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Energy management strategy research on a hybrid power system by hardware-in-loop experiments

机译:基于硬件在环实验的混合动力系统能源管理策略研究

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摘要

A fuzzy logic-based energy management strategy for a hybrid power system used in electric vehicles was developed and verified in this paper. First, the topology structure of a hybrid power system was put forward that the ultracapacitors connected with the battery pack in parallel after a bidirectional DC/DC converter. To improve the systematic efficiency, a fuzzy logic-based energy management strategy was designed and the control model was built. We proposed an active electricity management module for the ultracapacitors on the basis of the real-time vehicle velocity. Then, the vehicle model, the interface model of the electrical load and the xPC Target were built with the Simulink/State flow soft. Finally, the hybrid power/energy system-in-loop simulation experiment was carried out to verify the energy management strategy under the Urban Dynamometer Driving Schedule (UDDS) dynamic driving cycle. The results show the proposed fuzzy logic-based energy management strategy can ensure the battery pack working in high efficiency range and show better performance than the traditional logic threshold-based control strategy. The hybrid power system's electricity economy was improved by 4.1% and the bad influences of the high-current discharging and charging on battery pack were avoided successfully.
机译:本文开发并验证了基于模糊逻辑的混合动力电动汽车能源管理策略。首先,提出了一种混合动力系统的拓扑结构,即超级电容器在双向DC / DC转换器之后与电池组并联连接。为了提高系统效率,设计了基于模糊逻辑的能源管理策略,并建立了控制模型。我们基于实时车速为超级电容器提出了一个有源电力管理模块。然后,使用Simulink / State flow soft构建车辆模型,电负载的接口模型和xPC Target。最后,进行了混合动力/能源系统在环仿真实验,以验证城市测功机驾驶时间表(UDDS)动态驾驶周期下的能源管理策略。结果表明,与传统的基于逻辑阈值的控制策略相比,所提出的基于模糊逻辑的能量管理策略可以确保电池组在高效率范围内工作,并具有更好的性能。混合动力系统的电力经济性提高了4.1%,成功避免了大电流放电和充电对电池组的不利影响。

著录项

  • 来源
    《Applied Energy》 |2013年第12期|1311-1317|共7页
  • 作者单位

    National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, South No.5, Zhongguancun Street, Beijing 100081, China;

    National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, South No.5, Zhongguancun Street, Beijing 100081, China;

    National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, South No.5, Zhongguancun Street, Beijing 100081, China;

    National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, South No.5, Zhongguancun Street, Beijing 100081, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    xPC Target; Hardware-in-loop experiment; Battery pack; Hybrid power/energy system; Electric vehicles;

    机译:xPC目标;硬件在环实验;电池组;混合动力/能源系统;电动车;

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