TY - JOUR
T1 - Research on Drive Torque Command Optimization and System Disturbance Rejection Mechanism for Torsional Vibration Control of Electro-Mechanical Transmission System
AU - Yang, Dianzhao
AU - Liu, Hui
AU - Gao, Pu
AU - Zhang, Wei
AU - Yan, Qi
AU - Chen, Ke
AU - Yang, Huibin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2025
Y1 - 2025
N2 - The Electro-Mechanical Transmission System (EMT) integrates the electric drive system and transmission system in vehicles, and its performance can degrade rapidly under specific operating conditions. This issue can be effectively improved by active torsional vibration suppression strategies. However, vibration suppression and dynamic response inherently contradict each other. Additionally, many vibration suppression strategies are based on overly simplified models, resulting in poor alignment with real-world scenarios. To improve these issues, an active vibration suppression strategy based on feedforward-eedback control (AVS-FFC) is proposed. The feedforward strategy selects parameters based on dynamic response speed constraints, separates the main frequency of the drive torque from the EMT low-order natural frequencies, and minimizes the energy of the drive torque in the high-order natural frequency regions to reduce EMT torsional vibration. To address the challenges in strategy development due to inaccuracies in simplified models, a model reduction method based on modal contribution evaluation and stiffness sensitivity analysis is proposed. Using the reduced-order model, a feedback control strategy based on the EMT ideal characteristics is developed to mitigate the impact of disturbances on the vibration suppression effectiveness of the feedforward strategy. Simulations and experiments confirm the effectiveness of the AVS-FFC in suppressing torsional vibration.
AB - The Electro-Mechanical Transmission System (EMT) integrates the electric drive system and transmission system in vehicles, and its performance can degrade rapidly under specific operating conditions. This issue can be effectively improved by active torsional vibration suppression strategies. However, vibration suppression and dynamic response inherently contradict each other. Additionally, many vibration suppression strategies are based on overly simplified models, resulting in poor alignment with real-world scenarios. To improve these issues, an active vibration suppression strategy based on feedforward-eedback control (AVS-FFC) is proposed. The feedforward strategy selects parameters based on dynamic response speed constraints, separates the main frequency of the drive torque from the EMT low-order natural frequencies, and minimizes the energy of the drive torque in the high-order natural frequency regions to reduce EMT torsional vibration. To address the challenges in strategy development due to inaccuracies in simplified models, a model reduction method based on modal contribution evaluation and stiffness sensitivity analysis is proposed. Using the reduced-order model, a feedback control strategy based on the EMT ideal characteristics is developed to mitigate the impact of disturbances on the vibration suppression effectiveness of the feedforward strategy. Simulations and experiments confirm the effectiveness of the AVS-FFC in suppressing torsional vibration.
KW - Electro-mechanical transmission system
KW - Feedforward-feedback control
KW - Heavy vehicle
KW - Optimization
KW - Torsional vibration
UR - http://www.scopus.com/inward/record.url?scp=85215597741&partnerID=8YFLogxK
U2 - 10.1109/TTE.2025.3530444
DO - 10.1109/TTE.2025.3530444
M3 - Article
AN - SCOPUS:85215597741
SN - 2332-7782
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
ER -