Steering-by-wire data intelligent processing system based on data multi-source analysis

Abstract

The invention discloses a steer-by-wire data intelligent processing system based on data multi-source analysis, and relates to the technical field of data processing, and the steer-by-wire data intelligent processing system comprises the following steps: obtaining a steer-by-wire vehicle; obtaining dynamic driving information; traversing and matching the dynamic vehicle information in a steer-by-wire database to obtain prediction response information; the prediction response information is calibrated in combination with the dynamic road information, and target response information is obtained; a vehicle body transverse load transfer rate evaluation strategy is called to evaluate and analyze the target response information, and a target vehicle body transverse load transfer rate is obtained; and when the target vehicle body transverse load transfer rate is not in the transfer rate limiting value, emergency steering regulation and control are conducted on the steer-by-wire vehicle. The technical problem that in the dynamic driving process of the vehicle in the prior art, a steer-by-wire system is difficult to flexibly adjust, and consequently the transverse stability of the vehicle is insufficient is solved, and the technical effect of improving the steering stability and safety of the vehicle is achieved by analyzing the stability of the vehicle and triggering emergency steering regulation in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an intelligent processing system for steer-by-wire data based on multi-source data analysis. Background Art

[0002] With the rapid development of modern automotive electronic control technology, the wire-controlled steering system has gradually become a key component of the vehicle control system. The wire-controlled steering system abandons the steering shaft and mechanical connection in the traditional mechanical steering system, and instead relies on electronic signals and electronic control units to realize the transmission of steering operation instructions. This system improves the driving flexibility and response speed of the vehicle, and lays the foundation for the integration of autonomous driving and intelligent driving functions. The current wire-controlled steering system relies on a variety of sensors to obtain vehicle dynamic status and external environment information. However, these data sources are different and of various types, which makes it difficult for the system to efficiently integrate and process multi-source data when facing complex road conditions or dynamic driving scenarios, and it is impossible to predict and control the vehicle status in a timely and accurate manner. In this case, if it is not handled properly, it may lead to a decrease in the lateral stability of the vehicle, especially in high-speed turns, emergency avoidance or bad weather conditions, and there are safety hazards such as skidding and rollover. Summary of the invention

[0003] The present application provides an intelligent processing system for steer-by-wire data based on multi-source data analysis, which is used to solve the technical problem in the prior art that the steer-by-wire system is difficult to flexibly adjust during the dynamic driving of the vehicle, resulting in insufficient lateral stability of the vehicle.

[0004] In view of the above problems, the present application provides an intelligent processing system for steer-by-wire data based on multi-source data analysis.

[0005] The present application provides a steer-by-wire data intelligent processing system based on multi-source data analysis, the system comprising: A steering vehicle acquisition module, wherein the steering vehicle acquisition module acquires a steer-by-wire vehicle, wherein the steer-by-wire vehicle has an identifier of initial static load information; a driving information acquisition module, wherein the driving information acquisition module acquires dynamic driving information, wherein the dynamic driving information includes dynamic vehicle information and dynamic road information, wherein the dynamic vehicle information refers to dynamic driving monitoring information of the steer-by-wire vehicle; a traversal matching module, wherein the traversal matching module traverses and matches the dynamic vehicle information in a steer-by-wire database to obtain predicted response information, wherein the steer-by-wire database refers to a database of similar vehicles of the steer-by-wire vehicle obtained by testing under a dynamic test mechanism with the initial static load information as a test constraint; a calibration module, wherein the calibration module calibrates the predicted response information in combination with the dynamic road information to obtain target response information; an evaluation and analysis module, wherein the evaluation and analysis module retrieves a vehicle body lateral load transfer rate evaluation strategy to evaluate and analyze the target response information to obtain a target vehicle body lateral load transfer rate; and a steering control module, wherein the steering control module is used to perform emergency steering control on the steer-by-wire vehicle when the target vehicle body lateral load transfer rate is not at a transfer rate limit.

[0006] The technical solution provided in this application has at least the following technical effects or advantages: The present application obtains a steer-by-wire vehicle, which has an identification of initial static load information; obtains dynamic driving information, which includes dynamic vehicle information and dynamic road information, wherein the dynamic vehicle information refers to dynamic driving monitoring information of the steer-by-wire vehicle; traverses and matches the dynamic vehicle information in a steer-by-wire database to obtain predicted response information, wherein the steer-by-wire database refers to a database of similar vehicles of the steer-by-wire vehicle obtained by testing under a dynamic test mechanism with initial static load information as a test constraint; calibrates the predicted response information in combination with the dynamic road information to obtain target response information; retrieves a vehicle body lateral load transfer rate evaluation strategy to evaluate and analyze the target response information to obtain a target vehicle body lateral load transfer rate; and performs emergency steering control on the steer-by-wire vehicle when the target vehicle body lateral load transfer rate is not at the transfer rate limit. The present invention solves the technical problem in the prior art that, during the dynamic driving of the vehicle, the wire-controlled steering system is difficult to flexibly adjust, resulting in insufficient lateral stability of the vehicle. The present invention integrates dynamic vehicle information and dynamic road information, matches them in a wire-controlled steering database, obtains predicted response information and performs calibration, and then uses a lateral load transfer rate evaluation strategy to analyze the vehicle stability. When the transfer rate exceeds the limit, emergency steering control is triggered, thereby achieving the technical effect of improving the steering stability and safety of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic diagram of the structure of a steer-by-wire data intelligent processing system based on multi-source data analysis provided in an embodiment of the present application; Figure 2 A schematic flow chart of a method for intelligently processing steer-by-wire data based on multi-source data analysis provided in an embodiment of the present application.

[0009] Explanation of the reference numerals: steering vehicle acquisition module 11 , driving information acquisition module 12 , traversal matching module 13 , calibration module 14 , evaluation and analysis module 15 , steering control module 16 . DETAILED DESCRIPTION

[0010] The present application provides an intelligent processing system for steer-by-wire data based on multi-source data analysis, aiming to solve the technical problem in the prior art that the steer-by-wire system is difficult to flexibly adjust during the dynamic driving of the vehicle, resulting in insufficient lateral stability of the vehicle. By integrating dynamic vehicle information and dynamic road information, matching is performed in the steer-by-wire database, and predictive response information is obtained and calibrated. Subsequently, the lateral load transfer rate evaluation strategy is used to analyze the vehicle stability. When the transfer rate exceeds the limit, emergency steering control is triggered, thereby achieving the technical effect of improving the steering stability and safety of the vehicle.

[0011] 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, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0012] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0013] like Figure 1 As shown, the present application provides a steer-by-wire data intelligent processing system based on multi-source data analysis, which is used to perform the following Figure 2The system of the intelligent processing method of wire control steering data based on multi-source data analysis shown in the figure includes: The steering vehicle acquisition module 11 acquires a steer-by-wire vehicle, wherein the steer-by-wire vehicle has an identifier of initial static load information.

[0014] In the embodiment of the present application, the steering vehicle acquisition module establishes a connection with the wire-controlled steering vehicle through the vehicle-mounted communication network. Once the connection is successful, the initial static load data of the vehicle is extracted from the vehicle control system. The initial static load information is the pre-calibrated basic load data of the vehicle in a stationary state or under a calibrated working condition, including the load distribution of the four tires of the vehicle, the setting parameters of the suspension system, etc.

[0015] The driving information acquisition module 12 acquires dynamic driving information, wherein the dynamic driving information includes dynamic vehicle information and dynamic road information, wherein the dynamic vehicle information refers to dynamic driving monitoring information of the steer-by-wire vehicle.

[0016] In the embodiment of the present application, the driving information acquisition module first activates the sensor component, which includes a vehicle monitoring unit and a road monitoring unit. The vehicle monitoring unit monitors the driving state of the steer-by-wire vehicle in real time, and obtains various predetermined parameter information generated by the vehicle during dynamic driving, such as the vehicle's speed, steering angle, roll angle, lateral acceleration, etc., to form dynamic vehicle information. At the same time, the road monitoring unit monitors the road that the vehicle is traveling on in real time, collects predetermined road parameter information, such as the flatness of the road surface, wind speed and direction, temperature, humidity, etc., to generate dynamic road information.

[0017] Furthermore, the system provided in the application embodiment is also used for: Activate a sensor component, the sensor component comprising a vehicle monitoring unit and a road monitoring unit; monitor the driving of the steer-by-wire vehicle through the vehicle monitoring unit to obtain the dynamic vehicle information, wherein the dynamic vehicle information refers to parameter information of a predetermined vehicle index; monitor the road traveled by the steer-by-wire vehicle through the road monitoring unit to obtain the dynamic road information, wherein the dynamic road information refers to parameter information of a predetermined road index; the dynamic vehicle information and the dynamic road information constitute the dynamic driving information.

[0018] In an embodiment of the present application, the sensor assembly includes a vehicle monitoring unit and a road monitoring unit. In order to obtain dynamic road information, the sensor assembly is first activated, and the driving of the steer-by-wire vehicle is monitored through the vehicle monitoring unit. At this time, the vehicle monitoring unit collects the vehicle's status information in real time through sensors inside the vehicle, such as speed sensors, steering wheel angle sensors, accelerometers, etc. The collected information includes parameter information of predetermined vehicle indicators, such as the vehicle's speed, steering wheel angle, lateral acceleration, etc., and these parameters together constitute dynamic vehicle information.

[0019] At the same time, the road conditions on which the vehicle is traveling are monitored through the road monitoring unit. The road monitoring unit relies on external sensors installed on the vehicle, such as cameras, lidar, wind speed sensors, etc. to obtain road environmental information. This information includes predetermined road indicators such as road flatness, wind speed and direction, temperature, humidity, etc., which together constitute dynamic road information.

[0020] After the dynamic vehicle information is acquired through the vehicle monitoring unit and the dynamic road information is acquired through the road monitoring unit, these two pieces of information are integrated to form dynamic driving information.

[0021] The traversal matching module 13 traverses and matches the dynamic vehicle information in a steer-by-wire database to obtain predicted response information. The steer-by-wire database refers to a database of similar vehicles to the steer-by-wire vehicle obtained by testing under a dynamic test mechanism with the initial static load information as a test constraint.

[0022] In the embodiment of the present application, the traversal matching module traverses and matches the dynamic vehicle information in the wire steering database to obtain the predicted response information. The wire steering database is pre-constructed and is a database obtained by testing similar vehicles of the wire steering vehicle under a dynamic test mechanism with initial static load information as a test constraint.

[0023] When the traversal matching module traverses and matches the dynamic vehicle information in the online steering database, the current parameters of the vehicle are compared with the historical data stored in the database through similarity calculation, such as Euclidean distance or cosine similarity, and the similarity between each historical record and the current state is calculated. When the similarity reaches a preset threshold, the predicted response information in the record with the similarity reaching the threshold is extracted. The predicted response information refers to the vehicle response data obtained based on historical tests, including lateral load transfer, changes in vehicle roll angle, and steering performance of the vehicle under specific dynamic conditions.

[0024] Furthermore, the system provided in the application embodiment is also used for: A first test scheme is generated according to the dynamic test mechanism; a driving test process of the first test scheme is recorded for the same type of vehicle under the test constraints to obtain a first test record; a predetermined vehicle response index is read; first vehicle response information in the first test record extracted based on the predetermined vehicle response index is standardized to obtain a first response index, and a first vehicle body lateral load transfer rate is determined in combination with the first response index; and the steer-by-wire database is constructed based on a first mapping relationship between the first test scheme, the first vehicle response information and the first vehicle body lateral load transfer rate.

[0025] In the embodiment of the present application, firstly, the first test scheme is generated according to the dynamic test mechanism. The dynamic test mechanism is designed based on the physical characteristics of the vehicle, the initial static load information, and different dynamic driving conditions. Specifically, a plurality of dynamic driving scenes are generated by a computer simulation system such as MATLAB, and these scenes cover typical operations such as acceleration, deceleration, and turning of the vehicle. Afterwards, the initial static load information is configured for each vehicle, and the test conditions are designed according to the physical parameters of the vehicle and different road conditions. The generated first test scheme includes specific test parameters such as vehicle speed, steering angle, lateral acceleration, etc. Next, the driving test process of the first test scheme is recorded for similar vehicles under test constraints, and the dynamic data of the vehicle is collected in real time using sensors installed on the vehicle to obtain the first test record. The first test record includes dynamic parameters such as the speed, acceleration, and steering angle of the vehicle.

[0026] After obtaining the first test record, the predetermined vehicle response indicators are extracted, including lateral acceleration, vehicle roll angle, wheel load transfer, etc. These indicators are then standardized, and the data under different test scenarios can be compared on the same scale by using a normalization algorithm or Z-score standardization. After processing, the first response index is calculated based on the standardized data. Specifically, when performing the calculation, the weighted average method is used, and the weight of the vehicle response indicator is pre-set by the technical experts.

[0027] Next, the first body lateral load transfer rate is calculated by a pre-stored formula according to the first response index. The lateral load transfer rate is an indicator of how the body load is transferred from one side to the other side of the vehicle under the action of lateral acceleration.

[0028] Finally, the steer-by-wire database is constructed based on the mapping relationship between the first test scheme, the first vehicle response information, and the first body lateral load transfer rate. The mapping relationship refers to the association between the vehicle response behavior and the body lateral load transfer under different test conditions. The data of each test is structured and stored in the database, including the input (test conditions, vehicle parameters) and output (vehicle response information, load transfer rate) of each dynamic test. Through this process, the construction of the steer-by-wire database is completed.

[0029] Furthermore, the system provided in the application embodiment is also used for: Extracting a first vehicle index from the predetermined vehicle indexes; initializing and setting a first parameter of the first vehicle index according to the dynamic test mechanism, and generating the first test plan based on the first parameter; wherein the predetermined vehicle indexes include steering angle, wheel speed, and acceleration.

[0030] In an embodiment of the present application, a first vehicle index is extracted from predetermined vehicle indexes. The predetermined vehicle indexes include steering angle, wheel speed, and acceleration. First, any one of them is selected as the first vehicle index. For example, the steering angle is selected as the first vehicle index. The steering angle is obtained through a steering angle sensor on a steering wheel or wheel. It reflects the change in the steering angle of the vehicle when turning, and directly affects the performance of the vehicle on a curve.

[0031] Once the first vehicle indicator is selected, the indicator is initialized according to the dynamic test mechanism, that is, the first parameter is set. If the first vehicle indicator selected is the steering angle, set a reasonable steering angle range, such as ±30 degrees, to simulate driving scenarios with different turning angles. If the first vehicle indicator selected is the wheel speed, set a speed range, such as 20 to 80 kilometers per hour, to cover low-speed and high-speed driving scenarios. If the first vehicle indicator selected is acceleration, set an acceleration parameter range, such as 0 to 0.5g, to simulate the change in lateral acceleration of the vehicle during turning.

[0032] Next, to generate a complete test plan, set parameters for the steering angle, wheel speed, and acceleration. For example, set a range of ±30 degrees for the steering angle to simulate small to large angle turns; set a range of 20 to 80 kilometers per hour for the wheel speed to reflect different operating conditions from low speed to high speed; and set a range of 0 to 0.5g for the acceleration to simulate the lateral acceleration of the vehicle when turning. These parameter settings are designed to cover the performance of the vehicle under various dynamic driving conditions.

[0033] By setting parameters for each vehicle indicator, a first test scenario is generated.

[0034] Furthermore, the system provided in the application embodiment is also used for: Randomly extract any mapping relationship in the steer-by-wire database, where the arbitrary mapping relationship refers to a mapping relationship between any test scheme, any vehicle response information and any vehicle body lateral load transfer rate; obtain any similarity between the dynamic vehicle information and the arbitrary test scheme; and when the arbitrary similarity reaches a similarity threshold, use the arbitrary vehicle response information as the predicted response information.

[0035] In an embodiment of the present application, an arbitrary mapping relationship is first randomly extracted from the wire control steering database. Each mapping relationship represents the relationship between a specific test scheme, vehicle response information, and the vehicle's body lateral load transfer rate. An arbitrary test scheme refers to a test scenario designed based on different vehicle parameters. Arbitrary vehicle response information refers to the dynamic response of the vehicle under a specific test scheme, such as the vehicle's acceleration, roll angle change, etc. The arbitrary body lateral load transfer rate measures the situation in which the body load is transferred from one side to the other due to the lateral force when the vehicle turns or accelerates laterally.

[0036] After randomly extracting a mapping relationship, the dynamic vehicle information is obtained through the vehicle monitoring equipment. This information includes the actual operating data of the current vehicle, such as the current steering angle, vehicle speed, acceleration, etc. Next, the extracted dynamic vehicle information is similar to any previously randomly extracted test scheme through algorithms such as Euclidean distance or cosine similarity. When the similarity calculation is completed, it is compared with the preset similarity threshold. If the calculation result shows that the similarity between the current dynamic vehicle information and the randomly extracted test scheme reaches or exceeds the threshold value, the vehicle response information in this mapping relationship is used as the predicted response information. The similarity threshold value is pre-set by technical experts.

[0037] Furthermore, in the system provided by the embodiment of the application, the predetermined vehicle response index includes load information, vehicle body roll angle, and lateral acceleration, wherein the expression for determining the first vehicle body lateral load transfer rate in combination with the first response index is as follows: ; in, refers to the first body lateral load transfer rate of the same type of vehicle under the first test scheme, It refers to the first response index, which is the roll angle parameter corresponding to the body roll angle and the lateral acceleration. , lateral acceleration parameters The normalized weighted calculation is obtained, where and are the roll angle parameters With the lateral acceleration parameter The coefficient of variation, , refers to the load information, refers to the initial static load information, Refers to the load change of the tire on the inside of the corner. It refers to the total load capacity of vehicles of the same type as described.

[0038] In the embodiment of the present application, the predetermined vehicle response index includes load information, vehicle body roll angle, and lateral acceleration. The expression for determining the first vehicle body lateral load transfer rate in combination with the first response index is: ;in, It refers to the first body lateral load transfer rate of the same type of vehicle under the first test scheme, Refers to the first response index, which is the roll angle parameter corresponding to the body roll angle and lateral acceleration. , lateral acceleration parameters The normalized weighted calculation is obtained, where and are the roll angle parameters With the lateral acceleration parameter The coefficient of variation, , Pre-set for technical experts, Refers to the load information, refers to the initial static load information, Refers to the load change of the tire on the inside of the corner. It refers to the total load capacity of vehicles of the same type.

[0039] In order to calculate the first response index, the roll angle parameter corresponding to the vehicle body roll angle and lateral acceleration is calculated. , lateral acceleration parameters The normalized weighted calculation is performed, wherein the roll angle parameter is measured by the tilt sensor, and the lateral acceleration parameter is measured by the acceleration sensor. Refers to the load information, i.e. the final load at the end of the turn, measured by the load sensor. Refers to the initial static load information, which is the initial load of the vehicle before it starts turning. It refers to the load change of the inner tire when turning. It is obtained by obtaining wheel load information in real time through pressure sensors installed on the vehicle suspension system or wheels, and calculating the load change of the inner tire when turning. It refers to the total load of the same type of vehicles, that is, the total weight of the vehicle. The first body lateral load transfer rate is calculated by substituting the above data into the expression of the first body lateral load transfer rate.

[0040] Furthermore, the system provided in the application embodiment is also used for: Extract the test load of the inner tire of the turn in the load information; extract the initial load of the inner tire of the turn in the initial static load information; and take the change between the test load and the initial load as the load change.

[0041] In the embodiment of the present application, the test load of the inner tire of the turn is first extracted. The test load refers to the real-time load borne by the inner tire due to the lateral force during the vehicle's turn. The wheel load sensor installed on the tire of the vehicle measures the load change borne by each tire in real time to obtain the test load of the inner tire of the turn.

[0042] Next, extract the initial load of the inner tire of the turn from the initial static load information. The initial static load refers to the load on each tire when the vehicle is stationary and there is no dynamic force acting on it. When the vehicle is stationary, weigh each tire using the onboard load sensor and record the static load of each tire of the vehicle. With these data, determine the initial load of the inner tire before turning.

[0043] Finally, the load change is obtained by subtracting the test load of the inner tire in the corner from the initial static load of the inner tire.

[0044] The calibration module 14 calibrates the predicted response information in combination with the dynamic road information to obtain target response information.

[0045] In the embodiment of the present application, the dynamic road information is first normalized and weighted according to predetermined road indicators, such as flatness, wind speed and direction, temperature, and dryness, so as to calculate the road feedback coefficient. This road feedback coefficient reflects the impact of the current road conditions on the vehicle response. Then, the road feedback coefficient is used as a weighting coefficient to calibrate and adjust various vehicle response indicators in the predicted response information, such as acceleration, steering angle, etc., to obtain the target response information.

[0046] Furthermore, the system provided in the application embodiment is also used for: The dynamic road information is normalized and weighted in combination with the predetermined road index to obtain a road feedback coefficient; each index information in the predicted response information is calibrated using the road feedback coefficient as a weighting coefficient, and the calibration result is constructed to obtain the target response information; wherein the predetermined road index includes flatness, wind speed and direction, temperature, and dryness.

[0047] In an embodiment of the present application, dynamic road information is obtained in real time through a series of sensors according to predetermined road indicators. The predetermined road indicators include flatness, wind speed and direction, temperature, and dryness. To obtain flatness, the unevenness of the road surface is measured by an acceleration sensor installed on the vehicle chassis or wheel. To obtain wind speed and wind direction, the changes in wind speed and wind direction are monitored in real time through a vehicle-mounted meteorological sensor or air pressure sensor. To obtain temperature, the ambient temperature is detected through a vehicle-mounted temperature sensor. To obtain dryness, the wetness of the road surface is determined through a road humidity sensor or a friction coefficient measuring device.

[0048] After collecting these different road parameters, they are normalized through Z-score standardization. After normalization, each predetermined road indicator is weighted. Different road information has different effects on the dynamic response of the vehicle, and technical experts assign different weights to each indicator. Through weighted calculation, the road feedback coefficient is obtained.

[0049] Next, the predicted response information is calibrated according to the road feedback coefficient. For example, if the predicted braking distance is 50 meters and the generated road feedback coefficient is 1.2, the calibrated braking distance will be adjusted to 60 meters. Through the weighted calibration of the road feedback coefficient, the target response information is generated, which includes the corrected acceleration, braking distance, steering angle, etc.

[0050] The evaluation and analysis module 15 retrieves a vehicle body lateral load transfer rate evaluation strategy to evaluate and analyze the target response information to obtain a target vehicle body lateral load transfer rate.

[0051] In the embodiment of the present application, the vehicle body lateral load transfer rate evaluation strategy evaluates and analyzes the target response information by calling the calculation formula of the lateral load transfer rate. The evaluation and analysis module extracts key data related to the calculation of the lateral load transfer rate from the target response information, including lateral acceleration, steering angle, tire load information, etc. Next, the change in the inner tire load, the normalized value of the load change, the weighted combination of the roll angle and the lateral acceleration, and the response index are calculated, and all parameters are substituted into the formula of the lateral load transfer rate to calculate the target vehicle body lateral load transfer rate.

[0052] The steering control module 16 is used to perform emergency steering control on the steer-by-wire vehicle when the target vehicle body lateral load transfer rate is not within the transfer rate limit.

[0053] In the embodiment of the present application, the target vehicle body lateral load transfer rate is compared with the preset transfer rate limit. If the target vehicle body lateral load transfer rate exceeds the preset transfer rate limit, emergency control is triggered. Specifically, the turning radius of the vehicle is reduced by gradually adjusting the steering angle, thereby reducing the lateral acceleration and reducing the lateral load transfer; at the same time, automatic deceleration is activated to reduce the vehicle speed and reduce the effect of centrifugal force. Once the vehicle re-enters the safe range, the emergency control is released and normal driving control is restored.

[0054] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects: The present application obtains a steer-by-wire vehicle, which has an identification of initial static load information; obtains dynamic driving information, which includes dynamic vehicle information and dynamic road information, wherein the dynamic vehicle information refers to dynamic driving monitoring information of the steer-by-wire vehicle; traverses and matches the dynamic vehicle information in a steer-by-wire database to obtain predicted response information, wherein the steer-by-wire database refers to a database of similar vehicles of the steer-by-wire vehicle obtained by testing under a dynamic test mechanism with initial static load information as a test constraint; calibrates the predicted response information in combination with the dynamic road information to obtain target response information; retrieves a vehicle body lateral load transfer rate evaluation strategy to evaluate and analyze the target response information to obtain a target vehicle body lateral load transfer rate; and performs emergency steering control on the steer-by-wire vehicle when the target vehicle body lateral load transfer rate is not at the transfer rate limit. The present invention solves the technical problem in the prior art that, during the dynamic driving of the vehicle, the wire-controlled steering system is difficult to flexibly adjust, resulting in insufficient lateral stability of the vehicle. The present invention integrates dynamic vehicle information and dynamic road information, matches them in a wire-controlled steering database, obtains predicted response information and performs calibration, and then uses a lateral load transfer rate evaluation strategy to analyze the vehicle stability. When the transfer rate exceeds the limit, emergency steering control is triggered, thereby achieving the technical effect of improving the steering stability and safety of the vehicle.

[0055] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0057] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. The intelligent processing system of steer-by-wire data based on multi-source data analysis is characterized by: include: A steering vehicle acquisition module, the steering vehicle acquisition module acquires a steer-by-wire vehicle, the steer-by-wire vehicle having an identifier of initial static load information; A driving information acquisition module, wherein the driving information acquisition module acquires dynamic driving information, wherein the dynamic driving information includes dynamic vehicle information and dynamic road information, wherein the dynamic vehicle information refers to dynamic driving monitoring information of the steer-by-wire vehicle; A traversal matching module, wherein the traversal matching module traverses and matches the dynamic vehicle information in a steer-by-wire database to obtain predicted response information, wherein the steer-by-wire database refers to a database of similar vehicles of the steer-by-wire vehicle obtained by testing under a dynamic test mechanism with the initial static load information as a test constraint; a calibration module, wherein the calibration module calibrates the predicted response information in combination with the dynamic road information to obtain target response information; An evaluation and analysis module, wherein the evaluation and analysis module calls a vehicle body lateral load transfer rate evaluation strategy to evaluate and analyze the target response information to obtain a target vehicle body lateral load transfer rate; A steering control module is used to perform emergency steering control on the steer-by-wire vehicle when the target vehicle body lateral load transfer rate is not within the transfer rate limit.

2. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 1 is characterized in that: include: activating a sensor assembly, the sensor assembly comprising a vehicle monitoring unit and a road monitoring unit; Performing driving monitoring on the steer-by-wire vehicle through the vehicle monitoring unit to obtain the dynamic vehicle information, wherein the dynamic vehicle information refers to parameter information of a predetermined vehicle index; The road on which the steer-by-wire vehicle travels is monitored by the road monitoring unit to obtain the dynamic road information, wherein the dynamic road information refers to parameter information of a predetermined road indicator; The dynamic vehicle information and the dynamic road information constitute the dynamic driving information.

3. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 2 is characterized in that: include: generating a first test plan according to the dynamic test mechanism; Recording a driving test process of the first test scheme for the vehicle of the same type under the test constraints to obtain a first test record; reading predetermined vehicle response indicators; performing standardization processing on first vehicle response information in the first test record extracted based on the predetermined vehicle response index to obtain a first response index, and determining a first vehicle body lateral load transfer rate in combination with the first response index; The steer-by-wire database is constructed based on a first mapping relationship between the first test scheme, the first vehicle response information, and the first vehicle body lateral load transfer rate.

4. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 3 is characterized in that: include: Extracting a first vehicle index from the predetermined vehicle indexes; Initializing and setting a first parameter of the first vehicle indicator according to the dynamic test mechanism, and generating the first test plan based on the first parameter; Wherein, the predetermined vehicle indexes include steering angle, wheel speed, and acceleration.

5. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 3 is characterized in that: The predetermined vehicle response index includes load information, vehicle body roll angle, and lateral acceleration, wherein the expression for determining the first vehicle body lateral load transfer rate in combination with the first response index is as follows: ； in, refers to the first body lateral load transfer rate of the same type of vehicle under the first test scheme, It refers to the first response index, which is the roll angle parameter corresponding to the body roll angle and the lateral acceleration. , lateral acceleration parameters The normalized weighted calculation is obtained, where and are the roll angle parameters With the lateral acceleration parameter The coefficient of variation, , refers to the load information, refers to the initial static load information, Refers to the load change of the tire on the inside of the corner. It refers to the total load capacity of vehicles of the same type as described.

6. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 5 is characterized in that: include: Extracting the test load of the tire on the inner side of the corner from the load information; Extracting the initial load of the inner tire of the corner from the initial static load information; The change between the test load and the initial load is taken as the load change.

7. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 1, characterized in that: include: Randomly extracting any mapping relationship in the steer-by-wire database, wherein the arbitrary mapping relationship refers to a mapping relationship between any test scheme, any vehicle response information and any vehicle body lateral load transfer rate; Obtaining any similarity between the dynamic vehicle information and the any test scheme; When the arbitrary similarity reaches a similarity threshold, the arbitrary vehicle response information is used as the predicted response information.

8. The steer-by-wire data intelligent processing system based on multi-source data analysis according to claim 2, characterized in that: include: Normalizing and weighting the dynamic road information in combination with the predetermined road index to obtain a road feedback coefficient; Calibrate each indicator information in the predicted response information using the road feedback coefficient as a weighting coefficient, and assemble the calibration result to obtain the target response information; Among them, the predetermined road indicators include flatness, wind speed and direction, temperature, and dryness.

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