全工况下UPS飞轮储能永磁同步电机协同优化研究

文献信息

中文摘要

飞轮储能系统（FESS）因其响应快、循环寿命长等优点，在新能源领域受到广泛关注。然而，由于飞轮储能电机特有的结构和运行特性，其设计过程面临多物理场相互作用的挑战，且尚未建立统一的设计标准。本研究优化了Halbach永磁阵列布置，以抑制待机铁耗并提高碳纤维绑扎适应性，促进高速稳定运行。在此基础上，本研究针对高维设计空间中优化参数过多以及传统多目标策略局限性的挑战，旨在全面提升FESS在待机、充电和放电模式下的性能。基于解析方法，提取系统参数以建立优化目标和变量框架。针对超高维参数集的挑战，提出了一种多级多目标优化方法，采用综合灵敏度系数对多物理性能进行协同优化。优化后，系统在机械性能、待机效率、放电功率以及充放电模式稳定性方面均表现出显著提升。三种模式下的电磁性能和多物理特性均优于优化前状态。样机测试进一步验证了关于电磁性能、放电能力和温升的分析合理性。所提方法有效提升了系统的综合性能，为飞轮储能电机设计提供了可行的技术路径。

英文摘要

Flywheel energy storage systems (FESS) have attracted significant attention in the field of new energy due to their advantages of fast response and long cycle life. However, due to the specific structural and operating characteristics of flywheel energy storage motors, the design process faces challenges regarding multi-physics interactions, and unified design standards have yet to be established. This study optimizes the Halbach PM array arrangement to suppress standby iron losses and improve carbon fiber binding adaptability, facilitating stable high-speed operation. Building on this foundation, this research tackles the challenges of excessive optimization parameters and conventional multi-objective strategy limitations in high-dimensional design spaces, aiming to comprehensively enhance FESS performance across standby, charging, and discharging modes. Based on an analytical approach, system parameters are extracted to establish the optimization objective and variable framework. To address the challenge of ultra-high-dimensional parameter sets, a multi-level multi-objective optimization method is proposed, employing comprehensive sensitivity coefficients for cooperative optimization of multi-physics performance. Following optimization, the system demonstrates significant improvements in mechanical performance, standby efficiency, discharge power, and the stability of charge-discharge modes. The electromagnetic performance and multi-physics characteristics across all three modes are superior to the pre-optimization state. Prototype testing further validates the rationality of the analysis regarding electromagnetic performance, discharge capability, and temperature rise. The proposed method effectively enhances the comprehensive performance of the system, providing a feasible technical pathway for the design of flywheel energy storage motors.