Determination method for engine control parameter optimization MAP

Abstract

The invention relates to a determination method for an engine control parameter optimization MAP. The method comprises the steps that (1) an engine working process simulation model is established; (2)the accuracy of the model is verified through a test; (3) virtual test design of engine control parameters is performed; (4) regressive analysis of the virtual test design result of the control parameters is performed; (5) the sensitivity of the control parameters to power influences is analyzed; (6) sensitivity weight coefficients of the control parameters are determined; (7) optimization variables are determined, and a multi-variable single-target constrained optimal mathematical model is constructed; and (8) a power function is optimized, and an optimal value MAP of main control parametersunder different working conditions is obtained. Through the method, the engine control parameters with a large influence on machine power can be quickly determined, the optimization range of the control parameters with high sensitivity can be determined, and therefore an optimization direction is provided for improvement to the machine power under all working conditions; and the development cyclecan be shortened, development cost can be lowered, development efficiency can be improved, and effective guidance can be provided for optimization of engine performance.

Description

technical field [0001] The invention belongs to the technical field of internal combustion engine design, and in particular relates to a method for determining an engine control parameter optimization MAP. Background technique [0002] Strong maneuverability is one of the performance requirements of vehicles. For every product upgrade, the power of the power plant must be increased. The complex structure of the engine itself has dozens of control parameters, and each parameter will affect the power of the whole machine. Therefore, in the design of the power improvement of the whole machine, if all the control parameters are optimized, it will inevitably increase the design efficiency. workload and design cost; on the other hand, the traditional engine performance optimization process has certain limitations and blindness, and is generally based on the calibration point or maximum torque point, and the optimization results are not applicable to other Due to the different wor...

AI Technical Summary

Problems solved by technology

The complex structure of the engine itself has dozens of control parameters, and each parameter will affect the power of the whole machine. Therefore, in the design of the power improvement of the whole machine, if all the control parameters are optimized, it will inevitably increase the design efficiency. workload and design cost; on the other hand, the traditional engine performance optimization process has certain limitations and blindness, and is generally based on the calibration point operating condition or the maximum torque point operating condition, and its optimization results are not applicable to other Working conditions, so that the performance calibration of the whole machine in the later stage can only be carried out by referring to the control parameter MAP of similar models

Images