Vehicle safety detection system based on whole vehicle environment simulation

Abstract

The invention relates to the technical field of vehicle safety detection, in particular to a vehicle safety detection system based on whole vehicle environment simulation, which comprises an environment simulation module, a safety test module, a data acquisition module, a safety analysis module and a tire correction analysis module, the environment simulation module is used for simulating a severe cold environment in the detection room, acquiring safety data of vehicle driving in the environment based on the data acquisition module, and transmitting the data to the safety analysis module for analysis; and the safety test module is used for testing the vehicle in the whole vehicle simulation environment. According to the invention, by collecting the movement track data of the tires and accurately analyzing the four-wheel movement track condition of the vehicle, the potential safety problem of wheel movement on an extreme icy road surface is found, the slip condition of the vehicle is evaluated, a comprehensive and real test environment is provided for the safety performance of the vehicle, and the test efficiency is improved. The potential safety problems can be found and solved by automobile manufacturers, and the safety and the reliability of the automobile are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle safety detection, and in particular to an automobile safety detection system based on whole vehicle environment simulation. Background Art

[0002] With the rapid development and popularization of modern transportation, vehicle safety has become one of the key concerns in the field of vehicle engineering. The safety performance of vehicles is directly related to the life safety of passengers and road traffic safety. Therefore, automobile manufacturers and safety researchers have been committed to improving vehicle design and safety technology to reduce the incidence of traffic accidents and reduce the damage caused by accidents. Although significant progress has been made in the field of vehicle safety in the past few decades, it still faces many challenges and problems. The traditional vehicle safety test method only simulates the driving conditions of the vehicle in extreme environments to obtain whether the vehicle is safe to drive in extreme environments. The existing safety tests only focus on limited data points, including braking time and braking distance. When the vehicle is driving on icy roads, there is slippage. These data points cannot fully evaluate the safety performance of the vehicle when driving on icy roads, resulting in the inability to evaluate the vehicle safety hazards caused by slipping. In this regard, we propose an automobile safety detection system based on whole vehicle environment simulation. Summary of the invention

[0003] The present invention aims at solving the technical problems existing in the prior art and provides an automobile safety detection system based on whole vehicle environment simulation, thereby solving the above-mentioned technical problems.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: an automobile safety detection system based on whole vehicle environment simulation, comprising: an environment simulation module, a safety test module, a data acquisition module, a safety analysis module and a tire correction analysis module; The environmental simulation module is used to simulate a severe cold environment in the test room, obtain the safety data of the vehicle driving in the environment based on the data acquisition module, and transmit the data to the safety analysis module for analysis; The safety test module is used to test the vehicle in a whole vehicle simulation environment; The data acquisition module acquires the motion trajectory data of the tire correction analysis module in real time, and uploads the motion trajectory data to the safety test module; The safety analysis module analyzes the four-wheel motion trajectory of the current vehicle based on the trajectory analysis algorithm; The tire correction analysis module analyzes the tire posture based on the analysis results of the safety analysis module, sets a correction strategy, and uploads the set correction strategy to the vehicle's tire correction system. When the tire slips and deviates, the vehicle tire is controlled to correct the deviation and move safely.

[0005] Preferably, the environmental simulation module simulates the icy road conditions in cold winter and conducts a vehicle driving experiment; the safety test module places the vehicle on the simulated road surface for driving simulation, performs driving simulation at different vehicle speeds, and collects the tire data of the vehicle through the data acquisition module, which is uploaded to the safety analysis module for analysis. The data acquisition module integrates an accelerometer, a gyroscope, a GPS receiver and a tire pressure sensor to accurately collect the vehicle's speed, acceleration and tire offset direction while the vehicle is driving.

[0006] Preferably, the safety analysis module preprocesses the acquired data and extracts characteristic data, further analyzes the deviation of the four-wheel motion trajectory by comparing the trajectories of the wheels passing through the ice at different speeds, and obtains the tire trajectory of the vehicle during normal driving based on big data. When the vehicle is driving normally in a straight line, the tire trajectories remain parallel and have a certain spacing. When turning, the trajectories of the inner and outer wheels have a reasonable difference to form a smooth turning path. Based on the collected data, the tire trajectory is compared with the normal driving to check whether there is any deviation and detect whether the vehicle tires are slipping and offset.

[0007] Preferably, the safety thresholds allowed for slip and deviation are obtained based on big data. When the slip and deviation exceed the safety thresholds allowed, it is determined that a safety threat is posed during vehicle driving. After the safety threat is determined, a signal is sent to the vehicle's tire correction system to make corrections and perform corrections on the vehicle's tires.

[0008] Preferably, the expression for obtaining the tire motion trajectory of the vehicle during normal driving is:

[0009] Where y1, y2, y3 and y4 are the driving deviation values ​​of the four tires of the vehicle, t is a time point, and E(t) is the movement trajectory of the tires during normal driving; Detection of slip and deviation: Calculate the trajectory deviation and determine whether the vehicle is in a stable state. The calculation formula is:

[0010] Where A(t) is the deviation value of the trajectory, N is the number of vehicle tires, y1 is a set of vehicle tires, is the average lateral position of all tires. The average lateral position of the vehicle tires is obtained by using the vehicle's four-wheel aligner to monitor and obtain the lateral position changes of the vehicle tires during driving. t is a time point; When one wheel of the vehicle significantly deviates from the track of other wheels, it is considered that the vehicle is slipping and deviating. The judgment is in the form of: A(t)>y1(t) It can be determined that the vehicle is skidding.

[0011] Preferably, the safety threshold is derived based on statistical analysis of historical data, which includes the actual conditions of vehicle slippage and deviation on different road surfaces, at different speeds and in different weather conditions, and their correlation with accidents. Through machine learning methods, it is identified that when the slip rate and deviation exceed specific values, the risk of vehicle accidents increases significantly. This specific value is the safety threshold.

[0012] Preferably, the safety determination formula is expressed as:

[0013] Where B is the judgment result of security threat, 0 means no threat, 1 means threat, A(t) is the trajectory deviation value obtained by the current vehicle, and S is the obtained security threshold.

[0014] Preferably, the tire correction analysis module analyzes the tire posture based on the data collected in real time by the data collection module, the analysis is to determine the impact of the degree of slip and deviation on driving safety, and formulate a correction strategy, the correction strategy includes: optimizing the braking force distribution of each wheel to restore the traction and stability of the vehicle; Control engine torque output to increase traction on slipping tires and reduce slipping; According to the vehicle's current state and future driving path, the steering angles of the front and rear wheels are adjusted to assist the vehicle in quickly restoring a stable driving trajectory.

[0015] Preferably, the formula analyzed in the tire correction analysis module is expressed as:

[0016] in is the deviation value, E(t) is the tire movement trajectory during normal driving, A(t) is the deviation value of the trajectory, and the correction strategy is formulated based on the obtained deviation results.

[0017] Preferably, the set correction strategy is uploaded to the tire correction system of the vehicle, and correction is quickly performed when necessary.

[0018] The beneficial effects of the present invention are: collecting tire motion trajectory data, accurately analyzing the four-wheel motion trajectory of the vehicle, discovering potential safety issues of wheel movement on extreme icy roads, accurately analyzing the tire posture based on the results of the safety analysis module, setting a reasonable tire correction strategy, and dynamically adjusting the tire correction strategy according to real-time data during vehicle driving to ensure safe vehicle travel, reduce tire slip and deviation, evaluate the vehicle slip situation, provide a comprehensive and real test environment for the safety performance of the vehicle, help automobile manufacturers discover and solve potential safety problems, and improve the safety and reliability of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a framework diagram of the safety detection system of the present invention; Figure 2 This is a safety detection flow chart of the present invention; Figure 3 This is a correction analysis flow chart of the tire correction analysis module of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0021] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0022] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details to obscure the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0023] Reference Figure 1 As shown, an automobile safety detection system based on whole vehicle environment simulation includes: an environment simulation module, a safety test module, a data acquisition module, a safety analysis module and a tire correction analysis module; The environmental simulation module is used to simulate a severe cold environment in the test room, obtain the safety data of the vehicle driving in the environment based on the data acquisition module, and transmit the data to the safety analysis module for analysis; The safety test module is used to test the vehicle in a whole vehicle simulation environment; The data acquisition module acquires the motion trajectory data of the tire correction analysis module in real time, and uploads the motion trajectory data to the safety test module; The safety analysis module analyzes the four-wheel motion trajectory of the current vehicle based on the trajectory analysis algorithm; The tire correction analysis module analyzes the tire posture based on the analysis results of the safety analysis module, sets a correction strategy, and uploads the set correction strategy to the vehicle's tire correction system. When the tire slips and deviates, the vehicle tire is controlled to correct the deviation and move safely.

[0024] This application simulates extreme cold environments to test the performance and safety of vehicles under these conditions, which helps to improve the adaptability and stability of vehicles in different climates and road conditions. This simulation test reduces the risks and costs of actual road tests while ensuring that the vehicle can operate safely and reliably in various environments. Comprehensive testing in a whole-vehicle simulation environment can evaluate the various performance of the vehicle, including power, braking, and handling stability. This test helps to discover potential performance bottlenecks and safety hazards, and provides a scientific basis for vehicle design, improvement, and optimization. Based on the trajectory analysis algorithm, the four-wheel motion trajectory of the current vehicle is accurately analyzed, and potential safety issues can be discovered and predicted in a timely manner. Based on the results of the safety analysis module, the posture of the tire is accurately analyzed, and a reasonable correction strategy is set. This active tire correction mechanism can take control measures in time when the tire slips or deflects to ensure the safe movement of the vehicle, which can not only reduce the possibility of accidents, but also improve driving comfort and stability.

[0025] Reference Figure 2 As shown, the environmental simulation module simulates the icy road conditions in the cold winter and conducts a vehicle driving experiment; the safety test module places the vehicle on the simulated road for driving simulation and performs driving simulation at different speeds. The data acquisition module collects the tire data of the vehicle and uploads it to the safety analysis module for analysis. The data acquisition module integrates an accelerometer, a gyroscope, a GPS receiver and a tire pressure sensor to accurately collect the vehicle's speed, acceleration and tire offset direction while the vehicle is driving.

[0026] The safety analysis module pre-processes the acquired data and extracts feature data. By comparing the trajectories of the wheels passing through the ice at different speeds, it further analyzes the deviation of the four-wheel motion trajectory. Based on big data, the tire trajectory of the vehicle during normal driving is obtained. When the vehicle is driving normally in a straight line, the tire trajectories remain parallel and have a certain spacing. When turning, the trajectories of the inner and outer wheels have a reasonable difference to form a smooth turning path. Based on the collected data, it is compared with the tire trajectory during normal driving to check whether there is any deviation and detect whether the vehicle tires are slipping and offset.

[0027] The data preprocessing and feature data extraction in this application are prior art and will not be elaborated on here. The accelerometer is a sensor for measuring acceleration, which can measure the acceleration of the vehicle on the X, Y and Z axes. The accelerometer is fixed to the vehicle. By analyzing the acceleration data, the acceleration of the vehicle can be calculated. The tire offset direction is detected by the gyroscope. The gyroscope can sense and measure the angular velocity and angular acceleration of an object. By installing a gyroscope near the vehicle tire or wheel hub, the rotation direction and speed change of the tire can be measured in real time, thereby inferring the tire offset direction.

[0028] The safety thresholds for slip and deviation are obtained based on big data. When the slip and deviation exceed the safety thresholds, it is determined that a safety threat is posed to the vehicle's driving process. After the safety threat is determined, a signal is sent to the vehicle's tire correction system to make corrections and correct the vehicle's tires.

[0029] The expression of the tire motion trajectory during normal driving of the vehicle is obtained as follows:

[0030] Where y1, y2, y3 and y4 are the driving deviation values ​​of the four tires of the vehicle, t is a time point, and E(t) is the movement trajectory of the tires during normal driving; Detection of slip and deviation: Calculate the trajectory deviation and determine whether the vehicle is in a stable state. The calculation formula is:

[0031] Where A(t) is the deviation value of the trajectory, N is the number of vehicle tires, y1 is a set of vehicle tires, is the average lateral position of all tires. The average lateral position of the vehicle tires is obtained by using the vehicle's four-wheel aligner to monitor and obtain the lateral position changes of the vehicle tires during driving. t is a time point; When one wheel of the vehicle significantly deviates from the track of other wheels, it is considered that the vehicle is slipping and deviating. The judgment is in the form of: A(t)>y1(t) It can be determined that the vehicle is skidding.

[0032] In the present application, the motion trajectory of the tires of the vehicle during normal driving is obtained by installing a camera on the vehicle or using a road monitoring camera to record the tires of the vehicle during driving. This method can capture the motion state of the tires in real time, including the rotation of the tires, the contact points with the ground, and the motion trajectory. Use a high-definition digital camera to take pictures of vehicle tires, especially in specific test sites or road tests. When taking pictures, focus on every key position of the tire to ensure that the movement trajectory of the tire can be clearly captured. The four-wheel alignment instrument is an instrument used to detect the alignment parameters of automobile wheels. By measuring the angle and position of the wheel and comparing it with the original design parameters, the wheel alignment status can be evaluated and adjusted. It is used to improve driving quality and safety, prevent vehicle deviation, increase driving stability, reduce tire wear, extend tire service life, reduce wear between tires and steering mechanisms, reduce the probability of failure, and improve driving controllability and driving economy.

[0033] The safety threshold is derived from statistical analysis of historical data. The historical data includes the actual conditions of vehicle skidding and deviation on different road surfaces, at different speeds and in different weather conditions, and their correlation with accidents. Through machine learning, it is identified that when the skidding rate and deviation exceed specific values, the risk of vehicle accidents increases significantly. This specific value is the safety threshold.

[0034] In this application, by setting a safety threshold, a warning can be issued before the vehicle's slip rate and offset reach a dangerous level, so that the vehicle can automatically take corresponding measures when approaching or reaching the safety threshold, such as increasing braking force and adjusting the body posture to maintain vehicle stability.

[0035] The safety judgment formula is expressed as:

[0036] Where B is the judgment result of security threat, 0 means no threat, 1 means threat, A(t) is the trajectory deviation value obtained by the current vehicle, and S is the obtained security threshold.

[0037] Reference Figure 3As shown, the tire correction analysis module analyzes the tire posture based on the data collected in real time by the data acquisition module. The analysis is to determine the impact of the degree of slip and offset on driving safety and formulate a correction strategy. The correction strategy includes: optimizing the braking force distribution of each wheel to restore the traction and stability of the vehicle; Control engine torque output to increase traction on slipping tires and reduce slipping; According to the vehicle's current state and future driving path, the steering angles of the front and rear wheels are adjusted to assist the vehicle in quickly restoring a stable driving trajectory.

[0038] Through real-time data collection and analysis, the tire correction analysis module of this application can quickly identify tire slippage and deviation, and immediately trigger correction strategies to effectively prevent potential safety risks. It adjusts the steering angles of the front and rear wheels according to the current state of the vehicle and the future driving path, which not only helps the vehicle to quickly restore a stable driving trajectory, but also improves the vehicle's handling and response speed.

[0039] The formula analyzed in the tire correction analysis module is expressed as:

[0040] in is the deviation value, E(t) is the tire movement trajectory during normal driving, and A(t) is the deviation value of the trajectory. According to the obtained deviation result, a correction strategy is formulated, and the set correction strategy is uploaded to the vehicle's tire correction system, and correction is performed quickly when needed.

[0041] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0042] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An automobile safety detection system based on whole vehicle environment simulation, characterized in that: include: Environmental simulation module, safety test module, data acquisition module, safety analysis module and tire correction analysis module; The environmental simulation module is used to simulate a severe cold environment in the test room, obtain the safety data of the vehicle driving in the environment based on the data acquisition module, and transmit the data to the safety analysis module for analysis; The safety test module is used to test the vehicle in a whole vehicle simulation environment; The data acquisition module acquires the motion trajectory data of the tire correction analysis module in real time, and uploads the motion trajectory data to the safety test module; The safety analysis module analyzes the four-wheel motion trajectory of the current vehicle based on the trajectory analysis algorithm; The tire correction analysis module analyzes the tire posture based on the analysis results of the safety analysis module, sets a correction strategy, and uploads the set correction strategy to the vehicle's tire correction system. When the tire slips and deviates, the vehicle tire is controlled to correct the deviation and move safely.

2. The automobile safety detection system based on whole vehicle environment simulation according to claim 1 is characterized in that: The environmental simulation module simulates the icy road conditions in cold winter and conducts vehicle driving experiments. The safety test module places the vehicle on the simulated road surface for driving simulation and performs driving simulation at different speeds. The data acquisition module collects the tire data of the vehicle and uploads it to the safety analysis module for analysis. The data acquisition module integrates an accelerometer, gyroscope, GPS receiver and tire pressure sensor to accurately collect the vehicle's speed, acceleration and tire offset direction while the vehicle is driving.

3. The automobile safety detection system based on whole vehicle environment simulation according to claim 1 is characterized in that: The safety analysis module pre-processes the acquired data and extracts feature data. By comparing the trajectories of the wheels passing through the ice at different speeds, it further analyzes the deviation of the four-wheel motion trajectory. Based on big data, the tire trajectory of the vehicle during normal driving is obtained. When the vehicle is driving normally in a straight line, the tire trajectories remain parallel and have a certain spacing. When turning, the trajectories of the inner and outer wheels have a reasonable difference to form a smooth turning path. Based on the collected data, it is compared with the tire trajectory during normal driving to check whether there is any deviation and detect whether the vehicle tires are slipping and offset.

4. The automobile safety detection system based on whole vehicle environment simulation according to claim 3 is characterized in that: The safety thresholds for slip and deviation are obtained based on big data. When the slip and deviation exceed the safety thresholds, it is determined that a safety threat is posed to the vehicle's driving process. After the safety threat is determined, a signal is sent to the vehicle's tire correction system to make corrections and correct the vehicle's tires.

5. The automobile safety detection system based on whole vehicle environment simulation according to claim 3 is characterized in that: The expression of the tire motion trajectory during normal driving of the vehicle is obtained as follows: Where y1, y2, y3 and y4 are the driving deviation values ​​of the four tires of the vehicle, t is a time point, and E(t) is the movement trajectory of the tires during normal driving; Detection of slip and deviation: Calculate the trajectory deviation and determine whether the vehicle is in a stable state. The calculation formula is: Where A(t) is the deviation value of the trajectory, N is the number of vehicle tires, y1 is a set of vehicle tires, is the average lateral position of all tires. The average lateral position of the vehicle tires is obtained by using the vehicle's four-wheel aligner to monitor and obtain the lateral position changes of the vehicle tires during driving. t is a time point; When one wheel of the vehicle significantly deviates from the track of other wheels, it is considered that the vehicle is slipping and deviating. The judgment is in the form of: A(t)>y1(t) It can be determined that the vehicle is skidding.

6. The automobile safety detection system based on whole vehicle environment simulation according to claim 4 is characterized in that: The safety threshold is derived from statistical analysis of historical data. The historical data includes the actual conditions of vehicle skidding and deviation on different road surfaces, at different speeds and in different weather conditions, and their correlation with accidents. Through machine learning, it is identified that when the skidding rate and deviation exceed specific values, the risk of vehicle accidents increases significantly. This specific value is the safety threshold.

7. The automobile safety detection system based on whole vehicle environment simulation according to claim 6 is characterized in that: The safety judgment formula is expressed as: Where B is the judgment result of security threat, 0 means no threat, 1 means threat, A(t) is the trajectory deviation value obtained by the current vehicle, and S is the obtained security threshold.

8. The automobile safety detection system based on whole vehicle environment simulation according to claim 1 is characterized in that: The tire correction analysis module analyzes the tire posture based on the data collected in real time by the data acquisition module. The analysis aims to determine the impact of the degree of slip and offset on driving safety and formulate a correction strategy. The correction strategy includes: optimizing the braking force distribution of each wheel to restore the vehicle's traction and stability; Control engine torque output to increase traction on slipping tires and reduce slipping; According to the vehicle's current state and future driving path, the steering angles of the front and rear wheels are adjusted to assist the vehicle in quickly restoring a stable driving trajectory.

9. The automobile safety detection system based on whole vehicle environment simulation according to claim 8 is characterized in that: The formula analyzed in the tire correction analysis module is expressed as: in is the deviation value, E(t) is the tire movement trajectory during normal driving, A(t) is the deviation value of the trajectory, and the correction strategy is formulated based on the obtained deviation results.

10. The automobile safety detection system based on whole vehicle environment simulation according to claim 1, characterized in that: Upload the set correction strategy to the vehicle's tire correction system and quickly perform correction when needed.

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