文章基本信息

标题：Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition
本地全文：下载
作者：Dapai Shi ; Liang Chu ; Jianhua Guo 等
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2017
卷号：9
期号：3
DOI：10.1177/1687814017695049
语种：English
出版社：Sage Publications Ltd.
摘要：The article researches on the energy control strategy of the series-parallel plug-in hybrid electric vehicle based on pattern recognition. First, after the dynamic analysis and energy flow directions of the planetary gears, according to the theory of leverage simulation, working conditions of power components are analyzed under various operating models. Second, static parameters and control rules are, respectively, designed under the charge-depleting and charge-sustaining models, and flow charts of the vehicle energy control are established. Third, the switch controller of energy control and charge-depleting/charge-sustaining models are designed by the MATLAB/Simulink. Finally, the whole vehicle simulation model is established and simulated by the Advisor software. Results show that the designed energy control model can effectively improve the fuel economy performance of the plug-in hybrid electric vehicle under the premise of ensuring dynamic performance indexes.
关键词：Plug-in hybrid electric vehicle; energy control strategy; lever theory; pattern recognition; planetary gears