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基于混合系统理论的再生制动系统控制策略研究
引用本文:尹安东,赵韩,孙骏. 基于混合系统理论的再生制动系统控制策略研究[J]. 电子测量与仪器学报, 2010, 24(5): 467-472. DOI: 10.3724/SP.J.1187.2010.00467
作者姓名:尹安东  赵韩  孙骏
作者单位:合肥工业大学机械与汽车工程学院,合肥,230009;安徽省汽车技术与装备工程研究中心,合肥,230009
基金项目:国家"863"节能与新能源汽车重大专项,安徽省科技攻关计划 
摘    要:再生制动是提高混合动力客车(hybridel ectricbus,HEB)经济性的重要手段。以后轮驱动的HEB为研究对象,提出了电机再生制动力和摩擦制动力以及整车前、后轮制动力协调控制的再生制动系统控制策略。基于混合系统理论描述了HEB再生制动系统,采用MATLAB/Simulink/Stateflow混合建模方法,建立了制动力协调控制的HEB再生制动系统控制策略仿真模型,并基于Advisor软件平台对实例HEB分别在中国典型城市循环工况和UDDS循环工况下进行仿真分析,结果表明,采用制动力协调控制策略制动能量回收率分别达到48.7%和50.9%,整车燃油经济性分别提高14.3%和12.8%。

关 键 词:混合动力客车  混合系统理论  再生制动  控制策略

Study on control strategy of regenerative braking system based on hybrid system theory
Yin Andong,Zhao Han,Sun Jun. Study on control strategy of regenerative braking system based on hybrid system theory[J]. Journal of Electronic Measurement and Instrument, 2010, 24(5): 467-472. DOI: 10.3724/SP.J.1187.2010.00467
Authors:Yin Andong  Zhao Han  Sun Jun
Affiliation:1.School of Machinery and Automobile Engineering,Hefei University of Technology,Hefei 230009,China;2.Anhui Research Center for Automotive Technology & Equipment Engineering,Hefei 230009,China)
Abstract:Regenerative braking is an important method to improve the economy of the Hybrid Electric Bus(HEB).With HEB of rear-wheel drive as the study object,a coordinated control strategy of front and rear brake force distributions was proposed,in which the combination of regenerative braking and friction braking was adopted.A hybrid dynamical system theory was introduced to formulate the regenerative braking system for HEB.A hybrid modeling method was presented based on the Matlab/Simulink/Stateflow.The coordinated control strategy simulation model of the regenerative braking system for HEB was established.The simulations were carried on instance HEB by Advisor.On typical urban driving cycles and UDDS simulation results show the recovery coefficient reached 48.7% and 50.9%,while fuel economy can increase by12.8% and 14.3%.
Keywords:hybrid electric bus  hybrid system theory  regenerative braking  control strategy
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