Modeling and Identification of Longitudinal Responses of an Electric Vehicle for Drivability Improvement

Authors

  • M.L. Dou University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China
  • G. Wu University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China
  • Ch. Shi University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China
  • X.G. Liu University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

DOI:

https://doi.org/10.3991/ijoe.v9i4.2821

Abstract


This paper develops a control-oriented drivability model for an electric vehicle. First, we establish a discrete-time nonlinear input-output mechanism model through investigating the longitudinal dynamic characteristics of the vehicle. Second, we use the least squares method to identify the model parameters based on the data obtained from a real electric vehicle. The model is built in Simulink and its accuracy is validated by CRUISE. The calibration results demonstrate that the identified model is capable of predicting longitudinal vehicle responses that affect drivability and useful in control algorithm design.

Author Biographies

M.L. Dou, University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

G. Wu, University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

Ch. Shi, University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

X.G. Liu, University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

University of Science and Technology of China, Faculty of the School of Information Science and Technology, Hefei, China

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Published

2013-07-23

How to Cite

Dou, M., Wu, G., Shi, C., & Liu, X. (2013). Modeling and Identification of Longitudinal Responses of an Electric Vehicle for Drivability Improvement. International Journal of Online and Biomedical Engineering (iJOE), 9(4), pp. 22–27. https://doi.org/10.3991/ijoe.v9i4.2821

Issue

Vol. 9 No. 4 (2013)

Section

Special Focus Papers