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Featured researches published by Peng Yu.


Applied Mechanics and Materials | 2013

Inertia Parameters Identification of Motor Assembly for Electric Vehicles Based on Modal Test Method

Li Zhao He; Peng Yu; Tong Zhang; Rong Guo

Inertia parameters are essential for motor assembly mounting design, which mainly includes the mass, center of mass (CM) coordinates, moment of inertia and product of inertia. This paper explains the principle and methods of modal test method. One vehicle drive motor assembly is taken as the research object, its inertia parameters are identified using this modal test method. Finally test error analysis is also performed.


Applied Mechanics and Materials | 2013

Design of Torsional Vibration Controller for Motor-Gearbox/Differential Drive System of Electric Vehicles

Jian Fu Xu; Peng Yu; Tong Zhang; Rong Guo

A torsional controller is proposed for the motor-gearbox/differential drive system of electric vehicles to suppress the torsional vibration of the system. The drive system is simplified to a 2-mass spring damper system, and the state-space equation is set up. A controller consisting of linear quadratic regular (LQR) and state observer is designed. The results of simulation show that LQR can suppress the torsional vibration effectively, enhancing the driving performance of the vehicle.


Applied Mechanics and Materials | 2012

Mechanical and Electrical Coupling Vibration Characteristic Analysis of Power Train System for Electric Driven Vehicle

Peng Yu; Tong Zhang; Pu Hui Liu

Determine the electrical and mechanical coupling modeling and analysis method of power train system for electric driven vehicle. Mechanical vibration mathematical model, rotation DQ axis mathematical model of PMSM and electrical-mechanical coupling model of Power-train System for a new energy vehicle are given. Numerical solution and parameter sensitivity analysis has been done. Consider the impact of temperature change, iron core magnetic saturation, motor torque fluctuations and load torque fluctuation on the system.


Advanced Materials Research | 2012

NVH Prediction of Electric Vehicle Driving Motor Base on Radial Electromagnetic Force Analysis

Peng Yu; Tong Zhang; Pu Hui Liu

This paper takes PMSM of EV as research object. Radial electromagnetic force analysis, housing modal analysis and NVH prediction are conducted. Radial electromagnetic force order and frequency are obtained by theoretical calculation, numerical verification is executed using Ansoft software. Modal characteristics are obtained by FEA numerical simulation. Combined the results of the electromagnetic analysis with modal simulation, the NVH performance is investigated.


Applied Mechanics and Materials | 2013

Modal Analysis for the Powertrain of Electric Vehicle by Finite Element Method

Fei Fei Chen; Peng Yu; Tong Zhang

The finite element model of an electric automotive powertrain is the basis of the research on its vibration and noise. In this paper, the vibration properties of dynamically-loaded housing are first obtained based on finite element calculation,which is testified by the modal test .It provides the reference for the establishing of electric automotive powertrain.


Applied Mechanics and Materials | 2013

Measurement Method Research on Inertial Parameters of Motor Assembly

Ling Sun; Peng Yu; Tong Zhang

Inertial parameters of the motor assembly include its mass, CM (center of mass) position, moment of inertia and product of inertia. Taking one vehicle drive motor as the research object, its mass and CM position are measured by using weight method and moment balance method respectively. Its moment of inertia and product of inertia are measured by using three-wire pendulum. On the basis of analyzing the test error, this paper proposed specific measures to reduce the test error.


Advanced Materials Research | 2012

NVH Characteristic Prediction of an Electric Vehicle Reducer

Peng Yu; Tong Zhang; Pu Hui Liu

Taking certain electric vehicle as target, tangential electromagnetic torque and harmonic analysis of drive motor is obtained using Ansoft 2D model. The inherent characteristic, propagated error, frequency response characteristics and waterfall curves of bearing are obtained using Romax 3D model. Then the NVH characteristic of driveline under certain rotational speed is evaluated, results can be applied to the structural matching of the driveline system for electric vehicles.


Advanced Materials Research | 2010

The Finite Element Analysis of Weight Control Agency Belonging to Crawler Crane Machine

Wei Chun Zhang; Jie Chen; Bao Hao Pei; Bing Bing Ma; Peng Yu; Xian Bin Du

The weight control agency of crawler crane machine may be in the problem of inadequate strength in engineering applications. It will be analyzed and improved design by finite element. The bracket and frame are respectively calculated by static, established the finite element model, imposed loads, solved the result and sum up the stress distribution disciplinarian. The improved agencies are re-analyzed by the ANSYS. After re-analyzed, the intension of the weight control agency meets the strength requirement.


Advanced Materials Research | 2010

Software Design of Vice-Steering System for Learner-Driven Vehicle

Wei Chun Zhang; Bao Hao Pei; Jie Chen; Peng Yu; Bing Bing Ma; Xian Bin Du

A structure form is used by one vice-steering system software design for learner-driven vehicle, which combines software polling and interruption with subroutine call, namely a form of main program polling and interrupt service subroutine. Among them, main program mainly realizes the system initialization. Interrupt service subroutine is mainly used to sampling vehicle speed and the engine speed, etc.


SAE 2015 Noise and Vibration Conference and Exhibition | 2015

Optimization of EV Mounting System Considering Power Train Torsion Control

Peng Yu; Tong Zhang; Jing Li; Shiyang Chen; Rong Guo

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Bao Hao Pei

Shandong University of Technology

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Bing Bing Ma

Shandong University of Technology

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Jie Chen

Shandong University of Technology

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Wei Chun Zhang

Shandong University of Technology

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Xian Bin Du

Shandong University of Technology

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