Method, device and equipment for detecting vehicle off-line and storage medium

Abstract

The application discloses a vehicle offline detection method, device, equipment and storage medium, and belongs to the technical field of vehicle control. The method comprises the following steps: acquiring the gearbox oil temperature of a vehicle and the shutdown time length of the vehicle based on the fact that the ignition switch of the vehicle is in an open state; acquiring the ambient temperature of the vehicle; determining that the vehicle is in a cold state based on the fact that the difference between the gearbox oil temperature and the ambient temperature of the vehicle is within a reference range and the shutdown time length is greater than a first reference time length; and detecting the pre-charge self-learning value of the gearbox corresponding to the cold state and the half-combination point KP self-learning value based on the fact that the vehicle is in the cold state, wherein the pre-charge self-learning value is the pre-charge pressure value of the gearbox, and the half-combination point KP self-learning value is the KP point pressure value of the gearbox. By detecting the pre-charge self-learning value and the KP self-learning value of the vehicle when the vehicle is in the cold state, the accuracy of the pre-charge self-learning value and the KP self-learning value obtained in the cold state is ensured, so that precise control of the hydraulic response of the vehicle is realized.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of vehicle control, in particular to a vehicle off-line detection method, device, equipment and storage medium. BACKGROUND

[0002] Before the vehicle is completed off-line, the vehicle needs to be detected, including detecting the pre-charge self-learning value and the KP (Kiss Point, half combination point) self-learning value of the vehicle, wherein the pre-charge self-learning value is the pre-charge pressure value of the gearbox, and the KP self-learning value is the KP point pressure value of the gearbox. Based on the pre-charge self-learning value and the KP self-learning value, the hydraulic response of the vehicle is accurately controlled to ensure the shift quality of the vehicle. The shift quality is the ability of the transmission to quickly, smoothly, without abnormal sound and without jerk to complete the shift when the vehicle is driving. SUMMARY

[0003] Embodiments of the present application provide a vehicle off-line detection method, device, equipment and storage medium, which can be used to detect the pre-charge self-learning value and the KP self-learning value of the vehicle. The technical solution is as follows:

[0004] On the one hand, the present application provides a vehicle off-line detection method, which comprises:

[0005] Based on the ignition switch of the vehicle being in an open state, the gearbox oil temperature of the vehicle and the shutdown time length of the vehicle are obtained, and the shutdown time length is the time interval from the last time the ignition switch of the vehicle is closed to the current time it is opened.

[0006] The temperature of the environment where the vehicle is located is obtained.

[0007] Based on the difference between the gearbox oil temperature and the temperature of the environment where the vehicle is located being within a reference range and the shutdown time length being greater than a first reference time length, it is determined that the vehicle is in a cold state.

[0008] Based on the vehicle being in a cold state, the pre-charge self-learning value and the half combination point KP self-learning value of the gearbox corresponding to the cold state are detected, the pre-charge self-learning value is the pre-charge pressure value of the gearbox, and the KP self-learning value is the KP point pressure value of the gearbox.

[0009] On the other hand, a vehicle off-line detection device is provided, which comprises:

[0010] The first obtaining module is configured to obtain the gearbox oil temperature of the vehicle and the shutdown time length of the vehicle based on the ignition switch of the vehicle being in an open state, and the shutdown time length is the time interval from the last time the ignition switch of the vehicle is closed to the current time it is opened.

[0011] The second acquisition module is configured to acquire an ambient temperature of the vehicle;

[0012] The first determination module is configured to determine that the vehicle is in a cold state based on the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle being within a reference range and the shutdown duration being greater than a first reference duration.

[0013] The detection module is configured to detect a pre-charge self-learning value and a half-combination point KP self-learning value of the gearbox corresponding to the cold state based on the vehicle being in the cold state, the pre-charge self-learning value being a pre-charge pressure value of the gearbox, and the KP self-learning value being a KP point pressure value of the gearbox.

[0014] In another aspect, a computer device is provided, which includes a processor and a memory, and the memory stores at least one computer program, which is loaded and executed by the processor to enable the computer device to implement the vehicle offline detection method described above.

[0015] In another aspect, a computer readable storage medium is also provided, which stores at least one computer program, which is loaded and executed by a processor to enable a computer to implement the vehicle offline detection method described above.

[0016] In another aspect, a computer program product or computer program is also provided, which includes computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the computer device to implement the vehicle offline detection method described above.

[0017] The technical solutions provided by the embodiments of the present application bring at least the following beneficial effects:

[0018] The present application determines that the vehicle is in a cold state based on the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle being within a reference range and the shutdown duration being greater than a first reference duration, and accurately judges the cold state of the vehicle. In the case that the vehicle is in a cold state, the pre-charge self-learning value and the KP self-learning value corresponding to the cold state are detected, so as to accurately control the hydraulic response of the vehicle in the cold state. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort based on these drawings.

[0020] Figure 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application;

[0021] Figure 2 is a flow chart of a vehicle offline detection method provided by an embodiment of the present application;

[0022] Figure 3 is an application logic diagram of a vehicle offline detection provided by an embodiment of the present application;

[0023] Figure 4 is an algorithm logic diagram of a vehicle offline detection provided by an embodiment of the present application;

[0024] Figure 5 is a schematic diagram of an implementation manner of a vehicle offline detection provided by an embodiment of the present application;

[0025] Figure 6 is a structural schematic diagram of a device for vehicle offline detection provided by an embodiment of the present application;

[0026] Figure 7 is a structural schematic diagram of a server provided by an embodiment of the present application;

[0027] Figure 8 is a structural schematic diagram of a device for vehicle offline detection provided by an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail with reference to the drawings.

[0029] The present application provides a vehicle offline detection method, please refer to Figure 1 , which shows a schematic diagram of a method implementation environment provided by an embodiment of the present application. The implementation environment can include a vehicle 11 and an automatic transmission control unit 12, wherein the automatic transmission control unit 12 is located on the vehicle 11.

[0030] Optionally, based on the ignition switch of the vehicle 11 being in an open state, the automatic transmission control unit 12 acquires the transmission oil temperature of the vehicle 11 and the shutdown duration of the vehicle 11, the shutdown duration being the time interval from the last time the ignition switch of the vehicle 11 is closed to the current time when the ignition switch is opened; the automatic transmission control unit 12 acquires the ambient temperature of the vehicle 11; based on the difference between the transmission oil temperature and the ambient temperature of the vehicle 11 being within a reference range and the shutdown duration being greater than a first reference duration, the automatic transmission control unit 12 determines that the vehicle 11 is in a cold state; based on the vehicle 11 being in the cold state, the automatic transmission control unit 12 detects the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the cold state, the pre-charge self-learning value being the pre-charge pressure value of the transmission, and the KP self-learning value being the KP point pressure value of the transmission.

[0031] The automatic transmission control unit 12 can store the transmission oil temperature of the vehicle 11 and the shutdown duration of the vehicle 11, for determining whether the vehicle is in a cold state. The automatic transmission control unit 12 can also store the pre-charge self-learning value and the KP self-learning value of the transmission of the vehicle 11, for controlling the hydraulic response of the vehicle. Optionally, the vehicle 11 and the automatic transmission control unit 12 are communicatively connected through a wired or wireless network.

[0032] Based on the above Figure 1 The embodiment of the present application provides a vehicle offline detection method, and a flowchart of the method is shown in FIG. 8. The method is taken as an example of being applied to an automatic transmission control unit, and the method includes steps 201-204. Figure 2

[0033] In step 201, based on the ignition switch of the vehicle being in an open state, the transmission oil temperature of the vehicle and the shutdown duration of the vehicle are acquired, the shutdown duration being the time interval from the last time the ignition switch of the vehicle is closed to the current time when the ignition switch is opened.

[0034] In a possible implementation, the manner of acquiring the state of the ignition switch of the vehicle includes but is not limited to: the automatic transmission control unit acquires the gear information of the ignition switch through a bus. When the gear information of the ignition switch is in an ON gear, the ignition switch is in an open state; when the gear information of the ignition switch is in an OFF gear, the ignition switch is in a closed state. Illustratively, the type of the bus through which the automatic transmission control unit acquires the gear information of the ignition switch can be a CAN (Controller Area Network) bus.

[0035] ​Exemplarily, after determining that the ignition switch of the vehicle is in the on state, the transmission oil temperature of the vehicle and the shutdown duration of the vehicle are acquired. The transmission oil temperature of the vehicle is acquired by detecting the transmission oil temperature of the vehicle through a temperature sensor installed on the vehicle, wherein the temperature sensor is installed in the transmission of the vehicle to detect the transmission oil temperature of the vehicle. Exemplarily, the transmission oil temperature of the vehicle can also be acquired from the central control system of the vehicle. The automatic transmission control unit communicates with the central control system of the vehicle through CAN, and the central control system of the vehicle detects and stores the information of the vehicle including the transmission oil temperature of the vehicle, time, mileage and driving duration.

[0036] In a possible implementation, the shutdown duration is the time interval from the last time the ignition switch of the vehicle is turned off to the current time when the ignition switch is turned on, and the shutdown duration of the vehicle is acquired by storing the time when the ignition switch is turned off and turned on, reading the time when the ignition switch of the vehicle is last turned off, calculating the time interval from the last time the ignition switch of the vehicle is turned off to the current time when the ignition switch is turned on, and taking the time interval as the shutdown duration of the vehicle.

[0037] In step 202, the ambient temperature of the vehicle is acquired.

[0038] The embodiments of the present application do not limit the way of acquiring the ambient temperature of the vehicle, for example, the ambient temperature of the vehicle can be detected by a temperature sensor installed on the vehicle. Exemplarily, the temperature sensor is installed on the outside of the vehicle to detect the ambient temperature of the outside of the vehicle as the ambient temperature of the vehicle.

[0039] The present application detects the ambient temperature of the outside of the vehicle instead of the ambient temperature of the inside of the vehicle to ensure the accuracy of the detected temperature and is not affected by the air conditioner in the vehicle and the body temperature of the passenger.

[0040] In step 203, based on the difference between the transmission oil temperature and the ambient temperature of the vehicle being within the reference range and the shutdown duration being greater than the first reference duration, it is determined that the vehicle is in the cold state.

[0041] In a possible implementation, the difference between the transmission oil temperature and the ambient temperature of the vehicle is acquired, if the difference is within the reference range, the shutdown duration of the vehicle is compared with the first reference duration, and if the shutdown duration is greater than the first reference duration, it is determined that the vehicle is in the cold state. Exemplarily, the shutdown duration of the vehicle can also be compared with the first reference duration first, if the shutdown duration is greater than the first reference duration, the difference between the transmission oil temperature and the ambient temperature of the vehicle is acquired, if the difference is within the reference range, it is determined that the vehicle is in the cold state.

[0042] The reference range is not limited by the embodiments of the present application, and exemplarily can be a range of -3 to 3. The reference range can be adjusted according to actual conditions. The first reference time length is not limited by the embodiments of the present application, and can be set as 6 hours. The stop time length can be adjusted according to actual conditions.

[0043] By setting the reference range as a range containing positive and negative values, it is ensured that both the case that the gearbox oil temperature is less than the ambient temperature of the vehicle and the case that the gearbox oil temperature is greater than the ambient temperature of the vehicle are included.

[0044] The vehicle is determined to be in the cold state by the difference between the gearbox oil temperature and the ambient temperature of the vehicle being within the reference range and the stop time length of the vehicle being greater than the first reference time length. Because the vehicle enters the cold state only when the stop time length is greater than a certain time length, that is, the first reference time length. In the cold state, the oil of the gearbox is not stirred, and the temperature difference between the oil and the ambient temperature of the vehicle is small, that is, the difference between the gearbox oil temperature and the ambient temperature of the vehicle is within the reference range.

[0045] In step 204, based on the vehicle being in the cold state, the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state are detected. The pre-charge self-learning value is the pre-charge pressure value of the gearbox, and the KP self-learning value is the KP point pressure value of the gearbox.

[0046] In a possible implementation, the pre-charge self-learning value is the pre-charge pressure value of the gearbox, and the KP self-learning value is the KP point pressure value of the gearbox. After it is determined that the vehicle is in the cold state, the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state are detected, including: detecting the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the normal state; correcting the pre-charge self-learning value and the KP self-learning value of the normal gearbox based on the cold state parameter, taking the corrected pre-charge self-learning value as the pre-charge self-learning value corresponding to the cold state, and taking the corrected KP self-learning value as the KP self-learning value corresponding to the cold state.

[0047] In a possible implementation, based on the time length of the vehicle being in the cold state being greater than the second reference time length, it is determined that the static viscosity of the oil of the vehicle decreases to the viscosity corresponding to the normal state; based on the static viscosity of the oil decreasing to the viscosity corresponding to the normal state, it is determined that the vehicle is in the normal state.

[0048] Exemplarily, the way of obtaining the second reference time length includes but is not limited to: obtaining the average speed of the vehicle; determining the second reference time length required for the static viscosity of the oil to decrease to the viscosity corresponding to the normal state based on the average speed of the vehicle. The average speed is positively correlated with the second reference time length.

[0049] Exemplarily, the average speed of the vehicle is obtained by: obtaining a driving distance of the vehicle and a driving time of the vehicle; and dividing the driving distance by the driving time to obtain the average speed of the vehicle. In a possible implementation, the automatic transmission control unit obtains the driving distance of the vehicle and the driving time of the vehicle from the central control system of the vehicle through CAN, and divides the obtained driving distance of the vehicle by the driving time of the vehicle to obtain the average speed of the vehicle.

[0050] Optionally, after the average speed of the vehicle is determined, the second reference time length required for the static viscosity of the oil to decrease to the viscosity corresponding to the normal state can be determined based on experiments. The viscosity corresponding to the normal state is not limited in the embodiments of the application, and can be determined based on experiments or adjusted according to actual conditions.

[0051] In a possible implementation, after the second reference time length is determined, the time length during which the vehicle is in the cold state is obtained by: the automatic transmission control unit can obtain the time when the vehicle enters the cold state from the central control system of the vehicle through CAN and store the time, and take a time interval between the time when the vehicle enters the cold state and the current time as the time length during which the vehicle is in the cold state. Exemplarily, after the time length during which the vehicle is in the cold state is determined, the time length during which the vehicle is in the cold state is compared with the second reference time length, and if the time length during which the vehicle is in the cold state is greater than the second reference time length, it is determined that the vehicle exits the cold state, that is, the vehicle is in the normal state.

[0052] Exemplarily, the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the normal state are detected by: performing EOL (End Of Line, vehicle off-line process) detection on the vehicle when the vehicle is in the normal state to obtain the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the normal state.

[0053] The cold state parameter is not limited in the embodiments of the application, and exemplarily, the cold state parameter is determined by: performing EOL (End Of Line, vehicle off-line process) detection on the vehicle when the vehicle is in the cold state, subtracting the pre-charge self-learning value corresponding to the normal state from the detected pre-charge self-learning value to obtain the cold state parameter of the pre-charge self-learning value, and subtracting the KP self-learning value corresponding to the normal state from the detected KP self-learning value to obtain the cold state parameter of the KP self-learning value.

[0054] Optionally, after determining the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state, the hydraulic response of the vehicle is controlled based on the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state, including: adjusting the hydraulic inherent frequency and the hydraulic damping ratio of the hydraulic system based on the pre-charge pressure value and the KP point pressure value corresponding to the cold state, calculating the open-loop transfer function of the hydraulic system based on the hydraulic inherent frequency and the hydraulic damping ratio, and controlling the response of the hydraulic system based on the open-loop transfer function of the hydraulic system. The hydraulic response of the vehicle is the response speed and accuracy of the hydraulic system of the vehicle based on the driver's operation, and the pre-charge self-learning value and the KP self-learning value are parameters of the hydraulic system.

[0055] By inputting the pre-charge self-learning value and the KP self-learning value corresponding to the cold state into the hydraulic system of the vehicle, the hydraulic response of the vehicle is adjusted, so that when the vehicle is in the cold state, the response of the hydraulic system meets the requirements of the cold state, thereby making the hydraulic response more accurate and rapid, and enabling the transmission to complete the gear shifting more quickly, smoothly, without abnormal sound and jerk, and more quickly and accurately reacting to the driver's behavior, thereby ensuring the gear shifting quality of the vehicle.

[0056] Optionally, after determining the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state, the hydraulic response of the vehicle is controlled based on the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state, including: adjusting the pressure of the hydraulic system based on the pre-charge pressure value and the KP point pressure value corresponding to the cold state.

[0057] The hydraulic response of the vehicle is adjusted by the pre-charge self-learning value and the KP self-learning value corresponding to the cold state, so that when the vehicle is in the cold state, it meets the requirements of the cold state, thereby making the hydraulic response more accurate and rapid, and ensuring the gear shifting quality of the vehicle. The normal state can also be called the hot state.

[0058] Exemplarily, in the application logic diagram for vehicle off-line detection shown in the embodiment of the present application, Figure 3 In the application logic diagram for vehicle off-line detection provided by the embodiment of the present application shown in the figure, it can be seen intuitively that after the ignition switch is turned on, whether the gearbox of the vehicle is in the cold state is judged based on the ambient temperature and the shutdown time of the vehicle. When the gearbox of the vehicle is in the cold state, the pre-charge self-learning value and the KP self-learning value corresponding to the cold state are detected; when the cold state of the gearbox of the vehicle ends, the pre-charge self-learning value and the KP self-learning value corresponding to the normal state are detected.

[0059] In combination with the above method process, in the application logic diagram for vehicle off-line detection shown in the figure, Figure 4The algorithm logic diagram for vehicle offline detection provided by the embodiment of the application is taken as an example for illustration. The ignition switch of the vehicle is turned on 401, and it is judged whether the difference between the transmission oil temperature and the ambient temperature of the vehicle is within a reference range and whether the shutdown duration is greater than a first reference duration 402. If the difference between the transmission oil temperature and the ambient temperature of the vehicle is within the reference range and the shutdown duration is greater than the first reference duration, it is determined that the vehicle is in a cold state 403.

[0060] If the difference between the transmission oil temperature and the ambient temperature of the vehicle is not within the reference range or the shutdown duration is less than or equal to the first reference duration, the vehicle exits the cold state 406. After the vehicle is in the cold state, the duration of the vehicle in the cold state is timed by a timer 404, and it is judged whether the duration of the vehicle in the cold state is greater than a second reference duration 405. If the duration of the vehicle in the cold state is greater than the second reference duration, the vehicle exits the cold state 406. If the duration of the vehicle in the cold state is less than or equal to the second reference duration, it is determined that the vehicle is in the cold state 403.

[0061] In combination with the above method process, the vehicle offline detection is implemented by the following steps. Figure 5 The implementation manner schematic diagram for vehicle offline detection provided by the embodiment of the application is taken as an example for illustration. The state of the ignition switch, the driving mileage and the transmission oil temperature are collected by the TCU (Transmission-Control-Unit, automatic transmission control unit) basic software 504, and then the collected state of the ignition switch, the driving mileage and the transmission oil temperature are transmitted to the recognition algorithm 501 for vehicle offline detection through the TCU control model 503. The recognition algorithm 501 for vehicle offline detection outputs the pre-charge self-learning value and the KP self-learning value to control the hydraulic control model 502.

[0062] The embodiment of the application determines that the vehicle is in the cold state by the difference between the transmission oil temperature and the ambient temperature of the vehicle being within the reference range and the shutdown duration being greater than the first reference duration, and accurately judges the cold state of the vehicle. In the case that the vehicle is in the cold state, the pre-charge self-learning value and the KP self-learning value corresponding to the cold state are detected, so as to accurately control the hydraulic response of the vehicle in the cold state.

[0063] The second reference duration is determined by the average speed of the vehicle, and when the duration of the vehicle in the cold state is greater than the second reference duration, it is determined that the vehicle exits the cold state and enters a normal state, and the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the normal state are detected, so as to accurately control the hydraulic response of the vehicle in the normal state.

[0064] Referring to Figure 6 The embodiment of the application provides a device for vehicle offline detection, which comprises:

[0065] The first acquisition module 601 is configured to acquire the oil temperature of the gearbox of the vehicle and the shutdown duration of the vehicle based on the ignition switch of the vehicle being in the open state, the shutdown duration being a time interval from the last time the ignition switch of the vehicle is closed to the current time when the ignition switch is opened.

[0066] The second acquisition module 602 is configured to acquire the ambient temperature of the vehicle.

[0067] The first determination module 603 is configured to determine that the vehicle is in the cold state based on the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle being within a reference range and the shutdown duration being greater than a first reference duration.

[0068] The detection module 604 is configured to detect the pre-charge self-learning value and the half-combination point KP self-learning value of the gearbox corresponding to the cold state based on the vehicle being in the cold state, the pre-charge self-learning value being a pre-charge pressure value of the gearbox, and the KP self-learning value being a KP point pressure value of the gearbox.

[0069] In a possible implementation, the detection module 604 is configured to detect the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the normal state, and correct the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the normal state based on the cold state parameter, the corrected pre-charge self-learning value being taken as the pre-charge self-learning value corresponding to the cold state, and the corrected KP self-learning value being taken as the KP self-learning value corresponding to the cold state.

[0070] In a possible implementation, the first determination module 603 is further configured to determine that the static viscosity of the oil of the vehicle decreases to the viscosity corresponding to the normal state based on the duration of the vehicle being in the cold state being greater than a second reference duration, and determine that the vehicle is in the normal state based on the static viscosity of the oil decreasing to the viscosity corresponding to the normal state.

[0071] In a possible implementation, the apparatus further includes a third acquisition module configured to acquire the average speed of the vehicle, and a second determination module configured to determine the second reference duration required for the static viscosity of the oil to decrease to the viscosity corresponding to the normal state based on the average speed of the vehicle, the average speed being positively correlated with the second reference duration.

[0072] In a possible implementation, the detection module 604 is further configured to control the hydraulic response of the vehicle based on the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state.

[0073] The apparatus determines that the vehicle is in the cold state based on the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle being within a reference range and the shutdown duration being greater than a first reference duration, and accurately judges the cold state of the vehicle. In the case that the vehicle is in the cold state, the pre-charge self-learning value and the KP self-learning value corresponding to the cold state are detected, so that the hydraulic response of the vehicle is accurately controlled in the cold state.

[0074] The reference duration is determined by the average speed of the vehicle, and when the duration of the cold state of the vehicle is greater than the reference duration, it is determined that the vehicle exits the cold state and enters the normal state, the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the normal state are detected, so as to accurately control the hydraulic response of the vehicle in the normal state.

[0075] It should be noted that the device provided in the above embodiment is only exemplified by the above division of functional modules when realizing its functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be described here.

[0076] Figure 7 A structure schematic diagram of a server provided by an embodiment of the present application, the server can be greatly different due to different configurations or performances, and can include one or more processors 901 and one or more memories 902, wherein the one or more memories 902 store at least one computer program, the at least one computer program is loaded and executed by the one or more processors 901, so that the server implements the vehicle offline detection method provided by each method embodiment described above. Of course, the server can also have a wired or wireless network interface, a keyboard, and an input and output interface, and other components for realizing the functions of the device, so as to perform input and output, and the server can also include other components for realizing the functions of the device, which will not be described here.

[0077] Figure 8 A device structure schematic diagram of vehicle offline detection provided by an embodiment of the present application. The device can be a terminal, for example, it can be: a vehicle-mounted system, a smart phone, a tablet computer, a player, a notebook computer or a desktop computer. The terminal can also be referred to as user equipment, a portable terminal, a laptop terminal, a desktop terminal, and other names.

[0078] Generally, the terminal includes a processor 1501 and a memory 1502.

[0079] The processor 1501 can include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 1501 can be implemented in at least one of a hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), a PLA (Programmable Logic Array). The processor 1501 can also include a main processor and a coprocessor, the main processor being a processor for processing data in an awake state, also known as a CPU (Central Processing Unit), and the coprocessor being a low-power processor for processing data in a standby state. In some embodiments, the processor 1501 can be integrated with a GPU (Graphics Processing Unit) for rendering and drawing content required to be displayed by the display screen. In some embodiments, the processor 1501 can also include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

[0080] The memory 1502 can include one or more computer-readable storage media that can be non-transitory. The memory 1502 can also include a high-speed random access memory, and a nonvolatile memory such as one or more disk storage devices, flash storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 1502 is used to store at least one instruction for being executed by the processor 1501 to enable the terminal to implement the method of vehicle offline detection provided by the method embodiment of the present application.

[0081] In some embodiments, the terminal can also optionally include a peripheral device interface 1503 and at least one peripheral device. The processor 1501, the memory 1502, and the peripheral device interface 1503 can be connected through a bus or a signal line. Each peripheral device can be connected to the peripheral device interface 1503 through a bus, a signal line, or a circuit board. Specifically, the peripheral device includes at least one of a radio frequency circuit 1504, a display screen 1505, a camera assembly 1506, an audio circuit 1507, and a power supply 1508.

[0082] The peripheral interface 1503 can be used to connect at least one I / O (Input / Output) related peripheral device to the processor 1501 and the memory 1502. In some embodiments, the processor 1501, the memory 1502 and the peripheral interface 1503 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1501, the memory 1502 and the peripheral interface 1503 can be implemented on a separate chip or circuit board, and the present embodiments are not limited in this regard.

[0083] The radio frequency circuit 1504 is configured to receive and send RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 1504 communicates with communication networks and other communication devices through electromagnetic signals. The radio frequency circuit 1504 converts electrical signals into electromagnetic signals for transmission, or converts electromagnetic signals received into electrical signals. Optionally, the radio frequency circuit 1504 includes an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and the like. The radio frequency circuit 1504 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to: a metropolitan area network, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 1504 can also include NFC (Near Field Communication) related circuitry, and the present application is not limited in this regard.

[0084] The display 1505 is configured to display a UI (User Interface). The UI can include graphics, text, icons, video, and any combination thereof. When the display 1505 is a touch display, the display 1505 is further configured to collect touch signals on or above the surface of the display 1505. The touch signals can be input to the processor 1501 as control signals for processing. At this time, the display 1505 can also be configured to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display 1505 can be one, arranged on the front panel of the terminal; in other embodiments, the display 1505 can be at least two, arranged on different surfaces of the terminal or in a folding design; in other embodiments, the display 1505 can be a flexible display, arranged on a curved surface or a folding surface of the terminal. Even, the display 1505 can also be arranged in an irregular shape, that is, a special-shaped screen. The display 1505 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0085] The camera assembly 1506 is configured to capture images or videos. Optionally, the camera assembly 1506 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the terminal, and the rear camera is arranged on the back of the terminal. In some embodiments, the rear camera is at least two, which is any one of a main camera, a depth-of-field camera, a wide-angle camera, and a telephoto camera, to realize the background blur function of the main camera and the depth-of-field camera, the panorama shooting and VR (Virtual Reality) shooting function of the main camera and the wide-angle camera, or other fusion shooting functions. In some embodiments, the camera assembly 1506 can also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. The dual-color temperature flash refers to the combination of a warm light flash and a cold light flash, which can be used for light compensation under different color temperatures.

[0086] The audio circuit 1507 can include a microphone and a speaker. The microphone is used to collect sound waves of the user and the environment, and convert the sound waves into an electrical signal input to the processor 1501 for processing, or input to the radio frequency circuit 1504 to realize voice communication. For the purpose of stereo sound collection or noise reduction, the microphone can be multiple, respectively arranged at different parts of the terminal. The microphone can also be an array microphone or an omnidirectional collection type microphone. The speaker is used to convert the electrical signal from the processor 1501 or the radio frequency circuit 1504 into sound waves. The speaker can be a traditional diaphragm speaker, or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only can the electrical signal be converted into a sound wave that humans can hear, but also can be converted into a sound wave that humans cannot hear for ranging purposes. In some embodiments, the audio circuit 1507 can also include a headphone jack.

[0087] The power supply 1508 is used to supply power to each component in the terminal. The power supply 1508 can be alternating current, direct current, disposable battery or rechargeable battery. When the power supply 1508 includes a rechargeable battery, the rechargeable battery can support wired charging or wireless charging. The rechargeable battery can also be used to support fast charging technology.

[0088] In some embodiments, the terminal also includes one or more sensors 1509. The one or more sensors 1509 include but are not limited to: an acceleration sensor 1510, a gyroscope sensor 1511, a pressure sensor 1512, an optical sensor 1513, and a proximity sensor 1514.

[0089] The acceleration sensor 1510 can detect the acceleration in three coordinate axes of the coordinate system established by the terminal. For example, the acceleration sensor 1510 can be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 1501 can control the display screen 1505 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1510. The acceleration sensor 1510 can also be used for game or user motion data collection.

[0090] The gyroscope sensor 1511 can detect the body direction and rotation angle of the terminal, and the gyroscope sensor 1511 can collect 3D actions of the user on the terminal in cooperation with the acceleration sensor 1510. The processor 1501 can realize the following functions according to the data collected by the gyroscope sensor 1511: motion sensing (such as changing the UI according to the user's tilt operation), image stabilization when shooting, game control, and inertial navigation.

[0091] The pressure sensor 1512 can be disposed on the side bezel of the terminal and / or the lower layer of the display screen 1505. When the pressure sensor 1512 is disposed on the side bezel of the terminal, it can detect the user's grip signal on the terminal, and the processor 1501 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 1512. When the pressure sensor 1512 is disposed on the lower layer of the display screen 1505, the processor 1501 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 1505. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0092] Optical sensor 1513 is used to collect ambient light intensity. In one embodiment, processor 1501 can control the display brightness of display screen 1505 based on the ambient light intensity collected by optical sensor 1513. Specifically, when the ambient light intensity is high, the display brightness of display screen 1505 is increased; when the ambient light intensity is low, the display brightness of display screen 1505 is decreased. In another embodiment, processor 1501 can also dynamically adjust the shooting parameters of camera assembly 1506 based on the ambient light intensity collected by optical sensor 1513.

[0093] The proximity sensor 1514, also known as a distance sensor, is typically installed on the front panel of the terminal. The proximity sensor 1514 is used to detect the distance between the user and the front of the terminal. In one embodiment, when the proximity sensor 1514 detects that the distance between the user and the front of the terminal is gradually decreasing, the processor 1501 controls the display screen 1505 to switch from a screen-on state to a screen-off state; when the proximity sensor 1514 detects that the distance between the user and the front of the terminal is gradually increasing, the processor 1501 controls the display screen 1505 to switch from a screen-off state to a screen-on state.

[0094] Those skilled in the art will understand that Figure 8 The structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0095] In an exemplary embodiment, a computer device is also provided, comprising a processor and a memory storing at least one computer program. The at least one computer program is loaded and executed by one or more processors to enable the computer device to implement any of the above-described methods for vehicle off-line detection.

[0096] In an exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one computer program, which is loaded and executed by a processor of a computer device to enable the computer to implement any of the above-described methods for vehicle off-line detection.

[0097] In a possible implementation manner, the computer readable storage medium can be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, or the like.

[0098] In the example embodiment, a computer program product or computer program is also provided, which includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes any one of the above vehicle offline detection methods.

[0099] It should be noted that the information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals involved in the present application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions. For example, the ignition switch state of the vehicle, the oil temperature of the gearbox of the vehicle and the shutdown time length of the vehicle are obtained under sufficient authorization.

[0100] It should be understood that "multiple" referred to in the present text refers to two or more. The "and / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist together, and B exists alone. The character " / " generally represents that the associated objects before and after it are in an "or" relationship.

[0101] It should be noted that the terms "first", "second", and the like (if any) in the specification and claims of the present application are used to distinguish similar objects, and do not necessarily have to describe a specific order or chronological order. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following example embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0102] The above merely illustrates the embodiments of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A method of vehicle off-line detection, characterized by, The method comprises: based on the ignition switch of the vehicle being in an open state, obtaining the transmission oil temperature of the vehicle and the shutdown time length of the vehicle, the shutdown time length being the time interval from the last time the ignition switch of the vehicle is closed to the current time it is opened; obtain the ambient temperature of the vehicle; based on the difference between the transmission oil temperature and the ambient temperature of the vehicle being within a reference range and the shutdown time length being greater than a first reference time length, determine that the vehicle is in a cold state; based on the vehicle being in a cold state, detect the pre-charge self-learning value and the half-joining point KP self-learning value of the transmission corresponding to the cold state, the pre-charge self-learning value being the pre-charge pressure value of the transmission, and the KP self-learning value being the KP point pressure value of the transmission; the detection of the pre-charge self-learning value and the half-joining point KP self-learning value of the transmission corresponding to the cold state comprises: detect the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the normal state; based on the cold state parameters, correct the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the normal state, take the corrected pre-charge self-learning value as the pre-charge self-learning value corresponding to the cold state, and take the corrected KP self-learning value as the KP self-learning value corresponding to the cold state.

2. The method of claim 1, wherein, after determining that the vehicle is in a cold state, the method further comprises: based on the length of time that the vehicle is in a cold state being greater than a second reference time length, determine that the static viscosity of the oil of the vehicle has decreased to the viscosity corresponding to the normal state; based on the static viscosity of the oil decreasing to the viscosity corresponding to the normal state, determine that the vehicle is in the normal state.

3. The method of claim 2, wherein, The method further comprises: obtain the average speed of the vehicle; based on the average speed of the vehicle, determine the second reference time length required for the static viscosity of the oil to decrease to the viscosity corresponding to the normal state, the average speed being positively correlated with the second reference time length.

4. The method of claim 1, wherein, after detecting the pre-charge self-learning value and the half-joining point KP self-learning value of the transmission corresponding to the cold state, the method further comprises: based on the pre-charge self-learning value and the KP self-learning value of the transmission corresponding to the cold state, control the hydraulic response of the vehicle.

5. An apparatus for vehicle off-line detection, characterized by, The device comprises: a first obtaining module for obtaining the transmission oil temperature of the vehicle and the shutdown time length of the vehicle based on the ignition switch of the vehicle being in an open state, the shutdown time length being the time interval from the last time the ignition switch of the vehicle is closed to the current time it is opened; a second obtaining module for obtaining the ambient temperature of the vehicle; a first determining module for determining that the vehicle is in a cold state based on the difference between the transmission oil temperature and the ambient temperature of the vehicle being within a reference range and the shutdown time length being greater than a first reference time length; a detection module for detecting the pre-charge self-learning value and the half-joining point KP self-learning value of the transmission corresponding to the cold state based on the vehicle being in a cold state, the pre-charge self-learning value being the pre-charge pressure value of the transmission, and the KP self-learning value being the KP point pressure value of the transmission; The detection module is configured to detect the pre-charging self-learning value and the KP self-learning value of the gearbox corresponding to the normal state, and correct the pre-charging self-learning value and the KP self-learning value of the gearbox corresponding to the normal state based on the cold state parameter, so as to take the corrected pre-charging self-learning value as the pre-charging self-learning value corresponding to the cold state and take the corrected KP self-learning value as the KP self-learning value corresponding to the cold state.

6. The apparatus of claim 5, wherein, The first determination module is further configured to determine that the static viscosity of the engine oil of the vehicle decreases to the viscosity corresponding to the normal state based on the time length during which the vehicle is in the cold state being greater than a second reference time length, and determine that the vehicle is in the normal state based on the static viscosity of the engine oil decreasing to the viscosity corresponding to the normal state.

7. A computer device, comprising: The computer device includes a processor and a memory, and the memory stores at least one computer program, which is loaded and executed by the processor, so that the computer device implements the vehicle offline detection method according to any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores at least one computer program, which is loaded and executed by the processor, so that the computer implements the vehicle offline detection method according to any one of claims 1 to 4.

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