A novel simplified model for torsional vibration analysis of a series-parallel hybrid electric vehicle

Tang, Xiaolin; Yang, Wei; Hu, Xiaosong; Zhang, Dejiu

doi:10.1016/j.ymssp.2016.08.020

Cited by 132 publications

(54 citation statements)

References 27 publications

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“…Increasingly strict vehicle emission standards have been the main motivation for extensive research on electric vehicles (EVs), which are likely to replace the traditional internal combustion engine (ICE) in the near future [1][2][3][4]. From the perspective of system configuration, EVs can be categorized into two distinct types: centrally driven type and distributed-drive type.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

et al. 2019

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Distributed-drive electric vehicles (EVs) replace internal combustion engine with multiple motors, and the novel configuration results in new dynamic-related issues. This paper studies the coupling effects between the parameters and responses of dynamic vibration-absorbing structures (DVAS) for EVs driven by in-wheel motors (IWM). Firstly, a DVAS-based quarter suspension model is developed for distributed-drive EVs, from which nine parameters and five responses are selected for the coupling effect analysis. A two-stage global sensitivity analysis is then utilized to investigate the effect of each parameter on the responses. The control of the system is then converted into a multiobjective optimization problem with the defined system parameters being the optimization variables, and three dynamic limitations regarding both motor and suspension subsystems are taken as the constraints. A particle swarm optimization approach is then used to either improve ride comfort or mitigate IWM vibration, and two optimized parameter sets for these two objects are provided at last. Simulation results provide in-depth conclusions for the coupling effects between parameters and responses, as well as a guideline on how to design system parameters for contradictory objectives. It can be concluded that either passenger comfort or motor lifespan can be reduced up to 36% and 15% by properly changing the IWM suspension system parameters.This section introduces the two-step GSA and analyzes the effects each parameter has on the system response characteristics.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

et al. 2019

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“…rough the experimental study on the torsional characteristics of the DMF, Chen established a nonlinear dynamic model of the DMF based on the viscous damping [6]; Song proposed a DMF with continuous variable stiffness by using shape constraints and conducted theoretical and experimental studies on its torsional characteristics [7,8]. Zu et al proposed an intelligent magnetorheological DMF, which can realize the real-time adjustment of the damping coefficient to achieve semiactive control of the torsional vibration of the powertrain [9]; Tang et al studied the effect of dual-mass flywheels on the torsional vibration performance of hybrid electric vehicles and proposed a motor torque control methods to suppress the torsional vibration [10][11][12]. e existing literature has carried out a lot of research on the structure of the DMF, torsional characteristics, and vibration damping performance, but it can be found that there are few studies on the dynamic torsional characteristics (dynamic stiffness and lag angle) of the DMF.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Experimental Study on Dynamic Characteristics of Dual‐Mass Flywheel Torsional Damper

Chen

Shi

Chen

2019

Shock and Vibration

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Theoretical modeling and experimental research are carried out on the dynamic torsional characteristics of a dual-mass flywheel (DMF) in this paper. Firstly, the structure and working principle of the DMF are analyzed. Secondly, the arc spring is analyzed by the discrete element method. For the different frictional torques in the working process, the linear fitting and equivalent energy methods are used to model the frictional torque under the dynamic condition of the arc spring. The fractional derivative model is used to model the viscous damping of DMF. Then, the parameter identification and model verification are carried out on the model, and the model error is analyzed. Finally, an experimental study on the dynamic torsional characteristics of DMF is carried out. The results demonstrate that the torsional stiffness of the DMF varies with the excitation amplitude and frequency. This modeling and test method can be used for structural design and performance prediction analysis of DMF.

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“…In particular, Chinese manufacturers become the world's largest electric vehicle production market. Lightweight materials, advanced manufacturing processes and special electric chassis design are set to be the main focus for improving the energy efficiency of electric cars' structures [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Electric Car Chassis for Shell Eco Marathon Competition: Design, Modelling and Finite Element Analysis

Tsirogiannis

Stavroulakis

Makridis

2019

WEVJ

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The increasing demand for energy efficient electric cars, in the automotive sector, entails the need for improvement of their structures, especially the chassis, because of its multifaceted role on the vehicle dynamic behaviour. The major criteria for the development of electric car chassis are the stiffness and strength enhancement subject to mass reduction as well as cost and time elimination. Towards this direction, this work indicates an integrated methodology of developing an electric car chassis considering the modeling and simulation concurrently. The chassis has been designed in compliance with the regulations of Shell Eco Marathon competition. This methodology is implemented both by the use of our chassis load calculator (CLC) model, which automatically calculates the total loads applied on the vehicle’s chassis and by the determination of a worst case stress scenario. Under this extreme stress scenario, the model’s output was evaluated for the chassis design and the FEA method was performed by the pre-processor ANSA and the solver Ansys. This method could be characterized as an accurate ultrafast and cost-efficient method.

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A novel simplified model for torsional vibration analysis of a series-parallel hybrid electric vehicle

Cited by 132 publications

References 27 publications

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

Modeling and Experimental Study on Dynamic Characteristics of Dual‐Mass Flywheel Torsional Damper

Electric Car Chassis for Shell Eco Marathon Competition: Design, Modelling and Finite Element Analysis

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