2020
DOI: 10.3390/sym12071171
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Dynamic Modeling and Vibration Characteristics Analysis of Transmission Process for Dual-Motor Coupling Drive System

Abstract: The dual-motor coupling drive system (DCDS), which is widely used in electric vehicles, has attracted increasing attention due to its high transmission efficiency and economical fuel consumption. Current research has mainly focused on the control scheme of dual motors and has ignored the dynamic characteristics of the asymmetrical transmission structure. This paper presents an investigation of a dynamic model and an analysis method of the transmission process for the DCDS. The entire dynamic model of the DCDS … Show more

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Cited by 6 publications
(4 citation statements)
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“…Studies have substantiated that one of the reasons for the vibration and noise of the induction motor powered by a variable frequency is the magnetostrictive effect of the iron core [2]. In [3], Fan, W. studied the dynamic model and analysis method of the transmission process of DCDS. In [4], Maraaba, L.S.…”
Section: Introductionmentioning
confidence: 99%
“…Studies have substantiated that one of the reasons for the vibration and noise of the induction motor powered by a variable frequency is the magnetostrictive effect of the iron core [2]. In [3], Fan, W. studied the dynamic model and analysis method of the transmission process of DCDS. In [4], Maraaba, L.S.…”
Section: Introductionmentioning
confidence: 99%
“…Provides a model reference. Wei [9] established the overall dynamic model of The dualmotor coupling drive system (DCDS) considering planetary gears, differential bevel gears and transmission shafts by using the transfer matrix method, and studied the effects of mesh stiffness and excitation source on the dynamic characteristics. A detailed theoretical analysis is carried out, and the validity of the dynamic model is verified by using the DCDS experimental platform.…”
Section: Introductionmentioning
confidence: 99%
“…The analytical approach can obtain explicit analytical solutions of nonlinear differential equations, and the numerical approach is easier to obtain approximate solutions. An experimental approach can verify the prediction accuracy of these methods [26][27][28].…”
Section: Introductionmentioning
confidence: 99%