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首页> 外文会议>Asia and South Pacific Design Automation Conference >Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system
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Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system

机译：增强型太阳能集光器的可重构车载光伏系统的算法加速

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Electric vehicles (EVs) and hybrid electric vehicles (HEVs) are growing in popularity. Onboard photovoltaic (PV) systems have been proposed to overcome the limited all-electric driving range of EVs/HEVs. However, there exist obstacles to the wide adoption of onboard PV systems such as low efficiency, high cost, and low compatibility. To tackle these limitations, we propose to adopt the semiconductor nanomaterial-based luminescent solar concentrator (LSC)-enhanced PV cells into the onboard PV systems. In this paper, we investigate methods of accelerating the reconfiguration algorithm for the LSC-enhanced onboard PV system to reduce computational/energy overhead and capital cost. First, in the system design stage, we group LSC-enhanced PV cells into macrocells and reconfigure the onboard PV system based on macrocells. Second, we simplify the partial shading scenario by assuming an LSC-enhanced PV cell is either lighted or completely shaded (Algorithm 1). Third, we make use of the observation that the conversion efficiency of the charger is high and nearly constant as long as its input voltage exceeds a threshold value (Algorithm 2). We test and evaluate the effectiveness of the proposed two algorithms by comparing with the optimal PV array reconfiguration algorithm and simulating an LSC-enhanced reconfigurable onboard PV system using actually measured solar irradiance traces during vehicle driving. Experiments demonstrate the output power of algorithm 1 in the first scenario is 9.0% lower in average than that of the optimal PV array reconfiguration algorithm. In the second scenario, we observe an average of 1.16X performance improvement of the proposed algorithm 2.
机译：电动汽车（EV）和混合电动汽车（HEV）越来越受欢迎。已经提出了车载光伏（PV）系统来克服EV / HEV的有限的全电动行驶范围。但是，对于车载光伏系统的广泛采用存在效率低，成本高和兼容性低的障碍。为了解决这些局限性，我们建议在车载光伏系统中采用基于半导体纳米材料的发光太阳能集中器（LSC）增强型PV电池。在本文中，我们研究了加速LSC增强型车载光伏系统的重新配置算法的方法，以减少计算/能源开销和资本成本。首先，在系统设计阶段，我们将增强LSC的PV电池分组为宏电池，然后基于宏电池重新配置车载PV系统。其次，我们通过假设LSC增强型PV电池被点亮或完全被阴影化，来简化部分阴影场景（算法1）。第三，我们利用以下观察结果：只要充电器的输入电压超过阈值（算法2），充电器的转换效率就很高并且几乎恒定。通过与最佳PV阵列重新配置算法进行比较，并在车辆行驶过程中使用实际测得的太阳辐照迹线模拟LSC增强的可重新配置车载光伏系统，我们测试和评估了所提出的两种算法的有效性。实验表明，在第一种情况下，算法1的输出功率平均比最佳PV阵列重新配置算法的输出功率平均低9.0％。在第二种情况下，我们观察到所提出算法2的性能平均提高了1.16倍。

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