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Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications

机译:电动汽车燃料电池混合系统的自适应二阶滑模控制

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We present an adaptive-gain second order sliding mode (SOSM) control applied to a hybrid power system for electric vehicle applications. The main advantage of the adaptive SOSM is that it does not require the upper bound of the uncertainty. The proposed hybrid system consists of a polymer electrolyte membrane fuel cell (PEMFC) with a unidirectional DC/DC converter and a Li-ion battery stack with a bidirectional DC/DC converter, where the PEMFC is employed as the primary energy source and the battery is employed as the second energy source. One of the main limitations of the FC is its slow dynamics mainly due to the air-feed system and fuel-delivery system. Fuel starvation phenomenon will occur during fast load demand. Therefore, the second energy source is required to assist the main source to improve system perofrmance. The proposed energy management system contains two cascade control structures, which are used to regulate the fuel cell and battery currents to track the given reference currents and stabilize the DC bus voltage while satisfying the physical limitations. The proposed control strategy is evaluated for two real driving cycles, that is, Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Driving Schedule (HWFET).
机译:我们提出了一种自适应增益二阶滑模(SOSM)控制应用于电动汽车应用的混合动力系统。自适应SOSM的主要优点是它不需要不确定性的上限。拟议的混合动力系统由具有单向DC / DC转换器的聚合物电解质膜燃料电池(PEMFC)和具有双向DC / DC转换器的锂离子电池组组成,其中PEMFC被用作主要能源和电池被用作第二能源。 FC的主要限制之一是其缓慢的动力学,这主要归因于进气系统和燃料输送系统。快速负载需求期间会出现燃料不足现象。因此,需要第二能源来辅助主能源以改善系统性能。拟议的能源管理系统包含两个级联控制结构,用于调节燃料电池和电池电流,以跟踪给定的参考电流并稳定DC总线电压,同时满足物理限制。针对两个实际驾驶周期对拟议的控制策略进行了评估,即城市测功机驾驶时间表(UDDS)和高速公路燃油经济性驾驶时间表(HWFET)。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第13期|370424.1-370424.14|共14页
  • 作者单位

    Harbin Inst Technol, Control Sci & Engn, Harbin 150000, Peoples R China.;

    Harbin Inst Technol, Control Sci & Engn, Harbin 150000, Peoples R China.;

    Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA.;

    Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China.;

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