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Vehicle Speed Prediction Based on BP Neural Network for an Energy-saving Vehicle of shell Eco Marathon

Published: 14 March 2022 Publication History
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References

[1]
S. Sabarad and S. Sanyal, "Establishing an optimal eco-driving strategy for an electric vehicle through testbed simulation — A case study from Shell Eco-Marathon 2018," 2019 IEEE Students Conference on Engineering and Systems (SCES), 2019, pp. 1-6.
[2]
S. Han, F. Zhang, J. Xi, Y. Ren and S. Xu, "Short-term Vehicle Speed Prediction Based on Convolutional Bidirectional LSTM Networks," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, pp. 4055-4060.
[3]
J. Lemieux and Y. Ma, "Vehicle Speed Prediction Using Deep Learning," 2015 IEEE Vehicle Power and Propulsion Conference (VPPC), 2015, pp. 1-5.
[4]
N. Amann, J. Bocker and F. Prenner, "Active damping of drive train oscillations for an electrically driven vehicle," in IEEE/ASME Transactions on Mechatronics, vol. 9, no. 4, pp. 697-700, Dec. 2004.
[5]
Peng Xu, Jianbo Cao, Guifang Guo and Binggang Cao, "Torque coordinated control of independent driving electric vehicles base on BP neural network," 2008 IEEE International Conference on Automation and Logistics, 2008, pp. 710-714.
  1. Vehicle Speed Prediction Based on BP Neural Network for an Energy-saving Vehicle of shell Eco Marathon

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    AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2021
    3136 pages
    ISBN:9781450385046
    DOI:10.1145/3495018
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 14 March 2022

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