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Simulation and Optimization for an SUV Cooling System Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Research on Driving Control Strategy of Electric Racing Car Based on Pattern Recognition

Authors : Li Yuxing, Hong Hanchi, D’Apolito Luigi, Ye Yangqi

Published in: Proceedings of China SAE Congress 2021: Selected Papers

Publisher: Springer Nature Singapore

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Abstract

Aiming at the problem that the driver of the electric racing car cannot accurately select the driving mode during the competition, a driving mode recognition controller based on fuzzy control is first proposed, and three driving modes are divided by the interval of defining the driving mode factor. Then, for the power mode and the economic mode, 181 and 139 sets of data were drawn up, and the Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to inferentially calculate the accelerator pedal opening correction coefficient, so as to realize the corrective control of the accelerator pedal. Finally, the effectiveness of the drive control strategy is verified by the joint simulation of VI-grade and Matlab/Simulink.

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Metadata
Title
Research on Driving Control Strategy of Electric Racing Car Based on Pattern Recognition
Authors
Li Yuxing
Hong Hanchi
D’Apolito Luigi
Ye Yangqi
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of China SAE Congress 2021: Selected Papers

Print ISBN: 978-981-19-3841-2

Electronic ISBN: 978-981-19-3842-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-3842-9_46

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