Reliability reallocation for cost uncertainty of fuel cell vehicles via improved differential evolution algorithm

Quality & Reliability Eng

Wang

et al. 2020

Self Cite

To further study the law of strength degradation, the residual strength degradation model is established based on the definition of fatigue damage, considering the interaction of various uncertain factors and time factors in service environment. Combined with equivalent damage model, a nonlinear cumulative damage model is proposed, which takes the interaction among loading loads into account and improves the accuracy of calculation. Additionally, the equivalent transformation of multistage load is studied using interval theory. According to the interval dynamic nonprobability reliability prediction model, a dynamic reliability analysis of the interval model is carried out. Dynamic reliability of the component is analyzed under multistage load accumulation damage to verify the effectiveness of the method.

Section: Introductionmentioning

confidence: 99%

Interval dynamic reliability analysis of mechanical components under multistage load based on strength degradation

Jiang

Quality & Reliability Eng

Wang

et al. 2020

Self Cite

“…In practical engineering, due to the limitation of test conditions and cost, some design parameters could not be obtained because of the experimental data and no sampling data 37 . According to experts' experience or limited data, the design parameters can only be expressed into several possible subintervals and the corresponding probability values of each interval.…”

Section: Type Analysis Of Uncertain Input Variablesmentioning

confidence: 99%

Reliability analysis of excavator boom considering mixed uncertain variables

Zhang

Quality & Reliability Eng

et al. 2020

Self Cite

There are differences among sampling data and representation types of uncertain interval, fuzzy and random variables, which increases the complexity of structure reliability analysis. A α, β‐Cut‐FORM is proposed to analyze structure reliability considering the mixed uncertain variables. Fuzzy variables are optimized on the interval under two cut sets (α, β) based on the theory of cut set optimization. Interval variables are modeled with probability using a uniformity method. The proposed method involves the nested probabilistic analysis and interval analysis. The first‐order reliability method (FORM) is used for probabilistic analysis and nonlinear optimization is used for interval analysis. The excavator boom performance function is established for reliability analysis considering the mixed uncertain input variables, which verifies the effectiveness and advantages of the proposed method. And it has great application for safe and reliable design of excavator boom.

“…Due to the pressure of environmental pollution and energy crisis, electric vehicles (EVs) have attracted much attention. [1][2][3][4] The wheel hub motor drive vehicle can shorten transmission chain, increase efficiency and make structure more compact because of the elimination of transmission system, transmission shaft and differential. 5 Compared with traditional fuel vehicles, wheel electric vehicles have higher control accuracy and faster response speed.…”

Section: Introductionmentioning

confidence: 99%

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

Proceedings of the Institution of Mechanical Engineers, Part D:

Wang

et al. 2021

Self Cite

To improve the ride comfort of wheel drive electric vehicle, a quarter dynamic model is established for vehicle active and passive suspension. Based on the response root mean square (RMS), the evaluation index of vehicle ride comfort is derived. According to the influence of uncertain parameters on system minimum RMS, the optimal vehicle parameters are determined. To avoid experience value of uncertain weight coefficient affecting the LQG control, analytic hierarchy process (AHP) is adopted to determine the weighting coefficient of vehicle performance evaluation index. And the LQG controller of vehicle active suspension is designed based on optimal control theory. Compared with the analysis results of passive suspension, the effectiveness of active control scheme is verified.