Vehicle control parameter calibration method, apparatus and device based on multi-target particle swarm optimization algorithm

Abstract

The invention relates to the technical field of vehicle parameter calibration, in particular to a vehicle control parameter calibration method, apparatus and device based on a multi-target particle swarm optimization algorithm. The vehicle control parameter calibration method comprises the steps: obtaining a preset control model of a to-be-calibrated control system of a vehicle; determining a target output condition and a boundary condition of the preset control model, wherein the boundary condition comprises a value range of a to-be-calibrated parameter in the preset control model corresponding to the target output condition; determining a globally optimal solution of a particle swarm corresponding to the to-be-calibrated parameter based on a multi-objective particle swarm optimization algorithm and the boundary condition; and if the actual output condition of the preset control model corresponding to the globally optimal solution satisfies the target output condition, calibrating theto-be-calibrated control system based on the globally optimal solution. According to the vehicle control parameter calibration method, the vehicle control parameters can be adjusted, calibrated and calibrated more quickly, stably and accurately, and the labor and time cost is reduced, and the safety coefficient of equipment operation is increased.

Description

technical field [0001] The invention relates to the technical field of vehicle parameter calibration, in particular to a vehicle control parameter calibration method, device and equipment based on a multi-objective particle swarm algorithm. Background technique [0002] There are complex control systems or equipment inside the vehicle, usually using PID control, such as vehicle control system, hydraulic brake control equipment, steering wheel angle control equipment, etc. Therefore, in the field of vehicle manufacturing, a large number of control systems or equipment adjustments and calibrations are involved. If the adjustment results are improper, the equipment will not reach the ideal state, resulting in various operational and safety problems. The adjustment and calibration methods for control equipment in the prior art mainly include the trial and error method, the critical proportionality method and the extended critical proportionality method, etc. However, the above m...

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Problems solved by technology

The adjustment and calibration methods for control equipment in the prior art mainly include the trial and error method, the critical proportionality method and the extended critical proportionality method, etc. However, the above methods are time-consuming, the process is complicated, and the error is uncontrollable

For example, the trial and error method requires manual adjustment, and the time cost is high. The critical ratio method and the extended critical ratio method need to repeatedly fully open or fully close the valve of the vehicle during parameter adjustment, which reduces the safety and service life of the vehicle.

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