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首页> 外文期刊>Solar Energy >Experimental verification of the rate of charge improvement using photovoltaic MPPT hardware for the battery and ultracapacitor storage devices
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Experimental verification of the rate of charge improvement using photovoltaic MPPT hardware for the battery and ultracapacitor storage devices

机译:使用光伏MPPT硬件对电池和超级电容器存储设备进行充电速率提高的实验验证

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The paper displays the experimental charging of the battery and the ultracapacitor (LJC) energy storage devices utilizing the Maximum Power Point Tracking (MPPT) and the Non-MPPT strategies with the photovoltaic solar panels. Normally in the standalone frameworks, the batteries are the workforce yet the applications that demand peak currents, the ultracapacitors apart from these batteries can serve better. With high power density UCs, the twofold advantage of battery energy density and ultracapacitor power density is achievable. The batteries and the ultracapacitors are charged as separate energy storage devices utilizing the Non-MPPT charging first and after that by the MPPT charging strategies. A comparison is made between two charging methods for these energy storage devices. The efficiency improvement, the charging rate improvement and the payback period calculations are "performed. 1.2 V Ni-MH batteries, 12 V lead-acid batteries and 12 V, 20 F UCs are tested by above said two methods. Moreover, a test bench is created to perform the simulations in Matlab/Simulink (R). The simulated and experimented results demonstrate the higher level of matching and the overall improvement in the charging rate is quite significant utilizing the MPPT strategies for the batteries and the UCs. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文展示了利用最大功率点跟踪(MPPT)和非MPPT策略以及光伏太阳能电池板对电池和超级电容器(LJC)储能设备进行的实验充电。通常,在独立框架中,电池是劳动力,但需要峰值电流的应用场合,除这些电池以外的超级电容器可以更好地工作。使用高功率密度UC,可以实现电池能量密度和超级电容器功率密度的双重优势。电池和超级电容器首先使用非MPPT充电,然后通过MPPT充电策略作为独立的储能设备充电。对这些能量存储设备的两种充电方法进行了比较。 “执行了效率提高,充电率提高和投资回收期计算。通过上述两种方法对1.2 V Ni-MH电池,12 V铅酸电池和12 V,20 F UC进行了测试。创建用于在Matlab / Simulink(R)中进行仿真的软件,仿真结果和实验结果表明,采用MPPT策略对电池和UC进行匹配时,匹配程度更高,充电速率的整体改善非常显着。 2016 Elsevier Ltd.保留所有权利。

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