基于V2X的混合动力汽车分层能量管理及优化

发布时间：2018-03-09 10:30

  本文选题：车辆　切入点：控制　出处：《农业工程学报》2016年19期 　论文类型：期刊论文

【摘要】：为了解决混合动力汽车的实时能量管理及优化问题,在保证不过多简化被控对象的基础上得到最优解,该文提出一种基于V2X(vehicle to vehicle,车车通信,以及vehicle to infrastructure,车与交通设施通信)的分层控制方法。设计了一种分层控制器,上层控制器基于交通信号灯正时(signal phase and timing,SPAT)得到目标车速的初始值,并采用多岛遗传算法和非线性模型预测得到最优目标车速。下层控制器根据上层控制器的最优目标车速,采用自适应等效燃油消耗最小原理(adaptive equivalent consumption minimization strategy,A-ECMS),得到发动机和电机的最优输出功率。该文对分层控制方法进行了硬件在环仿真,仿真结果表明,该文提出的分层控制方法可以很好地实现混合动力汽车的实时能量管理,有效地避免混合动力汽车红灯停车,实现良好的车速跟随并减少百公里油耗。该研究可为解决混动力汽车实时能量管理及优化提供参考。
[Abstract]:In order to solve the problem of real-time energy management and optimization of hybrid electric vehicles and to obtain the optimal solution on the basis of not simplifying the controlled object too much, this paper presents a vehicle communication based on V2X vehicle to vehicle. And the layered control method of vehicle to infrastructure. a layered controller is designed. The upper controller is based on the traffic signal signal phase and timing to get the initial value of the target speed. The multi-island genetic algorithm and nonlinear model are used to predict the optimal target speed, and the lower controller is based on the optimal target speed of the upper controller. Using the principle of adaptive equivalent fuel consumption minimum, the optimal output power of engine and motor is obtained by adaptive equivalent consumption minimization strategy A-ECMS. In this paper, the hardware in loop simulation of the layered control method is carried out, and the simulation results show that, The hierarchical control method proposed in this paper can effectively realize the real-time energy management of hybrid electric vehicles and effectively avoid the red light stop of hybrid electric vehicles. The research can provide a reference for solving the real-time energy management and optimization of hybrid vehicles.
【作者单位】： 合肥工业大学机械与汽车工程学院;北方车辆研究所;
【分类号】：U469.72
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本文编号：1588143