicle energy analysis data includes the energy change trend of each energy division item, the vehicle energy analysis data may specifically include:

[0104] During the entire travel time, the energy changes of each energy division item may increase, decrease, or remain unchanged. For example, the energy change trend of energy division item 001 increases, and the energy change trend of energy division item 003 decreases.

[0105] Step 203: Obtain vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip.

[0106] In a first possible implementation manner, the vehicle energy analysis data of vehicle A in the first target trip may be directly used as the vehicle energy analysis data under the trip type of the first target trip.

[0107] In a second possible implementation, the vehicle energy analysis data of vehicle A in the second target trip may also be obtained, wherein the second target trip is of the same trip type as the first target trip. The vehicle energy analysis data of the trip type of the first target trip is obtained based on the vehicle energy analysis data of vehicle A in the second target trip and the vehicle energy analysis data of vehicle A in the first target trip obtained in step 202. The number of the second target trip may be one segment or multiple segments.

[0108] In a third possible implementation, vehicle energy analysis data of other vehicles (e.g., vehicle B, vehicle C) in the second target trip may also be obtained. The second target trip has the same trip type as the first target trip, and the number of the second target trip may be one segment or multiple segments. Based on the vehicle energy analysis data in the second target trip and the vehicle energy analysis data of vehicle A in the first target trip obtained in step 202, the vehicle energy analysis data under the trip type of the first target trip is obtained.

[0109] In order to further improve the accuracy and reliability of the vehicle energy analysis data obtained in this step, optionally, the travel time difference between the second target trip and the first target trip is required to be less than the first time threshold, and / or the travel mileage difference between the second target trip and the first target trip is required to be less than the first mileage threshold. Both the first time threshold and the first mileage threshold can be set according to actual needs, and the specific values ​​are not limited here.

[0110] For the second and third implementations described above, obtaining the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip may specifically include:

[0111] The average value of the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip is obtained; and the average value is used as the vehicle energy analysis data under the trip type.

[0112] In the method for obtaining vehicle energy analysis data provided in the above embodiment, the vehicle energy analysis data of the vehicle in the first target trip is obtained based on the association relationship between the data items in the preset data item set and the energy division items in the preset energy division item set, and the real-time monitoring data of the vehicle in each data item in the first target trip. Since the data items and the energy division items are accurately matched in the association relationship, and the real-time monitoring data of each data item is obtained, the real-time monitoring data of the data items is accurately associated with the consumption, input, and output of the vehicle energy in the actual trip in real time. Therefore, the accuracy and reliability of the vehicle energy division data finally obtained can be guaranteed.

[0113] Optionally, after executing step 203, the vehicle energy analysis data under the trip type determined in step 201 is obtained. In order to facilitate the subsequent intuitive understanding of the vehicle energy analysis data by the research and development personnel, the following steps can also be performed in this embodiment:

[0114] Step 204: Display the vehicle energy analysis data under the trip type.

[0115] There are many forms of displaying vehicle energy analysis data, such as pie charts, bar charts, line charts, scatter plots, etc. Figure 3 A display diagram of vehicle energy analysis data of a pure electric vehicle provided in an embodiment of the present application. Figure 3 The vertical width in represents the energy consumption proportion of different energy division items in the entire trip under a certain trip type. The wider the vertical width, the greater the proportion of energy consumption; conversely, the smaller the vertical width, the smaller the proportion of energy consumption.

[0116] Based on the vehicle energy analysis data acquisition method provided in the above embodiment, the present application also provides a vehicle energy analysis data acquisition device. The specific implementation of the device is described below in conjunction with the embodiments and drawings.

[0117] Device Embodiment

[0118] Figure 4 A schematic diagram of a vehicle energy analysis data acquisition device provided in an embodiment of the present application. Figure 4 As shown, the vehicle energy analysis data acquisition device 400 includes:

[0119] A trip type determination module 401 and a first analysis data acquisition module 402;

[0120] A trip type determination module 401, used to determine the trip type of the vehicle in the first target trip;

[0121] A first analysis data acquisition module 402, configured to obtain vehicle energy analysis data under the trip type according to real-time monitoring data of the vehicle in a preset data item set in the first target trip;

[0122] The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items;

[0123] The first category of data items includes: at least one data item for directly representing energy input, consumption or output; the second category of data items includes: at least one data item for indirectly calculating energy input, consumption or output; the third category of data items includes: at least one data item for representing the working status of energy-consuming components in the vehicle.

[0124] Since each of the first, second and third data items is related to energy changes, the real-time monitoring data of the vehicle in the preset data item set during the first target trip can accurately analyze the changes in vehicle energy or the proportion of energy consumption in different aspects under the trip type. It can be seen that the technical solution of this application can obtain vehicle energy analysis data closely related to the trip type, provide data support for the research and development of vehicles and vehicle parts, improve the efficiency of research and development work, and enhance the pertinence of research and development work.

[0125] Optionally, the preset data item set further includes: a fourth category of data items;

[0126] The fourth category of data items includes: at least one data item used to determine the trip type.

[0127] Optionally, the trip type determination module 401 specifically includes:

[0128] A division factor determination unit, used for determining the division factors of the trip types;

[0129] A first monitoring data acquisition unit, configured to obtain real-time monitoring data of the vehicle on the fourth category of data items during the first target trip;

[0130] A trip type determination unit is used to determine the trip type of the vehicle in the first target trip according to the trip type classification factor and the real-time monitoring data of the vehicle in the fourth category of data items.

[0131] Optionally, the trip type classification factor is one of the following:

[0132] Season, region, vehicle production batch, vehicle usage, road conditions or driving habits.

[0133] Optionally, the first analysis data acquisition module 402 specifically includes:

[0134] a first acquisition unit, configured to obtain vehicle energy analysis data of the vehicle in the first target trip according to an association relationship between a data item in the preset data item set and an energy partition item in the preset energy partition item set, and real-time monitoring data of each data item of the vehicle in the first target trip;

[0135] The second acquisition unit is used to obtain the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip.

[0136] Since the data items and energy partition items are accurately matched in the association relationship, and the real-time monitoring data of each data item is obtained, the real-time monitoring data of the data item is accurately associated with the consumption, input, and output of vehicle energy in the actual journey in real time. Therefore, the accuracy and reliability of the vehicle energy partition data finally obtained can be guaranteed.

[0137] Optionally, the vehicle energy analysis data includes at least one of the following:

[0138] The direction of vehicle energy flow, the proportion of energy consumption of each energy division item, and the energy change trend of each energy division item.

[0139] Optionally, the vehicle energy analysis data uses travel time as an analysis dimension or uses travel mileage as an analysis dimension.

[0140] Alternatively, if Figure 5 The vehicle energy analysis data acquisition device 500 shown includes not only the above-mentioned trip type determination module 401 and the first analysis data acquisition module 402, but also includes:

[0141] A second analysis data acquisition module 501 is used to obtain vehicle energy analysis data in a second target trip, where the vehicle energy analysis data in the second target trip comes from the vehicle or other vehicles; the second target trip is of the same trip type as the first target trip;

[0142] The second acquisition unit is specifically configured to obtain the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip.

[0143] Optionally, the second acquisition unit includes: an average calculation subunit;

[0144] An average calculation unit is used to obtain an average value of the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip; and use the average value as the vehicle energy analysis data under the trip type.

[0145] Optionally, the preset energy partition item set includes at least two of the following energy partition items:

[0146] Battery output energy, power consumption energy, non-power consumption energy, battery temperature control consumption energy, energy conversion efficiency loss energy and transmission and wheel loss energy.

[0147] Optionally, the preset energy partition item set includes at least two of the following energy partition items:

[0148] The output energy of the rechargeable energy storage system, the chemical energy of the fuel, the input electrical energy of the motor, the output mechanical energy of the motor and the energy consumption of the thermal management system.

[0149] Alternatively, if Figure 6 The vehicle energy analysis data acquisition device 600 shown includes not only the above-mentioned trip type determination module 401 and the first analysis data acquisition module 402, but also includes: a display module 601 for displaying the vehicle energy analysis data under the trip type.

[0150] The display module 601 is used to facilitate the subsequent intuitive understanding of the vehicle energy analysis data by the research and development personnel.

[0151] Based on the vehicle energy analysis data acquisition method and vehicle energy analysis data acquisition device provided in the above embodiments, the present application also provides a vehicle energy analysis data acquisition device. The device includes: a processor and a memory; the memory is used to store a computer program; the processor is used to execute one or more steps in the vehicle energy analysis data acquisition method as described in the method embodiment according to the computer program.

[0152] Based on the vehicle energy analysis data acquisition method, device and equipment provided in the aforementioned embodiments, the present application also provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, executes one or more steps in the vehicle energy analysis data acquisition method as described in the method embodiment.

[0153] The above technical solution provided in the embodiment of the present application is not only applicable to obtaining vehicle energy analysis data of pure electric vehicles, but also applicable to obtaining vehicle energy analysis data of hybrid electric vehicles. The above method and device can be implemented by a cloud server, or by a local device or a physical server, or by a device with computing function installed on the vehicle.

[0154] It should be noted that each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and equipment embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The device and equipment embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. A person of ordinary skill in the art can understand and implement it without paying creative labor.

[0155] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for acquiring vehicle energy analysis data, characterized in that: include: Determining a trip type of the vehicle in the first target trip; According to the real-time monitoring data of the vehicle in the preset data item set in the first target trip, the vehicle energy analysis data under the trip type is obtained, the vehicle energy analysis data including at least one of the vehicle energy flow direction, the energy consumption proportion of each energy division item, and the energy change trend of each energy division item, and the energy division item is correlated with the energy division method of the vehicle; The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items; The first category of data items includes: at least one data item for directly representing energy input, consumption or output; The second category of data items includes: at least one data item used to indirectly calculate energy input, consumption or output; The third category of data items includes: at least one data item for indicating the working state of the energy-consuming component in the vehicle, the third category of data items including: at least one of the battery heating on state, the air conditioning on state and the operating mode; The obtaining of the vehicle energy analysis data under the trip type according to the real-time monitoring data of the vehicle in the preset data item set in the first target trip specifically includes: Obtaining vehicle energy analysis data of the vehicle in the first target trip according to an association relationship between the data items in the preset data item set and the energy partition items in the preset energy partition item set, and real-time monitoring data of each data item of the vehicle in the first target trip; Obtaining vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip; The preset energy partitioning item set includes at least two of the following energy partitioning items: Battery output energy, power consumption energy, non-power consumption energy, battery temperature control consumption energy, energy conversion efficiency loss energy and transmission and wheel loss energy; rechargeable energy storage system output energy, fuel chemical energy, motor input electrical energy, motor output mechanical energy and thermal management system energy consumption.

2. The method according to claim 1, characterized in that The preset data item set also includes: a fourth category of data items; The fourth category of data items includes: at least one data item used to determine the trip type.

3. The method according to claim 2, characterized in that The determining of the trip type of the vehicle in the first target trip specifically includes: Determine factors for trip type segmentation; Obtaining real-time monitoring data of the vehicle on the fourth category of data items during the first target trip; The trip type of the vehicle in the first target trip is determined according to the trip type classification factor and the real-time monitoring data of the vehicle in the fourth category of data items.

4. The method according to claim 3, characterized in that The trip type classification factor is one of the following: Season, region, vehicle production batch, vehicle usage, road conditions or driving habits.

5. The method according to claim 1, characterized in that The vehicle energy analysis data uses travel time as an analysis dimension or uses travel mileage as an analysis dimension.

6. The method according to claim 1, characterized in that Also includes: Obtaining vehicle energy analysis data in a second target trip, wherein the vehicle energy analysis data in the second target trip comes from the vehicle or another vehicle; The second target trip is of the same trip type as the first target trip; The obtaining the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip specifically includes: The vehicle energy analysis data under the trip type is obtained according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip.

7. The method according to claim 6, characterized in that The obtaining the vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip specifically includes: Obtaining an average value of the vehicle energy analysis data of the vehicle in the first target trip and the vehicle energy analysis data in the second target trip; The average value is used as vehicle energy analysis data under the trip type.

8. The method according to any one of claims 1 to 7, characterized in that: Also includes: The vehicle energy analysis data under the trip type is displayed.

9. A device for acquiring vehicle energy analysis data, characterized in that: include: A trip type determination module, used to determine the trip type of the vehicle in the first target trip; a first analysis data acquisition module, configured to obtain vehicle energy analysis data under the trip type according to real-time monitoring data of the vehicle in a preset data item set in the first target trip, wherein the vehicle energy analysis data includes at least one of a vehicle energy flow direction, an energy consumption ratio of each energy division item, and an energy change trend of each energy division item, and the energy division item is correlated with a vehicle energy division method; The preset data item set includes at least one of the following three types of data items: first type of data items, second type of data items and third type of data items; The first category of data items includes: at least one data item for directly representing energy input, consumption or output; The second category of data items includes: at least one data item used to indirectly calculate energy input, consumption or output; The third category of data items includes: at least one data item for indicating the working state of the energy-consuming component in the vehicle, the third category of data items including: at least one of the battery heating on state, the air conditioning on state and the operating mode; The first analysis data acquisition module specifically includes: a first acquisition unit, configured to obtain vehicle energy analysis data of the vehicle in the first target trip according to an association relationship between a data item in the preset data item set and an energy partition item in the preset energy partition item set, and real-time monitoring data of each data item of the vehicle in the first target trip; A second acquisition unit, configured to obtain vehicle energy analysis data under the trip type according to the vehicle energy analysis data of the vehicle in the first target trip; The preset energy partitioning item set includes at least two of the following energy partitioning items: Battery output energy, power consumption energy, non-power consumption energy, battery temperature control consumption energy, energy conversion efficiency loss energy and transmission and wheel loss energy; rechargeable energy storage system output energy, fuel chemical energy, motor input electrical energy, motor output mechanical energy and thermal management system energy consumption.

10. A device for acquiring vehicle energy analysis data, characterized in that: include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the method for acquiring vehicle energy analysis data as described in any one of claims 1-8 according to the computer program.

11. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, executes the method for obtaining vehicle energy analysis data as described in any one of claims 1 to 8.

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