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首页> 外文期刊>Energy Conversion & Management >Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation
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Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation

机译:考虑电源降低的在线自适应等效消耗最小化策略燃料电池混合动力电动车辆

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摘要

The aim of this paper is to present an on-line adaptive equivalent consumption minimum strategy (AECMS) for fuel cell hybrid electric vehicle powered by fuel cell, battery and supercapacitor. In order to design the AECMS, an equivalent consumption minimum strategy (ECMS) without considering power sources degradation is firstly designed to decrease hydrogen consumption and degradation of power sources, which chooses fuel cell as the main power source to supply steady power, battery as the main energy storage source to buffer energy demand by vehicle and supercapacitor as the peak power supplier. A testbench is built to validate the developed ECMS. By contrastive experimental tests on ECMS, Rule Based Control Strategy (RBCS) and a Hybrid ECMS Operating mode control Strategy (HEOS) through the built test bench, hydrogen consumption of ECMS decreases 2.16% and 1.47% respectively and it also has the smoothest fuel cell current. Along with the degradation of fuel cell and battery, the charge sustenance objective of battery cannot be reached. Therefore, AECMS is finally designed to adjust equivalent factors and fuel cell dynamic current change rate along with the state of health (SOH) of fuel cell and battery, to make sure the charge sustenance of battery and prolong the lifetime of fuel cell. The method that on-line estimates their SOHs and the effects of their degradation on ECMS are also analyzed.
机译:本文的目的是为由燃料电池,电池和超级电容器提供动力的燃料电池混合动力电动车辆的在线自适应等效消费最低策略(AECMS)。为了设计AECMS,不考虑电源降低的等效消费最低策略(ECM),首先设计用于降低电源的氢消耗和降低电源,这选择燃料电池作为主要电源供应稳定的电源,电池主要能量存储源通过车辆和超级电容器缓冲能源需求作为峰值电源供应商。构建测试窗以验证开发的ECM。通过对ECM的对比实验测试,通过内置的测试台,基于规则的控制策略(RBC)和混合ECMS操作模式控制策略(HEOS),ECM的氢消耗量分别降低了2.16%和1.47%,并且还具有最平滑的燃料电池当前的。随着燃料电池和电池的劣化,不能达到电池的电荷寄托目标。因此,AECMS最终旨在调整等效因素和燃料电池动态变化率以及燃料电池和电池的健康状态(SOH),以确保电池的费用并延长燃料电池的寿命。还分析了在线估计其SOH的方法以及它们对ECMS的降解的影响。

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