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Research on Motor Speed Estimation Method Based on Electric Vehicle

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

The classification describes common methods for estimating motor speed. Methods completely dependent on the physical parameters of the motor and the electromagnetic equation are easy to implement, but have poor robustness and anti-noise ability. Methods partially dependent on the physical parameters of the motor and the electromagnetic equation are introduced. Simulated and compared Model Reference Adaptive System (MRAS) and Sliding Mode Observer (SMO). Methods independent of the physical motor parameters and electromagnetic equations are introduced. Introduced common artificial intelligence algorithms. The applicability of various algorithms is summarized.

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Acknowledgements

This work was supported by the Science and Technology Department of Sichuan Province (Grant No. 2017GZYZF0014), by the Science and Technology Department of Yibin (Grants No. 2018JZ0050, Grants No. 2018SF020, Grants No. 2018ZSF001).

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Authors and Affiliations

  1. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Jian He & Bo Li

Authors
  1. Jian He
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  2. Bo Li
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Corresponding author

Correspondence to Bo Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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He, J., Li, B. (2020). Research on Motor Speed Estimation Method Based on Electric Vehicle. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_101

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_101

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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