Vol. 39, No. 1 (2016) (26)

Construction and Study of Multi-DOF Automobile Dynamic Model

Y. J. Zheng†, Y. Feng†,S. Joshi‡

†Zhejiang Technical Institue of Economic, Hangzhou, 310018, China, 
‡Department of Crop Physiology, University of Agricultural Sciences GKVK, Bengaluru, India

Cite this paper
Y. J. Zheng, Y. Feng, S. Joshi, “Construction and Study of Multi-DOF Automobile Dynamic Model”, Journal of Mechanical Engineering Research and Developments, vol. 39, no. 1, pp. 187-196, 2016. DOI: 10.7508/jmerd.2016.01.026

ABSTRACT: As the demand of people to vehicle performance is becoming more and more higher, the study to vehicle dynamics has been developed rapidly, and the derivation of vehicle model is becoming more and more mature in various conditions. The main content of this paper is to derive seventeen DOF vehicle model. The derived differential equation is the multi-state variable chemosynthesis differential equations, if use the ordinary solving method is time consuming, which can not meet the requirements of real-time simulation. This paper uses the iterative solution method, that is first according to the dynamic equation and initial conditions to solve the state variable derivation, namely the acceleration, then according to the time step to solve the displacement (angular displacement) and velocity (angular velocity), and then substitute the displacement and velocity of the last time step to the differential equation to solve the next step length acceleration, so iterative calculations to solve the vehicle motion status of the entire simulation time. Due to it is not solve differential equations and there are some simple operations, so the solution rate is high and can achieve the requirements of real-time simulation.

Keywords : Automobile; Vehicle model; Simulation; Experiment

[1] W. B. Kong, J. Huang, B. N. Li, M. Kang, L. H. Zhao, “Sensorless Control for Five-phase Induction Motors with Improved Third-harmonic Current Injection”, Transactions of China Electrotechnical Society, vol. 23, no. 6, pp. 24-29, June 2014. 
[2] J. Huang, L. H. Zhao, H. Liu, “Sensorless Control with Resistance Variation Approach Based on Parallel MRAS and Second-Order Sliding Mode Observer”, Transactions of China Electrotechnical Society, vol. 23, no. 11, pp. 55-62, November, 2014.
[3] B. N. Li, J. Huang, M. Kang, W. B. Kong, “Analysis and Comparison of Inductance and Suspension Force for 2-4 Type and 4-2 Type Multiphase Permanent Management Bearingless Motors”, Electric Machines and Control, no. 33, pp. 14-17, November, 2013.
[4] L. Sun, D. Tan and Y. Nie, “Forecasting Model of Automobile Loan Based on Conditional Expectation”, Modern Economy, vol. 1, no. 2, pp. 125-128, 2010.
[5] Z. Wang, “Demanding Model of Automobile Loan Using Stochastic Theory”, Technology and Investment, vol. 1 no. 3, pp. 211-214, 2010.
[6] K. Obeng, M. Rokonuzzaman, “Pedestrian Injury Severity in Automobile Crashes”, Open Journal of Safety Science and Technology, vol. 3, no. 2, pp. 9-17, 2013.
[7] C. Lee, C. Chung, “The Application of Innovative Automobile Maintenance Services from Customers’ Viewpoints: A Hybrid Method”, Journal of Data Analysis and Information Processing, vol. 1, no. 4, pp. 59-66, 2013.
[8] M. Enokibori, R. Matsuhashi and Y. Yoshida, “Correlations between Corporate Climate Change Management and Financial Performance: A Case Study of Japanese Automobile Manufacturers”, Low Carbon Economy, vol. 4, no. 4, pp. 129-136, 2013.