TY - JOUR
T1 - Optimization parameter selection method “point to line to surface to point” of electromechanical composite transmission system based on vibration power
AU - Yan, Keyu
AU - Gao, Pu
AU - Liu, Hui
AU - Xiang, Changle
AU - Li, Chichen
N1 - Publisher Copyright:
© IMechE 2025.
PY - 2025
Y1 - 2025
N2 - As electromechanical composite transmission (EMT) advances toward higher speeds, heavier loads, and greater power density, the intricate vibration transmission paths within the system intensify the coupled vibrations among its components. This study builds upon previous research into vibration transmission in simple single-degree-of-freedom systems. Employing vibration power theory, it analyzes how vibrations propagate between interfaces of subsystems, identifying key parameters influencing vibration to enhance the efficiency of dynamic optimization. Furthermore, this research refines an electromechanical coupling interface model represented by interface forces, based on the system’s electromechanical coupled dynamic model. By utilizing vibration power to characterize the work done by interface forces in EMT system, this study introduces novel perspectives in model analysis of vibration transmission. Simultaneously, this study proposes a “point-to-line-to-surface-to-point” optimization parameter pre-screening method based on vibration power. This method integrates vibration power with sensitivity analysis, progressively narrowing down the range of optimization targets and parameters through analyzing the transmission of vibration power within the system and calculating the sensitivity of component parameters to vibration power. Research findings indicate that tooth profile manufacturing error between the sun gear and planetary gears is the optimal parameter for reducing torsional vibration displacement in the studied EMT system. This study serves as a practical validation of vibration power theory in complex systems, providing guidance for the dynamic optimization and performance enhancement of EMT system.
AB - As electromechanical composite transmission (EMT) advances toward higher speeds, heavier loads, and greater power density, the intricate vibration transmission paths within the system intensify the coupled vibrations among its components. This study builds upon previous research into vibration transmission in simple single-degree-of-freedom systems. Employing vibration power theory, it analyzes how vibrations propagate between interfaces of subsystems, identifying key parameters influencing vibration to enhance the efficiency of dynamic optimization. Furthermore, this research refines an electromechanical coupling interface model represented by interface forces, based on the system’s electromechanical coupled dynamic model. By utilizing vibration power to characterize the work done by interface forces in EMT system, this study introduces novel perspectives in model analysis of vibration transmission. Simultaneously, this study proposes a “point-to-line-to-surface-to-point” optimization parameter pre-screening method based on vibration power. This method integrates vibration power with sensitivity analysis, progressively narrowing down the range of optimization targets and parameters through analyzing the transmission of vibration power within the system and calculating the sensitivity of component parameters to vibration power. Research findings indicate that tooth profile manufacturing error between the sun gear and planetary gears is the optimal parameter for reducing torsional vibration displacement in the studied EMT system. This study serves as a practical validation of vibration power theory in complex systems, providing guidance for the dynamic optimization and performance enhancement of EMT system.
KW - Electromechanical composite transmission systems
KW - parameter pre-screening
KW - vibration power
KW - vibration power sensitivity
KW - vibration transmission
UR - http://www.scopus.com/inward/record.url?scp=105003994078&partnerID=8YFLogxK
U2 - 10.1177/09544070251332673
DO - 10.1177/09544070251332673
M3 - Article
AN - SCOPUS:105003994078
SN - 0954-4070
JO - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
ER -