Estimation method for equivalent rollover damping of suspension rack of passenger vehicle based on genetic algorithm

Abstract

The invention discloses an estimation method for equivalent rollover damping of a suspension rack of a passenger vehicle based on a genetic algorithm and belongs to the field of vehicle dynamics modeling and parameter estimation thereof. The method comprises the specific steps that (1) a passenger vehicle rollover dynamics model is established; (2) according to the passenger vehicle dynamics model, an initial population of an equivalent rollover damping parameter of the suspension rack of the passenger vehicle is established; (3) an output parameter of the passenger vehicle is selected as a state response variable, a fitness function is defined, and a reference value of the fitness function is set; (4) selection, cross and variation operations are conducted, an operated result is fed backto the dynamics model, whether or not a condition is met is judged through the fitness function, and an estimation value of equivalent rollover damping of the passenger vehicle is obtained after circulative iteration. According to the estimation method, the problems of large transient-state parameter change and difficult accurate estimation of the passenger vehicle are solved, and the operation efficiency is improved.

Description

technical field [0001] The invention belongs to the field of vehicle dynamics modeling and parameter estimation, in particular to a method for estimating the equivalent roll damping of a passenger car suspension based on a genetic algorithm. Background technique [0002] Estimation of the equivalent roll damping of the passenger car suspension is of great significance to the active safety of the car, especially the analysis of the rollover stability of the car. In the transient phase of the step condition, the state of the vehicle changes rapidly and is relatively complex, and it is difficult to estimate the key parameters of the model that characterize its characteristics. The roll damping of passenger cars is mainly estimated from the roll angular velocity and roll angular acceleration, as well as the roll angular velocity of the unsprung mass, and the above variables are generated in the step transient stage and vary greatly. If the traditional least squares method is us...

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Problems solved by technology

[0005] Aiming at the problems existing in the prior art, the present invention discloses a method for estimating the equivalent roll damping of the passenger car suspension based on a genetic algorithm, establishes a passenger car rollover dynamics model, and uses the genetic algorithm to solve the problem that the transient parameters of the passenger car vary greatly and are difficult to Accurately estimate the problem, and improve the computational efficiency

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