Research on engine dynamic torque modeling for torsional vibration analysis of vehicle powertrain

Author:

Chen Long123ORCID,Tao Lei1

Affiliation:

1. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, China

2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

3. Taiyuan Institute of China Coal Technology and Engineering Group, Taiyuan, China

Abstract

In order to improve the accuracy of dynamic torque model of engine, a simulation model of quasi-transient engine dynamic torque under all operating conditions was established considering the influence of throttle opening. Firstly, the calculation model of engine output torque and cylinder pressure is established according to the kinematic relation of crank linkage mechanism. Secondly, BP neural network is used to establish the mapping relationship model of throttle opening, rotational speed, and cylinder pressure ratio data. In order to solve the contradiction between calculation accuracy and efficiency of engine cylinder pressure interpolation, a quadratic interpolation method is proposed, which refines data to improve interpolation accuracy, and improves calculation efficiency by online adjacent interpolation, and completes the construction of dynamic torque simulation model of engine in all working conditions. Finally, the experimental data of dynamic torque characteristics of the engine at different speeds are used to verify the accuracy of the model calculation. By using the verified engine model, the dynamic operating characteristics of variable valve opening and variable speed are simulated and analyzed. The results show that the model established in this paper can effectively reflect the dynamic characteristics of the engine, and the model is suitable for the simulation of the torsional vibration of the vehicle powertrain under steady and unsteady conditions.

Funder

Foundation of State Key Laboratory of Automotive Simulation and Control

Fundamental Research Program of Shanxi Province

National Key R&D Program of China

China Postdoctoral Science Foundation

Publisher

SAGE Publications

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