基于二次型跟踪器的实时能量管理优化策略
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U469.7

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国家重点研发计划(2018YFB0105900)


Real-time Energy Management Optimization Strategy Based on Quadratic Tracker
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    摘要:

    为了解决当前混合动力汽车能量管理策略不能同时兼顾最优性与实时性的问题,以采用行星式混合动力系统的物流车为研究对象,基于二次型跟踪器理论提出了一种可在线实时应用的能量管理优化策略。建立了行星式混合动力系统的线性数学模型,开发了直接节油型二次型跟踪器单自由度优化策略,基于MATLAB/Simulink软件平台进行了离线仿真验证,仿真结果表明该策略获得与全局优化算法相近的节油效果。在基于dSPACE/Simulator搭建的硬件在环平台上进行了硬件在环测试,测试结果表明该策略具有良好的实时应用性。

    Abstract:

    In order to solve the problem that the current hybrid electric vehicle energy management strategy can’t simultaneously consider the optimality and real-time, the logistics vehicle adopting the planetary hybrid electric system was taken as the research object, and an energy management optimization strategy based on the quadratic tracker theory for online real-time application was proposed. The linear mathematical model of the planetary hybrid electric system was established, and the single-degree-of-freedom optimization strategy of the direct fuel-saving quadratic tracker was developed. The offline simulation verification and simulation were carried out based on the MATLAB/Simulink software platform. The results show that the strategy achieves a fuel-saving effect similar to the global optimization algorithm. The hardware-in-the-loop test was carried out on the hardware-in-the-loop platform built on dSPACE/Simulator. The test results show that the strategy has good real-time applicability.

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宋大凤,杨丽丽,梁伟智,等. 基于二次型跟踪器的实时能量管理优化策略[J]. 科学技术与工程, 2020, 20(29): 12166-12171.
Song Dafeng. Real-time Energy Management Optimization Strategy Based on Quadratic Tracker[J]. Science Technology and Engineering,2020,20(29):12166-12171.

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历史
  • 收稿日期:2020-03-25
  • 最后修改日期:2020-06-25
  • 录用日期:2020-05-02
  • 在线发布日期: 2020-11-10
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