Abstract
A control-oriented drivability model for en electric vehicle is described. The developed model is capable of predicting longitudinal vehicle responses that affect drivability. The model is implemented in Simulink and validated by CRUISE, and the results demonstrate sufficient accuracy for the developed model. The model is useful for design, improvement and calibration of control algorithms and strategies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Koprubasi K (2008) Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements [D]. The Ohio State University
Koprubasi K, Rizzoni G (2012) Development and experimental validation of a low-frequency dynamic model for a Hybrid Electric Vehicle [J]. Int J Powertrains 1(3)
Minh VT, Rashid AA (2012) Modeling and model predictive control for hybrid electric vehicles. Int J Automot Technol 13(3):477–485
Mills A, Hooke’s R (2007) universal joint’ and its application to sundials and the sundial-clock [J]. Notes Rec—Royal Soc London 61(2):219–236
Bayar K (2011) Development of a vehicle stability control strategy for a hybrid electric vehicle equipped with axle motors [D]. The Ohio State University
Gao Y, Ehsani M (2001) Electronic braking system of EV And HEV—integration of regenerative braking, automatic braking force control and abs [J]. SAE Technical Paper 2001-01-2478. doi:10.4271/2001-01-2478
Pacejka HB (1987) Tyre modeling for use in vehicle dynamics studies[J]. Soc Automot Eng
Zhisheng Xu (2011) Automobile Theories. China Machine Press, China (in Chinese)
Yang X (2011) The optimizing matching for transmission system based on cruise [D]. Chongqing University, Chongqing, China
Sangtarash F (2009) Effect of different regenerative braking strategies on braking performance and fuel economy in a hybrid electric bus employing cruise vehicle simulation [J]. SAE Int J Fuels Lubr 1(1 828-837). doi: 10.4271/2008-01-1561
Acknowledgments
The authors would like to thank Anhui Ankai Automobile Co., Ltd, and National Electric Vehicle System Integration Engineering Research Center. This work was supported by Key Technologies R&D Program of Anhui Province (No.1201a0201003, The development and application of control system of the electric bus drive motor).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dou, M., Wu, G., Shi, C., Liu, X. (2013). Modeling of an Electric Vehicle for Drivability Improvements. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38460-8_55
Download citation
DOI: https://doi.org/10.1007/978-3-642-38460-8_55
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38459-2
Online ISBN: 978-3-642-38460-8
eBook Packages: EngineeringEngineering (R0)