TY - GEN
T1 - A Time-delay Neural Network of Sideslip Angle Estimation for In-wheel Motor Drive Electric Vehicles
AU - Liu, Jizheng
AU - Wang, Zhenpo
AU - Zhang, Lei
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
KW - In-wheel-motor-drive electric vehicles
KW - Kalman filter
KW - Principle component analysis
KW - Sideslip angle
KW - Time-delay neural network
UR - https://www.scopus.com/pages/publications/85088308017
U2 - 10.1109/VTC2020-Spring48590.2020.9129466
DO - 10.1109/VTC2020-Spring48590.2020.9129466
M3 - Conference contribution
AN - SCOPUS:85088308017
T3 - IEEE Vehicular Technology Conference
BT - 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 91st IEEE Vehicular Technology Conference, VTC Spring 2020
Y2 - 25 May 2020 through 28 May 2020
ER -