Interval uncertainty multi-objective optimization method for chassis system of hub-motor-driven car
A multi-objective optimization, electric wheel vehicle technology, applied in the field of interval uncertainty multi-objective optimization of the electric wheel vehicle chassis system, can solve the problems of not considering the uncertainty of design variables, unable to meet the initial design requirements, etc.
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[0063] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the embodiments and accompanying drawings, and the contents mentioned in the embodiments are not intended to limit the present invention.
[0064] refer to figure 1 As shown, the present invention discloses an interval uncertainty multi-objective optimization method for an electric wheel vehicle chassis system, comprising the following steps:
[0065] Step 1): Establish models of differential power steering system, in-wheel motor drive system and semi-active suspension system;
[0066] Described step 1) specifically also comprises:
[0067] The differential power steering system model is:
[0068]
[0069] In the formula, J s is the moment of inertia of the steering wheel and steering input shaft, B s is the equivalent damping coefficient of the steering wheel and steering input shaft, θ s is the steering wheel angle, T ...
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