基于ITS交通信息的增程式电动汽车能量管理控制策略的研究
发布时间：2018-12-11 23:52
【摘要】：面对能源紧缺和环境污染的双重压力,兼备了传统发动机车辆的续驶里程和纯电动车辆的电能驱动清洁高效优点的增程式电动汽车受到了广泛的关注。增程式电动汽车拥有动力电池和增程器两个能量源,动力电池容量较大,可以利用外部电网进行充电,能够实现一定的纯电动续驶里程,增程器能够保证较长距离的行驶,是纯电动技术瓶颈突破之前的理想过渡车型。此外,智能信息系统的发展使得电动汽车能量管理控制有了更多的灵活性和节能潜力。本文针对基于智能交通信息的增程式电动汽车充电规划控制方法和能量管理控制策略进行研究,主要研究内容如下:根据增程式电动汽车的结构特点及性能参数设计目标,对目标车型的动力系统部件进行了匹配,在Matlab/Simulink中建立了增程式电动汽车的前向仿真模型,为开展能量管理控制策略研究和效果验证提供了仿真平台。结合增程式电动汽车的工作模式,提出了增程式电动汽车多工作点控制策略,基于阿特金森循环发动机的工作特点、燃油消耗曲线、发电机效率曲线和控制策略设计要求进行了工作点的选择及计算。在控制规则中引入功率迟滞环节以缓解发动机频繁波动,进行了增程式电动汽车多工作点控制策略的仿真分析。基于"车-路-网"系统及各类电动汽车的充电特点,构建了由行程时间、能量消耗和充电等待时间组成的综合阻抗评价指标体系,对基于交通信息的增程式电动汽车的充电规划控制方法进行研究。设计了增程式电动汽车充电规划控制方案,采用Dijkstra算法求取最优充电路径。建立了北京市海淀区部分区域路网模型,进行了纯电动续驶里程内的充电路径规划仿真分析和增程模式续驶里程内的充电路径规划分析。对基于交通信息的增程式电动汽车能量管理策略进行了研究。利用实时获取的交通信息并考虑交通信息的动态变化,采用遗传算法以油耗、电耗和电池充电倍率最小为优化目标对增程器多工作点控制策略的开启时机进行实时动态优化,在保证电池寿命的基础上,进一步提高了燃油经济性。完成TC1782开发板底层软件的开发,搭建硬件在环仿真测试平台,对增程式电动汽车多工作点控制策略和基于交通信息的增程式电动汽车能量管理策略进行了测试分析。
[Abstract]:Facing the dual pressure of energy shortage and environmental pollution, extended range electric vehicles (EVs), which have both the driving range of traditional engine vehicles and the electric power drive of pure electric vehicles, have been paid more and more attention. The extended range electric vehicle has two energy sources, the power battery and the range booster. The power battery has a large capacity, it can be charged by the external power grid, and it can realize a certain range of pure electric driving, and the range booster can guarantee the long distance running. Is pure electric technology bottleneck breakthrough before the ideal transition model. In addition, with the development of intelligent information system, electric vehicle energy management and control has more flexibility and energy saving potential. In this paper, the charging planning control method and energy management control strategy of extended range electric vehicle based on intelligent traffic information are studied. The main research contents are as follows: according to the structure characteristics and performance parameter design goal of extended range electric vehicle, The power system components of the target vehicle are matched, and the forward simulation model of the extended range electric vehicle is established in Matlab/Simulink, which provides a simulation platform for the research of the energy management control strategy and the verification of the effect. Combined with the working mode of extended range electric vehicle, the control strategy of multi working point of extended range electric vehicle is put forward. Based on the working characteristics of Atkinson cycle engine and the fuel consumption curve, The generator efficiency curve and control strategy design requirements are selected and calculated. In order to alleviate the frequent fluctuation of engine, the power hysteresis is introduced into the control rules, and the simulation analysis of multi-working point control strategy for extended range electric vehicle is carried out. Based on the charging characteristics of "vehicle-road network" system and all kinds of electric vehicles, a comprehensive impedance evaluation index system composed of travel time, energy consumption and charge waiting time is constructed. The charging planning control method of extended range electric vehicle based on traffic information is studied. In this paper, an extended range electric vehicle charging planning control scheme is designed, and the optimal charging path is obtained by Dijkstra algorithm. A part of regional road network model in Haidian District of Beijing is established, and the simulation analysis of charging path planning in pure electric driving mileage and the charging path planning analysis in extended range mode are carried out. The energy management strategy of extended range electric vehicle based on traffic information is studied. Using real-time traffic information and considering the dynamic change of traffic information, the genetic algorithm is used to optimize the opening time of the multi-working point control strategy of the range booster with the minimum fuel consumption, power consumption and battery charging rate as the optimization target. On the basis of guaranteeing battery life, fuel economy is further improved. The bottom software of TC1782 development board is developed, and the hardware in loop test platform is built. The multi-working point control strategy of extended range electric vehicle and the energy management strategy of extended range electric vehicle based on traffic information are tested and analyzed.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U469.72;U495
本文编号：2373465
[Abstract]:Facing the dual pressure of energy shortage and environmental pollution, extended range electric vehicles (EVs), which have both the driving range of traditional engine vehicles and the electric power drive of pure electric vehicles, have been paid more and more attention. The extended range electric vehicle has two energy sources, the power battery and the range booster. The power battery has a large capacity, it can be charged by the external power grid, and it can realize a certain range of pure electric driving, and the range booster can guarantee the long distance running. Is pure electric technology bottleneck breakthrough before the ideal transition model. In addition, with the development of intelligent information system, electric vehicle energy management and control has more flexibility and energy saving potential. In this paper, the charging planning control method and energy management control strategy of extended range electric vehicle based on intelligent traffic information are studied. The main research contents are as follows: according to the structure characteristics and performance parameter design goal of extended range electric vehicle, The power system components of the target vehicle are matched, and the forward simulation model of the extended range electric vehicle is established in Matlab/Simulink, which provides a simulation platform for the research of the energy management control strategy and the verification of the effect. Combined with the working mode of extended range electric vehicle, the control strategy of multi working point of extended range electric vehicle is put forward. Based on the working characteristics of Atkinson cycle engine and the fuel consumption curve, The generator efficiency curve and control strategy design requirements are selected and calculated. In order to alleviate the frequent fluctuation of engine, the power hysteresis is introduced into the control rules, and the simulation analysis of multi-working point control strategy for extended range electric vehicle is carried out. Based on the charging characteristics of "vehicle-road network" system and all kinds of electric vehicles, a comprehensive impedance evaluation index system composed of travel time, energy consumption and charge waiting time is constructed. The charging planning control method of extended range electric vehicle based on traffic information is studied. In this paper, an extended range electric vehicle charging planning control scheme is designed, and the optimal charging path is obtained by Dijkstra algorithm. A part of regional road network model in Haidian District of Beijing is established, and the simulation analysis of charging path planning in pure electric driving mileage and the charging path planning analysis in extended range mode are carried out. The energy management strategy of extended range electric vehicle based on traffic information is studied. Using real-time traffic information and considering the dynamic change of traffic information, the genetic algorithm is used to optimize the opening time of the multi-working point control strategy of the range booster with the minimum fuel consumption, power consumption and battery charging rate as the optimization target. On the basis of guaranteeing battery life, fuel economy is further improved. The bottom software of TC1782 development board is developed, and the hardware in loop test platform is built. The multi-working point control strategy of extended range electric vehicle and the energy management strategy of extended range electric vehicle based on traffic information are tested and analyzed.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U469.72;U495
【参考文献】
相关硕士学位论文 前2条
1 张思远;基于Atkinson循环的汽油机开发及性能优化[D];湖南大学;2015年
2 李彦涛;混合动力汽车用Atkinson循环发动机的燃油经济性研究[D];天津大学;2012年
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