A Loss-model-based Efficiency Optimization Control Method for Induction Traction System of High-speed Train under Emergency Self-propelled Mode  

作　　者：Yutong Zhu Yaohua Li 

机构地区：[1]Institute of Electrical Engineering Chinese Academy of Sciences,Beijing 100190,China [2]University of Chinese Academy of Sciences,Beijing 100190,China [3]China Academy of Railway Sciences Corporation Limited(Beijing Zongheng Electromechanical Technology Co.Ltd,Beijing 100081 China [4]IEEE

出　　处：《CES Transactions on Electrical Machines and Systems》2024年第2期227-239,共13页中国电工技术学会电机与系统学报（英文）

基　　金：supported in part by the Science Foundation of the Chinese Academy of Railway Sciences under Grant Number:2023QT001。

摘　　要：Increasing attention has been paid to the efficiency improvement of the induction traction system of high-speed trains due to the high demand for energy saving. In emergency self-propelled mode, however, the dc-link voltage and the traction power of the motor are significantly reduced, resulting in decreased traction efficiency due to the low load and low speed operations. Aiming to tackle this problem, a novel efficiency improved control method is introduced to the emergency mode of high-speed train traction system in this paper. In the proposed method, a total loss model of induction motor considering the behaviors of both iron and copper loss is established. An improved iterative algorithm with decreased computational burden is then introduced, resulting in a fast solving of the optimal flux reference for loss minimization at each control period. In addition, considering the parameter variation problem due to the low load and low speed operations, a parameter estimation method is integrated to improve the controller's robustness. The effectiveness of the proposed method on efficiency improvement at low voltage and low load conditions is demonstrated by simulated and experimental results.

关 键 词：Efficiency optimization Induction motor Loss model control Motor drives Traction system 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] U284.48[自动化与计算机技术—控制科学与工程]