Accurate real-time truck simulation via semirecursive formulation and Adams-Bashforth-Moulton algorithm

查看全文 作　　者：Yongjun [1]Pan;Yansong [1]He;Aki [2]Mikkola

机构地区：[1]School of Automotive Engineering,Chongqing University,Chongqing 400044,China;[2]Department of Mechanical Engineering,Lappeenranta University of Technology,53850 Lappeenranta,Finland

出　　处：《Acta Mechanica Sinica》索引2019年第35卷第3期,共12页

基　　金：the National Natural Science Foundation of China (Grant 11702039);the Fundamental Research Funds for the Central Universities of China (Grant 106112017CDJXY330002). 摘　　要：In this paper, a tailored four-step Adams-Bashforth-Moulton (ABM) algorithm is applied to a semirecursive formulation to perform a real-time simulation of a semitrailer truck. In the ABM algorithm, each integration step involves two function evaluations, namely predictor and corrector. This is fundamentally different when compared to the classic fourth-order Runge-Kutta (RK) integrator approach that contains four function evaluations. A semitrailer truck under investigation is modeled in term of a semirecursive method and simulated by using the presented ABM algorithm. The results show that the four-step ABM method can reduce CPU time almost 50% for solving the truck dynamics with very similar accuracy, in comparison to the fourth-order RK method. The presented ABM algorithm could be used in the semirecursive formulation to carry out accurate real-time simulation of medium-large vehicle systems. 关键词：Numerical ALGORITHM Semirecursive FORMULATION Vehicle dynamics COMPUTATIONAL efficiency

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Accurate real-time truck simulation via semirecursive formulation and Adams-Bashforth-Moulton algorithm

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