CN113283506A - Vehicle-mounted TBOX load state identification method based on road working conditions - Google Patents
Vehicle-mounted TBOX load state identification method based on road working conditions Download PDFInfo
- Publication number
- CN113283506A CN113283506A CN202110584633.1A CN202110584633A CN113283506A CN 113283506 A CN113283506 A CN 113283506A CN 202110584633 A CN202110584633 A CN 202110584633A CN 113283506 A CN113283506 A CN 113283506A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- data
- load
- tbox
- engine
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention discloses a TBOX data labeling method based on road working condition load state identification, which is used for freight vehicles, recording actual load and loading running time and comprises the following steps: step 1, starting a vehicle to run, and automatically acquiring data by TBOX; step 2, actually following the vehicle to run, determining each time period and actual loading load in the running process of the vehicle; and 3, determining corresponding load and engine parameters based on the background TBOX accumulated data.
Description
The technical field is as follows:
the invention belongs to the field of design of freight vehicles, and particularly relates to a method for identifying a vehicle-mounted TBOX load state based on road conditions.
Background art:
due to the lack of the loading information of the vehicle, the actual load of the vehicle cannot be provided when the actual vehicle working condition is judged, and the actual problem analysis of the vehicle cannot be participated (such as brake failure and fault, and great influence on the loading quality). The existing six-country vehicle must be provided with the TBOX, so an algorithm is calculated by utilizing data acquired by the TBOX to obtain a load range, an accurate user scene can be provided, accurate design and test are facilitated, and the intellectualization of vehicle design can be realized. In the design stage, the target relation that the engine torque changes along with the load cannot be effectively utilized to design a product to meet the actual working condition.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
The invention content is as follows:
the invention aims to provide a knitting production management system terminal, thereby overcoming the defects in the prior art.
In order to achieve the above object, the present invention provides a TBOX data labeling method based on road condition load state identification, which records actual load and loading operation time, and comprises the following steps:
step 1, starting a vehicle to run, and automatically acquiring data by TBOX;
step 2, actually following the vehicle to run, determining each time period and actual loading load in the running process of the vehicle;
and 3, determining corresponding load and engine parameters based on the background TBOX accumulated data.
A T-BOX terminal is provided with a dual-core processing OBD module and a dual-core processing CPU framework, bus data and private protocol reverse control related to automobile buses Dcan, Kcan and PTcan are respectively acquired, the data are transmitted to a cloud server through a GPRS network, and an oil consumption report, a driving report, statistics, fault reminding, violation inquiry, a position track, driving behaviors, safety theft prevention, reservation service, remote vehicle finding, automobile door, window, lamp, lock, horn, double flash, reflector folding, skylight, monitoring central control warning, airbag state and the like are provided.
The load spectrum corresponding to the load collected by the invention is associated with the user load data, and also covers the dynamic parameters of the vehicle, thereby providing reference and basis for automobile design and fault verification.
Preferably, in the above technical solution, the collected data includes Vin, collection time, vehicle speed, net engine output torque, friction torque, engine speed, engine fuel flow, intake air amount, engine coolant temperature, oil tank liquid level, positioning information, and accumulated mileage.
Preferably, in the above technical solution, the instantaneous acceleration of each point is obtained according to the collected time and vehicle speed data; and according to the acquired vehicle speed, the rotating speed data and the vehicle power chain corresponding to the VIN code, the gear judgment of each time point is obtained through adaptive matching.
Selecting a point with the highest gear and the instantaneous acceleration stabilized at 0, drawing a discrete graph, removing abnormal data, taking out the point after removing the abnormal data, and drawing a quadratic curve of 50-100 kph;
determining the type of a vehicle type container by combining the VIN code and the vehicle information, obtaining a vehicle GVW range according to the actually measured resistance, and obtaining a cargo weight range by combining the empty vehicle mass;
and setting other variables of the engine as constants to obtain corresponding torque values and engine parameters and load relations under the working condition of stability.
Preferably, in the above technical scheme, the torque corresponding to the steady-state constant velocity point is extracted, the vehicle resistance at different vehicle speed points is obtained according to the power balance of the typical working condition point, and the approximate load state is obtained according to the acquired vehicle resistance fitting and the comparison with the test resistance: f V/3600/eta + P = T n/9549, F is the resistance of the whole vehicle, V is the vehicle speed, eta is the total transmission efficiency, P is the accessory power, T is the output torque of the engine, and n is the rotating speed.
Preferably, in the above technical solution, the abnormal data includes points at different slopes, the other variables are tires, a vehicle speed, an accelerator opening degree or other related parameters, and the stable working condition indicates a level road.
Compared with the prior art, the invention has the following beneficial effects:
1. the method has the advantages that the TBOX is required to be installed on the existing six vehicles in China, so that the data analysis acquired by the TBOX is utilized, the cost is low, the efficiency is high, the regional range is wide, the intellectualization of vehicle design can be realized, the convenience of operation is realized, and the method is convenient to popularize and apply widely.
2. Besides engine torque, TBOX also has other engine data, participates in analysis, and the scope of scene analysis reaches details.
3. Can provide accurate user's scene, the accurate design of being convenient for, it is experimental.
Description of the drawings:
FIG. 1 is a data plot of TBOX acquisition;
FIG. 2 is a schematic view of an acquisition and analysis process;
FIG. 3 is a schematic view of load identification decision;
FIG. 4 is a schematic view of load identification decision;
fig. 5 is a schematic view of load recognition determination.
The specific implementation mode is as follows:
the following detailed description of specific embodiments of the invention is provided, but it should be understood that the scope of the invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
The invention relates to a test method of TBOX data based on the load state of road actual working conditions, which can relatively accurately reproduce the power range of road requirements and promote the intellectualization of automobile design, sale and maintenance.
This design accessible actual car test with in the actual work, accomplish multiple operating mode load and mark, following for example:
the invention provides a method for calibrating actual following load of an automobile, which records actual load and loading operation time and comprises the following steps:
step 1, starting a vehicle to run, and automatically acquiring data by TBOX;
step 2, actually following the vehicle to run, determining each time period and actual loading load in the running process of the vehicle;
and 3, determining corresponding load and engine parameters based on the background TBOX accumulated data.
Assuming that the torque of the engine corresponds to a corresponding load value and the engine parameter is in relation to the load under the working condition (level road) that other variables of the engine are constants (tire, vehicle speed and accelerator opening).
The T-BOX terminal is provided with a dual-core processing OBD module and a dual-core processing CPU framework, bus data and private protocol reverse control related to automobile buses Dcan, Kcan and PTcan are respectively acquired, the data are transmitted to a cloud server through a GPRS network, and automobile condition reports, driving reports, oil consumption statistics, fault reminding, violation inquiry, position tracks, driving behaviors, safety theft prevention, reservation service, remote automobile finding, automobile door, window, lamp, lock, horn, double flash, reflector folding, skylight, monitoring central control warning, airbag state and the like are provided.
The data that can be collected by existing TBOXs are as follows: vin, acquisition time, vehicle speed, net engine output torque, friction torque, engine speed, engine fuel flow, air intake amount, engine coolant temperature, oil tank liquid level, positioning information, accumulated mileage and the like.
And (3) solving the whole vehicle resistance of different vehicle speed points according to the power balance of the typical working condition points (torque corresponding to the steady-state constant speed points needs to be extracted), and obtaining the approximate load state according to the collected whole vehicle resistance fitting and the test resistance comparison.
F (vehicle resistance) × V (vehicle speed)/3600/η (total transmission efficiency) + P (accessory power) = T (engine output torque) × n (rotational speed)/9549.
Acquiring the instantaneous acceleration of each point according to the acquired time and the acquired vehicle speed data; and according to the acquired vehicle speed, the rotating speed data and the vehicle power chain corresponding to the VIN code, the gear judgment of each time point is obtained through adaptive matching.
Selecting the point with the highest gear and the instantaneous acceleration stabilized at 0, drawing a discrete graph, eliminating abnormal data (including points under different gradients and not needing the data), taking out the point after the abnormal data is eliminated, and drawing a quadratic curve (50-100 kph). The curve function is as follows: as shown in the figures 3-5, the overall vehicle resistance and the load are positively correlated, and as shown in the figure 1, the load range is roughly determined by taking out effective scatter data, and the region where the effective point set is located is determined, namely, the load level of the truck is determined.
The vehicle type cargo box category is known by combining the VIN code and the vehicle information, the range of the vehicle GVW is judged according to the measured resistance, and the cargo weight range is judged by combining the empty vehicle mass.
And thirdly, recording the actual load (bearing) by a designer following the vehicle, automatically acquiring data by the vehicle-mounted T-BOX background, and marking the data of the actual load and the vehicle-mounted T-BOX.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (6)
1. A TBOX data labeling method based on road condition load state identification is characterized in that the method is used for freight vehicles, records actual load and loading running time, and comprises the following steps:
step 1, starting a vehicle to run, and automatically acquiring data by TBOX;
step 2, actually following the vehicle to run, determining each time period and actual loading load in the running process of the vehicle;
and 3, determining corresponding load and engine parameters based on the background TBOX accumulated data.
2. The method for labeling TBOX data based on road condition load state identification as recited in claim 1, wherein the collected data comprises Vin, collection time, vehicle speed, net engine output torque, friction torque, engine speed, engine fuel flow, air intake amount, engine coolant temperature, fuel tank liquid level, positioning information and accumulated mileage.
3. The TBOX data labeling method based on road condition load state identification as claimed in claim 1, wherein instantaneous acceleration of each point is obtained according to the collected time and vehicle speed data; and according to the acquired vehicle speed, the rotating speed data and the vehicle power chain corresponding to the VIN code, the gear judgment of each time point is obtained through adaptive matching.
4. Selecting a point with the highest gear and the instantaneous acceleration stabilized at 0, drawing a discrete graph, removing abnormal data, taking out the point after removing the abnormal data, and drawing a quadratic curve of 50-100 kph; the load range is roughly determined by taking out effective scattered point data, and the region where the effective point set is located is determined, namely the truck load level is determined;
determining the type of a vehicle type container by combining the VIN code and the vehicle information, obtaining a vehicle GVW range according to the actually measured resistance, and obtaining a cargo weight range by combining the empty vehicle mass;
and setting other variables of the engine as constants to obtain corresponding torque values and engine parameters and load relations under the working condition of stability.
5. The method for labeling TBOX data based on road condition load state identification as claimed in claim 1, wherein torque corresponding to a steady-state constant velocity point is extracted, vehicle resistance of different vehicle speed points is obtained according to typical condition point power balance, and an approximate load state is obtained according to collected vehicle resistance fitting and comparison with test resistance: f V/3600/eta + P = T n/9549, F is the resistance of the whole vehicle, V is the vehicle speed, eta is the total transmission efficiency, P is the accessory power, T is the output torque of the engine, and n is the rotating speed.
6. The method for labeling TBOX data based on road condition load state identification as claimed in claim 3, wherein the abnormal data comprises points at different slopes, other variables are tires, vehicle speed, accelerator opening or other relevant parameters, and the stable condition is a level road.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110584633.1A CN113283506A (en) | 2021-05-27 | 2021-05-27 | Vehicle-mounted TBOX load state identification method based on road working conditions |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110584633.1A CN113283506A (en) | 2021-05-27 | 2021-05-27 | Vehicle-mounted TBOX load state identification method based on road working conditions |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113283506A true CN113283506A (en) | 2021-08-20 |
Family
ID=77282021
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110584633.1A Pending CN113283506A (en) | 2021-05-27 | 2021-05-27 | Vehicle-mounted TBOX load state identification method based on road working conditions |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113283506A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117029987A (en) * | 2023-10-07 | 2023-11-10 | 武汉大学 | Vehicle load measuring system and method based on inertial navigation technology |
-
2021
- 2021-05-27 CN CN202110584633.1A patent/CN113283506A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117029987A (en) * | 2023-10-07 | 2023-11-10 | 武汉大学 | Vehicle load measuring system and method based on inertial navigation technology |
| CN117029987B (en) * | 2023-10-07 | 2023-12-19 | 武汉大学 | Vehicle load measuring system and method based on inertial navigation technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230169804A1 (en) | Telematically monitoring a condition of an operational vehicle component | |
| US10458830B2 (en) | Method for improving fuel economy test precision in on-road vehicles | |
| CN103718218A (en) | Systems and methods for managing fault codes | |
| CN109613905B (en) | Method and device for dynamically identifying actual operation high-oil-consumption severe working condition of heavy commercial vehicle | |
| CN109164249B (en) | Gasoline engine lubricating oil performance evaluation method based on vehicle-mounted diagnosis system | |
| EP3786903A1 (en) | Telematically providing remaining effective life indications for operational vehicle components | |
| CN111997709A (en) | On-line monitoring method and system for vehicle-mounted engine oil | |
| CN113283506A (en) | Vehicle-mounted TBOX load state identification method based on road working conditions | |
| CN114526930B (en) | Intelligent network-connected automobile fault detection method and system | |
| EP3786904A1 (en) | Method for telematically providing vehicle component rating | |
| CN111612372A (en) | Commercial vehicle default risk early warning method based on operation condition | |
| KR20110078352A (en) | Road, and, the related element for the emission factor experiment of the public transportation greenhouse gas and air pollution material and representative driving mode development system | |
| EP3786902A1 (en) | System for telematically providing vehicle component rating | |
| CN116737845B (en) | Economic vehicle speed analysis method and system | |
| CN117072295A (en) | Early warning method and device for frequent regeneration of DPF | |
| CN111612314A (en) | Method for evaluating automobile energy consumption | |
| CN117108394A (en) | Engine water temperature state identification method, device and medium | |
| CN116402409A (en) | Oil quality identification method for gas station based on OBD system | |
| CN114995341A (en) | Vehicle self-data acquisition and diagnosis system | |
| Kesch et al. | Emission-control legislation | |
| Carpatorea et al. | Towards Data Driven Method for Quantifying Performance of Truck Drivers | |
| Middleton et al. | FHWA-RD |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |