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The Parameter Matching Study of Hybrid Time-Share Drive Electric Vehicle on a High Mobility Vehicle

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Book cover Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 168))

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Abstract

A parameters matching scheme for HEV powertrain is proposed with concurrent consideration of driving conditions,power flow control strategy and power performance.The scheme is then applied to the parameters matching design of the powertrain of hybrid time-share drive electric vehicle on mengshi. In the investigation, the power and the torque requirements for the powertrain were calculated, and parameters for powertrain components were designed preliminarily. Finally, the hybrid electric time-share drive vehicle was modeled in advisor 2002. The simulation results show that the parameter design of each powertrain component is reasonable.

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References

  1. Montazeri-Gh, M., Poursamad, A., Ghalichi, B.: Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles. Journal of the Franklin Institute 343, 420–435 (2006)

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Author information

Authors and Affiliations

  1. Department of Automobile Engineering, Military Transportation University, Tianjin, China

    Yan Sun, Shishun Zhu & Jianwen Li

  2. 66417 Troops, Xuanhua, China

    Yan Sun

  3. Department of Military Logistics, Military Transportation University, Tianjin, China

    Sujun Luo

  4. Department of Scientific Research, Military Transportation University, Tianjin, China

    Peng Ye

Authors
  1. Yan Sun
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  2. Shishun Zhu
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  3. Sujun Luo
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  4. Jianwen Li
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  5. Peng Ye
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Editor information

Editors and Affiliations

  1. Wuhan Section of ISER Association, Guangshan Road 76, Wuhan, 430072, China, People's Republic

    David Jin

  2. Researcher Association, Guangzhou Section, International Science & Education, Jinheng Road, Jinbi Garden 85-1102 144, Guang Zhou, China, People's Republic

    Sally Lin

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Sun, Y., Zhu, S., Luo, S., Li, J., Ye, P. (2012). The Parameter Matching Study of Hybrid Time-Share Drive Electric Vehicle on a High Mobility Vehicle. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-30126-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30125-4

  • Online ISBN: 978-3-642-30126-1

  • eBook Packages: EngineeringEngineering (R0)

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