2017毕业论文-并联式混合动力汽车的真能量管理的控制仿真

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1、 西南交通大学本科毕业设计 第58页并联式混合动力汽车的能量管理的控制仿真Power Management Strategies control Simulation Of Parallel Hybrid Electric Vehiele 评 阅 人评 语 评 阅 人 (签章)成 绩 答辩委员会主任 (签章) 年 月 日摘 要节能、环保和安全是当今世界的三大主题。汽车是当今人们的主要交通方式之一,也是能源消耗大户。因此,有效地解决汽车燃烧和排放问题,对缓解能源造成的压力,改善汽车排放对城市和人们生存环境具有重要意义。十多年来,电动汽车、混合动力汽车、燃料电池汽车等解决上述问题的新的汽车技术成为

2、人们研究的热点。与当今汽车技术水平相适应,发动机与电机混合驱动的混合动力汽车技术在改善汽车性能、降低汽车排放等方面效果明显,短期内有望成为低能耗、低排放汽车的替代技术。控制策略的技术研究是混合动力汽车技术开发的核心之一,也是目前混合动力汽车设计与研究的关键所在。与传统的逻辑门限控制策略相比,模糊控制主要依据工程经验来制定控制规则,并显示出了良好的控制效果和应用前景。同时,模糊控制所依据的工程经验有很大的可变性,近年来,模糊控制的优化问题越来越受到大家的关注。遗传算法作为一种成熟的优化方法,在优化多目标非线性问题上有很大的应用。将遗传算法引入模糊控制器,从而形成遗传模糊控制算法应用于实际的控制问

3、题。本文在充分分析现有混合动力汽车控制策略的前提下,总结出混合动力汽车控制策略的目标和控制策略的形式,选用遗传模糊逻辑控制策略实现并联混合动力汽车控制系统,并对优化前后进行仿真分析比较。本文的主要研究内容包括:首先,详细分析并联混合动力汽车控制策略研究的重要意义,并提出控制目标,从控制目标的角度将现有并联混合动力汽车控制策略归类说明,同时对目前控制策略进行简要的介绍。其次,介绍了在Matlab/Simulink/ADVISOR2002环境下建立的并联式混合动力汽车整车和动力总成的仿真模型,为后续模糊转矩控制策略的研究奠定基础。再次,本文详细分析介绍并联混合动力汽车转矩分配模糊逻辑控制策略。并联

4、混合动力汽车模糊逻辑控制策略的设计和研究是以并联混合动力驱动系统结构特点和目前混合动力汽车控制目标的详细分析作为基础的,利用模糊逻辑控制技术完成控制策略的设计开发。最后,本文将模糊控制应用于混合动力汽车,并进行进行仿真比较。仿真结果表明,模糊控制策略与传统的逻辑门限控制策略相比,燃油经济性有了一定的提高。说明此种控制策略与传统的逻辑门限控制策略相比有其优越性。关键词:并联 混合动力 能量管理策略 模糊控制AbstractEnergy saving, environmental protection and safety remain the three subjects in todays w

5、orld. With the development of modern technology, automobiles are becoming one of the main traffic tools for peoples, but they also consume a large of oils. So, it is of great significance for us to release the energy pressure and improve the air quality of city by taking efficient measures to reduce

6、 emissions of vehicle. One of the most important researches on modern vehicle technologies focuses on how to improve its performances and reduce the fuel consumption and emissions of vehicles. In the past ten year, some new technologies have become the hotspot because it come possible to solve the a

7、bove problems for electric vehicle, hybrid electric vehicle and fuel cell electric vehicle etc. In a short run, the hybrid propulsion system may become the substitute of low emission vehicle (LEV), ultra-low emission vehicle (ULEV) and zero-emission vehicle (ZEV) because of its potentials in reducin

8、g emissions and bettering performances of vehicle. The research of control strategy is the core of the hybrid electric vehicle, and its also the crux of HEVs design and research at present. Compared with conventional deterministic rule-based control strategy, fuzzy control strategy is based on the e

9、xpert experiments to determine the fuzzy rules, and it has good control effect with bright future. Also, fuzzy control has its changeability because of expert experiments. Genetic algorithm is a feasible optimization method that has been used in multi-objective and non-linear problem. So, fuzzy cont

10、rol strategy is tuned by genetic algorithm and generates genetic-fuzzy control strategy, then it was used in actual control problem. HEV control strategies had been analyzed in this thesis and then summarized the form of control strategies and control targets. Genetic-fuzzy logic control strategy ha

11、s been choosen to constitute energy management system (EMS) in parallel hybrid electric vehicle. Then we analyze the simulation results.The main contents are as follows:Firstly, the thesis analyze the important of HEV control strategy research in detail, putting forward control target in HEV, catego

12、rizing elucidation the HEV control strategy from the angle of these control targets existed, at the same time this thesis involves the current control strategy for a brief introduction. Secondly, the simulation models of parallel HEV and power train is built in MATLAB/Simulink and ADVISOR2002, to ma

13、ke the foundation for the future research and development. Thirdly, the thesis construes torque distribution fuzzy controller in parallel hybrid electric vehicle. The design and research of parallel HEV fuzzy logic control strategy is based on parallel HEV driving system and HEV logic threshold control strategies, using the fuzzy logic control to complete the design of control algorithm. In this thesis, fuzzy logic control strategy has been systematically introduced and builded

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