Vehicle weight estimation control method, device, equipment and medium

Abstract

The present disclosure relates to a vehicle weight estimation control method, device, equipment and medium, and relates to the field of vehicle technology, including: when detecting that the vehicle meets the vehicle weight calculation conditions, obtaining the accumulated vehicle weight calculation times, and adding the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; based on the preset vehicle weight calculation value filtering strategy, obtaining the vehicle weight filtering coefficient corresponding to the current vehicle weight calculation times; obtaining the vehicle's current vehicle weight calculation value, and processing the current vehicle weight calculation value based on the vehicle weight filtering coefficient to obtain the target vehicle calculation value. The above technical solution is adopted to prevent the vehicle weight from changing suddenly due to the abnormal accuracy of the vehicle weight calculation, and through the filtering calculation based on the vehicle weight calculation times, it is ensured that the weight of the traveling vehicle can be stabilized at a more accurate vehicle weight value, and the effectiveness of the vehicle weight for other shifting logics, instrument display, etc. is ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle control technology, and in particular to a vehicle weight estimation control method, device, equipment and medium. Background Art

[0002] At present, there are more and more traditional power or new energy automatic transmission pickup trucks and light trucks, and users are buying more and more. The more cargo a pickup truck, light truck, or heavy truck, pulls, the heavier the load, which will affect the power of the whole vehicle. For example, the empty vehicle weighs 2 tons, and after pulling the cargo, it weighs 7 tons. If the shifting logic of the empty vehicle is followed, the upshift strategy may be switched quickly, but the upshift point is relatively small and can be reached quickly, resulting in insufficient power in the high gear. Therefore, it is necessary to identify the vehicle weight and switch to the corresponding shifting diagram in time to improve the power after loading. Summary of the invention

[0003] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a vehicle weight estimation control method, device, equipment and medium.

[0004] The present disclosure provides a vehicle weight estimation control method, including:

[0005] When it is detected that the vehicle meets the vehicle weight calculation conditions, the accumulated vehicle weight calculation times are obtained, and the accumulated vehicle weight calculation times and the target value are added to obtain the current vehicle weight calculation times; based on a preset vehicle weight calculation value filtering strategy, a vehicle weight filter coefficient corresponding to the current vehicle weight calculation times is obtained; the current vehicle weight calculation value of the vehicle is obtained, and the current vehicle weight calculation value is processed based on the vehicle weight filter coefficient to obtain the target vehicle calculation value.

[0006] Optionally, the vehicle weight estimation control method further includes: when the vehicle speed is 0, the current gear position of the transmission controller TCU is neutral or parking, and the parking switch is on, obtaining the parking time of the vehicle; when the parking time is greater than a first time threshold and less than a second time threshold, setting the accumulated vehicle weight calculation times to 0.

[0007] Optionally, the vehicle weight estimation control method further includes: when the parking time is greater than the second time threshold, setting the accumulated vehicle weight calculation times to 0 and setting the calculated vehicle weight value to 0.

[0008] Optionally, the vehicle weight estimation control method further includes: obtaining the vehicle weight calculation value of the vehicle that is greater than a preset standard vehicle weight value, the number of vehicle weight calculations that is greater than a preset target calculation number, and the vehicle acceleration sensor being in a normal working state, determining the maximum vehicle weight calculation value from all the vehicle weight calculation values ​​and storing it in a storage chip.

[0009] Optionally, the vehicle weight estimation control method further includes: setting the vehicle weight position or calibration flag as a target identifier to clear the maximum vehicle weight calculation value in the storage chip.

[0010] Optionally, the vehicle weight estimation control method further includes: when the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, starting to integrate and calculate the current mileage, obtaining the accumulated mileage and storing it in the storage chip.

[0011] Optionally, the vehicle weight estimation control method further includes: when the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, generating a prompt message and sending it to the vehicle for display.

[0012] The disclosed embodiment also provides a vehicle weight estimation control device, which is applied to a vehicle controller, and the device includes: an acquisition and addition module, which is used to acquire the accumulated vehicle weight calculation times when detecting that the vehicle meets the vehicle weight calculation conditions, and add the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; an acquisition module, which is used to acquire the vehicle weight filter coefficient corresponding to the current vehicle weight calculation times based on a preset vehicle weight calculation value filtering strategy; an acquisition processing module, which is used to acquire the current vehicle weight calculation value of the vehicle, and process the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle calculation value.

[0013] An embodiment of the present disclosure also provides an electronic device, which includes: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the executable instructions to implement the vehicle weight estimation control method provided in the embodiment of the present disclosure.

[0014] The embodiment of the present disclosure further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the vehicle weight estimation control method provided by the embodiment of the present disclosure.

[0015] Compared with the prior art, the technical solution provided by the disclosed embodiment has the following advantages: the vehicle weight estimation control solution provided by the disclosed embodiment, when detecting that the vehicle meets the vehicle weight calculation conditions, obtains the accumulated vehicle weight calculation times, and adds the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; based on the preset vehicle weight calculation value filtering strategy, obtains the vehicle weight filter coefficient corresponding to the current vehicle weight calculation times; obtains the current vehicle weight calculation value of the vehicle, and processes the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle calculation value. The above technical solution is adopted to prevent the vehicle weight from changing suddenly due to the abnormal accuracy of the vehicle weight calculation, and through the filtering calculation based on the vehicle weight calculation times, it is ensured that the vehicle weight can be stabilized at a more accurate vehicle weight value, and the effectiveness of the vehicle weight for other shifting logics, instrument display, etc. is ensured. In addition, the parking process is based on the parking status and parking time. If the parking time is long, it is identified as parking for unloading or loading, and the vehicle weight calculation times are cleared to ensure that the calculated vehicle weight is not untimely or inaccurate due to changes in cargo, or if the parking time is too long, a lot of cargo is unloaded or completely unloaded, or a lot of cargo is loaded. Therefore, the original calculated vehicle weight will be cleared and recalculated to ensure the accuracy of the vehicle weight and prevent the vehicle weight from affecting the related logic of gear shifting and affecting the driving of the entire vehicle due to too large a positive or negative difference in the vehicle weight. The calculated value that exceeds the maximum allowable vehicle weight is stored in the storage chip based on a certain number of calculations (to ensure the validity of the calculation), and the overloaded mileage points are calculated and stored in the storage chip, and the user is prompted to further improve the safety of the entire vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0017] Figure 1 A flow chart of a vehicle weight estimation control method provided by an embodiment of the present disclosure;

[0018] Figure 2 A flow chart of another vehicle weight estimation control method provided by an embodiment of the present disclosure;

[0019] Figure 3 A schematic diagram of the structure of a vehicle weight estimation control device provided by an embodiment of the present disclosure;

[0020] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0021] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0022] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0023] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0024] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0025] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0026] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0027] Specifically, the current vehicle weight calculation logic is generally not very timely, and will be subject to various restrictions during the vehicle's driving process, such as the acceleration of the vehicle in the three directions of XYZ and abnormal fluctuations, the vehicle's driving speed, the driver's throttle, whether the driver steps on the brake pedal, etc. For example, when the driver unloads or loads the vehicle after parking, the vehicle weight changes greatly. In addition, the limit value of the vehicle weight calculation condition cannot be calculated in time, which may cause inaccurate vehicle weight and affect the vehicle's power and weight calculation. Some solutions only calculate the weight of the loaded vehicle, and do not consider the storage of historical overweight vehicle weights, resulting in the vehicle manufacturer bearing the loss of vehicle damage in the case of overloaded vehicles.

[0028] The vehicle weight estimation control method proposed in the disclosed embodiment, when detecting that the vehicle meets the vehicle weight calculation conditions, obtains the accumulated vehicle weight calculation times, and adds the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; based on the preset vehicle weight calculation value filtering strategy, obtains the vehicle weight filter coefficient corresponding to the current vehicle weight calculation times; obtains the current vehicle weight calculation value of the vehicle, and processes the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle calculation value. The above technical solution is adopted to prevent the vehicle weight from changing suddenly due to the abnormal accuracy of the vehicle weight calculation, and through the filtering calculation based on the vehicle weight calculation times, it is ensured that the weight of the traveling vehicle can be stabilized at a more accurate vehicle weight value, and the effectiveness of the vehicle weight for other shifting logics, instrument display, etc. is ensured. In addition, the parking process is based on the parking status and parking time. If the parking time is long, it is identified as parking for unloading or loading, and the vehicle weight calculation times are cleared to ensure that the calculated vehicle weight is not untimely or inaccurate due to changes in cargo, or if the parking time is too long, a lot of cargo is unloaded or completely unloaded, or a lot of cargo is loaded. Therefore, the original calculated vehicle weight will be cleared and recalculated to ensure the accuracy of the vehicle weight and prevent the vehicle weight from affecting the related logic of gear shifting and affecting the driving of the entire vehicle due to too large a positive or negative difference in the vehicle weight. The calculated value that exceeds the maximum allowable vehicle weight is stored in the storage chip based on a certain number of calculations (to ensure the validity of the calculation), and the overloaded mileage points are calculated and stored in the storage chip, and the user is prompted to further improve the safety of the entire vehicle.

[0029] Figure 1 The flowchart of a vehicle weight estimation control method provided by an embodiment of the present disclosure is a schematic diagram. The method can be executed by a vehicle weight estimation control device, wherein the device can be implemented by software and / or hardware and can generally be integrated in an electronic device. Figure 1 As shown, the method includes:

[0030] Step 101: When the vehicle is detected to meet the vehicle weight calculation conditions, the accumulated vehicle weight calculation times are obtained, and the accumulated vehicle weight calculation times and the target value are added to obtain the current vehicle weight calculation times.

[0031] In the disclosed embodiment, the vehicle weight calculation condition can be the acceleration magnitude and abnormal fluctuation of the vehicle in all directions, the vehicle speed, the throttle magnitude of the driver, whether the driver steps on the brake pedal, etc. The vehicle weight calculation condition is usually determined to be satisfied when the vehicle speed is relatively stable or the acceleration magnitude in all directions of the vehicle has no abnormal fluctuation.

[0032] In the disclosed embodiment, when it is detected that the vehicle meets the vehicle weight calculation conditions, the accumulated vehicle weight calculation times are obtained, that is, the number of times the vehicle weight calculation has been performed, and the accumulated vehicle weight calculation times and the target value are added to obtain the current vehicle weight calculation times, where the target value can be set as needed, and is usually set to 1.

[0033] Step 102: Based on a preset vehicle weight calculation value filtering strategy, a vehicle weight filtering coefficient corresponding to the current number of vehicle weight calculations is obtained.

[0034] In the disclosed embodiment, a vehicle weight calculation value filtering strategy is preset, for example, different vehicle weight filtering coefficients are corresponding to different vehicle weight calculation times. Generally, the greater the vehicle weight calculation times, the smaller the vehicle weight filtering coefficient. The vehicle weight calculation times and the vehicle weight filtering coefficient are in a one-to-one correspondence. Therefore, the corresponding vehicle weight filtering coefficient can be matched based on the current vehicle weight calculation times through the vehicle weight calculation value filtering strategy.

[0035] Step 103, obtaining the current vehicle weight calculation value of the vehicle, and processing the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle weight calculation value.

[0036] In the disclosed embodiment, the current vehicle weight calculation value of the vehicle may be acquired according to the existing calculation logic, and the current vehicle weight calculation value may be processed based on the vehicle weight filter coefficient to obtain the target vehicle weight calculation value.

[0037] Specifically, when the vehicle weight calculation conditions are met, or the vehicle weight is calculated once, the vehicle weight calculation conditions meet "VehMessCalcCondOK" and the number of vehicle weight calculations will be accumulated num_MassCalTimesCnt=num_MassCalTimesCnt+1. This number is used for filtering the continuous vehicle weight calculation values ​​in the vehicle weight calculation process to prevent the vehicle weight calculation from suddenly changing to a large or small amount, which will affect the use of the shift map and other logics, and affect the inability to shift up or down gears based on the actual vehicle weight, resulting in the engine speed flying or insufficient power due to shifting too quickly. Therefore, a vehicle weight filtering coefficient based on the number of calculations is set to ensure that the vehicle weight during the current driving process can remain stable without loading or unloading.

[0038] The vehicle weight estimation control scheme provided by the disclosed embodiment obtains the accumulated vehicle weight calculation times when the vehicle meets the vehicle weight calculation conditions, and adds the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; obtains the vehicle weight filter coefficient corresponding to the current vehicle weight calculation times based on the preset vehicle weight calculation value filtering strategy; obtains the current vehicle weight calculation value of the vehicle, and processes the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle calculation value. The above technical scheme is adopted to prevent the vehicle weight from changing suddenly due to the abnormal accuracy of the vehicle weight calculation, and through the filtering calculation based on the vehicle weight calculation times, it is ensured that the weight of the traveling vehicle can be stabilized at a more accurate vehicle weight value, and the effectiveness of the vehicle weight for other shifting logics, instrument display, etc. is ensured.

[0039] It is also understandable that even in extreme cases during normal driving of the vehicle, the vehicle weight does change greatly, for example, a truck is pulling a water tank, and because the water outlet valve switch is not closed tightly, the water in the tank leaks out during driving, and the vehicle weight changes greatly. When calculating the vehicle weight, filtering will be performed based on the filter coefficient, but as the number of calculations increases, the vehicle weight will gradually decrease to ensure the calculation of the real vehicle weight. However, this extreme situation rarely occurs, and even if it does, it can ensure that the calculated vehicle weight of the whole vehicle can be real.

[0040] Figure 2 This is a flow chart of another vehicle weight estimation control method provided by the embodiment of the present disclosure. Based on the above embodiment, this embodiment further optimizes the above vehicle weight estimation control method. Figure 2 As shown, the method also includes:

[0041] Step 201 : Process the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the vehicle weight calculation value of the vehicle.

[0042] Step 202: When the vehicle speed is 0, the current gear position of the transmission controller TCU is neutral or parking, and the parking switch is on, the parking time of the vehicle is obtained.

[0043] Step 203: When the parking time is greater than the first time threshold and less than the second time threshold, the accumulated vehicle weight calculation times are set to 0.

[0044] Step 204: When the parking time is greater than the second time threshold, the accumulated vehicle weight calculation times are set to 0 and the calculated vehicle weight value is set to 0.

[0045] Specifically, for the case where the vehicle stops and then unloads or loads, a detection is performed. The detection method includes: when the vehicle speed is 0; the current gear position of the TCU = N or P gear; the parking switch = 1; if the above three conditions are met, it means that the driver is unloading or loading the vehicle, and the vehicle weight may change greatly. Therefore, the vehicle weight calculation logic is set according to the situation:

[0046] When the VehParkCnt condition is met, it indicates that the vehicle is parked. If the time is greater than the first time threshold, such as 5 minutes, and less than the second time threshold, such as 10 minutes, the vehicle weight calculation times are cleared to 0 (num_MassCalTimesCnt=0). If the amount of parking unloading or loading in a short period of time is not large, then only the vehicle weight calculation times need to be cleared to 0, but the vehicle weight still maintains the original calculated value. In this way, the filtering based on the vehicle weight calculation times will not affect the vehicle weight calculation speed due to the change in vehicle weight after parking for unloading or loading, and the vehicle can be calculated quickly while driving. And the vehicle weight at this time can meet the shift diagram of the original calculated vehicle weight of the vehicle, which can ensure a certain degree of power.

[0047] When the VehParkCnt condition is met, it indicates that the vehicle is parked. If the time is greater than the second time threshold, such as more than 10 minutes, the parking time is long, which means that the vehicle has been unloaded or loaded for a long time, and the load on the vehicle has been unloaded or the compartment is full. Because the vehicle weight changes greatly, in addition to clearing the vehicle weight calculation times to 0 (num_MassCalTimesCnt=0), the original calculated vehicle weight value needs to be reset to the empty vehicle weight. This ensures that the vehicle weight can be quickly restored to the controlled vehicle weight (for example, 3 tons) after the load on the vehicle is unloaded. Then the vehicle weight calculation times are also set to 0, so that the real vehicle weight value can be quickly calculated next time. Generally speaking, long-term parking after loading is unloading, and there is rarely a situation of re-loading. Even so, after the vehicle is driven, because the vehicle weight times have been set to 0, it can be quickly calculated without being affected by the vehicle weight times filtering after meeting the vehicle weight calculation conditions.

[0048] Step 205, the vehicle weight calculation value obtained is greater than the preset standard vehicle weight value, the vehicle weight calculation times are greater than the preset target calculation times, and the vehicle acceleration sensor is in normal working state, and the maximum vehicle weight calculation value is determined from all vehicle weight calculation values ​​and stored in the storage chip.

[0049] Step 206: Set the vehicle weight position or calibration flag as the target mark to clear the maximum vehicle weight calculation value in the storage chip.

[0050] Specifically, the strategy for the memory function of overweight vehicle weight is as follows: calibrate the vehicle's maximum weight value VehMaxMassDistCalcHigh according to the current vehicle's maximum weight, and the calculated vehicle weight value is greater than this value; the number of vehicle weight calculations must be greater than a certain value (standard vehicle weight value) MassCalcTimesForMax=10 times, and confirm that multiple calculated vehicle weight values ​​are all greater than the vehicle's maximum allowable weight value VehMaxMassDistCalcHigh; the vehicle's acceleration sensor has no faults. The acceleration sensor may come from the anti-lock braking system ABS, the electronic stability system ESP, the automatic transmission control unit TCU, the ECU electronic control unit, etc. If the acceleration has faults, the accuracy of the calculated vehicle weight cannot be guaranteed.

[0051] When all three conditions above are met, the maximum value of the calculated vehicle weight and the saved vehicle weight value stored in the storage chip subrom is assigned to somd_m_VehMassEstimatedMax and stored in the subrom again.

[0052] Specifically, the maximum vehicle weight clearing function and vehicle weight calibration function are set. In order to allow calibration engineers to test and calibrate the function, the vehicle weight reset or calibration flag VehMaxMassReset is set. When this value is marked as 1, the historical maximum vehicle weight stored in the subrom is cleared. This function can be used to clear the vehicle weight after the durability problem of the vehicle or parts caused by the vehicle weight is solved. Or when the calibration engineer needs to test the shift logic based on different vehicle weights, he can replace the vehicle weight value required for the test with a different test vehicle weight after the reset flag position is 1, and this value can be marked as VehicleMass_kg.

[0053] Step 207: When the calculated vehicle weight is greater than the standard vehicle weight, start to integrate and calculate the current mileage, obtain the accumulated mileage and store it in the storage chip.

[0054] Step 208: When the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, a prompt message is generated and sent to the vehicle for display.

[0055] Specifically, the mileage calculation strategy and storage after vehicle weight overload: when the currently calculated vehicle weight exceeds the maximum allowable vehicle weight value VehMaxMassDistCalcHigh, the mileage is calculated and accumulated and stored in the subrom.

[0056] Specifically, the calculation condition is that the vehicle speed is valid, whether it is calculated by ABS or TCU based on the output shaft speed. If it is invalid, the mileage will not be calculated.

[0057] Specifically, first, according to the trigger condition, whether the calculated vehicle weight exceeds the maximum allowable vehicle weight value VehMaxMassDistCalcHigh is determined. If the condition is met, the current mileage is calculated by integration, and the mileage calculated by integration is added to the accumulated overweight mileage somd_l_VehMaxMassDistance stored in the subrom.

[0058] Specifically, when the calculated vehicle weight is greater than the standard vehicle weight, an overweight prompt message may be generated in the vehicle to prompt the driver, thereby further improving the safety of the entire vehicle.

[0059] Therefore, in order to prevent the vehicle weight from changing suddenly due to the abnormal accuracy of vehicle weight calculation, a filtering calculation based on the number of vehicle weight calculations is designed to ensure that the vehicle weight can be stabilized at a relatively accurate value, and to ensure the effectiveness of the vehicle weight for other shifting logics, instrument displays, etc.; during the parking process, according to the parking state and parking time, when the parking time is long, it is identified as parking for unloading or loading, and the number of vehicle weight calculations is cleared to ensure that the calculated vehicle weight is not untimely or inaccurate due to changes in cargo, or after the parking time is too long, the unloading is more or completely unloaded, or the loading is more, so the original calculated vehicle weight will be cleared and the vehicle weight will be recalculated to ensure the accuracy of the vehicle weight, and to prevent the vehicle weight from affecting the relevant logic of shifting and affecting the driving of the whole vehicle due to the large positive or negative difference of the vehicle weight; a memory function for vehicle weight overload is set, and the calculated value exceeding the maximum allowable vehicle weight is stored in Subrom according to a certain number of calculations (to ensure the effectiveness of the calculation), etc., to prevent damage to the vehicle or parts due to overloading, and the overloaded mileage points are calculated and stored in Subrom; and a prompt message is generated for display to further improve the safety of the whole vehicle.

[0060] Figure 3 This is a schematic diagram of the structure of a vehicle weight estimation control device provided by an embodiment of the present disclosure. The device can be implemented by software and / or hardware and can generally be integrated into an electronic device. Figure 3 As shown, the device comprises:

[0061] The acquisition and addition module 301 is used to acquire the accumulated vehicle weight calculation times when the vehicle meets the vehicle weight calculation conditions, and add the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times;

[0062] An acquisition module 302 is used to acquire a vehicle weight filtering coefficient corresponding to the current vehicle weight calculation times based on a preset vehicle weight calculation value filtering strategy;

[0063] The acquisition processing module 303 is used to acquire the current vehicle weight calculation value of the vehicle, and process the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain the target vehicle calculation value.

[0064] Optionally, the vehicle weight estimation control device also includes: an acquisition reset module, which is used to obtain the parking time of the vehicle when the vehicle speed is 0, the current gear position of the transmission controller TCU is neutral or parking, and the parking switch is on; when the parking time is greater than the first time threshold and less than the second time threshold, the accumulated vehicle weight calculation times are set to 0.

[0065] Optionally, the vehicle weight estimation control device further includes: a setting module, used to set the accumulated vehicle weight calculation times to 0 and the calculated vehicle weight value to 0 when the parking time is greater than the second time threshold.

[0066] Optionally, the vehicle weight estimation control device also includes: an acquisition storage module, used to obtain the vehicle weight calculation value of the vehicle is greater than a preset standard vehicle weight value, the number of vehicle weight calculations is greater than a preset target calculation number, and the vehicle acceleration sensor is in a normal working state, determine the maximum vehicle weight calculation value from all the vehicle weight calculation values ​​and store it in the storage chip.

[0067] Optionally, the vehicle weight estimation control device further includes: an identification setting module, which is used to set the vehicle weight position or calibration flag as a target mark to clear the maximum vehicle weight calculation value in the storage chip.

[0068] Optionally, the vehicle weight estimation control device and the method further include: a mileage storage module, which is used to start integrating the current mileage when the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, to obtain the accumulated mileage and store it in the storage chip.

[0069] Optionally, the vehicle weight estimation control device and the method further include: a generation module, which is used to generate a prompt message and send it to the vehicle for display when the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value.

[0070] The vehicle weight estimation control device provided in the embodiments of the present disclosure can execute the vehicle weight estimation control method provided in any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.

[0071] The embodiments of the present disclosure also provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the vehicle weight estimation control method provided by any embodiment of the present disclosure.

[0072] Figure 4 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Figure 4, which shows a schematic diagram of the structure of an electronic device 400 suitable for implementing the embodiment of the present disclosure. The electronic device 400 in the embodiment of the present disclosure may include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0073] like Figure 4 As shown, the electronic device 400 may include a processing device 401 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in ROM 402 (ROM is a read-only memory) or the program loaded from the storage device 408 to RAM 403 (RAM is a random access memory). In RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The processing device 401, ROM 402 and RAM 403 are connected to each other through a bus 404. An I / O interface 405 (I / O is input / output) is also connected to the bus 404.

[0074] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 408 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4 The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0075] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 409, or installed from the storage device 408, or installed from the ROM 402. When the computer program is executed by the processing device 401, the above-mentioned functions defined in the vehicle weight estimation control method of the embodiment of the present disclosure are executed.

[0076] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0077] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0078] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0079] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: receives high-voltage interlock fault information sent by the battery management system BMS, and determines that the BMS target high-voltage interlock circuit has a fault based on the high-voltage interlock fault information, obtains the current vehicle speed and current gear of the vehicle, and when the current vehicle speed is greater than a preset vehicle speed threshold, controls the vehicle to perform a downshift operation according to the shift map based on the current gear, until the current vehicle speed is reduced to 0 and controls the gear of the vehicle to switch to neutral, and when the vehicle continues to be in neutral, sends an oil pressure control instruction to the high-voltage and / or lubricating oil pump to instruct the high-voltage and / or lubricating oil pump to maintain the oil pressure at the lowest gear, controls the vehicle to perform a downshift operation after the high-voltage electrical processing, and sends a main oil pressure control instruction to the hybrid-specific transmission DHT to instruct the DHT to maintain the gear shift at the lowest main oil pressure.

[0080] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0081] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0082] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0083] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0084] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0085] According to one or more embodiments of the present disclosure, the present disclosure provides an electronic device, including:

[0086] processor;

[0087] a memory for storing instructions executable by the processor;

[0088] The processor is used to read the executable instructions from the memory and execute the executable instructions to implement any vehicle weight estimation control method provided in the present disclosure.

[0089] According to one or more embodiments of the present disclosure, the present disclosure provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute any vehicle weight estimation control method as provided in the present disclosure.

[0090] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0091] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0092] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A vehicle weight estimation control method, characterized in that: include: When the detected vehicle meets the vehicle weight calculation condition, the accumulated vehicle weight calculation times are obtained, and the accumulated vehicle weight calculation times and the target value are added to obtain the current vehicle weight calculation times; Based on a preset vehicle weight calculation value filtering strategy, a vehicle weight filtering coefficient corresponding to the current vehicle weight calculation times is obtained; wherein the greater the current vehicle weight calculation times, the smaller the vehicle weight filtering coefficient is, and the current vehicle weight calculation times and the vehicle weight filtering coefficient are in a one-to-one correspondence; Obtaining a current vehicle weight calculation value of the vehicle, and processing the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain a target vehicle weight calculation value; When the vehicle speed is 0, the current gear position of the transmission controller TCU is neutral or parking, and the parking switch is in the on state, obtaining the parking time of the vehicle; When the parking time is greater than the first time threshold and less than the second time threshold, the accumulated vehicle weight calculation times is set to 0; When the parking time is greater than the second time threshold, the accumulated vehicle weight calculation times is set to 0 and the calculated vehicle weight value is set to 0.

2. The vehicle weight estimation control method according to claim 1, characterized in that: Also includes: The vehicle weight calculation value obtained is greater than a preset standard vehicle weight value, the number of vehicle weight calculations is greater than a preset target calculation number, and the vehicle acceleration sensor is in a normal working state, and the maximum vehicle weight calculation value is determined from all the vehicle weight calculation values ​​and stored in a storage chip.

3. The vehicle weight estimation control method according to claim 2, characterized in that: Also includes: The vehicle weight position or the calibration flag is set as a target mark to clear the maximum vehicle weight calculation value in the storage chip.

4. The vehicle weight estimation control method according to claim 2, characterized in that: The method further comprises: When the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, the current mileage is calculated by integration to obtain the accumulated mileage and store it in the storage chip.

5. The vehicle weight estimation control method according to claim 4, characterized in that: The method further comprises: When the calculated vehicle weight value of the vehicle is greater than the standard vehicle weight value, a prompt message is generated and sent to the vehicle for display.

6. A vehicle weight estimation control device, characterized in that: Applied to vehicle controllers, including: An acquisition and addition module is used to acquire the accumulated vehicle weight calculation times when the vehicle meets the vehicle weight calculation conditions, and add the accumulated vehicle weight calculation times and the target value to obtain the current vehicle weight calculation times; an acquisition module, configured to acquire a vehicle weight filter coefficient corresponding to the current vehicle weight calculation times based on a preset vehicle weight calculation value filtering strategy; wherein the greater the current vehicle weight calculation times, the smaller the vehicle weight filter coefficient, and the current vehicle weight calculation times and the vehicle weight filter coefficient are in a one-to-one correspondence; An acquisition processing module, used for acquiring a current vehicle weight calculation value of the vehicle, and processing the current vehicle weight calculation value based on the vehicle weight filter coefficient to obtain a target vehicle weight calculation value; an acquisition and reset module, configured to acquire the parking time of the vehicle when the vehicle speed is 0, the current gear position of the transmission controller TCU is neutral or parking, and the parking switch is in the on state, and when the parking time is greater than a first time threshold and less than a second time threshold, set the accumulated vehicle weight calculation times to 0; A setting module is used to set the accumulated vehicle weight calculation times to 0 and the calculated vehicle weight value to 0 when the parking time is greater than the second time threshold.

7. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the vehicle weight estimation control method described in any one of claims 1-5 above.

8. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the vehicle weight estimation control method described in any one of claims 1-5.

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