Light field manipulation is an important technology for improving system-level efficiency of optical wireless power transfer (OWPT). In this paper, we propose and compare the Gerchberg-Saxton algorithm, direct binary search and genetic algorithm enabled light field optimization for adapting photovoltaic cells in different geometric arrangements. Under static condition, photoelectric conversion efficiency can reach 33.14% through optimizing light field using Gerchberg-Saxton algorithm, almost 200% improvement over the case with Gaussian beams. Moreover, the resilience of power delivery can be improved by employing direct binary search and genetic algorithm in a dynamic fashion. By utilizing genetic algorithm optimization, initial photoelectric conversion efficiency is 14.11% with the help of random optimization process. The dynamic light field optimization technology will be an enabling technology of high efficient power delivery for mobile objects.

中文翻译：

---

光无线功率传输的光场优化

光场操纵是提高光无线功率传输（OWPT）的系统级效率的一项重要技术。在本文中，我们提出并比较了Gerchberg-Saxton算法，直接二进制搜索和遗传算法使光场最优化，以适应不同几何排列的光伏电池。在静态条件下，通过使用Gerchberg-Saxton算法优化光场，光电转换效率可以达到33.14％，与高斯光束相比提高了近200％。此外，可以通过以动态方式采用直接二进制搜索和遗传算法来提高电力输送的弹性。利用遗传算法优化，借助随机优化过程，初始光电转换效率为14.11％。