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Modeling of an Electric Vehicle for Drivability Improvements

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Proceedings of 2013 Chinese Intelligent Automation Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 255))

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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.

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References

  1. Koprubasi K (2008) Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements [D]. The Ohio State University

    Google Scholar 

  2. 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)

    Google Scholar 

  3. Minh VT, Rashid AA (2012) Modeling and model predictive control for hybrid electric vehicles. Int J Automot Technol 13(3):477–485

    Google Scholar 

  4. 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

    Article  Google Scholar 

  5. Bayar K (2011) Development of a vehicle stability control strategy for a hybrid electric vehicle equipped with axle motors [D]. The Ohio State University

    Google Scholar 

  6. 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

  7. Pacejka HB (1987) Tyre modeling for use in vehicle dynamics studies[J]. Soc Automot Eng

    Google Scholar 

  8. Zhisheng Xu (2011) Automobile Theories. China Machine Press, China (in Chinese)

    Google Scholar 

  9. Yang X (2011) The optimizing matching for transmission system based on cruise [D]. Chongqing University, Chongqing, China

    Google Scholar 

  10. 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

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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).

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Correspondence to Manli Dou .

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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

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  • DOI: https://doi.org/10.1007/978-3-642-38460-8_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38459-2

  • Online ISBN: 978-3-642-38460-8

  • eBook Packages: EngineeringEngineering (R0)

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