CN114321360A - Gear identification method and device for manual transmission gearbox and computer equipment - Google Patents
Gear identification method and device for manual transmission gearbox and computer equipment Download PDFInfo
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Abstract
The application relates to a gear identification method, a gear identification device, a computer device, a storage medium and a computer program product for a manual transmission. The method comprises the following steps: if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment; and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment. By adopting the method, the cost of the whole vehicle can be reduced, and the complexity of the running of the whole vehicle can be reduced.
Description
Technical Field
The application relates to the technical field of vehicle data processing, in particular to a method and a device for identifying gears of a manual transmission and computer equipment.
Background
Because the manual transmission of the vehicle has the advantages of better oil saving performance, higher reliability, lower price and the like compared with the automatic transmission, the vehicle provided with the manual transmission is still the first choice of most vehicle purchasers. With the development of the car networking technology, when a large amount of data are analyzed and applied, it is found that inconvenience is brought to a car networking system for analyzing data because signal acquisition is not separately carried out on gears of a manual gear transmission.
In the related art, a corresponding sensor is usually installed on a mechanical shift lever of a manual gear of a vehicle, or a corresponding gear recognition device is installed on a housing of a manual gear transmission to recognize a gear of the vehicle during driving. However, the method not only increases the cost of the vehicle, but also increases the complexity of the whole vehicle and reduces the reliability of the vehicle operation. In addition, gears can be obtained by calculating the rotating speed of an output shaft of the manual transmission and the rotating speed of an engine, but the manual transmission of many vehicles does not output rotating speed signals or the output rotating speed signals are not collected by a vehicle networking system, so that the method cannot be applied.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for identifying a gear of a manual transmission.
In a first aspect, the application provides a gear identification method for a manual transmission. The method comprises the following steps:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In one embodiment, the gear states include an in-gear state and a neutral state, and the in-gear state includes a forward gear state and a reverse gear state; the identification process of the gear state at any moment comprises the following steps:
acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
In one embodiment, the Internet of vehicles data further includes meter vehicle speed; according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, before calculating the actual speed ratio of the manual transmission at any moment, the method comprises the following steps:
carrying out data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
In one embodiment, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment comprises:
in the formula (1), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
In one embodiment, the method further comprises:
for the historical time periods of the determined gears, determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods, wherein the historical time periods are defined on the basis of the two continuous historical state changes of the clutch;
determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In one embodiment, optimizing the gear result at each historical time in the historical time period according to the gear interval includes:
determining the number of integers in a gear range;
if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
In a second aspect, the application further provides a gear recognition device for the manual transmission. The device comprises:
the calculation module is used for calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment if the gear state at any moment is the forward gear state;
the determining module is used for comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value between the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
According to the gear identification method, the gear identification device, the computer equipment, the storage medium and the computer program product for the manual transmission, if the gear state at any moment is the forward gear state, the actual speed ratio of the manual transmission at any moment is calculated according to the rear axle speed ratio of the whole vehicle, the rolling radius of the tire, the engine speed and the GPS vehicle speed at any moment. And comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment. Compared with the prior art that corresponding sensors or identification devices need to be installed, the data which can be obtained at present can be analyzed and processed without adding additional equipment, and corresponding gear identification results of the manual transmission gearbox are obtained, so that the cost of the whole vehicle can be reduced, and the running complexity of the whole vehicle can be reduced.
Drawings
FIG. 1 is a diagram of an application environment of a method for identifying gears of a manual transmission according to an embodiment;
FIG. 2 is a schematic flow chart of a method for identifying gears of a manual transmission according to an embodiment;
FIG. 3 is a schematic illustration of a range section in one embodiment;
FIG. 4 is a block diagram illustrating a flow of manual transmission gear determination according to one embodiment;
FIG. 5 is a block diagram of an embodiment of a manual transmission gear identification apparatus;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for identifying the gear of the manual transmission provided by the embodiment of the application can be applied to the application environment shown in fig. 1. The terminal 101 communicates with the server 102 through a network, the terminal 101 transmits the acquired internet of vehicles data to the server 102 through the network, and the terminal 101 can store the acquired internet of vehicles data and then transmit the stored internet of vehicles data to the server 102. Server 102 may perform analytics processing on the internet of vehicles data. The data storage system may store data that the server 102 needs to process. The data storage system may be integrated on the server 102, or may be located on the cloud or other network server.
The terminal 101 may be but not limited to various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart car-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like. The server 102 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a method for identifying a gear of a manual transmission is provided, which is described by taking the method as an example applied to the server 102 in fig. 1, and includes the following steps:
201. if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
202. and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In the step 201, the rear axle speed ratio is also called a final reduction ratio, which refers to the gear transmission ratio of the final reducer in the drive axle of the entire vehicle, and is equal to the ratio of the rotational angular velocity of the transmission shaft to the rotational angular velocity of the axle half shaft, and also equal to the ratio of their rotational speeds, for example, the final reducer with a final reduction ratio of 2 rotates the input end for two revolutions, and rotates the output end for one revolution. Therefore, the final drive functions to reduce the rotational speed transmitted from the propeller shaft, thereby increasing the torque. The tire rolling radius refers to the equivalent radius that is calculated when the wheel is rolling. The engine speed refers to the revolution number of the crankshaft of the engine per minute, and the high and low of the engine speed, and relates to the number of work doing times in unit time or the effective power of the engine.
The GPS vehicle speed refers to the position of the whole vehicle which can be continuously tracked by the GPS equipment in the running process of the whole vehicle, the running distance of the whole vehicle is measured, and then the running speed of the whole vehicle is calculated by dividing the distance by time. For example, the distance from the point A to the point B of the whole vehicle is 1000m, and the running time of the whole vehicle from the point A to the point B is 1min, so the GPS speed of the whole vehicle is 1000 m/min.
Generally, the rear axle speed ratio and the tire radius of the whole vehicle are determined, so that the actual speed ratio of the manual transmission at any moment is determined by the engine speed and the GPS vehicle speed at any moment. Specifically, the vehicle networking system calculates the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, wherein the actual speed ratio of the manual transmission is inversely proportional to the GPS vehicle speed and directly proportional to the engine speed.
For the type of the whole vehicle, the embodiment does not specifically limit the type, and includes but is not limited to: commercial vehicles, cars, etc.
In step 202, the calculated actual speed ratio of the manual transmission at each time is not necessarily completely the same as the speed ratio corresponding to each gear of the entire vehicle, so that, in order to determine the gear corresponding to the actual speed ratio of the manual transmission at each time, the internet of vehicles system compares the actual speed ratio of the manual transmission at each time with the speed ratio corresponding to each gear of the entire vehicle one by one to obtain a difference value between the actual speed ratio of the manual transmission at each time of the entire vehicle and the speed ratio corresponding to each gear of the entire vehicle, and then uses the gear corresponding to the smallest difference value among all the difference values as the gear result of the manual transmission at any time.
In addition, the number of gears of the manual transmission of the whole vehicle is related to the type and the configuration of the whole vehicle, for example, there are 5 gears of the whole vehicle, 7 gears of the whole vehicle and the whole vehicle with other number of gears. The embodiment of the present invention does not specifically limit the specific gear conditions of the entire vehicle.
According to the method provided by the embodiment of the invention, the actual speed ratio of the manual transmission can be calculated through the rear axle speed ratio, the tire rolling radius, the engine speed at any moment and the GPS speed, and the gear identification can be carried out on the manual transmission of the whole vehicle according to the actual speed ratio and the speed ratio corresponding to each gear of the whole vehicle.
In combination with the above embodiments, in one embodiment, the gear states include an in-gear state and a neutral state, and the in-gear state includes a forward gear state and a reverse gear state; the identification process of the gear state at any moment comprises the following steps:
301. acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
302. judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
303. and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
In step 301, the configuration table of the entire vehicle refers to a table including accessories and functional attributes of the entire vehicle, the configuration table of the entire vehicle is stored in the car networking system, and when the car networking system needs to use the configuration table of the entire vehicle, the configuration table of the entire vehicle can be directly obtained from the memory.
The vehicle networking data of the whole vehicle refers to data transmitted to a vehicle networking system by the whole vehicle through a network, and comprises engine speed, GPS vehicle speed, gear state signals, reverse gear switch activation signals and other signals of the whole vehicle. The car networking system can know the state of the whole car by analyzing the car networking data.
The gear state signal can reflect whether the whole vehicle belongs to a gear state or a neutral state, and generally, the gear state signal is divided into two types, one type corresponds to the gear state, and the other type corresponds to the neutral state. For example, the gear status signal is divided into 1 and 0, where 1 may correspond to the gear status and 0 corresponds to the neutral status.
The reverse gear switch activation signals are divided into two types, one type can reflect the gear to be shifted to a reverse gear state, and the other type reflects the gear to be shifted to a forward gear state.
Specifically, whether the gear state at any moment is in a gear state or a neutral state is judged according to the gear state signal, if the gear state is in the neutral state, the gear result of the manual transmission at the corresponding moment can be directly determined to be neutral, and gear identification at the moment is finished. If the gear state is the forward gear state or the reverse gear state, the gear state at any moment is further judged according to the reverse gear switch activation signal, if the gear state is the reverse gear state, the gear result of the manual gear transmission at the corresponding moment is directly determined to be the reverse gear, and gear identification at the moment is finished. And if the gear is in the forward gear state, performing the next processing.
According to the method provided by the embodiment of the invention, the Internet of vehicles system analyzes and judges the Internet of vehicles data, and can know the gear state of the whole vehicle at each moment, so that the efficiency of analyzing the performance of the whole vehicle by the Internet of vehicles system can be improved, and the analysis cost is reduced.
In combination with the above embodiments, in one embodiment, the vehicle networking data further comprises a meter vehicle speed; according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, before calculating the actual speed ratio of the manual transmission at any moment, the method comprises the following steps:
401. carrying out data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
402. and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
Since the data of the internet of vehicles is transmitted to the system of the internet of vehicles through the network, errors may occur in the data of the internet of vehicles in the transmission process, and in addition, abnormal data may exist in the data of the internet of vehicles sent by the whole vehicle, for example, partial data is missing, or the data value exceeds the conventional physical range. Therefore, when the vehicle networking system acquires the vehicle networking data, the vehicle networking data needs to be cleaned, and missing data and other data beyond a physical interval are removed.
In the above step 402, the instrument speed refers to a speed displayed by an instrument panel of the entire vehicle during the running process of the entire vehicle. After the car networking data are cleaned, noise data identification needs to be carried out on the GPS car speed in the cleaned car networking data, namely the GPS car speed in the cleaned car networking data is compared with the instrument car speed, and when the deviation between the GPS car speed and the instrument car speed is larger than a preset range, the GPS car speed data are provided, and the noise data identification of the GPS car speed is completed.
According to the method provided by the embodiment of the invention, the vehicle networking data is cleaned, and abnormal data in the vehicle networking data is eliminated, so that the accuracy of the calculation result of the vehicle networking system can be improved, and the reliability of the analysis result of the vehicle networking system is further improved.
With reference to the above description of the embodiments, in one embodiment, calculating an actual speed ratio of the manual transmission at any time according to a rear axle speed ratio of a whole vehicle, a rolling radius of a tire, and an engine speed and a GPS vehicle speed at any time includes:
in the formula (2), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
The actual speed ratio of each moment of the manual transmission can reflect the gear condition of the whole vehicle at the corresponding moment, and after the rear axle speed ratio and the rolling radius of tires of the whole vehicle are determined, the actual speed ratio of each moment is influenced by the rotating speed of the engine and the GPS vehicle speed at the corresponding moment.
According to the method provided by the embodiment of the invention, the vehicle networking system can calculate the actual speed ratio of the manual transmission of the whole vehicle at each moment by acquiring the rear axle speed ratio, the tire rolling radius, the engine speed at each moment and the GPS vehicle speed of the whole vehicle, so that the gear identification of the manual transmission of the whole vehicle can be completed.
With reference to the content of the foregoing embodiments, in one embodiment, the method for identifying gears of a manual transmission further includes:
501. for the historical time periods of the determined gears, determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods, wherein the historical time periods are defined on the basis of the two continuous historical state changes of the clutch;
502. determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
503. and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In step 501, the historical time period of the determined gear refers to the time period of the gear result of the manual transmission at each moment determined by the vehicle networking system after vehicle networking data calculation processing. In this time period, all the time gears have been determined, but in all the time, some of the time corresponding gears may be wrong, so this embodiment also needs to optimize the gear results at all the time in the history time period in which the gears have been determined.
In addition, as for the frequency of acquiring the car networking data of the whole car by the car networking system, the embodiment of the present invention does not specifically limit the frequency, and includes but is not limited to: the data of the Internet of vehicles is acquired once a day, and the data of the Internet of vehicles is acquired once every two days. It is worth mentioning that if the frequency of acquiring the internet of vehicles data by the internet of vehicles system is once a day, the acquired data is all the internet of vehicles data in a day, and if the frequency of acquiring the internet of vehicles data by the internet of vehicles system is once every two days, the acquired data is all the internet of vehicles data in two days, and the manner of acquiring the internet of vehicles data by other frequencies is the same in the secondary push.
In addition, the car networking data in step 301 further includes a clutch activation signal, and the clutch activation signal is divided into two types, one type represents that the clutch is activated, and the other type represents that the clutch is not activated.
Specifically, the historical time periods are divided by judging clutch activation signals, when two consecutive clutch activation signals all indicate that the clutch is activated, the two consecutive activation time periods correspond to one historical time period, in addition, the gear result in the historical time period is optimized only if the duration of the historical time period is greater than the preset duration, and if the duration of the historical time period is less than the preset duration, the gear result in the historical time period is not optimized. For example, the preset time period may be 5s, and the time period of the historical time period is 5min, so that the gear result in the historical time period may be optimized.
In the step 502, the value of the preset confidence may be changed according to the calculation requirement, which is not specifically limited in the embodiment of the present invention, and includes but is not limited to: 95% confidence, 99% confidence, etc.
Specifically, a distribution function of gear results in each historical time period is determined according to all gear results in each historical time period, then a gear interval corresponding to the historical time period under the preset confidence level is determined according to the distribution function and the gear results in the historical time period, and then the gear results at each historical time in the historical time period are optimized according to the gear interval. The embodiment of the present invention does not specifically limit the calculation method of the gear range corresponding to the historical time period under the preset confidence level. As shown in fig. 3, when the confidence in the graph is 95%, the gear range corresponding to a certain historical time period is [ igear_posi_min,igear_posi_max,]。
In addition to the above optimization method, the optimization method for the gear result of each historical time period may also be performed according to the gear result of any continuous time in each historical time period, where the time of any continuous time is more than 3, for example, a certain continuous time t0,t1,t2The identified gear results are i respectively0,i1,i2If i is1≠i0＝i2Then i is1Result abnormal, i needs to be1Value modification of and i0、i2The values of (a) are the same.
According to the method provided by the embodiment of the invention, the accuracy of the vehicle networking system in identifying the gear of the manual transmission can be improved by optimizing the gear result in the historical time period, so that the reliability of the vehicle networking system in analyzing data can be improved.
With reference to the content of the foregoing embodiment, in an embodiment, optimizing the shift range result at each historical time in the historical time period according to the shift range interval includes:
601. determining the number of integers in a gear range;
602. if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
603. and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
Specifically, it is determined how many integers exist in the gear range, and if the number of the integers is 1, the integer is used to replace the gear result that the gear result in the corresponding historical time period is not the integer, for example, the gear result in a certain historical time period is {1, 2, 3, 2}, and the only integer in the corresponding gear range is 2, then the gear result in the optimized historical time period is {2, 2 }. If the number of integers is 0, 2, 3, and the other is not 1, then the gear result at each historical time in the historical time period will not be optimized.
According to the method provided by the embodiment of the invention, whether the gear result in the corresponding historical time period needs to be optimized or not can be determined by determining the number of integers in the gear interval in the historical time period, so that the optimization of the gear result by the vehicle networking system is more targeted, and the optimization efficiency of the gear result by the vehicle networking system is further improved.
In combination with the above embodiments, in one embodiment, as shown in fig. 4, a block diagram of a process of determining a gear of a manual transmission is provided, which includes: and extracting relevant fields from the data of the Internet of vehicles, cleaning the relevant fields, judging the gear state of the whole vehicle according to the cleaned data, judging that the gear is 0 according to a gear identification result if the gear is in a neutral state, and finishing gear identification at the moment. And if the gear state is the gear state, judging the reverse gear state of the whole vehicle, and if the gear state is the reverse gear state, judging the gear as the reverse gear according to the gear identification result, and finishing the gear identification at the moment. If the vehicle networking data are not in the reverse gear state, calculating the gear of the forward gear according to the data in the cleaned vehicle networking data, after gear identification at all times is completed, optimizing the gear result of the forward gear, and finally determining the final gear result. The relevant fields refer to relevant data such as engine speed, GPS vehicle speed, gear state signals, reverse gear switch activation signals and clutch activation signals.
According to the method provided by the embodiment of the invention, the vehicle networking system can determine the specific gear of the manual transmission gear at each moment by analyzing and processing the acquired vehicle networking data, so that the possibility that the vehicle networking system analyzes the gear of the manual transmission gear is realized, and the cost of the whole vehicle is further reduced.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a manual transmission gear recognition device for realizing the manual transmission gear recognition method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so that specific limitations in one or more embodiments of the gear identification device for the manual transmission provided below can be referred to the limitations on the gear identification method for the manual transmission, and are not described herein again.
In one embodiment, as shown in fig. 5, there is provided a manual transmission gear identification device, comprising: a calculation module 501 and a determination module 502, wherein:
the calculation module 501 is configured to calculate an actual speed ratio of the manual transmission at any moment according to a rear axle speed ratio of a whole vehicle, a rolling radius of a tire, an engine speed and a GPS vehicle speed at any moment if a shift state at any moment is a forward shift state;
the determining module 502 is configured to compare the actual speed ratio of the manual transmission at any time with the speed ratios corresponding to all gears of the entire vehicle, determine a difference between the speed ratio corresponding to each gear of the entire vehicle and the actual speed ratio, and use a gear corresponding to a minimum difference among all the differences as a gear result of the manual transmission at any time.
In one embodiment, the apparatus further comprises:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a configuration table of a whole vehicle and vehicle networking data of the whole vehicle at any moment, the configuration table comprises a rear axle speed ratio, a tire rolling radius and speed ratios corresponding to gears, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
the judging module is used for judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
the first determining module is used for judging whether the gear state at any moment is a forward gear state or not according to a reverse gear switch activation signal at any moment if the gear state at any moment is the gear state, and determining that the gear result at any moment is a reverse gear if the gear state at any moment is the reverse gear state.
In one embodiment, the apparatus further comprises:
the cleaning module is used for cleaning the data of the Internet of vehicles at any moment to obtain the cleaned data of the Internet of vehicles;
and the noise identification module is used for carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data according to the instrument vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
In one embodiment, the calculation module 501 includes:
a storage submodule for storing an actual speed ratio of the manual transmission:
in the formula (3), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
In one embodiment, the apparatus further comprises:
the second determination module is used for determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods for the historical time periods of the determined gears, wherein the historical time periods are defined on the basis of two continuous historical state changes of the clutch;
the third determining module is used for determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
and the optimization module is used for optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In one embodiment, an optimization module, comprising:
the determining submodule is used for determining the number of integers in the gear range;
the optimization submodule is used for taking the integer in the gear interval as a gear optimization result of each historical moment in the historical time period if the number of the integers in the gear interval is 1; and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
All or part of the modules in the gear identification device of the manual transmission can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of identifying a gear for a manual transmission.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
carrying out data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, the actual speed ratio of the manual transmission at any moment is calculated, and the method comprises the following steps:
in the formula (4), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
for the historical time periods of the determined gears, determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods, wherein the historical time periods are defined on the basis of the two continuous historical state changes of the clutch;
determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining the number of integers in a gear range;
if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
In one embodiment, the computer program when executed by the processor further performs the steps of:
carrying out data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, the actual speed ratio of the manual transmission at any moment is calculated, and the method comprises the following steps:
in the formula (5), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
In one embodiment, the computer program when executed by the processor further performs the steps of:
for the historical time periods of the determined gears, determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods, wherein the historical time periods are defined on the basis of the two continuous historical state changes of the clutch;
determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the number of integers in a gear range;
if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
In one embodiment, the computer program when executed by the processor further performs the steps of:
carrying out data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment, the actual speed ratio of the manual transmission at any moment is calculated, and the method comprises the following steps:
in the formula (6), igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
In one embodiment, the computer program when executed by the processor further performs the steps of:
for the historical time periods of the determined gears, determining a gear result distribution function adapted to the historical time periods according to the gear result of each historical moment in the historical time periods, wherein the historical time periods are defined on the basis of the two continuous historical state changes of the clutch;
determining a gear interval corresponding to the historical time period under the preset confidence level according to the gear result of each historical time in the historical time period;
and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the number of integers in a gear range;
if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method for identifying a gear of a manual transmission, the method comprising:
if the gear state at any moment is a forward gear state, calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment;
and comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value of the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
2. The method of claim 1, wherein the gear states include an in-gear state and a neutral state, the in-gear state including a forward gear state and a reverse gear state; the process for identifying the gear state at any moment comprises the following steps:
acquiring a configuration table of the whole vehicle and vehicle networking data of the whole vehicle at any moment, wherein the configuration table comprises a rear axle speed ratio, a tire rolling radius and a speed ratio corresponding to each gear, and the vehicle networking data comprises an engine rotating speed, a GPS vehicle speed, a gear state signal and a reverse gear switch activation signal;
judging whether the gear state at any moment is in a gear state or not according to the gear state signal at any moment;
and if the gear state at any moment is the gear state, judging whether the gear state at any moment is the forward gear state or not according to the reverse gear switch activation signal at any moment, and if the gear state is the reverse gear state, determining that the gear result at any moment is the reverse gear.
3. The method of claim 2, wherein the internet of vehicles data further includes a meter vehicle speed; the method comprises the following steps of calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of the tire, the engine speed and the GPS vehicle speed at any moment, wherein the actual speed ratio of the manual transmission at any moment is calculated by the following steps:
performing data cleaning on the Internet of vehicles data at any moment to obtain the cleaned Internet of vehicles data;
and according to the meter vehicle speed in the cleaned vehicle networking data, carrying out noise data identification on the GPS vehicle speed in the cleaned vehicle networking data, and acquiring the GPS vehicle speed identified by the noise data.
4. The method of claim 2, wherein calculating the actual speed ratio of the manual transmission at any one time based on the rear axle speed ratio of the entire vehicle, the tire rolling radius, and the engine speed and the GPS vehicle speed at said any one time comprises:
wherein igear_rateRepresenting the actual speed ratio, S, of a manual transmissionengine_speedRepresenting the engine speed in r/min, irear_axle_rateIndicating rear axle speed ratio, Rtire-radiusRepresents the rolling radius of the tire in m, Sspeed_gpsAnd the unit of the GPS vehicle speed is km/h.
5. The method of claim 3, further comprising:
for a historical time period of the determined gear, determining a gear result distribution function adapted to the historical time period according to the gear result of each historical moment in the historical time period, wherein the historical time period is defined based on two consecutive historical state changes of the clutch;
determining a gear interval corresponding to the historical time period under a preset confidence level according to the gear result of each historical time in the historical time period;
and optimizing the gear result of each historical moment in the historical time period according to the gear interval.
6. The method of claim 5, wherein optimizing the gear outcome for each historical time in the historical time period according to the gear interval comprises:
determining the number of integers in the gear interval;
if the number of the integers in the gear interval is 1, taking the integers in the gear interval as gear optimization results at each historical moment in the historical time period;
and if the number of the integers in the gear interval is not 1, optimizing the gear result at each historical moment in the historical time period.
7. A manual transmission gear identification device, the device comprising:
the calculation module is used for calculating the actual speed ratio of the manual transmission at any moment according to the rear axle speed ratio of the whole vehicle, the rolling radius of tires, the engine speed and the GPS vehicle speed at any moment if the gear state at any moment is a forward gear state;
and the determining module is used for comparing the actual speed ratio of the manual transmission at any moment with the speed ratios corresponding to all gears of the whole vehicle, determining the difference value between the speed ratio corresponding to each gear of the whole vehicle and the actual speed ratio, and taking the gear corresponding to the minimum difference value in all the difference values as the gear result of the manual transmission at any moment.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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