Vehicle control parameter calibration method, device and equipment based on multi-objective particle swarm optimization

Abstract

The invention relates to the technical field of vehicle parameter calibration, in particular to a vehicle control parameter calibration method, device and device based on a multi-objective particle swarm algorithm. The method includes: acquiring a preset control model of a control system to be calibrated of the vehicle; determining target output conditions and boundary conditions of the preset control model, the boundary conditions including the preset control corresponding to the target output conditions The value range of the parameter to be calibrated in the model; the global optimal solution of the particle population corresponding to the parameter to be calibrated is determined based on the multi-objective particle swarm optimization algorithm and the boundary conditions; if the preset corresponding to the global optimal solution The actual output condition of the control model satisfies the target output condition, and the control system to be calibrated is calibrated based on the global optimal solution. The invention can adjust and calibrate the vehicle control parameters more quickly, stably and accurately, reduce labor and time costs, and improve the safety factor of equipment operation.

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 device based on a multi-objective particle swarm algorithm. Background technique [0002] Vehicles have complex control systems or equipment, usually PID control methods, such as vehicle control systems, 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 are involved in the adjustment and calibration. If the adjustment results are improper, the equipment will not reach the ideal state, resulting in various operation and safety problems. The adjustment and calibration methods for control equipment in the prior art mainly include trial and error method, critical scale method and extended critical scale method. For example, the trial-and-error method requires manual adjustment, ...

AI Technical Summary

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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