Multi-objective optimization design of high-speed elevator car based on aerodynamic characteristic surrogate model

Abstract

With the increase of elevator operating speed, it is greatly affected by air disturbance, which leads to the increase of elevator cost and energy consumption, and has a huge impact on the safety, reliability and comfort of elevator operation. To improve the aerodynamic characteristics of the cabin flow field, this paper parameterizes the flow guide hoods with a structure similar to an ellipse, selecting eight design parameters. Taking the aerodynamic drag coefficient and the yawing moment coefficient as the optimization objectives, four surrogate models were constructed by using the optimal Latin hypercube design sample points and the prediction accuracy was compared. Finally, the EBF surrogate model with higher fitting accuracy was selected, and combined with the NSGA-II optimization algorithm to carry out multi-objective optimization of the flow guide hood, obtaining a series of Pareto solutions, and finally comparing and analyzing the aerodynamic performance of the flow guide hood before and after optimization. Finally, on the basis of the optimized flow guide hood, the aerodynamic characteristics of the cabin under actual operating conditions were analyzed. The results show that the installation of the flow guide hood can reduce the drag coefficient of the cabin; within a certain range, increasing the total height of the flow guide hood, the vertex offset and the inertia of the flow guide hood in the X direction can improve the aerodynamic performance of the ultra-high speed elevator system. The running scenarios such as start acceleration, smooth running, deceleration and stop will affect the aerodynamic performance of the cabin, and this study provides a reference for the optimization design of the flow guide hood and the operating conditions of the elevator.