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.

CN109969197AActive Publication Date: 2019-07-05NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-07-05

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Abstract

The invention discloses an interval uncertainty multi-objective optimization method for a chassis system of a hub-motor-driven car. The method disclosed by the invention takes into account many uncertain factors existing in the optimization design process of the chassis system of the hub-motor-driven car, wherein the uncertain factors are prone to cause an optimization result to be difficult to satisfy original design requirements. The interval uncertainty multi-objective optimization method adopts an interval model to describe an uncertainty variable, and separately transforms an uncertaintyobjective function and an uncertainty inequality constraint into a certainty objective function and a certainty inequality constraint. A conjugate gradient algorithm is combined to perform the interval uncertainty multi-objective optimization design of the chassis integrated system of the hub-motor-driven car.
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Description

technical field

[0001] The invention belongs to the technical field of automobile chassis systems, and in particular relates to an interval uncertainty multi-objective optimization method for an electric wheel automobile chassis system. Background technique

[0002] Electric wheel vehicles are driven by four independent hub motors. The in-wheel motor integrates the drive, transmission and suspension, and its drive method greatly improves the driving performance and driving performance of the vehicle, improves the transmission efficiency of the electric wheel vehicle and the flexibility of the space layout of the vehicle, and conforms to today's available The theme of sustainable development, electric wheel vehicles as new energy vehicles have good prospects for development.

[0003] The chassis system of an electric wheel vehicle is composed of steering, drive, suspension and other subsystems. The three subsystems interact with each other and jointly determine the vehicle'...

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Embodiment Construction

[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 ...