TY - JOUR
T1 - Study on torsional vibration characteristics and suppression of electric vehicles with dual-motor drive system
AU - Yue, Hongwei
AU - He, Hongwen
AU - Han, Mo
N1 - Publisher Copyright:
© 2022 The Franklin Institute
PY - 2023/1
Y1 - 2023/1
N2 - The battery electric vehicles with dual-motor coupling drive system have serious torsional vibration problems when the driving torque changes rapidly. This paper targets at reducing the negative effect of the torsional vibration with an active control strategy. The torsional vibration model of the dual-motor coupling drive system is established through the lumped mass method. A four-inertia modeling method which can reflect the powertrain configuration characteristics is proposed, by simplifying the traditional lumped mass model, and the feasibility is verified based on the error comparing of the torsional vibration characteristics between the two models. Combined Kalman filter theory, PID control theory and fuzzy control theory, a real-time self-tuning active control strategy is proposed to compensate motor torque by considering vehicle acceleration as the control input. Finally, the four-inertia model with the control strategy is simulated under such conditions as the torque abrupt change and the C-WTVC driving cycle. The simulation results indicated that the proposed active control strategy performs well in the torsional vibration suppression and the control effect is robust to the different structural parameters.
AB - The battery electric vehicles with dual-motor coupling drive system have serious torsional vibration problems when the driving torque changes rapidly. This paper targets at reducing the negative effect of the torsional vibration with an active control strategy. The torsional vibration model of the dual-motor coupling drive system is established through the lumped mass method. A four-inertia modeling method which can reflect the powertrain configuration characteristics is proposed, by simplifying the traditional lumped mass model, and the feasibility is verified based on the error comparing of the torsional vibration characteristics between the two models. Combined Kalman filter theory, PID control theory and fuzzy control theory, a real-time self-tuning active control strategy is proposed to compensate motor torque by considering vehicle acceleration as the control input. Finally, the four-inertia model with the control strategy is simulated under such conditions as the torque abrupt change and the C-WTVC driving cycle. The simulation results indicated that the proposed active control strategy performs well in the torsional vibration suppression and the control effect is robust to the different structural parameters.
UR - http://www.scopus.com/inward/record.url?scp=85144246131&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2022.11.008
DO - 10.1016/j.jfranklin.2022.11.008
M3 - Article
AN - SCOPUS:85144246131
SN - 0016-0032
VL - 360
SP - 380
EP - 402
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 1
ER -