系统仿真学报 ›› 2018, Vol. 30 ›› Issue (1): 242-248.doi: 10.16182/j.issn1004731x.joss.201801031

• 仿真应用工程 • 上一篇    下一篇

PHEV模糊能量管理策略优化设计

武小兰1, 白志峰1, 史小辉1, 曹秉刚2   

  1. 1.西安建筑科技大学机电学院,西安 710055;
    2.西安交通大学机械学院,西安 710049
  • 收稿日期:2015-11-25 发布日期:2019-01-02
  • 作者简介:武小兰(1975-),女,甘肃皋兰,博士,讲师,研究方向为电动汽车能量管理;白志峰(1974-),男,陕西蒲城,博士,讲师,研究方向为电动汽车控制与新型储能技术。
  • 基金资助:
    国家自然科学基金(51405367)

Optimization Design of Fuzzy Energy Management for Plug-in Hybrid Electric Vehicles

Wu Xiaolan1, Bai Zhifeng1, Shi Xiaohui1, Cao Binggang2   

  1. 1.School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China;
    2.School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;
  • Received:2015-11-25 Published:2019-01-02

摘要: 针对插电式混合动力电动汽车(PHEV)动力系统结构复杂、建立精确的数学模型非常困难的特点和模糊控制器设计主要依靠专家经验、主观性较大的缺点,提出一种基于粒子群优化的模糊能量管理策略,保持按专家知识设计的模糊规则不变,采用粒子群优化算法优化模糊控制器隶属度函数参数。利用Matlab/simulink建立该策略模型,并将该模型嵌入到Advisor软件中进行仿真和对比分析,结果表明,采用基于粒子群优化的模糊能量管理策略与采用未优化的模糊能量管理策略相比,能够更有效地降低燃油消耗,减少尾气排放。

关键词: 插电式混合动力电动汽车, 能量管理策略, 粒子群优化, 模糊控制

Abstract: Because of complex system configuration, it is difficult to find precise mathematics model of PHEV drivetrain. The fuzzy controller design depends mainly on expert’s experience and has much subjectivity. A fuzzy energy management strategy (EMS) based on particle swarm optimization (PSO) is presented. In this EMS, the fuzzy rules obtained from expert knowledge are unaltered and the PSO is used to optimize the parameters of membership functions of the fuzzy controller. The provided EMS model is built by Matlab/simulink and embedded in the Advisor software for simulation and comparative analysis. The result shows that, compared with the conventional fuzzy EMS, the fuzzy EMS based on PSO can more effectively reduce oil consumption and reduce tail gas emission.

Key words: plug-in hybrid electric vehicle, energy management strategy, particle swarm optimization, fuzzy control

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