An optimization technique for the control of a photovoltaic (PV)-fed electric vehicle (EV) solar charging station with a high gain of step-up dc-to-dc converter. An optimization approach is the Namib beetle optimization (NBOA) approach. This approach is used to control the EV solar charging station. Also, the principles of a switched capacitor and a coupled inductor are integrated into the interleaved structure of the NBOA converter to produce low-current, high-efficiency, and high-voltage gain. However, the major contribution is to minimize the total harmonic distortion (THD) and to control the EV solar Charging Station. The bi-directional DC-to-DC converter in an energy-storage-system has the advantages of high efficiency and fast response speed. By then, the NBOA technique is done in MATLAB software, and the performance is evaluated with the existing techniques. The NBOA system has low THD and high efficiency, which is compared with the existing ant-lion optimizer, wild horse optimizer, and salp-swarm algorithm, methods. From the analysis, the NBOA method provides a better outcome than the existing one.

一种用于控制光伏 (PV) 馈电电动汽车 (EV) 太阳能充电站的优化技术，具有高增益升压 DC-DC 转换器。一种优化方法是纳米布甲虫优化（NBOA）方法。这种方法用于控制电动汽车太阳能充电站。此外，开关电容和耦合电感的原理被集成到NBOA转换器的交错结构中，以产生低电流、高效率和高电压增益。然而，主要贡献是最大限度地减少总谐波失真 (THD) 并控制电动汽车太阳能充电站。储能系统中的双向DC-DC变换器具有效率高、响应速度快的优点。至此，NBOA技术在MATLAB软件中完成，并利用现有技术对其性能进行了评估。与现有的蚁狮优化器、野马优化器、樽海鞘算法等方法相比，NBOA系统具有低THD、高效率的特点。从分析来看，NBOA 方法提供了比现有方法更好的结果。