@inproceedings{4147edcff2d14922877c9c7d2a643e81,
title = "Research on parameters matching of hybrid electric vehicle with compound-structure induction machine",
abstract = "This paper analyzes the parameters matching problem of hybrid electric vehicle with compound-structure induction machine. According to vehicle dynamics model, the dynamic coupling of compound-structure induction machine can be studied. After the analysis of optimization for degree of hybridization, the research of parameters matching can be carried out. Furthermore, the design requirements of hybrid electric vehicle based on compound-structure induction machine are analyzed. As a result of above analysis, the requirements of three aspects: peak power, continuous power and energy are obtained. Finally, aid from the simulation of Cruise, it is verified that the parameters matching of optimization for degree of hybridization can be feasible.",
keywords = "Compound-structure induction machine, Hybrid electric vehicle, Optimization for degree of hybridization, Parameters matching",
author = "Qiwei Xu and Xiaobiao Jiang and Meng Zhao and Xiaoxiao Luo and Weidong Chen and Yunqi Mao and Shumei Cui",
note = "Publisher Copyright: {\textcopyright} 2017, Springer Nature Singapore Pte Ltd.; International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",
year = "2017",
doi = "10.1007/978-981-10-6364-0\_34",
language = "英语",
isbn = "9789811063633",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "339--350",
editor = "Patrick Luk and Kang Li and Zhile Yang and Yusheng Xue and Shumei Cui and Qun Niu",
booktitle = "Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings",
address = "德国",
}