Vehicle gear shift schedule selection method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a vehicle gear shift rule selection method and device, electronic equipment and a storage medium. The method comprises: determining GPF regeneration and carbon burning efficiency values of each preset working condition interval under a preset standard cycle working condition; selecting a target working condition interval meeting a carbon burning efficiency condition from each preset working condition interval according to the GPF regeneration and carbon burning efficiency values; in the case where the number of target working condition intervals is multiple, determining working condition point proportion values of different reference gear shift rules in each target working condition interval; and selecting, based on the working condition point proportion values, a reference gear shift rule with the highest working condition point proportion value from different reference gear shift rules as a target gear shift rule with the highest carbon burning efficiency in the active regeneration process. The technical scheme of the embodiments of the present application realizes selection of a relatively appropriate vehicle gear shift rule in the active regeneration process through the gear shift rule, thereby achieving the technical effect of guaranteeing the regeneration rate and reducing fuel consumption.

Description

Technical Field

[0001] The present invention relates to the field of engine technology, and in particular to a method, device, electronic device and storage medium for selecting vehicle shift patterns. Background Technology

[0002] Gasoline particulate filters (GPFs) are a means of reducing particulate matter emissions from the perspective of after-treatment. Their filtration efficiency can approach 90%. However, GPFs also have their own drawbacks. After capturing a certain amount of particulate matter, the engine needs to create conditions for regeneration. The regeneration process can be divided into active regeneration and passive regeneration based on the regeneration method.

[0003] In existing technologies, to reduce fuel consumption during the regeneration process, the GPF is typically controlled to enter passive regeneration, reducing the occurrence of active regeneration. However, passive regeneration requires high-speed, high-load conditions to burn carbon. In practical applications, the engine usage patterns of users are uncertain, and users' driving habits vary greatly, making it impossible to guarantee that the user's vehicle will complete passive regeneration.

[0004] Therefore, there is an urgent need for a method in active regeneration that can both ensure the regeneration rate and improve charcoal burning efficiency while reducing oil consumption. Summary of the Invention

[0005] This invention provides a method, device, electronic device, and storage medium for selecting vehicle shift patterns, so as to select a more suitable vehicle shift pattern during active regeneration, thereby achieving the technical effect of ensuring regeneration rate, improving carbon burning efficiency, and reducing fuel consumption.

[0006] According to one aspect of the present invention, a method for selecting a vehicle shift pattern is provided, the method comprising:

[0007] Determine the GPF regeneration efficiency value for each preset operating condition range under preset standard cycle conditions;

[0008] Based on the GPF regeneration charcoal burning efficiency values, select a target operating condition range that meets the charcoal burning efficiency conditions from the preset operating condition ranges.

[0009] When there are multiple target operating condition intervals, determine the percentage of operating points for different reference shifting rules in each target operating condition interval;

[0010] Based on the percentage of each operating point, the reference shifting rule with the highest percentage of operating points is selected from different reference shifting rules as the target shifting rule with the highest carbon burning efficiency in the active regeneration process.

[0011] Optionally, the method further includes: acquiring multiple engine operating conditions of the engine in a preset cycle, determining the arrangement order of the engine operating conditions; and splicing the engine operating condition points according to the arrangement order to obtain a preset standard cycle operating condition.

[0012] Optionally, determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under the preset standard cycle operating conditions includes: determining the cumulative carbon burning amount and oil consumption amount for each preset operating condition interval in the regeneration test under the preset standard cycle operating conditions, and determining the oil consumption amount for each preset operating condition interval in the non-regeneration test; obtaining the oil consumption increment for each preset operating condition interval based on the oil consumption amount in the regeneration test and the oil consumption amount in the non-regeneration test for each preset operating condition interval; and determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under the preset standard cycle operating conditions based on the cumulative carbon burning amount and oil consumption increment for each preset operating condition interval.

[0013] Optionally, the step of selecting a target operating condition interval that meets the charcoal burning efficiency condition from each of the preset operating condition intervals based on each of the GPF regeneration charcoal burning efficiency values ​​includes: selecting a preset operating condition interval from each of the preset operating condition intervals where the GPF regeneration charcoal burning efficiency value exceeds a preset charcoal burning efficiency threshold, based on each of the GPF regeneration charcoal burning efficiency values, as the target operating condition interval.

[0014] Optionally, determining the percentage of operating points for different reference shifting rules in each target operating condition interval includes: acquiring each operating point of different reference shifting rules under the preset standard cycle operating condition, and determining the target operating condition interval where each operating point is located; statistically analyzing the operating points in each target operating condition interval to obtain the number of operating points in each target operating condition interval; and determining the percentage of operating points for different reference shifting rules in each target operating condition interval based on the number of operating points in each target operating condition interval and the total number of all operating points.

[0015] Optionally, the method further includes: acquiring process data of the hub test under the preset standard cyclic operating conditions; dividing the engine operating condition range based on the speed and torque in the process data, and using the divided engine operating condition range as the preset operating condition range.

[0016] Optionally, dividing the engine operating condition range based on the speed and torque in the process data includes: dividing the engine operating condition range with preset interval torque and preset interval speed.

[0017] According to another aspect of the present invention, a vehicle shift pattern selection device is provided. The device includes:

[0018] The charcoal burning efficiency value determination module is used to determine the GPF regeneration charcoal burning efficiency value in each preset working condition range under preset standard cycle conditions.

[0019] The target interval determination module is used to select a target operating condition interval that meets the charcoal burning efficiency condition from each of the preset operating condition intervals based on the GPF regeneration charcoal burning efficiency value.

[0020] The operating condition point percentage determination module is used to determine the operating condition point percentage of different reference shifting rules in each of the target operating condition intervals when there are multiple target operating condition intervals.

[0021] The shift pattern selection module is used to select the reference shift pattern with the highest percentage of each operating point from different reference shift patterns based on the percentage of each operating point, and use it as the target shift pattern with the highest carbon burning efficiency in the active regeneration process.

[0022] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0023] At least one processor; and

[0024] A memory communicatively connected to the at least one processor; wherein,

[0025] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to execute the vehicle shift pattern selection method according to any embodiment of the present invention.

[0026] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the vehicle shifting pattern selection method according to any embodiment of the present invention.

[0027] The technical solution of this invention involves determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under preset standard cycle conditions; selecting a target operating condition interval that meets the carbon burning efficiency condition from each preset operating condition interval based on the GPF regeneration carbon burning efficiency value; determining the percentage of different reference shifting rules in each target operating condition interval when there are multiple target operating condition intervals; and selecting the reference shifting rule with the highest percentage of different reference shifting rules as the target shifting rule with the highest carbon burning efficiency during active regeneration based on the percentage of each reference shifting rule. This technical solution achieves the technical effect of selecting a more suitable vehicle shifting rule during active regeneration, thereby ensuring both regeneration rate and improved carbon burning efficiency while reducing fuel consumption.

[0028] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart illustrating a method for selecting vehicle shift patterns according to Embodiment 1 of the present invention.

[0031] Figure 2 This is a schematic diagram of a vehicle shift pattern selection device provided in Embodiment 2 of the present invention;

[0032] Figure 3 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products or devices.

[0035] It is understood that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and related provisions.

[0036] Example 1

[0037] Figure 1This is a flowchart illustrating a vehicle shift pattern selection method provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where a vehicle shift pattern is selected during active regeneration. The method can be executed by a vehicle shift pattern selection device, which can be implemented in hardware and / or software. The vehicle shift pattern selection device can be configured in an electronic device such as a computer or server.

[0038] like Figure 1 As shown, the method in this embodiment includes:

[0039] S110. Determine the GPF regeneration charcoal burning efficiency value for each preset operating condition range under preset standard cycle conditions.

[0040] The GPF regeneration carbon burning efficiency value can be understood as the carbon burning efficiency value during the GPF regeneration process. The preset standard cycle operating condition can be understood as a pre-set standard cycle operating condition. Optionally, the preset standard cycle operating condition can be obtained by splicing operating conditions based on the CLTC operating condition. The CLTC operating condition refers to the driving conditions of Chinese light-duty vehicles. In this embodiment of the invention, obtaining the preset standard cycle operating condition can specifically include: acquiring multiple engine operating conditions in a preset cycle, determining the arrangement order of each engine operating condition; and splicing the engine operating condition points according to the arrangement order to obtain the preset standard cycle operating condition. It should be noted that vehicle speed and engine operating conditions correspond. The arrangement order of each engine operating condition can be chronological order.

[0041] In this embodiment of the invention, the preset period can be set according to actual needs and is not specifically limited here. For example, one month, two months, or half a year, etc. For example, obtaining multiple engine operating conditions within the preset period can be done by obtaining the average mileage and average vehicle speed of a connected vehicle user within one month. In this embodiment of the invention, the technical specifications of the preset standard cyclic operating conditions may include at least:

[0042] v1≥μ1±3σ1

[0043] s1≥μ2±3σ2

[0044] Where v1 can be represented as the average vehicle speed under preset standard operating conditions, μ1 can be represented as the mean of the daily average vehicle speeds of multiple online users, and σ1 can be represented as the standard deviation of the daily average vehicle speeds of multiple online users. s1 can be represented as the average mileage under preset standard operating conditions, μ2 can be represented as the mean of the daily average mileage of multiple online users, and σ2 can be represented as the standard deviation of the daily average mileage of multiple online users.

[0045] The preset operating condition range can be understood as a pre-set operating condition range. There are usually multiple preset operating condition ranges. In this embodiment of the invention, obtaining the preset operating condition range may specifically include: acquiring process data of a hub test under the preset standard cyclic operating conditions. Then, the engine operating condition range can be divided based on the speed and torque in the process data. Thus, the divided engine operating condition range can be obtained, and the divided engine operating condition range is used as the preset operating condition range.

[0046] The engine operating condition range is divided based on the speed and torque in the process data, which can be done by using torque and speed as axes. For example, torque can be used as the horizontal axis and speed as the vertical axis. Optionally, dividing the engine operating condition range based on the speed and torque in the process data can include dividing the engine operating condition range by preset interval torque and preset interval speed. The preset interval torque can be understood as the interval between torques within a single operating condition range. For example, the preset interval torque can be 25 Nm. The preset interval speed can be understood as the interval between speeds within a single operating condition range. For example, the preset speed interval can be 250 rpm.

[0047] In this embodiment of the invention, torque is used as the horizontal axis and rotational speed is used as the vertical axis; wherein, the preset interval torque is 25 Nm and the preset speed interval is 250 rpm, and the division of the working condition range can be seen in Table 1.

[0048] Table 1 Engine Operating Condition Range Division Table

[0049]

[0050] For example, an engine operating range can be defined as a torque range of 650-900 rpm and a longitudinal axis range of 0-25 Nm. This engine operating range of 650-900 rpm and a longitudinal axis range of 0-25 Nm can be considered a single operating point.

[0051] In this embodiment of the invention, determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under preset standard cyclic operating conditions may include: determining the cumulative carbon burning amount and oil consumption amount for each preset operating condition interval in the regeneration test under preset standard cyclic operating conditions, and determining the oil consumption amount for each preset operating condition interval in the non-regeneration test; obtaining the oil consumption increment for each preset operating condition interval based on the oil consumption amount in the regeneration test and the oil consumption amount in the non-regeneration test for each preset operating condition interval; and determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under preset standard cyclic operating conditions based on the cumulative carbon burning amount and oil consumption increment for each preset operating condition interval.

[0052] The cumulative carbon consumption can be obtained based on the carbon consumption of the regeneration test under preset standard cycle conditions in each preset operating condition interval. In other words, the cumulative carbon consumption can be the sum of the carbon consumption of the regeneration test in all preset operating condition intervals. The fuel consumption increment of each preset operating condition interval can be obtained based on the fuel consumption of each preset operating condition interval in the regeneration test and in the non-regeneration test.

[0053] In this embodiment of the invention, obtaining the fuel consumption increment for each preset operating condition interval based on the fuel consumption in the regeneration test and the fuel consumption in the non-regeneration test for each preset operating condition interval may include: for each preset operating condition interval, calculating the difference between the fuel consumption in the regeneration test and the fuel consumption in the non-regeneration test for that preset operating condition interval. The difference calculation result is then obtained as the fuel consumption increment corresponding to that preset operating condition interval.

[0054] In this embodiment of the invention, the GPF regeneration carbon burning efficiency value for each preset operating condition interval is determined based on the cumulative carbon burning amount and oil consumption increment for each preset operating condition interval. This includes: for each preset operating condition interval, the cumulative carbon burning amount and oil consumption increment for that preset operating condition interval can be divided. The division result yields the GPF regeneration carbon burning efficiency value for that preset operating condition interval.

[0055] S120. Based on the GPF regeneration charcoal burning efficiency values, select a target operating condition range that meets the charcoal burning efficiency conditions from the preset operating condition ranges.

[0056] The charcoal burning efficiency condition can be a pre-set condition used to select an operating range from multiple preset operating ranges. The target operating range can be understood as the preset operating range that meets the charcoal burning efficiency condition selected from among the preset operating ranges. In this embodiment of the invention, the target operating range can be an operating range with high charcoal burning efficiency. The number of target operating ranges can be one, two, or more.

[0057] Specifically, charcoal burning efficiency conditions are preset. Based on the GPF regeneration charcoal burning efficiency value corresponding to each preset operating condition interval, a target operating condition interval that meets the charcoal burning efficiency conditions can be selected from each preset operating condition interval.

[0058] In this embodiment of the invention, selecting a target operating condition interval that meets the charcoal burning efficiency condition from each of the preset operating condition intervals based on the GPF regeneration charcoal burning efficiency values ​​may include: selecting a preset operating condition interval from each of the preset operating condition intervals where the GPF regeneration charcoal burning efficiency value exceeds a preset charcoal burning efficiency threshold, as the target operating condition interval. The preset charcoal burning efficiency threshold can be obtained based on a preset proportion of the comprehensive GPF regeneration charcoal burning efficiency value. The comprehensive GPF regeneration charcoal burning efficiency value can be the ratio of the total fuel consumption increment to the total charcoal burning amount under standard cycle operating conditions. The preset proportion can be set according to user needs, for example, 70%, 75%, or 80%.

[0059] Specifically, for each preset operating condition interval, the GPF regeneration charcoal combustion efficiency value of the preset operating condition interval can be compared with a preset charcoal combustion efficiency threshold. If the GPF regeneration charcoal combustion efficiency value of the preset operating condition interval exceeds the preset charcoal combustion efficiency threshold, the preset operating condition interval can be used as the target operating condition interval.

[0060] S130. When there are multiple target operating condition intervals, determine the percentage of operating points for different reference shifting rules in each target operating condition interval.

[0061] The operating point ratio can be defined as the ratio of the number of operating points of the reference shifting pattern within the target operating range to the total number of operating points of the entire reference shifting pattern. The reference shifting pattern can be understood as the shifting pattern required during the regeneration test. Different reference shifting patterns are shown in Table 2.

[0062] Table 2

[0063]

[0064] Here, n1 can represent the shift point at low throttle in comfort mode, n2 = n1 + 100 rpm, n3 = n1 + 200 rpm, and so on. The shift pattern in comfort mode can be the default shift pattern of a passenger vehicle equipped with a stepped automatic transmission. Engine speed, torque, and instantaneous fuel consumption can be obtained from CAN signals.

[0065] Specifically, when there are multiple target operating condition intervals, for each reference shifting rule, the total number of all operating points of the reference shifting rule can be obtained, and the total number of operating points of the reference shifting rule in each target operating condition interval can be determined. Then, the ratio of the total number of operating points of the reference shifting rule in each target operating condition interval to the total number of all operating points of the reference shifting rule can be calculated, thereby obtaining the proportion of operating points of the reference shifting rule in each target operating condition interval.

[0066] In this embodiment of the invention, determining the proportion of operating points for different reference shifting rules in each target operating condition interval may include: acquiring each operating point of different reference shifting rules under the preset standard cycle operating condition, and determining the target operating condition interval where each operating point is located. Further, the operating points in each target operating condition interval can be statistically analyzed to obtain the number of operating points in each target operating condition interval. Then, based on the number of operating points in each target operating condition interval and the total number of all operating points, the proportion of operating points for different reference shifting rules in each target operating condition interval can be determined.

[0067] The operating condition point can be the operating condition point obtained after regeneration tests are conducted under the preset standard cycle operating conditions for different reference shifting rules. In this embodiment of the invention, determining the proportion of operating condition points for different reference shifting rules in each of the target operating condition intervals based on the number of operating condition points in each target operating condition interval and the total number of all operating condition points can include: for each reference shifting rule, calculating the ratio of the number of operating condition points for the reference shifting rule in each target operating condition interval to the total number of all operating condition points for the reference shifting rule, to obtain the proportion of operating condition points for the reference shifting rule in each target operating condition interval.

[0068] S140. Based on the percentage of each operating point, select the reference shifting rule with the highest percentage of operating points from different reference shifting rules, and use it as the target shifting rule with the highest carbon burning efficiency in the active regeneration process.

[0069] Among them, the target shifting pattern can be understood as the shifting pattern with the highest carbon burning efficiency in the active regeneration process among different reference shifting patterns.

[0070] Specifically, by sorting the percentage values ​​of each operating point, the percentage value of the operating point with the largest value can be determined. Then, based on the correspondence between the percentage values ​​of the operating points and the reference shifting rules, the reference shifting rule corresponding to the percentage value of the operating point with the largest value can be determined, and the reference shifting rule corresponding to the percentage value of the operating point with the largest value can be used as the target shifting rule with the highest carbon burning efficiency in the active regeneration process.

[0071] The technical solution of this invention involves determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under preset standard cycle conditions; selecting a target operating condition interval that meets the carbon burning efficiency condition from each preset operating condition interval based on the GPF regeneration carbon burning efficiency value; determining the percentage of different reference shifting rules in each target operating condition interval when there are multiple target operating condition intervals; and selecting the reference shifting rule with the highest percentage of different reference shifting rules as the target shifting rule with the highest carbon burning efficiency during active regeneration based on the percentage of each reference shifting rule. This technical solution achieves the technical effect of selecting a more suitable vehicle shifting rule during active regeneration, thereby ensuring both regeneration rate and improved carbon burning efficiency, and thus reducing fuel consumption.

[0072] Example 2

[0073] Figure 2 This is a schematic diagram of a vehicle shift pattern selection device provided in Embodiment 2 of the present invention. Figure 2 As shown, the device includes: a charcoal burning efficiency value determination module 210, a target range determination module 220, a working condition point percentage value determination module 230, and a shifting pattern selection module 240.

[0074] Among them, the charcoal burning efficiency value determination module 210 is used to determine the GPF regeneration charcoal burning efficiency value in each preset working condition range under preset standard cycle working conditions.

[0075] The target interval determination module 220 is used to select a target operating condition interval that meets the charcoal burning efficiency condition from each of the preset operating condition intervals based on the GPF regeneration charcoal burning efficiency value.

[0076] The operating condition point percentage determination module 230 is used to determine the operating condition point percentage of different reference shifting rules in each of the target operating condition intervals when there are multiple target operating condition intervals.

[0077] The shift pattern selection module 240 is used to select the reference shift pattern with the highest percentage of operating points from different reference shift patterns based on the percentage of each operating point, and use it as the target shift pattern with the highest carbon burning efficiency in the active regeneration process.

[0078] The technical solution of this invention involves determining the GPF regeneration carbon burning efficiency value for each preset operating condition interval under a preset standard cycle; selecting a target operating condition interval that meets the carbon burning efficiency condition from each preset operating condition interval based on the GPF regeneration carbon burning efficiency value; determining the percentage of different reference shifting rules in each target operating condition interval when there are multiple target operating condition intervals; and selecting the reference shifting rule with the highest percentage of different reference shifting rules as the target shifting rule with the highest carbon burning efficiency during active regeneration based on the percentage of each reference shifting rule. This technical solution achieves the selection of a more suitable vehicle shifting rule during active regeneration, thereby ensuring both regeneration rate and improved carbon burning efficiency, ultimately reducing fuel consumption.

[0079] Optionally, the device further includes a cyclic operating condition construction module; wherein the cyclic operating condition construction module is used for:

[0080] The engine operates under multiple operating conditions within a preset cycle, and the order of these operating conditions is determined.

[0081] The engine operating points are spliced ​​together according to the stated order to obtain the preset standard cycle operating conditions.

[0082] Optionally, the charcoal burning efficiency value determination module 210 is used for:

[0083] The cumulative amount of carbon burned and the amount of oil consumed in the regeneration test are determined for each preset working condition interval under the preset standard cycle conditions, and the amount of oil consumed in the non-regeneration test is determined for each preset working condition interval.

[0084] Based on the fuel consumption in the regeneration test and the fuel consumption in the non-regeneration test for each of the preset operating conditions, the fuel consumption increment for each of the preset operating conditions is obtained.

[0085] Based on the cumulative amount of carbon burned and the increase in oil consumption in each preset operating condition interval, the GPF regeneration carbon burning efficiency value for each preset operating condition interval under the preset standard cycle operating condition is determined.

[0086] Optionally, the target interval determination module 220 is used for:

[0087] Based on the GPF regeneration charcoal burning efficiency values, a preset operating condition interval in which the GPF regeneration charcoal burning efficiency value exceeds a preset charcoal burning efficiency threshold is selected from the preset operating condition intervals and used as the target operating condition interval.

[0088] Optionally, the operating point percentage determination module 230 is used for:

[0089] Obtain the operating conditions points of different reference shifting rules under the preset standard cycle conditions, and determine the target operating condition range of each operating condition point;

[0090] The number of operating points in each target operating condition interval is obtained by statistically analyzing the operating points in each target operating condition interval.

[0091] Based on the number of operating points in each target operating condition interval and the total number of all operating operating points, the percentage of operating points in each target operating condition interval with different reference shifting rules is determined.

[0092] Optionally, the device further includes a working condition interval division module; wherein, the working condition interval division module is used for:

[0093] Acquire process data of the hub test under the preset standard cyclic conditions;

[0094] Based on the speed and torque in the process data, the engine operating condition range is divided, and the divided engine operating condition range is used as the preset operating condition range.

[0095] Optionally, the operating condition interval division module is used to divide the engine operating condition intervals with preset interval torque and preset interval speed.

[0096] The vehicle shift pattern selection device provided in this embodiment of the invention can execute the vehicle shift pattern selection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0097] It is worth noting that the various units and modules included in the above-mentioned vehicle shift pattern selection device are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of the present invention.

[0098] Example 3

[0099] Figure 3 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0100] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0101] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0102] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the vehicle shift pattern selection method.

[0103] In some embodiments, the vehicle shift pattern selection method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the vehicle shift pattern selection method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the vehicle shift pattern selection method by any other suitable means (e.g., by means of firmware).

[0104] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0105] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0106] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0107] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0108] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0109] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0110] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0111] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for selecting vehicle shift patterns, characterized in that, include: Determine the GPF regeneration efficiency value for each preset operating condition range under preset standard cycle conditions; Based on the GPF regeneration charcoal burning efficiency values, select a target operating condition range that meets the charcoal burning efficiency conditions from the preset operating condition ranges. When there are multiple target operating condition intervals, determining the proportion of operating points for different reference shifting rules in each target operating condition interval includes: obtaining each operating point of different reference shifting rules under the preset standard cycle operating condition, and determining the target operating condition interval where each operating point is located; counting the operating points in each target operating condition interval to obtain the number of operating points in each target operating condition interval; and determining the proportion of operating points for different reference shifting rules in each target operating condition interval based on the number of operating points in each target operating condition interval and the total number of all operating points. Based on the percentage of each operating point, the reference shifting rule with the highest percentage of operating points is selected from different reference shifting rules as the target shifting rule with the highest carbon burning efficiency in the active regeneration process.

2. The method according to claim 1, characterized in that, The method further includes: The engine operates under multiple operating conditions within a preset cycle, and the order of these operating conditions is determined. The engine operating points are spliced ​​together according to the stated order to obtain the preset standard cycle operating conditions.

3. The method according to claim 1, characterized in that, The determination of the GPF regeneration charcoal combustion efficiency value for each preset operating condition range under preset standard cyclic operating conditions includes: The cumulative amount of carbon burned and the amount of oil consumed in the regeneration test are determined for each preset working condition interval under the preset standard cycle conditions, and the amount of oil consumed in the non-regeneration test is determined for each preset working condition interval. Based on the fuel consumption in the regeneration test and the fuel consumption in the non-regeneration test for each of the preset operating conditions, the fuel consumption increment for each of the preset operating conditions is obtained. Based on the cumulative amount of carbon burned and the increase in oil consumption in each preset operating condition interval, the GPF regeneration carbon burning efficiency value for each preset operating condition interval under the preset standard cycle operating condition is determined.

4. The method according to claim 1, characterized in that, The step of selecting a target operating condition range that meets the charcoal combustion efficiency conditions from each of the preset operating condition ranges based on the GPF regeneration charcoal combustion efficiency values ​​includes: Based on the GPF regeneration charcoal burning efficiency values, a preset operating condition interval in which the GPF regeneration charcoal burning efficiency value exceeds a preset charcoal burning efficiency threshold is selected from the preset operating condition intervals and used as the target operating condition interval.

5. The method according to claim 1, characterized in that, The method further includes: Acquire process data of the hub test under the preset standard cyclic conditions; Based on the speed and torque in the process data, the engine operating condition range is divided, and the divided engine operating condition range is used as the preset operating condition range.

6. The method according to claim 5, characterized in that, The process of dividing the engine operating condition range based on the speed and torque in the process data includes: The engine operating condition range is divided by preset interval torque and preset interval speed.

7. A vehicle shift pattern selection device, characterized in that, include: The charcoal burning efficiency value determination module is used to determine the GPF regeneration charcoal burning efficiency value in each preset working condition range under preset standard cycle conditions. The target interval determination module is used to select a target operating condition interval that meets the charcoal burning efficiency condition from each of the preset operating condition intervals based on the GPF regeneration charcoal burning efficiency value. The operating condition point percentage determination module is used to determine the operating condition point percentage of different reference shifting rules in each of the target operating condition intervals when there are multiple target operating condition intervals. This includes: acquiring each operating condition point of different reference shifting rules under the preset standard cycle operating condition, and determining the target operating condition interval where each operating condition point is located; statistically analyzing the operating condition points in each target operating condition interval to obtain the number of operating condition points in each target operating condition interval; and determining the operating condition point percentage of different reference shifting rules in each target operating condition interval based on the number of operating condition points in each target operating condition interval and the total number of all operating condition points. The shift pattern selection module is used to select the reference shift pattern with the highest percentage of each operating point from different reference shift patterns based on the percentage of each operating point, and use it as the target shift pattern with the highest carbon burning efficiency in the active regeneration process.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the vehicle shift pattern selection method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the vehicle shifting pattern selection method according to any one of claims 1-6.

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