A high-speed electromagnetic valve eccentric parameter optimization design method

Abstract

The present application belongs to the field of high-speed electromagnetic valve optimization design, and particularly relates to a high-speed electromagnetic valve eccentric parameter optimization method. The method firstly determines the eccentric parameter and its range, constraint conditions, and constructs and determines the optimal proxy model between the eccentric parameter and the opening response time and the closing response time; then constructs a high-speed electromagnetic valve eccentric parameter optimization design mathematical model based on the proxy model; and finally solves the high-speed electromagnetic valve eccentric parameter optimization design mathematical model based on the proxy model to obtain the maximum eccentric parameter value allowed to meet the constraint conditions. The optimization method combines numerical simulation and approximate model, can optimize the high-speed electromagnetic valve armature assembly control parameter at low cost and high efficiency, and helps to improve the high-speed electromagnetic valve armature assembly precision and the consistency of the electromagnetic valve operation.

Description

Technical Field

[0001] This invention belongs to the field of high-speed solenoid valve optimization design, specifically relating to a method for optimizing the eccentric parameters of a high-speed solenoid valve. Background Technology

[0002] Modern high-pressure common rail systems not only allow for flexible adjustment of cyclic injection quantity, injection pattern, and injection pressure, but also enable multiple injections within a single cycle. This multiple-injection strategy allows diesel engines to more flexibly organize controlled combustion, achieving better fuel economy and emissions performance. The high-pressure common rail system achieves this flexible multiple-injection by controlling the on / off state of a high-speed solenoid valve within the injector; therefore, the high-speed solenoid valve is a core component of modern high-pressure common rail injectors. To achieve high-precision and flexible fuel injection patterns, precise adjustment of the opening and closing timing and closing time of the injector's fuel pilot valve is required. However, during the installation of the high-speed solenoid valve, the armature assembly precision cannot be guaranteed, resulting in armature center deviation. This leads to differences in the opening and closing response time of the injector's fuel pilot valve, causing instability in the high-pressure common rail system's injection and significantly reducing injection consistency and reliability. Summary of the Invention

[0003] To address the aforementioned problems, this invention provides a simple, reliable, and efficient method for optimizing the eccentricity parameters of a high-speed solenoid valve under conditions of switch response time deviation limitations.

[0004] The objective of this invention is achieved as follows:

[0005] S1 determines the eccentricity parameters and their range;

[0006] S2 determines the constraints;

[0007] S3 constructs and determines the optimal proxy model between the eccentricity parameter and the on and off response times;

[0008] S4 constructs a mathematical model for optimizing the eccentric parameters of a high-speed solenoid valve based on a proxy model;

[0009] S5 solves the mathematical model for the optimization design of eccentric parameters of high-speed solenoid valves based on the surrogate model, and obtains the maximum allowable value of eccentric parameters that meets the constraints.

[0010] As a further explanation of the above optimization method:

[0011] Furthermore, the setting of the eccentricity parameter in S1 includes:

[0012] Given the deflection angle 'a' around the x-axis, the deflection angle 'b' around the y-axis, and the offset 'L' along the y-axis, the eccentricity parameters for optimizing the eccentricity parameters of a high-speed solenoid valve are:

[0013] X = (a, b, L).

[0014] Furthermore, the constraints in S2 specifically define the range of values ​​for each eccentricity parameter:

[0015] X1 <X<X2;

[0016] X1 is the lower limit of the eccentricity parameter, and X2 is the upper limit of the eccentricity parameter;

[0017] Furthermore, the constraints in S2 are:

[0018] in The opening response time when the armature does not become misaligned. t is the closing response time when the armature does not become eccentric. on To enable the armature response time, t off e is the armature closing response time. on e is the maximum allowable deviation in armature opening response time. off This is the maximum allowable deviation in the armature closing response time.

[0019] Furthermore, the construction and determination of the optimal surrogate model between the eccentricity parameter and the on / off response time, as described in S3, specifically involves:

[0020] S31 uses the optimal Latin hypercube experimental design method to sample the eccentric parameter space and obtain the sample point set A;

[0021] S32 obtains the armature activation response time t corresponding to each sample point in sample point set A through numerical simulation. on and armature closing response time t off This forms the response point set B;

[0022] S33 employs multiple surrogate models to interpolate or fit data with sample point set A and response point set B as samples, constructing the eccentricity parameter X and the armature opening response time t. on Armature closing response time t off We use surrogate models as the intermediate surrogate models and employ leave-one-out cross-validation (LOOCV) to determine the model with the highest accuracy as the optimal surrogate model, i.e., t. on =f(X),t off = g(X), where f(X) and g(X) represent the armature opening response time t, respectively. on Armature closing response time t off The corresponding optimal proxy model.

[0023] Further, the specific expression of the mathematical model for optimizing the eccentric parameter design of the high-speed solenoid valve based on the surrogate model in S4 is as follows:

[0024] Further, in S5, to solve the mathematical model for optimizing the eccentric parameter design of the high-speed solenoid valve based on the surrogate model and obtain the maximum value of the eccentric parameter allowed by the constraint conditions, the specific method is as follows:

[0025] Use the intelligent optimization algorithm to solve the mathematical model for optimizing the eccentric parameter design of the high-speed solenoid valve based on the surrogate model, obtain the multi-objective Pareto solution set, and determine the maximum value of the eccentric parameter allowed by the constraint conditions through multi-objective decision-making means.

[0026] The advantages of this invention are as follows: The method for optimizing the eccentric parameter design of the high-speed solenoid valve in this invention combines numerical simulation and approximate model, constructs and determines the best surrogate model between the eccentric parameter and the opening response time and the closing response time, and constructs a mathematical model for optimizing the eccentric parameter design of the high-speed solenoid valve based on the surrogate model, replacing complex numerical simulation models or physical tests, which can optimize the armature assembly control parameters of the high-speed solenoid valve at low cost and high efficiency, and contribute to improving the armature assembly accuracy of the high-speed solenoid valve and the consistency of the solenoid valve operation. Brief Description of the Drawings

[0027] Figure 1 is a flowchart;

[0028] Figure 2 is a schematic diagram of the eccentric parameter. Detailed Description of the Embodiment

[0029] Combined with Figure 1 The following is a detailed description of the embodiment. A method for optimizing the eccentric parameter design of a high-speed solenoid valve given in this embodiment is as follows.

[0030] S1 Determine the eccentric parameter and its range

[0031] The eccentric parameters include: the deflection angle a rotating around the x-axis, the deflection angle b rotating around the y-axis, and the offset L translating along the y-axis. As Figure 2 shown, the eccentric parameter of the high-speed solenoid valve eccentric parameter optimization problem is X = (a, b, L),

[0032] The corresponding value range is X1 < X < X2, where X1 is the lower limit of the eccentric parameter and X2 is the upper limit of the eccentric parameter.

[0033] S2 Determine the constraint conditions

[0034] Among them The opening response time when the armature does not become misaligned. t is the closing response time when the armature does not become eccentric. on To enable the armature response time, t off e is the armature closing response time. on e is the maximum allowable deviation in armature opening response time. off This is the maximum allowable deviation in the armature closing response time.

[0035] S3 constructs and determines the optimal surrogate model between the eccentricity parameter and the on / off response time.

[0036] S31 uses the optimal Latin hypercube experimental design method to sample the eccentric parameter space and obtain the sample point set A;

[0037] S32 obtains the armature activation response time t corresponding to each sample point in sample point set A through numerical simulation. on and armature closing response time t off This forms the response point set B;

[0038] S33 employs surrogate models such as radial basis function models, neural network models, Kriging models, and quadratic polynomial models to interpolate or fit data with sample point set A and response point set B as samples, constructing the eccentricity parameter X and the armature opening response time t. on Armature closing response time t off We use leave-one-out cross-validation (LOOCV) as the surrogate model and select the surrogate model with the smallest LOOCV error as the optimal surrogate model. on =f(X),t off = g(X), where f(X) and g(X) represent the armature opening response time t, respectively. on Armature closing response time t off The corresponding optimal proxy model.

[0039] S4 Constructs a mathematical model for optimizing the eccentric parameters of high-speed solenoid valves based on a surrogate model.

[0040] Within the allowable deviation range of armature opening and closing response times, with the goal of maximizing the eccentricity parameter value, i.e., obtaining the maximum allowable center deviation for armature installation, the specific mathematical model for the optimization design of the eccentricity parameter of the high-speed solenoid valve is as follows:

[0041] S5 solves the mathematical model for the optimization design of eccentric parameters of high-speed solenoid valves based on the surrogate model, and obtains the maximum allowable value of eccentric parameters that meets the constraints.

[0042] Intelligent optimization algorithms such as genetic algorithms and ant colony algorithms are used to solve the mathematical model for the optimization design of eccentric parameters of high-speed solenoid valves based on surrogate models, obtain multi-objective Pareto solutions, and determine the maximum allowable value of eccentric parameters that meets the constraints through multi-objective decision-making methods such as linear and Hurwicz algorithms.

[0043] This invention may have other embodiments. Without departing from the spirit and essence of this invention, those skilled in the art can make various corresponding changes and modifications according to this invention, but these corresponding changes and modifications should all fall within the protection scope of the appended claims.

Claims

1. A method for optimizing the eccentric parameters of a high-speed solenoid valve, characterized in that, Specifically, it includes the following steps: S1: Determine the eccentricity parameter and its range; S2: Determine the constraint conditions; S3: Construct and determine the best surrogate model between the eccentricity parameter and the opening response time and the closing response time; S4: Construct a mathematical model for optimizing the design of the eccentricity parameter of the high-speed solenoid valve based on the surrogate model; S5: Solve the mathematical model for optimizing the design of the eccentricity parameter of the high-speed solenoid valve based on the surrogate model to obtain the maximum value of the eccentricity parameter allowed by the constraint conditions; In step S1, the eccentricity parameter includes: the deflection angle a rotating around the x-axis, the deflection angle b rotating around the y-axis, and the offset L translating along the y-axis. The eccentricity parameter of the optimization problem of the high-speed solenoid valve eccentricity parameter is X = (a, b, L), and the corresponding value range is X1 < X < X2, where X1 is the lower limit of the eccentricity parameter and X2 is the upper limit of the eccentricity parameter; The constraint conditions in step S2 are ; in The opening response time when the armature does not become misaligned. The closing response time when the armature does not become eccentric. t on To enable response time for the armature, t off For armature closing response time, e on The maximum allowable deviation in armature activation response time. e off The maximum allowable deviation in armature closing response time; The specific method for constructing and determining the best surrogate model between the eccentricity parameter and the closing time and the release time in step S3 is: S31: Use the optimal Latin hypercube experimental design method to sample the eccentricity parameter space to obtain the sample point set A; S32 obtains the armature engagement time for each sample point in sample set A through numerical simulation. t on and armature release time t off This forms the response point set B; S33 employs multiple surrogate models to interpolate or fit data using sample point set A and response point set B as samples, constructing the eccentricity parameter X and armature engagement time. t on Armature release time t off We used two surrogate models, and employed Leave-one-out Cross-validation (LOOCV) to determine the model with the highest accuracy as the optimal surrogate model. t on =f(X), t off = g(X), where f(X) and g(X) represent the armature engagement time, respectively. t on Armature release time t off The corresponding optimal proxy model; The specific construction of the mathematical model for optimizing the design of the eccentricity parameter of the high-speed solenoid valve based on the surrogate model in step S4 is: ； The specific method for solving the mathematical model for optimizing the design of the eccentricity parameter of the high-speed solenoid valve based on the surrogate model in step S5 to obtain the maximum value of the eccentricity parameter allowed by the constraint conditions is: Use the intelligent optimization algorithm to solve the mathematical model for optimizing the design of the eccentricity parameter of the high-speed solenoid valve based on the surrogate model, obtain the multi-objective Pareto solution set, and determine the maximum value of the eccentricity parameter allowed by the constraint conditions through multi-objective decision-making means.

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