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Dynamic Fatigue Reliability Prediction Approach of Fuel Cell Vehicle Based on Usage Scenario
Nie Zhenyu,Liang Rongliang,Wu Zhen,Guo Ting,Zhang Xiaohui 한국자동차공학회 2024 International journal of automotive technology Vol.25 No.1
Fuel cell vehicles (FCVs) are an important direction for sustainable development of the automobile industry in the future. Still, the reliability and durability of FCVs are key technical problems aff ecting marketization. This study focused on fatigue reliability of FCVs under complex driving conditions. A dynamic analysis approach for fatigue reliability is proposed based on a dynamic Bayesian network and fracture mechanics (DBN-FM). According to the load spectrum data collected by an FCV on typical roads, a DBN model for the fatigue reliability of an FCV was established considering the randomness of variables in crack propagation. The practical application of the developed model is demonstrated through a case study. The results show that the DBN-FM approach can be used to predict the failure probability of FCVs under diff erent driving distances. In addition, the weak parts of the FCV were identifi ed, which provided theoretical guidance for its inspection and maintenance.
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Feng Zhou,Jinjin Cai,Xiaoning Mao,Zhenyu Wu,Yong Nie 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.9
As a green plasticizer, the industrial production of dioctyl terephthalate (DOTP) is still facing the problemof high energy consumption. To optimize the production process and reactor, it is essential to understand the kineticbehavior of reaction system. In this work, the two-step consecutive esterification of solid terephthalic acid (PTA) and 2-ethylhexanol (2-EH) catalyzed by tetrabutyl titanate was studied. First, the equilibrium constants and enthalpies of thetwo-step reaction were experimentally determined and validated by the group contribution methods. Then, a pseudohomogeneouskinetic model was developed, and the reaction order of PTA was corrected to reflect its solid phase characteristic. Non-isothermal kinetic experiments were carried out under different initial feed molar ratios and catalystconcentrations, and the kinetic parameters in the model were estimated by mathematical regression. The model predicteddata agreed well with the experimental data. Finally, the analyses of reaction rate showed that the first-step reactionwas the rate-controlling step of the whole esterification process.
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