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作 者:李桢辉 付主木 陶发展[1,2] LI Zhen-hui;FU Zhu-mu;TAO Fa-zhan(School of Information Engineering,Henan University of Science and Technology,Luoyang 471023,China;Henan Key Laboratory of Robot and Intelligent Systems,Henan University of Science and Technology,Luoyang 471023,China)
机构地区:[1]河南科技大学信息工程学院,河南洛阳471023 [2]河南科技大学河南省机器人与智能系统重点实验室,河南洛阳471023
出 处:《火力与指挥控制》2019年第10期113-118,共6页Fire Control & Command Control
基 金:国家自然科学基金(61473115;U1704157);河南省高校科技创新团队资助项目(18IRTSTHN011)
摘 要:针对燃料电池混合动力汽车中燃料电池、电池、超级电容的能量分配问题,提出一种分层能量管理策略。该策略分为上下两层,上层依据燃料电池效率、电池SOC值和需求功率,设计基于规则的控制策略,优化燃料电池的能量输出;下层依据电池和超级电容特性,设计滑动平均滤波算法,使电池平稳输出能量。最后,在UD-DS+HWFET工况下对该策略进行仿真,结果表明,与Advisor自带能量管理策略相比,该策略能更合理地分配能量源的能量输出,燃料电池效率提升0.17%,氢气消耗量减少4.37%。A hierarchical energy management strategy is proposed to focus on the energy distribution problem of fuel cell/battery/super capacitor hybrid power source for fuel cell hybrid electric vehicle. The proposed strategy is divided into two layers. The upper layer designs the energy management strategy based on rules, optimizing the energy output of the fuel cell according to the fuel cell’s work efficiency, the battery’s SOC and the demand power for vehicle. The lower layer designs the energy management strategy based on the moving average filtering algorithm for battery and super capacitor, making battery’s energy output smoothly according to the working characteristics of battery and super capacitor, current and power constraints. Finally, this strategy is simulated and analyzed in UDDS +HWFET condition, the results show that compared with the energy management strategy in Advisor, the proposed strategy can reasonable allocate the energy output among energy sources, improve the working efficiency by 0.17 %, and reduce the hydrogen consumption by 4.37 %.
关 键 词:燃料电池混合动力汽车 分层控制 基于规则 滑动平均滤波
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] U469.72[自动化与计算机技术—控制科学与工程]
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