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题名	混合动力电动汽车匹配优化及控制策略研究; 混合动力电动汽车匹配优化及控制策略研究
作者	1万亮,电工研究所
学位类别	硕士
答辩日期	2008-06-03
授予单位	中国科学院电工研究所
导师	1王丽芳,电工研究所
关键词	混合动力电动汽车 匹配优化 控制策略 自动代码生成 硬件在环 HEV match and optimization control stategy automation coder generator HIL
其他题名	混合动力电动汽车匹配优化及控制策略研究
中文摘要	混合动力电动汽车是解决当今环境污染和能源危机的一种有效车型，零部件的匹配优化以及整车的控制策略是混合动力电动汽车的关键技术。本文以某混联型混合动力电动汽车为研究对象，对零部件匹配优化以及整车控制策略进 行了研究。 首先利用优化算法对混合动力车进行匹配优化。在分析了混合动力汽车零部件匹配优化功能需求的基础上，搭建了应用于整车匹配优化的软件体系，通过一些工程化的方法，将该工程问题转化为数学问题，利用SQP 和IRECT 算法进行求解，并对威乐混合动力汽车进行了匹配优化，得到的优化结果作为实际车型的选型参考和依据。 结合威乐车构型及零部件技术现状，建立了适用于该车型的整车控制策略。 对于具有四轮驱动功能的该结构，设计了“驾驶员意图识别-能量管理策略-系统协调控制”的分级控制策略。有效解决了由多个控制对象组成的混杂动态系 统的控制问题。建立了驾驶员意图识别基本算法。通过对能量流动路径的效率分析，制定了考虑轮边电机和不考虑轮边电机的控制策略。应用所建立的仿真平台，对控制算法进行了仿真调试和分析、验证。 建立了基dSPAC 的硬件在环仿真测试系统。将上述控制策略通过MATLAB/RTW 的自动代码生成工具转化为实时的代码，下载到整车控制器，在搭建的硬件在环仿真系统上对生成的代码进行了功能验证，提高开发效率。 最后，通过实际的发动机台架试验及整车性能试验，测试和验证控制策略的功能。试验结果表明，所开发的控制策略可以合理、准确地控制目标车型实现多工况运行和工况切换，并实现了整车动力性和经济性指标。 It is known that the Hybrid Electric Vehicle (HEV) is the most available to achieve a better fuel economy and lower emission. The HEV’s components match and optimization and vehicle control strategy is the key technologies for HEV. Taking a hybrid electric sedan with a complex hybrid system as the research object, the components match and optimization and control strategy is studied. The components match and optimization based on optimal Algorithm is presented at the beginning of this dissertation. After analyzing the function requirements of HEV’s match and optimization, the software system was established to fulfill the requirement. Then convert it a mathematics problem in an engineering method. And use SQP and DIRECT to solve the problem. With this system, get the match and optimization result of the WeiLe HEV, and the result is used as the reference of the components selection. The three component modules of the control strategy, including driver intent identification, energy management and coordinated control of the powertrain system, is argued in the followed chapter, taking the actual condition of the HEV into account. The driver intent identification algorithm was developed, and the control strategy with/without the wheel motors is made based on the efficient of the energy flow. And the whole control algorithm has been debugged, analyzed and validated based on the simulation platform. The hardware in the loop simulation system based on dSPACE was established. Using the MATLAB/RTW to convert the algorithm into C code, and download to the controller. Then test the algorithm’s function in the hardware in the loop(HIL) system. The development efficiency was improved greatly. In the last part, engine bench test and road experiments are taken to debug and validate functionality and capability of HEV’s control strategy. It is manifested that by the results that the designed control strategy can control the hybrid powertrain properly to realize all working patterns as well as all state switches between them, and finally it can fulfill the HEV’s dynamic and economic indicators.
语种	中文
公开日期	2010-10-18
页码	100
分类号	TM3;TM5
内容类型	学位论文
源URL	[http://ir.iee.ac.cn/handle/311042/7045]
专题	电工研究所_其他部门_其他部门_硕士学位论文
推荐引用方式 GB/T 7714	1万亮,电工研究所. 混合动力电动汽车匹配优化及控制策略研究, 混合动力电动汽车匹配优化及控制策略研究[D]. 中国科学院电工研究所. 2008.

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