Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Simulation of the Control Strategy for an Electric Bus with Motorized Wheels

Jin Liqiang and Chen Pengfei
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
Research Journal of Applied Sciences, Engineering and Technology  2014  6:1120-1124
http://dx.doi.org/10.19026/rjaset.7.368  |  © The Author(s) 2014
Received: January 24, 2013  |  Accepted: March 14, 2013  |  Published: February 15, 2014

Abstract

This study aims to simulate the running state of the bus as real as possible and verify the correctness of electric bus control system that is developing, which is good for reducing the development cycle and cost for enterprise. The vehicle dynamics model is built and the actual vehicle driving condition is simulated in AMESim and the vehicle control strategy is established in Simulink. The co-simulation platform is used to simulate the actual running state of the bus with the action of the control system, which provides the reference for subsequent real vehicle test.

Keywords:

Co-simulation, control strategy, electric bus,


References

  1. Cao, B.G., Z. Chuanwei, Z. Bai and J.C. Li, 2004. Technology progress and trends of electric vehicles. J. Xian Jiaotong Univ., 38(1): 1-5.
  2. Esmailzadeh, E., G.R. Vossoughi and A. Goodarzi, 2001. Dynamic modeling and analysis of a four motorized wheels electric vehicle. Vehicle Syst. Dyn., 35(3): 163-194.
    CrossRef    
  3. Jin, L.Q., C.X. Song and J.H. Li, 2011. Intelligent velocity control strategy for electric vehicles. Appl. Mech. Mater., 80-81: 1180-1184.
    CrossRef    
  4. Jin, L.Q., Q.N. Wang and C.X. Sun, 2007. Dynamic simulation model and experimental validation for vehicle with motorized wheels. J. Jilin Univ., Eng. Technol., 37(4): 745-750.
  5. Lee, J.S., Y.J. Ryoo, Y.C. Lim, P. Freere, T.G. Kim, S.J. Son and E.S. Kim, 2000. A neural network model of electric differential system for electric vehicle. Proceeding of the 26th Annual Confjerence of the IEEE Industrial Electronics Society, 1: 83-88.
    PMCid:PMC1637865    
  6. Liao, H.X., X. Wei, K.Q. Zhu, F. Liang and B. Zhuo, 2008. Development of vehicle speed processing and vehicle speed limit control strategy for diesel engine electronic control system. Vehicle Engine, 178(5): 66-70.
  7. Omatu, S., M. Yoshioka and T. Kosaka, 2009. PID control of speed and torque of electric vehicle. Proceeding of the 3rd International Conference on IEEE Advanced Engineering Computing and Applications in Sciences, pp: 157-162.
    CrossRef    
  8. Sakai, S.I., H. Sado and Y. Hori, 1999. Motion control in an electric vehicle with four independently driven in-wheel motors. IEEE-ASME T. Mech., 4(1): 9-16.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved