CVT混合动力汽车再生制动模糊控制策略  

Regenerative Barking Fuzzy Control Strategy for CVT HEV

作　　者：孙鹏龙[1] 付主木[1,2] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471023 [2]山东大学控制科学与工程学院,山东济南250061

出　　处：《计算机仿真》2014年第2期210-214,共5页Computer Simulation

基　　金：国家自然科学基金(60904023);国家航空科学基金资助项目(20110142003);中国博士后科学基金(2013T60670);河南省高校科技创新人才支持计划(13HASTIT038)

摘　　要：为了提高汽车制动能量回收率并保证制动过程的稳定性及平顺性,针对混合动力汽车制动系统的制动力分配问题进行研究,在建立制动过程数学模型的基础上,结合无级变速传动(Continuously Variable Transmission,CVT)混合动力汽车串联制动系统的特点,提出了一种基于模糊控制技术的再生制动控制策略。然后,在MATLAB软件平台上中搭建再生制动模糊控制仿真模型。仿真结果表明,与传统的比例分配控制策略相比,设计的模糊控制策略能够合理地分配前后轮液压制动力与再生制动力,有效地提高制动系统的能量回收率。In order to improve the braking energy recovery efficiency and ensure vehicle stability and comfort during braking, the problem on braking force distribution for hybrid electric vehicle（HEV） braking system was studied. On the basis of the establishment of braking process mathematic model, a regenerative braking fuzzy control strategy was proposed, combined with the characteristics of CVT HEV series braking system. Then the simulation models of regenerative barking fuzzy control strategy were established with MATLAB/ADVISOR. The simulation results show that the designed fuzzy control strategy can distribute front and rear hydraulic brake forces and regenerative brake forces reasonably, and improve the energy recovery efficiency of brake system effectively.

关 键 词：无级变速传动 混合动力汽车 再生制动 模糊控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]