Reliability robust equilibrium design method for dynamic characteristics of self-balancing electric vehicle frame

Abstract

The invention discloses a reliability robust equilibrium design method for dynamic characteristics of a frame of a self-balancing electric vehicle. The method comprises the following steps: establishing a reliability robust equilibrium design model for the dynamic characteristics of the frame of the self-balancing electric vehicle; sampling by adopting a Latin superposing method, obtaining samplepoints through a co-simulation technology, and establishing a PRSM model of each dynamic characteristic index value in a prediction target and a constraint function; enabling the inner layer to adoptan improved HL-RF algorithm to carry out reliability analysis so as to judge the feasibility of the reliability constraint of the dynamic characteristics of the frame; and the outer layer adopts a genetic algorithm to carry out iterative optimization based on the robust equilibrium index of the overall performance of the frame to obtain a design scheme of overall robust equilibrium of the dynamiccharacteristics of the frame. According to the method, a set composed of a vehicle frame target and constraint performance robustness coefficients is established, the overall performance robustness balance index is defined through the mean value, the standard deviation and the range of all the robustness coefficients in the set, and overall robustness balance design of the dynamic characteristicsof the vehicle frame under the probability uncertainty condition is achieved.

Description

technical field [0001] The invention relates to a reliable, robust and balanced design method for the dynamic characteristics of a self-balancing electric vehicle frame. Background technique [0002] As a light, flexible and energy-saving means of transportation, two-wheeled self-balancing electric vehicles have a great effect on alleviating congested urban traffic. During the driving process of the self-balancing electric vehicle, due to the direct bearing of the weight of the load and the influence of the uneven road surface, the frame will be subjected to the reaction force of the suspension springs at both ends, and the reaction force changes periodically. When the natural frequency of the frame is close to the natural frequency of the suspension spring, resonance or high-frequency resonance will occur, which will not only affect the driving experience of the driver, but also accelerate the damage of the frame. Therefore, in addition to sufficient strength and stiffness...

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Problems solved by technology

[0004] In order to solve the problem of anti-vibration design of the self-balancing electric vehicle frame in actual engineering, the present invention provides a reliable and robust balanced design method for the dynamic characteristics of the self-balancing electric vehicle frame, using probability variables to describe the influence of the self-balancing electric vehicle frame Uncertainty factors of dynamic characteristics, according to the modal analysis results of the initial design scheme of the electric vehicle frame, describe the reliability requirements of the frame modal frequency under the influence of uncertainty as a constraint function, and establish a self-balancing Reliability Robust Equilibrium Design Model of Dynamic Characteristics of Electric Vehicle Frame; Using Latin Hypercube Sampling Method to Sampling Design Variables and Uncertain Parameters, Obtaining Sample Points Through Co-simulation Technology, and Establishing Prediction Objectives and Constraint Function Index Values ​​of Dynamic Characteristics PRSM model; the inner layer uses the improved HL-RF algorithm for reliability analysis, and then determines the feasibility of the reliability constraints of the dynamic characteristics of the frame; the outer layer calculates the overall performance of the frame based on the measurement results of the probabilistic reliability constraints and the robustness of the target performance The robust and balanced index based on the overall performance of the frame is iteratively optimized using the genetic algorithm, and finally the overall robust and balanced design of the dynamic characteristics of the self-balancing electric vehicle frame is obtained.

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