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A Time-delay Neural Network of Sideslip Angle Estimation for In-wheel Motor Drive Electric Vehicles

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a time-delay neural network (TDNN) is proposed to estimate the sideslip angle under extreme maneuvers for in-wheel-motor-drive electric vehicles (IWMD EVs). The principle component analysis (PCA) method is first utilized for data preprocessing. Then a time delay module is introduced into the neural network model to improve its robustness. The estimated sideslip angle is further filtered by the Kalman filter. Finally, the proposed estimation scheme is verified via the comprehensive hardware-in-loop (HIL) tests, in which the proposed method can achieve high estimation accuracy.

源语言英语
主期刊名2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728152073
DOI
出版状态已出版 - 5月 2020
活动91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, 比利时
期限: 25 5月 202028 5月 2020

出版系列

姓名IEEE Vehicular Technology Conference
2020-May
ISSN(印刷版)1550-2252

会议

会议91st IEEE Vehicular Technology Conference, VTC Spring 2020
国家/地区比利时
Antwerp
时期25/05/2028/05/20

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