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CANoe-Based Modeling and Simulation for Heavy Lorry CAN Bus Network

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AsiaSim 2012 (AsiaSim 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 325))

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Abstract

The modeling for heavy lorry CAN bus network with CANoe is provided, and software simulation, semi-physical simulation and system integrated test are realized based on the modeling. The performance index of system and the statistic information of bus load parameters are obtained by the simulation with various stages. The validity and feasibility of the CAN bus network design are verified, the development period is shortened, the development cost is reduced and the work efficiency is improved.

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References

  1. Sun, P., et al.: Study on Three-axis stabilized Satellite Control Simulation with CANoe. Aerospace Control 27(1) (2009)

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  2. Wu, D.: The application of CANoe software in AMT Engine Torque Test, Tianjin Auto (2008)

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  3. Beijing Jingwei Hirain Technologies Co., Ltd, CAN bus design flow and instruments there of, http://www.hirain.com

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Author information

Authors and Affiliations

  1. China North Vehicle Research Institute, Beijing, 100072, China

    Xinyan Li, Min Huang, Jie Zhan, Yongliang Ni & Fengying Pang

Authors
  1. Xinyan Li
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  2. Min Huang
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  3. Jie Zhan
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  4. Yongliang Ni
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  5. Fengying Pang
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Editor information

Editors and Affiliations

  1. National CIMS Engineering Research Center, Department of Automation, Tsinghua University, 100084, Beijing, China

    Tianyuan Xiao

  2. School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China

    Lin Zhang

  3. School of Mechatronics Engineering and Automation, Shanghai University, 200072, Shanghai, China

    Minrui Fei

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, X., Huang, M., Zhan, J., Ni, Y., Pang, F. (2012). CANoe-Based Modeling and Simulation for Heavy Lorry CAN Bus Network. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-34387-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34386-5

  • Online ISBN: 978-3-642-34387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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