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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 377))

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Abstract

In order to improve the dynamic performance of vehicle driven by in-wheel motor, the acceleration slip regulation (ASR) is established based on the road identification. The ASR control adopted a slip mode control method based on the road’s optimal slip rate and designed an abnormal fault detector based on CUSUM algorithm. The optimal estimation of slip rate can be realized based on the figure and the filtering algorithm. This kind of control is proven by a real-time simulation in the (HIL) Hardware In Loop in order to improve the vehicle’s performance including the directly accelerating ability. It can also help the vehicle to cross road obstacles better.

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References

  1. Maeda K, Fujimoto H, Hori Y (2012) Four-wheel driving-force distribution method for instantaneous or split slippery roads for electric vehicle with in-wheel motors. In: The 12th IEEE international workshop on advanced motion control, Sarajevo, Bosnia and Herzegovina, pp 1–6

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  2. Lipeng Z, Liang L, Bingnan Q, Jian S, Haigang X (2013) Torque adaptive traction control for distributed drive electric vehicle. J Mech Eng 20(13):106–113 (in Chinese)

    Google Scholar 

  3. Kawabe T (2012) Model predictive PID traction control systems for electric vehicles. In: 2012 IEEE international conference on control applications. Dubrovnik, Croatia, pp 112–117

    Google Scholar 

  4. Ha H, Kim J, Lee J (2013) VDC of in-wheel EV simulation based on precise wheel torque control. Lect Notes Comput Sci 8102(1):56–65

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Correspondence to Guibing Yang .

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© 2016 Springer-Verlag Berlin Heidelberg

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Yang, G., Liao, Z., Liu, C., Qin, D. (2016). A Study on Acceleration Slip Regulation of Electric Drive Vehicle Based on Road Identification. In: Jia, L., Liu, Z., Qin, Y., Ding, R., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49367-0_51

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  • DOI: https://doi.org/10.1007/978-3-662-49367-0_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49365-6

  • Online ISBN: 978-3-662-49367-0

  • eBook Packages: EnergyEnergy (R0)

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