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An Interval Uncertainty Multi-objective Optimization Method for Electric Wheel Vehicle Chassis System

An electric wheel vehicle, multi-objective optimization technology, applied in the direction of motor vehicles, control devices, transportation and packaging, etc., can solve the problems that cannot meet the original design requirements, do not consider the uncertainty of design variables, etc.

Active Publication Date: 2021-02-05
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide an interval uncertainty multi-objective optimization method for the chassis system of an electric-wheeled vehicle, so as to solve the problem that design variables are not considered in the optimization process of the chassis system of an electric-wheeled vehicle in the prior art. Uncertainty such that the original design requirements cannot be met

Method used

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  • An Interval Uncertainty Multi-objective Optimization Method for Electric Wheel Vehicle Chassis System
  • An Interval Uncertainty Multi-objective Optimization Method for Electric Wheel Vehicle Chassis System
  • An Interval Uncertainty Multi-objective Optimization Method for Electric Wheel Vehicle Chassis System

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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 ...

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Abstract

The invention discloses an interval uncertainty multi-objective optimization method for the chassis system of an electric-wheeled vehicle. The method of the invention takes into account that there are many uncertain factors in the process of optimizing the chassis system of an electric-wheeled vehicle, and it is easy to make the optimization result difficult. meet the original design requirements. The present invention uses an interval model to describe uncertain variables, transforms uncertain objective functions and uncertain inequality constraints into deterministic objective functions and deterministic inequality constraints respectively, and combines the conjugate gradient method algorithm to perform interval Multi-objective optimization design under uncertainty.

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 devices, 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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W50/00B62D65/00
CPCB60W50/00B60W2050/0021B60W2050/0039B60W2050/0041B62D65/00
Inventor 赵万忠王云琦朱彦祺
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS