CN117890127A - Method, device, equipment and storage medium for detecting vehicle offline - Google Patents
Method, device, equipment and storage medium for detecting vehicle offline Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for detecting vehicle offline, and belongs to the technical field of vehicle control. The method comprises the following steps: acquiring the oil temperature of a gearbox of the vehicle and the stop time of the vehicle based on the starting state of an ignition switch of the vehicle; acquiring the environment temperature of a vehicle; determining 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 in a reference range and the stop time being longer than a first reference time; based on the fact that the vehicle is in a cold state, a pre-charging self-learning value and a half-junction KP self-learning value of the gearbox corresponding to the cold state are detected, wherein the pre-charging self-learning value is a pre-charging pressure value of the gearbox, and the half-junction KP self-learning value is a KP point pressure value of the gearbox. The accuracy of the pre-charge self-learning value and the KP self-learning value obtained in the cold state is ensured 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, so that the hydraulic response of the vehicle is accurately controlled.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicle control, in particular to a method, a device, equipment and a storage medium for detecting vehicle off-line.
Background
Before the vehicle is off-line, the vehicle is detected off-line, including detecting a pre-charge self-learning value and a KP (semi-junction) self-learning value of the vehicle, wherein the pre-charge self-learning value is a pre-charge pressure value of a gearbox, and the KP self-learning value is a KP Point pressure value of the gearbox. And the hydraulic response of the vehicle is accurately controlled based on the pre-charge self-learning value and the KP self-learning value, so that the gear shifting quality of the vehicle is ensured. The gear shifting quality is the capability of the transmission to finish gear shifting quickly, stably, without abnormal sound and without bump when the vehicle performs gear shifting operation in the running process.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for detecting vehicle offline, which can be used for detecting a pre-charge self-learning value and a KP self-learning value of a vehicle. The technical scheme is as follows:
In one aspect, an embodiment of the present application provides a method for detecting a vehicle offline, where the method includes:
Acquiring the gearbox oil temperature of the vehicle and the stop time of the vehicle based on the fact that an ignition switch of the vehicle is in an on state, wherein the stop time is the time interval from last turn-off to current turn-on of the ignition switch of the vehicle;
Acquiring the environment temperature of the vehicle;
determining 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 in a reference range and the stop time being longer than a first reference time;
and detecting a pre-charging self-learning value and a half-junction KP self-learning value of the gearbox corresponding to the cold state based on the fact that the vehicle is in the cold state, wherein the pre-charging self-learning value is a pre-charging pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox.
In another aspect, there is provided an apparatus for vehicle offline detection, the apparatus comprising:
The first acquisition module is used for acquiring the oil temperature of a gearbox of the vehicle and the time duration of the vehicle based on the fact that the ignition switch of the vehicle is in an on state, wherein the time duration of the vehicle is the time interval from last turn-off to current turn-on of the ignition switch of the vehicle;
the second acquisition module is used for acquiring the environment temperature of the vehicle;
The first determining module is used for determining that the vehicle is in a cold state based on the fact that the difference value between the oil temperature of the gearbox and the ambient temperature of the vehicle is in a reference range and the stop time is longer than a first reference time;
The detection module is used for detecting a pre-charging self-learning value and a half-combining point KP self-learning value of the gearbox corresponding to the cold state based on the fact that the vehicle is in the cold state, wherein the pre-charging self-learning value is a pre-charging pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox.
In another aspect, a computer device is provided, where the computer device includes a processor and a memory, where at least one computer program is stored in the memory, where the at least one computer program is loaded and executed by the processor, so that the computer device implements a method for detecting a vehicle coming off line according to any one of the above.
In another aspect, there is provided a computer readable storage medium having stored therein at least one computer program loaded and executed by a processor to cause the computer to implement a method for vehicle drop-out detection as described in any of the above.
In another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising 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 cause the computer device to perform any of the methods of vehicle drop-out detection described above.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
According to the application, the difference value between the oil temperature of the gearbox and the ambient temperature of the vehicle is in the reference range, and the stop time is longer than the first reference time, so that the vehicle is determined to be in a cold state, and the cold state of the vehicle is accurately judged. Under the condition 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 that the hydraulic response of the vehicle is accurately controlled under the cold state.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;
FIG. 2 is a flowchart of a method for detecting vehicle offline according to an embodiment of the present application;
FIG. 3 is an application logic diagram of a vehicle offline detection according to an embodiment of the present application;
FIG. 4 is an algorithm logic diagram of a vehicle offline detection provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of an embodiment of a vehicle offline detection method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a device for detecting vehicle offline according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a server according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a device for detecting vehicle offline according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
The embodiment of the application provides a method for detecting vehicle offline, please refer to fig. 1, which shows a schematic diagram of an implementation environment of the method provided by the embodiment of the application. The implementation environment may include: a vehicle 11 and an automatic transmission control unit 12, wherein the automatic transmission control unit 12 is located on the vehicle 11.
Alternatively, based on the ignition switch of the vehicle 11 being in an on state, the automatic transmission control unit 12 acquires the transmission oil temperature of the vehicle 11 and the stop time of the vehicle 11, the stop time being the time interval from the last turn-off to the current turn-on of the ignition switch of the vehicle 11; the automatic transmission control unit 12 acquires the ambient temperature in which the vehicle 11 is located; the automatic transmission control unit 12 determines that the vehicle 11 is in a cold state based on the difference between the transmission oil temperature and the ambient temperature in which the vehicle 11 is located being within the reference range and the stop time being longer than the first reference time period; based on the vehicle 11 being in the cold state, the automatic transmission control unit 12 detects a pre-charge self-learning value of the transmission corresponding to the cold state, which is a pre-charge pressure value of the transmission, and a KP self-learning value, which is a KP point pressure value of the transmission.
The automatic transmission control unit 12 may store, among other things, a transmission oil temperature of the vehicle 11 and a stop time period of the vehicle 11 for determining whether the vehicle is in a cold state. The automatic transmission control unit 12 may also store pre-charge and KP self-learning values of the transmission of the vehicle 11 for controlling the hydraulic response of the vehicle. Alternatively, the vehicle 11 establishes a communication connection with the automatic transmission control unit 12 through a wired or wireless network.
Based on the implementation environment shown in fig. 1, an embodiment of the present application provides a method for detecting vehicle offline, and a flowchart of the method is shown in fig. 2, and the method is applied to an automatic gearbox control unit, for example, and the method includes steps 201-204.
In step 201, based on the ignition switch of the vehicle being in an on state, the oil temperature of the gearbox of the vehicle and the stop time of the vehicle are obtained, wherein the stop time is the time interval from last turning off to current turning on of the ignition switch of the vehicle.
In one possible implementation, the manner in which the status of the ignition switch of the vehicle is obtained includes, but is not limited to: the automatic gearbox control unit obtains gear information of the ignition switch through a bus. When the gear information of the ignition switch is an ON gear, the ignition switch is in an ON state; when the shift position information of the ignition switch is OFF, the ignition switch is in an OFF state. For example, the type of bus on which the automatic transmission control unit acquires the shift information of the ignition switch may be a CAN (Controller Area Network ) bus.
Illustratively, after determining that an ignition switch of a vehicle is in an on state, a gearbox oil temperature of the vehicle and a stop time period of the vehicle are obtained. Acquiring a gearbox oil temperature of a vehicle, comprising: the method comprises the steps of detecting the oil temperature of a gearbox of a vehicle through a temperature sensor mounted on the vehicle, wherein the temperature sensor is mounted in the gearbox of the vehicle, and detecting the oil temperature of the gearbox of the vehicle. For example, the transmission oil temperature of the vehicle may also be obtained from a central control system of the vehicle. The automatic gearbox control unit is communicated with a central control system of the vehicle through CAN, and the central control system of the vehicle detects and stores information of the vehicle including gearbox oil temperature, time, driving mileage and driving duration of the vehicle.
In one possible implementation manner, the time duration of stopping is a time interval from last turning off to current turning on of an ignition switch of a vehicle, and the obtaining the time duration of stopping the vehicle includes: storing the time when the ignition switch is turned off and on, reading the last time when the ignition switch of the vehicle is turned off, calculating the time interval from the last time when the ignition switch of the vehicle is turned off to the current time when the ignition switch of the vehicle is turned on, and taking the time interval as the stop time of the vehicle.
In step 202, the ambient temperature of the vehicle is obtained.
The embodiment of the application does not limit the mode of acquiring the environment temperature of the vehicle, and can detect the environment temperature of the vehicle through a temperature sensor arranged on the vehicle. The temperature sensor is mounted on the outside of the vehicle, and detects the ambient temperature on the outside of the vehicle as the ambient temperature in which the vehicle is located.
The application detects the environment temperature outside the vehicle instead of the environment temperature measured in the vehicle, ensures the accuracy of the detected temperature and is not influenced by the temperature of the air conditioner and the temperature of the passengers in the vehicle.
In step 203, it is determined that the vehicle is in a cold state based on the difference between the transmission oil temperature and the vehicle's ambient temperature being within the reference range and the time of shutdown being greater than the first reference time period.
In one possible implementation, a difference between the oil temperature of the gearbox and the ambient temperature of the vehicle is obtained, if the difference is within a reference range, the stop time length of the vehicle is compared with a first reference time length, and if the stop time length is longer than the first reference time length, the vehicle is determined to be in a cold state. For example, the time period of stopping the vehicle and the first reference time period may be compared first, if the time period of stopping the vehicle is longer than the first reference time period, a difference between the oil temperature of the gearbox and the ambient temperature of the vehicle is obtained, and if the difference is within the reference range, it is determined that the vehicle is in a cold state.
The embodiment of the application does not limit the reference range, and can be in the range of-3 to 3 by way of example, and the reference range can be adjusted according to actual conditions. The embodiment of the application also does not limit the first reference time length, and optionally, the machine halt time length can be set to be 6 hours, and can be adjusted according to actual conditions.
By setting the reference range to a range including plus and minus, it is ensured that both cases where the transmission oil temperature is less than the vehicle-located environmental temperature and where the transmission oil temperature is greater than the vehicle-located environmental temperature are included.
The cold state of the vehicle is determined by the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle being in a reference range and the stop time of the vehicle being longer than a first reference time period, because the vehicle enters the cold state when the stop time exceeds a certain time period, namely the first reference time period, and the engine oil of the gearbox is not stirred in the cold state, the difference between the temperature of the engine oil and the ambient temperature of the vehicle is not large, namely the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle is in the reference range.
In step 204, based on the vehicle being in a cold state, a pre-charge self-learning value and a KP self-learning value of the gearbox corresponding to the cold state are detected, the pre-charge self-learning value is a pre-charge pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox.
In one possible implementation manner, the pre-charge self-learning value is a pre-charge pressure value of the gearbox, the KP self-learning value is a KP point pressure value of the gearbox, and after determining that the vehicle is in a cold state, detecting the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state includes: detecting a pre-charging self-learning value and a KP self-learning value of the gearbox corresponding to the conventional state; and correcting the pre-charge self-learning value and the KP self-learning value of the conventional gearbox based on the cold state parameters, 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.
In one possible implementation, determining that the static viscosity of the engine oil of the vehicle drops to a viscosity corresponding to a normal state based on the time period when the vehicle is in the cold state being longer than a second reference time period; the vehicle is determined to be in the normal state based on the static viscosity of the engine oil decreasing to a viscosity corresponding to the normal state.
Illustratively, the means for obtaining the second reference time period includes, but is not limited to: acquiring the average speed of the vehicle; a second reference period of time required for the static viscosity of the engine oil to drop to a viscosity corresponding to the normal state is determined based on an average speed of the vehicle, the average speed being positively correlated with the second reference period of time.
Illustratively, obtaining the average speed of the vehicle includes: acquiring the driving mileage and the driving duration of a vehicle; the result of dividing the driving distance by the driving duration is taken as the average speed of the vehicle. In one possible implementation, the automatic gearbox control unit obtains the driving distance and the driving duration of the vehicle from the central control system of the vehicle through the CAN, and divides the obtained driving distance of the vehicle by the driving duration of the vehicle to obtain the average speed of the vehicle.
Alternatively, after determining the average speed of the vehicle, determining the second reference period of time required for the static viscosity of the engine oil to drop to the viscosity corresponding to the normal state based on the average speed of the vehicle may be determined based on experiments. The embodiment of the application does not limit the viscosity corresponding to the conventional state, can be determined based on experiments, and can also adjust the viscosity corresponding to the conventional state according to actual conditions.
In one possible implementation manner, after determining the second reference duration, acquiring the duration of the vehicle in the cold state includes: the automatic gearbox control unit CAN acquire the time of the vehicle entering the cold state from the central control system of the vehicle through the CAN and store the time, and the time interval between the time at the time and the time of the vehicle entering the cold state is taken as the duration of the vehicle entering the cold state. For example, after determining the period of time in which the vehicle is in the cold state, the period of time in which the vehicle is in the cold state is compared with the second reference period of time, and if the period of time in which the vehicle is in the cold state is longer than the second reference period of time, it is determined that the vehicle is out of the cold state, that is, the vehicle is in the normal state.
Illustratively, detecting a pre-charge self-learned value and a KP self-learned value of the transmission corresponding to the normal state includes: and (3) detecting the off-Line Of the EOL (End Of Line) Of the vehicle in the normal state Of the vehicle to obtain a pre-charge self-learning value and a KP self-learning value Of the gearbox corresponding to the normal state.
The embodiment of the application does not limit the state parameters of the cold machine, and exemplarily determines the state parameters of the cold machine, including: and (3) performing EOL offline detection on the vehicle in a cold state, taking the result of subtracting the pre-charge self-learning value corresponding to the normal state from the pre-charge self-learning value obtained by detection as a cold state parameter of the pre-charge self-learning value, and taking the result of subtracting the KP self-learning value corresponding to the normal state from the KP self-learning value obtained by detection as a cold state parameter of the KP self-learning value.
Optionally, after determining the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the cold state, controlling 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 includes: and adjusting the hydraulic natural frequency and the hydraulic damping ratio of the hydraulic system based on the pre-charging pressure value and the KP point pressure value corresponding to the cold machine state, calculating an open-loop transfer function of the hydraulic system based on the hydraulic natural 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, namely the response speed and the precision of the hydraulic system of the vehicle based on the operation of a driver, is pre-filled with the self-learning value and the KP self-learning value which are parameters of the hydraulic system.
The hydraulic system of the vehicle is input with the pre-charge self-learning value and the KP self-learning value corresponding to the cold state, and the hydraulic response of the vehicle is regulated, so that when the vehicle is in the cold state, the response of the hydraulic system meets the requirements of the cold state, the hydraulic response is more accurate and rapid, the transmission can complete gear shifting more quickly, stably, without abnormal sound and without pause, and the behavior of a driver can be reacted more quickly and more accurately, and the gear shifting quality of the vehicle is ensured.
Optionally, after determining the pre-charge self-learning value and the KP self-learning value of the gearbox corresponding to the normal state, controlling 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 normal state includes: and adjusting the pressure of the hydraulic system based on the pre-charge pressure value and the KP point pressure value corresponding to the conventional state.
The hydraulic response of the vehicle is regulated through the pre-charge self-learning value and the KP self-learning value corresponding to the conventional state, so that when the vehicle is in the conventional state, the hydraulic response meets the requirement of the conventional state, the hydraulic response is more accurate and rapid, and the gear shifting quality of the vehicle is ensured. Wherein the normal state may also be called a thermo-mechanical state.
In an exemplary application logic diagram of vehicle offline detection provided by the embodiment of the present application shown in fig. 3, it can be seen intuitively that after the ignition switch is turned on, whether the transmission of the vehicle is in a cold state is determined based on the ambient temperature of the vehicle and the stop time. When the gearbox of the vehicle is in a cold state, detecting a pre-charging self-learning value and a KP self-learning value corresponding to the cold state; and detecting the pre-charge self-learning value and the KP self-learning value corresponding to the normal state when the cold state of the gearbox of the vehicle is finished.
In combination with the above method, an example is illustrated by an algorithm logic diagram of vehicle offline detection provided in the embodiment of the present application shown in fig. 4. The ignition switch of the vehicle is turned on 401, and whether the difference between the oil temperature of the gearbox and the ambient temperature of the vehicle is in a reference range or not and whether the shutdown time is longer than a first reference time period is determined 402. If the difference between the transmission oil temperature and the vehicle ambient temperature is within the reference range and the off time period is greater than the first reference time period, it is determined that the vehicle is in a cold state 403.
If the difference between the transmission oil temperature and the vehicle ambient temperature is not within the reference range or the duration of the shutdown 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 time 404 is used for counting the time that the vehicle is in the cold state by a timer, and whether the time that the vehicle is in the cold state is greater than a second reference time 405 is judged. If the time period during which the vehicle is in the cold state is greater than the second reference time period, the vehicle exits the cold state 406. If the duration of time the vehicle is in the cold state is less than or equal to the second reference duration of time, it is determined that the vehicle is in the cold state 403.
In connection with the above method, a schematic diagram of an implementation manner of vehicle offline detection according to the embodiment of the present application shown in fig. 5 is taken as an example for illustration. The state, the driving range and the gearbox oil temperature of the ignition switch are collected through a TCU (Transmission-Control-Unit self) basic software 504, and then the collected state, driving range and gearbox oil temperature of the ignition switch are transmitted to an identification algorithm 501 for detecting the vehicle off-line through a TCU Control model 503. The recognition algorithm 501 for vehicle off-line detection outputs a pre-charge self-learning value and a KP self-learning value to control the hydraulic control model 502.
According to the embodiment of the application, the difference value between the oil temperature of the gearbox and the ambient temperature of the vehicle is in the reference range, and the stop time is longer than the first reference time, so that the vehicle is determined to be in a cold state, and the cold state of the vehicle is accurately judged. Under the condition 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 that the hydraulic response of the vehicle is accurately controlled under the cold state.
And determining a second reference time length through the average speed of the vehicle, determining that the vehicle exits the cold state to enter a conventional state after the time length of the vehicle in the cold state is longer than the second reference time length, and detecting a pre-charge self-learning value and a KP self-learning value of the gearbox corresponding to the conventional state, so that the hydraulic response of the vehicle is accurately controlled in the conventional state.
Referring to fig. 6, an embodiment of the present application provides a device for detecting a vehicle coming off line, including:
The first obtaining module 601 is configured to obtain, based on an ignition switch of the vehicle being in an on state, a gearbox oil temperature of the vehicle and a stop time of the vehicle, where the stop time is a time interval from last turning off of the ignition switch of the vehicle to current turning on;
a second obtaining module 602, configured to obtain an ambient temperature of the vehicle;
A first determining module 603, configured to determine that the vehicle is in a cold state based on a difference between the gearbox oil temperature and the environment temperature of the vehicle being in a reference range and a stop time being longer than a first reference time period;
The detection module 604 is configured to detect a pre-charge self-learning value of the gearbox and a half-junction KP self-learning value corresponding to the cold state, where the pre-charge self-learning value is a pre-charge pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox, based on the vehicle being in the cold state.
In one possible implementation, the detection module 604 is configured to detect a pre-charge self-learning value and a KP self-learning value of the gearbox corresponding to the normal state; and correcting 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, 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.
In one possible implementation, the first determining module 603 is further configured to determine that the static viscosity of the engine oil of the vehicle drops to a viscosity corresponding to the normal state based on the time period when the vehicle is in the cold state being longer than the second reference time period; the vehicle is determined to be in the normal state based on the static viscosity of the engine oil decreasing to a viscosity corresponding to the normal state.
In one possible implementation, the apparatus further includes: a third acquisition module for acquiring an average speed of the vehicle; and a second determination module for determining a second reference period required for the static viscosity of the engine oil to drop to a viscosity corresponding to the normal state based on an average speed of the vehicle, the average speed being positively correlated with the second reference period.
In one 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.
The device determines that the vehicle is in a cold state by the difference value of the oil temperature of the gearbox and the environment temperature of the vehicle being in a reference range and the stop time length being longer than a first reference time length, and accurately judges the cold state of the vehicle. Under the condition 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 that the hydraulic response of the vehicle is accurately controlled under the cold state.
And determining a reference time length through the average speed of the vehicle, determining that the vehicle exits the cold state to enter a conventional state after the time length of the vehicle in the cold state is longer than the reference time length, and detecting a pre-charge self-learning value and a KP self-learning value of a gearbox corresponding to the conventional state, so that the hydraulic response of the vehicle is accurately controlled in the conventional state.
It should be noted that, when the apparatus provided in the foregoing embodiment performs the functions thereof, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to perform all or part of the functions described above. In addition, the apparatus and the method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the apparatus and the method embodiments are detailed in the method embodiments and are not repeated herein.
Fig. 7 is a schematic structural diagram of a server according to an embodiment of the present application, where the server may have a relatively large difference due to different configurations or performances, and may include one or more processors 901 and one or more memories 902, where the one or more memories 902 store at least one computer program, and the at least one computer program is loaded and executed by the one or more processors 901, so that the server implements the method for detecting vehicle offline provided by each method embodiment described above. Of course, the server may also have a wired or wireless network interface, a keyboard, an input/output interface, and other components for implementing the functions of the device, which are not described herein.
Fig. 8 is a schematic diagram of a device structure for detecting a vehicle coming off line according to an embodiment of the present application. The device may be a terminal, for example: vehicle-mounted system, smart phone, tablet, player, notebook or desktop. Terminals may also be referred to by other names as user equipment, portable terminals, laptop terminals, desktop terminals, etc.
Generally, the terminal includes: a processor 1501 and a memory 1502.
The processor 1501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1501 may be implemented in at least one hardware form of DSP (DIGITAL SIGNAL processing), FPGA (field-programmable gate array), PLA (Programmable Logic Array ). The processor 1501 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 1501 may be integrated with a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content to be displayed by the display screen. In some embodiments, the processor 1501 may also include an AI (ARTIFICIAL INTELLIGENCE ) processor for processing computing operations related to machine learning.
Memory 1502 may include one or more computer-readable storage media, which may be non-transitory. Memory 1502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1502 is configured to store at least one instruction for execution by processor 1501 to cause the terminal to implement a method of vehicle drop-out detection provided by a method embodiment of the present application.
In some embodiments, the terminal may further optionally include: a peripheral interface 1503 and at least one peripheral device. The processor 1501, memory 1502 and peripheral interface 1503 may be connected by a bus or signal lines. The individual peripheral devices may be connected to the peripheral device interface 1503 via a bus, signal lines, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1504, a display 1505, a camera assembly 1506, audio circuitry 1507, and a power supply 1508.
A peripheral interface 1503 may be used to connect I/O (Input/Output) related at least one peripheral device to the processor 1501 and the memory 1502. In some embodiments, processor 1501, memory 1502, and peripheral interface 1503 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 1501, the memory 1502, and the peripheral interface 1503 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 1504 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 1504 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 1504 converts electrical signals to electromagnetic signals for transmission, or converts received electromagnetic signals to electrical signals. Optionally, the radio frequency circuit 1504 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuit 1504 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (WIRELESS FIDELITY ) networks. In some embodiments, the radio frequency circuit 1504 may further include NFC (NEAR FIELD Communication) related circuits, which is not limited by the present application.
Display 1505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When display screen 1505 is a touch display screen, display screen 1505 also has the ability to collect touch signals at or above the surface of display screen 1505. The touch signal may be input to the processor 1501 as a control signal for processing. At this point, display 1505 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1505 may be one, disposed on the front panel of the terminal; in other embodiments, the display 1505 may be at least two, respectively disposed on different surfaces of the terminal or in a folded design; in other embodiments, the display 1505 may be a flexible display disposed on a curved surface or a folded surface of the terminal. Even more, the display 1505 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The display screen 1505 may be made of materials such as an LCD (Liquid CRYSTAL DISPLAY) and an OLED (Organic Light-Emitting Diode).
The camera assembly 1506 is used to capture images or video. Optionally, the camera assembly 1506 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 1506 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuitry 1507 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and the environment, converting the sound waves into electric signals, inputting the electric signals to the processor 1501 for processing, or inputting the electric signals to the radio frequency circuit 1504 for voice communication. For the purpose of stereo acquisition or noise reduction, a plurality of microphones can be respectively arranged at different parts of the terminal. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 1501 or the radio frequency circuit 1504 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, the audio circuit 1507 may also include a headphone jack.
The power supply 1508 is used to power the various components in the terminal. The power source 1508 may be alternating current, direct current, disposable battery, or rechargeable battery. When the power source 1508 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the terminal further includes one or more sensors 1509. The one or more sensors 1509 include, but are not limited to: an acceleration sensor 1510, a gyro sensor 1511, a pressure sensor 1512, an optical sensor 1513, and a proximity sensor 1514.
The acceleration sensor 1510 may detect the magnitudes of accelerations on three coordinate axes of a coordinate system established with a terminal. For example, the acceleration sensor 1510 may be used to detect components of gravitational acceleration in three coordinate axes. The processor 1501 may control the display screen 1505 to display the user interface in either a landscape view or a portrait view based on the gravitational acceleration signal collected by the acceleration sensor 1510. The acceleration sensor 1510 may also be used for acquisition of motion data of a game or user.
The gyro sensor 1511 may detect a body direction and a rotation angle of the terminal, and the gyro sensor 1511 may collect a 3D motion of the user to the terminal in cooperation with the acceleration sensor 1510. The processor 1501, based on the data collected by the gyro sensor 1511, may implement the following functions: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 1512 may be disposed on a side frame of the terminal and/or below the display 1505. When the pressure sensor 1512 is disposed on a side frame of the terminal, a grip signal of the terminal by the user may be detected, and the processor 1501 performs a left-right hand recognition or a quick operation according to the grip signal collected by the pressure sensor 1512. When the pressure sensor 1512 is disposed at the lower layer of the display screen 1505, the processor 1501 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 1505. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The optical sensor 1513 is used to collect the ambient light intensity. In one embodiment, processor 1501 may control the display brightness of display screen 1505 based on the intensity of ambient light collected by optical sensor 1513. Specifically, when the ambient light intensity is high, the display brightness of the display screen 1505 is turned up; when the ambient light intensity is low, the display luminance of the display screen 1505 is turned down. In another embodiment, the processor 1501 may also dynamically adjust the shooting parameters of the camera assembly 1506 based on the ambient light intensity collected by the optical sensor 1513.
A proximity sensor 1514, also referred to as a distance sensor, is typically provided on the front panel of the terminal. The proximity sensor 1514 is used to collect the distance between the user and the front face of the terminal. In one embodiment, when the proximity sensor 1514 detects a gradual decrease in the distance between the user and the front face of the terminal, the processor 1501 controls the display 1505 to switch from the on-screen state to the off-screen state; when the proximity sensor 1514 detects that the distance between the user and the front face of the terminal gradually increases, the processor 1501 controls the display screen 1505 to switch from the off-screen state to the on-screen state.
Those skilled in the art will appreciate that the structure shown in fig. 8 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.
In an exemplary embodiment, a computer device is also provided, the computer device comprising a processor and a memory, the memory having at least one computer program stored therein. The at least one computer program is loaded and executed by one or more processors to cause the computer arrangement to implement any of the methods of vehicle drop-out detection described above.
In an exemplary embodiment, there is also provided a computer-readable storage medium having stored therein at least one computer program loaded and executed by a processor of a computer device to cause the computer to implement a method of any one of the above-mentioned vehicle drop-out detection.
In one possible implementation, the computer readable storage medium may be a read-only memory (ROM), a random access memory (Random Access Memory, RAM), a CD-ROM (Compact Disc Read-only memory), a magnetic tape, a floppy disk, an optical data storage device, and so on.
In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or computer program comprising 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 to cause the computer device to perform any of the methods of vehicle drop-out detection described above.
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, presented data, etc.), and signals related to the present application are all authorized by the user or are fully authorized by the parties, and the collection, use, and processing of the related data is required to comply with the relevant laws and regulations and standards of the relevant countries and regions. For example, the ignition switch state of the vehicle, the transmission oil temperature of the vehicle, and the stop time of the vehicle, which are referred to in the present application, are all acquired under the condition of sufficient authorization.
It should be understood that references herein to "a plurality" are to two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
It should be noted that the terms "first," "second," and the like in the description and in the claims, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
The above embodiments are merely exemplary embodiments of the present application and are not intended to limit the present application, any modifications, equivalent substitutions, improvements, etc. that fall within the principles of the present application should be included in the scope of the present application.
Claims (10)
1. A method of vehicle offline detection, the method comprising:
Acquiring the gearbox oil temperature of the vehicle and the stop time of the vehicle based on the fact that an ignition switch of the vehicle is in an on state, wherein the stop time is the time interval from last turn-off to current turn-on of the ignition switch of the vehicle;
Acquiring the environment temperature of the vehicle;
determining 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 in a reference range and the stop time being longer than a first reference time;
and detecting a pre-charging self-learning value and a half-junction KP self-learning value of the gearbox corresponding to the cold state based on the fact that the vehicle is in the cold state, wherein the pre-charging self-learning value is a pre-charging pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox.
2. The method of claim 1, wherein detecting the pre-charge self-learning value and the half-tie point KP self-learning value of the gearbox corresponding to the cold state comprises:
detecting a pre-charging self-learning value and a KP self-learning value of the gearbox corresponding to a conventional state;
And correcting 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, taking the corrected pre-charging self-learning value as the pre-charging 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.
3. The method of claim 2, wherein after the determining that the vehicle is in a cold state, further comprising:
Determining that the static viscosity of the engine oil of the vehicle is reduced to the viscosity corresponding to the normal state based on the fact that the time length of the vehicle in the cold state is longer than a second reference time length;
and determining that the vehicle is in the normal state based on the reduction of the static viscosity of the engine oil to a viscosity corresponding to the normal state.
4. A method according to claim 3, characterized in that the method further comprises:
Acquiring an average speed of the vehicle;
The second reference period required for the static viscosity of the engine oil to drop to the viscosity corresponding to the normal state is determined based on an average speed of the vehicle, the average speed being positively correlated with the second reference period.
5. The method according to claim 1, wherein after detecting the pre-charge self-learning value and the half-junction KP self-learning value of the transmission corresponding to the cold state, further comprises:
And controlling 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.
6. An apparatus for vehicle drop-out detection, the apparatus comprising:
The first acquisition module is used for acquiring the oil temperature of a gearbox of the vehicle and the time duration of the vehicle based on the fact that the ignition switch of the vehicle is in an on state, wherein the time duration of the vehicle is the time interval from last turn-off to current turn-on of the ignition switch of the vehicle;
the second acquisition module is used for acquiring the environment temperature of the vehicle;
The first determining module is used for determining that the vehicle is in a cold state based on the fact that the difference value between the oil temperature of the gearbox and the ambient temperature of the vehicle is in a reference range and the stop time is longer than a first reference time;
The detection module is used for detecting a pre-charging self-learning value and a half-combining point KP self-learning value of the gearbox corresponding to the cold state based on the fact that the vehicle is in the cold state, wherein the pre-charging self-learning value is a pre-charging pressure value of the gearbox, and the KP self-learning value is a KP point pressure value of the gearbox.
7. The device according to claim 6, wherein the detection module is configured to detect a pre-charge self-learning value and a KP self-learning value of the transmission corresponding to a normal state; and correcting 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, taking the corrected pre-charging self-learning value as the pre-charging 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.
8. The apparatus of claim 7, wherein the first determining module is further configured to determine that a static viscosity of the engine oil of the vehicle drops to a viscosity corresponding to a normal state based on a time period of the vehicle in a cold state being longer than a second reference time period; and determining that the vehicle is in the normal state based on the reduction of the static viscosity of the engine oil to a viscosity corresponding to the normal state.
9. A computer device, characterized in that it comprises a processor and a memory, in which at least one computer program is stored, which is loaded and executed by the processor, in order to cause the computer device to carry out the method of vehicle drop-off detection according to any one of claims 1 to 5.
10. A computer readable storage medium having stored therein at least one computer program loaded and executed by a processor to cause a computer to implement the method of vehicle drop-out detection as claimed in any one of claims 1 to 5.
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| CN202410253178.0A CN117890127A (en) | 2024-03-06 | 2024-03-06 | Method, device, equipment and storage medium for detecting vehicle offline |
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| CN202410253178.0A CN117890127A (en) | 2024-03-06 | 2024-03-06 | Method, device, equipment and storage medium for detecting vehicle offline |
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| CN202410253178.0A Pending CN117890127A (en) | 2024-03-06 | 2024-03-06 | Method, device, equipment and storage medium for detecting vehicle offline |
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