基于参数统计特征的混合动力汽车控制策略的研究

发布时间：2018-01-26 22:22

本文关键词： 混合动力汽车后向计算系统效率优化控制策略性能仿真　出处：《重庆理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来的环境污染问题加剧,尾气排放法规要求日益严苛,对于汽车产业而言进行能源结构的调整是一项紧迫而艰巨的任务。但是纯电动汽车由于受到了电池储能元件的能量密度限制,暂时无法替代传统内燃机汽车。于是采用混合动力汽车的方式能够很好结合两者的优点,降低燃油消耗,减少尾气排放,并显著提高续航里程。本文的研究对象——针对中度混合动力汽车的控制策略,结合了传统逻辑门限策略的有效性和系统效率最高的目标,利用统计的方法来统计车辆行驶过程中的平均车速和平均功率,采用以系统效率最高为目标的后向计算优化方法,优化出取得最佳系统效率时平均车速、平均功率下对应的电池SOC,将其作为控制的目标SOC来动态调节车辆的工况,使不同的驱动工况下系统效率最优。针对这一目标,做出了如下的工作:研究了不同结构、形式的混合动力汽车的分类方法,针对目标车型重新进行了动力匹配和部件选型计算,从不同极限工况下功率需求的角度对车辆动力总成的参数进行了计算和匹配研究。研究了中度混合动力汽车的细分工况的划分,针对划分的不同工况,以系统效率最优作为优化目标,对发动机单驱驱动下以经济行为目标的工况、电机单独驱动工况、发动机与电机协同驱动下两种细分工况做出了基于后向计算下的系统效率参数优化。通过系统效率最优为目标的后向计算优化结果,结合参数统计计算得到的平均车速和平均功率,通过后向计算的方法求出系统最优条件下的电池目标SOC,将目标SOC作为控制变量,制定基于统计参数的后向计算控制策略。在Matlab/simulink中建立了搭载CVT的中度混合动力汽车的仿真模型,将基于参数统计的控制策略嵌入仿真模型中,针对细分工况下进行仿真,验证了控制策略的有效性以及仿真模型的合理意义。
[Abstract]:In recent years, the problem of environmental pollution has become more and more serious, and the requirements of exhaust emission regulations have become increasingly stringent. The adjustment of energy structure is an urgent and arduous task for automobile industry, but pure electric vehicles are limited by the energy density of battery energy storage components. It is not possible to replace the traditional internal combustion engine vehicle for the time being. Therefore, the hybrid electric vehicle can combine the advantages of both, reduce fuel consumption and reduce exhaust emissions. And significantly improve the mileage. The research object of this paper is the control strategy of moderate HEV, which combines the effectiveness of the traditional logic threshold strategy and the goal of the highest system efficiency. The statistical method is used to calculate the average speed and average power of the vehicle in the course of driving. The optimization method of backward calculation aiming at the highest system efficiency is adopted to optimize the average speed when the best system efficiency is obtained. The battery SOCs corresponding to the average power are used as the control target SOC to dynamically adjust the vehicle operating conditions so as to optimize the system efficiency under different driving conditions. The following work is done: the classification method of hybrid electric vehicle with different structure and form is studied, and the power matching and component selection calculation for the target vehicle are redone. From the point of view of power demand under different limit conditions, the parameters of vehicle powertrain are calculated and matched, and the subdivision of medium hybrid electric vehicle is studied, aiming at the different working conditions. The optimal system efficiency is taken as the optimization objective, and the motor is driven separately under the condition of economic behavior under the single drive drive of engine. The optimization of system efficiency parameters based on backward calculation is made under two subdivision conditions, which are driven by engine and motor, and the optimization results of system efficiency are obtained through the optimization of system efficiency. Combined with the average speed and average power obtained from the statistical calculation of parameters, the battery target SOCs under the optimal system conditions are calculated by backward calculation method, and the target SOC is taken as the control variable. A backward computational control strategy based on statistical parameters is established. The simulation model of medium hybrid electric vehicle with CVT is established in Matlab/simulink. The control strategy based on parameter statistics is embedded in the simulation model. The simulation results show that the control strategy is effective and the simulation model is reasonable.
【学位授予单位】：重庆理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U469.7

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