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METHOD FOR ESTIMATING VARIABLES AFFECTING THE VEHICLE DYNAMICS AND CORRESPONDING VIRTUAL SENSOR

机译:估算影响车辆动力学和虚拟传感器的变量的方法

摘要

Method for the estimation of at least a variable (β; νx, νy; ψ, μ) affecting a vehicle dynamics (10), including measuring dynamic variables (MQ) of the vehicle (10) during its motion, calculating in real time an estimate (Formula (I)) of said variable (β; νx, νy; ψ, μ), on the basis of said measured dynamic variables (MQ), The method includes: calculating (230) said estimate of said at least a variable (β; νx, νy; ψ, μ) by an estimation procedure (DVSβ; DVSβν; DVSβνμ) comprising taking in account a set of dynamic variables (MQ) measured during the motion of the vehicle (10) over respective time intervals (ny, nw, nψ, nx, nα) and applying on said set of measured dynamic variables (MQ) at least an optimal nonlinear regression function (ƒ*β; ƒ*x, ƒ*y; ƒ*β1, ƒ*β2, ƒ*ψ1, ƒψ2) calculated with respect to said variable (β; νx, νy; ψ, μ) to estimate to obtain said estimate of said variable (β; νx, νy; ψ, μ), said optimal non linear regression function (ƒ*β; ƒ*x, ƒ*y; ƒ*β1, ƒ*β2, ƒ*ψ1, ƒ*ψ2) being obtained by an optimal calculation procedure (220) including: on the basis of an acquired set of reference data (Dd) and of said set of dynamic variables (MQ) measured during the motion of the vehicle (10), finding, for a desired accuracy level (ε), a regression function (ƒ*β; ƒ*x, ƒ*y; ƒ*β1, ƒ*β2, ƒ*ψ1, ƒ*ψ2) giving an estimation error lower or equal than said desired accuracy level (ε) in a given set of operative conditions (OC), said acquired set of reference data (Dd) being obtained by acquiring (210) in said given set of operative conditions (OC) a set of reference data (Dd) of variables including variables corresponding to said measured dynamic variables (MQ) of the vehicle (10) and a lateral (vy) and a longitudinal velocity (vx) of the vehicle (10).
机译:估计至少一个影响车辆动力学( 10 )的变量(β;ν x ,ν y ;ψ,μ)的方法,包括在车辆( 10 )运动期间测量其动态变量(MQ),实时计算该变量(β;ν x ,ν y ;ψ,μ),基于所述测得的动态变量(MQ),该方法包括:计算( 230 )所述至少一个变量(β;ν x ,ν y ;ψ,μ)通过估计程序(DVS β; DVS βν ; DVS βνμ)包括考虑一组在各个时间间隔(n)中车辆( 10 )运动期间测量的动态变量(MQ) y ,n w ,n ψ,n x ,n α)和在所述一组测量的动态变量(MQ)上至少应用最佳非线性回归函数(ƒ* β;ƒ* x ,ƒ* y ;ƒ* β1,ƒ* β2相对于所述变量(β;)计算的,ƒ* ψ1,ƒψ2)。 ν x ,ν y ; ψ,μ)进行估计以获得所述变量(β;ν x ,ν y ;ψ,μ)的估计值,表示最佳非线性回归函数(ƒ* β;ƒ* x ,ƒ* y ;ƒ* β1,ƒ* β2 220 )获得Sub>,ƒ* ψ1,ƒ* ψ2),该最佳计算程序包括:在车辆运动期间( 10 )测量的一组参考数据(D d )和所述动态变量(MQ)组,找到所需的精度水平(ε),回归函数(ƒ* β;ƒ* x ,ƒ* y ;ƒ* β1,ƒ* β2,ƒ* ψ1,ƒ* ψ2)给出的估计误差小于或等于所述期望的精度等级(ε)在给定的一组操作条件(OC)中,通过获取( 210 )在所述给定的一组操作条件下获得的参考数据集(D d )(D OC)一组变量的参考数据(D d )包括与车辆( 10 )的所述测得动态变量(MQ)和横向(v y )和纵向速度(v x 10 )的Sub>)。

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