A form matching system and method applied to damping control

Abstract

The application relates to a table matching system and method applied to damping control, which comprises an establishment module of a whole vehicle multi-body dynamics model, a decision information orthogonal test module, a multi-factor automatic iteration optimization module, a strategy packaging module and a control table calibration module; the establishment module of the whole vehicle multi-body dynamics model comprises a cab front suspension damping model, a cab rear suspension damping model, a chassis front suspension damping model, a chassis rear suspension damping model and other necessary structure models; the decision information orthogonal test module carries out orthogonal test combination of decision information and cab suspension damping and chassis suspension damping, wherein the decision information comprises road surface information, load information, speed information or other information; the multi-factor automatic iteration optimization module; the control table calibration module calibrates the whole vehicle installed on a calibration bench, determines the corresponding relationship between the decision information and the damping and writes the multi-dimensional scalable damping control table.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of form matching, in particular to a form matching system and method applied to damping control. BACKGROUND

[0002] With the development of technology and the increasing demand of consumers for vibration comfort, active damping control technology has developed greatly. By adjusting the damping adaptability for different road conditions, the maximization of vibration energy attenuation is realized. The current damping active control technology includes:

[0003] ① Semi-active damping control technology, which divides the road into two or three types, sets a set of damping parameters for each type of road, and adjusts the damping according to the trigger condition, so as to realize the vibration attenuation of the whole vehicle on different roads. The advantage of this technology is low cost, and the disadvantage is that the damping is only two or three levels and cannot be expanded, so the adaptability to different roads is poor, resulting in poor vibration energy attenuation effect;

[0004] ② Real-time damping control technology, which adjusts and controls the damping in real time by obtaining real-time road information, so as to realize real-time vibration attenuation of the whole vehicle on different roads. The advantage of this technology is good vibration energy attenuation effect, and the disadvantage is that the real-time control requires the system response time to be less than 5 milliseconds, which puts high requirements on software and hardware and algorithm, resulting in high cost.

[0005] The control form proposed in the present application is applied to a new whole vehicle damping active control system. By using the form, the system can realize the scalability of damping adaptation, and can have the low-cost advantage of semi-active damping control technology and the vibration reduction effect of real-time damping control technology. As the core of the control system and a new technical route, whether the control form can be established and matched accurately and at low cost is directly related to the cost and effect of the damping active control system. The main technical difficulties include:

[0006] ① There is no mature technical route for establishing the control form for reference, and a standard form establishment method and process need to be constructed for system development reference and application;

[0007] ② There is no mature method for matching the control form for reference. If the traditional real vehicle test calibration method is used for matching, the problem of high cost and long cycle will be faced. SUMMARY

[0008] The present application is proposed to solve the problems in the prior art, and aims to provide a form matching system and method applied to damping control, which shortens the real vehicle test calibration cycle.

[0009] A form matching system applied to damping control, comprising a whole vehicle multi-body dynamics model establishing module, a decision information orthogonal test module, a multi-factor automatic iteration optimization module, a strategy encapsulation module and a control form calibration module.

[0010] Preferably, the whole vehicle multi-body dynamics model establishing module comprises a cab front suspension damping model, a cab rear suspension damping model, a chassis front suspension damping model, a chassis rear suspension damping model and other necessary structure models.

[0011] Preferably, the decision information orthogonal test module combines decision information with cab suspension damping and chassis suspension damping through orthogonal test, wherein the decision information comprises road surface information, load information, speed information or other information.

[0012] Preferably, the multi-factor automatic iteration optimization module performs joint simulation through iSight software and Trucksim software, performs factor coupling analysis on the relationship between single factors of decision information and damping, and determines a target function as a whole vehicle ride comfort index.

[0013] Preferably, the strategy encapsulation module encapsulates empirical formula between decision information and damping and information mutation nodes into a strategy and installs the strategy on the whole vehicle.

[0014] Preferably, the control form calibration module calibrates the whole vehicle on a calibration bench, determines the corresponding relationship between decision information and damping, and writes the corresponding relationship into a multi-dimensional scalable damping control form.

[0015] A form matching method applied to damping control, comprising the following steps:

[0016] 1) establishing a whole vehicle multi-body dynamics model through Trucksim software;

[0017] 2) determining decision information of a control form, combining the decision information with cab suspension damping and chassis suspension damping through DOE test, and solidifying the decision information in iSight software;

[0018] 3) performing joint simulation through iSight software and Trucksim software, performing factor coupling analysis on the relationship between single factors of decision information and damping, and determining a target function as a whole vehicle ride comfort index;

[0019] 4) summarizing empirical formula between decision information and damping and information mutation nodes through factor coupling analysis, encapsulating the empirical formula and information mutation nodes into a control strategy, and installing the control strategy on the whole vehicle;

[0020] 5) input the decision information into the whole vehicle calibration bench, calibrate the whole vehicle installed on the calibration bench, and finally determine the correspondence between the decision information and the damping to be written into the multi-dimensional scalable damping control table.

[0021] Preferably, the decision information is road surface information, load information, speed information or other information.

[0022] The present application designs a table matching system and method applied to damping control, 1) the present application constructs a brand-new control table establishment and matching system, filling the blank of engineering practice application;

[0023] 2) the present application adopts the joint simulation mode to establish the control table, greatly shortening the establishment period;

[0024] 3) the present application adopts the calibration bench to perform the final table matching, shortening the calibration period. BRIEF DESCRIPTION OF DRAWINGS

[0025] Fig. 1 It is a whole structure schematic diagram of the present application.

[0026] Fig. 2 It is a principle diagram of the multi-dimensional scalable control table of the present application. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0028] The embodiments of the present application are described below with reference to Figs. 1-2 A table matching system applied to damping control, comprising a whole vehicle multi-body dynamics model establishment module, a decision information orthogonal test module, a multi-factor automatic iteration optimization module, a strategy encapsulation module and a control table calibration module.

[0029] The whole vehicle multi-body dynamics model establishment module comprises a cab front suspension damping model, a cab rear suspension damping model, a chassis front suspension damping model, a chassis rear suspension damping model and other necessary structure models.

[0030] The decision information orthogonal test module combines the decision information with the cab suspension damping and the chassis suspension damping for orthogonal test, wherein the decision information comprises road surface information, load information, speed information or other information.

[0031] A multi-factor automatic iteration optimization module, through joint simulation of iSight software and Trucksim software, carries out factor coupling analysis on the relationship between single factors of decision information and damping, and determines the target function as the vehicle ride comfort index.

[0032] A strategy packaging module, which packages the empirical formula between decision information and damping and the information mutation node into a strategy and installs it on the vehicle.

[0033] A control table calibration module, which calibrates the vehicle installed on a calibration bench, determines the corresponding relationship between decision information and damping, and writes it into a multi-dimensional scalable damping control table.

[0034] A table matching method applied to damping control:

[0035] First, Trucksim software is used to establish a vehicle multi-body dynamics model and a road model (or a load model, a speed model, other models, which should be matched with the decision information options in the second step), which must include cab front suspension damping model, cab rear suspension damping model, chassis front suspension damping model, chassis rear suspension damping model and other necessary structure models.

[0036] Second, determine the decision information of the control table. The decision information can be road information, load information, speed information or other information. The decision information is mainly used as an independent variable for damping adjustment. The decision information can be a single variable or a combination of multiple variables, which mainly depends on the system requirements. At the same time, the classification of a certain decision information can be more or less, for example, the road can be divided into 3 levels or 10 levels, which mainly depends on the cost requirements and the requirements of the damping effect. The scalability of such decision information types and classifications is the embodiment of the advantage of the control table. If the system aims to reduce the damping effect, the type and classification information can be refined, and if the system aims to reduce the cost, the type and classification information can be made rough, so as to balance the cost and the damping effect. After the type and classification of the decision information are determined, it needs to be combined with the cab suspension damping and the chassis suspension damping for DOE test (orthogonal test), and solidified in the iSight software;

[0037] Third, joint simulation of iSight software and Trucksim software is carried out to analyze the relationship between single factors of decision information and damping, and determine the target function as the vehicle ride comfort index.

[0038] Fourth, through the multi-factor coupling analysis of the third step, the empirical formula between decision information and damping and the information mutation node are summarized, and both are packaged as a control strategy and installed on the vehicle.

[0039] In the fifth step, the road information (or load information, speed information, other information) corresponding to the second step is input into the whole vehicle calibration bench, the whole vehicle is installed on the calibration bench for calibration, and finally the corresponding relationship between the decision information and the damping written in the multi-dimensional scalable damping control table is determined.

[0040] It should be noted that the relational terms herein, such as first and second, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0041] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, alternatives, and variations can be made in the embodiments without departing from the spirit and scope of the present application as defined by the appended claims and their equivalents.

Claims

1. A form matching system applied to damping control, characterized in that, It includes modules for establishing a multibody dynamics model of the whole vehicle, orthogonal testing of decision information, automatic iterative optimization of multiple factors, strategy encapsulation, and control form calibration. The module for establishing the multibody dynamics model of the whole vehicle includes the front suspension damping model of the cab, the rear suspension damping model of the cab, the front suspension damping model of the chassis, the rear suspension damping model of the chassis, and other necessary structural models. The decision information orthogonal test module combines decision information with cab suspension damping and chassis suspension damping in orthogonal tests. The decision information includes road surface information, load information, speed information, or other information. The multi-factor automatic iterative optimization module uses iSight software and Trucksim software to perform joint simulation, conduct factor coupling analysis on the relationship between single factors and damping of decision information, and determine the objective function as the overall vehicle ride comfort index. The strategy encapsulation module is used to encapsulate the empirical formula between decision information and damping, as well as the nodes of information mutation, into a strategy and install it on the whole vehicle. The control form calibration module calibrates the entire vehicle on a calibration bench, determines the correspondence between decision information and damping, and writes it into a multidimensional scalable damping control form.

2. A form matching method for damping control based on claim 1, characterized in that, Includes the following steps: 1) Establish a multibody dynamics model of the entire vehicle using Trucksim software; 2) Determine the decision information of the control form, and combine the decision information with the cab suspension damping and chassis suspension damping through DOE tests, and then solidify it in the iSight software; 3) The iSight and Trucksim software were used for joint simulation to perform factor coupling analysis on the relationship between single factors and damping of decision information, and the objective function was determined to be the overall vehicle ride comfort index. 4) Factor coupling analysis summarizes the empirical formulas between decision information and damping, as well as the nodes of information mutation, and encapsulates the empirical formulas and nodes of information mutation into control strategies and installs them in the whole vehicle. 5) Input the decision information into the vehicle calibration bench, install the vehicle on the calibration bench for calibration, and finally determine the correspondence between the decision information and the damping and write it into the multidimensional scalable damping control form.

3. The form matching method for damping control according to claim 2, characterized in that, The decision information includes road surface information, load information, speed information, or other information.

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