【作者】 李俊杰；

【导师】 于秀敏；

【作者基本信息】 吉林大学 ， 动力机械及工程， 2012， 硕士

【摘要】 由于汽车主要燃油储量日益紧张，而市场需求量却日益增长，所以各大汽车生产厂家和学者将研究重点放在了如何节省燃油消耗量的解决方法上，一方面提高传统汽车中发动机的先进技术，一方面拓展研究，开发新能源汽车，即新型能源汽车，例如天然气发动机、混合动力车等。混合动力汽车的优势在于油电混合，互补优势，在合理的控制策略下能够不同程度的提高燃油经济性。目前，混合动力汽车控制策略方法有很多，本文主要以某款并联混合动力汽车为研究对象，选取动态规划算法来提高整车燃油经济性。本文主要研究工作和结论如下：首先根据已实际测试的车辆抽象出整车结构布置图，建立各关键部件的连接关系图；其次对各个关键部件进行了建模方法研究，主要采用以实验建模法和理论建模法相结合的方法；最后，建立了驾驶员模型，控制器模型，传动系模型及车辆运动模型，将各模型相对应连接关系的输入和输出变量连接起来，完成了整车的模型搭建。为确保模型的准确和有效性，防止仿真分析结果失真，本文阐述了主要部件的台架试验方法和关键特性曲线的重要性和测试方法，同时将已知整车实际路面测试数据与模型仿真数据所绘制的曲线进行对比，从而验证了整车模型的准确性和有效性，从而进一步基于此模型进行整车功率分配优化算法的研究。为了研究并联混合动力汽车功率分配优化算法，本文提出了应用动态规划算法进行求解全局最优经济性的问题，以第二章建立的模型为基础，给出详细的动态规划算法参数设计方法和控制程序编写步骤。在基于Matlab/Simulink软件平台上，经过调整基本测试参数，完成了动态规划算法的反向计算与正向寻优过程，文中选用了我国测试标准的NEDC测试循环和国际上比较严格的US06、FTP测试循环进行计算分析，在各种工况下，寻找到此款车辆的燃油消耗最小值路径，从而得到相应的最优换挡选择策略，以及功率分配策略等，从而实现了提高整车燃油经济性的目的。更多还原

【Abstract】 Because of the oil reserves are increasingly nervous, with the growing market demand, themajor automobile manufacturers and scholars are focusing on a solution how to let fuelconsumption down, on the one hand, to improve the advanced engine technology oftraditional car, on the one hand, to develop new energy vehicles, for example, nature gasengine, hybrid electric vehicles (HEV) and so on. With the reasonable control strategy, HEVcombined with oil and electric power can improve the fuel economy substantially. Nowadays,in many control strategies, the dynamic programming control strategy (DPCS) is chosen forimprove the overall fuel economy of HEV, based on one kind of car.The major work and conclusions in this dissertation are as follows:First of all, according to the configuration of tested vehicle, the simple schematic can beabstracted. And then the model of main component can be established with the method oftheory and experiment. Third, driver model, control model, transmission model and vehicledynamic model, engine model, motor model and battery model are developed, and connectedthrough input and output variable.For the assurance of model accurate and efficiency, the test method of the key performancecurve of main component is being introduced, also compared with the actual road test dataand simulation curve. From the results, it can be verified that the model has the reliability andauthenticity, so that the further study of vehicle power distribution optimization algorithm canbe made.For the study of PHEV power distribution optimization algorithm, a dynamic programmingalgorithm for solving the global optimum economy is proposed, based on the model established in Chapter II, to give the design method of detailed parameter and theprogramming steps of dynamic programming algorithm.Based on Matlab/Simulink software platform, after adjustments to the basic testparameters, the forward calculation and the reverse searching optimization process ofdynamic programming algorithm can be completed. The NEDC test cycle simulated withChina’s testing standards and the US06test cycle, and FTP test cycle which is more strictlytest standard in the international was calculated and analyzed in this paper. Under a certaintest condition, the minimum path of vehicle fuel consumption can be found, so that thestrategies of optimal shift selection and power distribution will be got, and the purpose ofimproving fuel economy can be achieved.更多还原