An optimization approach control of EV solar charging system with step-up DC–DC converter

IF 1.2 4区 工程技术 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Analog Integrated Circuits and Signal Processing Pub Date : 2024-02-28 DOI:10.1007/s10470-024-02253-4
R. J. Venkatesh, R. Priya, P. Hemachandu, Chinthalacheruvu Venkata Krishna Reddy
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Abstract

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.

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电动汽车太阳能充电系统与升压型 DC-DC 转换器的优化控制方法
一种优化技术,用于控制采用高增益升压型直流-直流转换器的光伏(PV)供电电动汽车(EV)太阳能充电站。优化方法是纳米甲虫优化(NBOA)方法。该方法用于控制电动汽车太阳能充电站。此外,开关电容器和耦合电感器的原理被集成到 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,其主要贡献在于最大限度地降低总谐波失真(THD)和控制电动汽车太阳能充电站。储能系统中的双向直流-直流转换器具有效率高、响应速度快等优点。随后,在 MATLAB 软件中完成了 NBOA 技术,并对其性能与现有技术进行了评估。与现有的蚁狮优化器、野马优化器和 salp-swarm 算法相比,NBOA 系统具有低总谐波失真(THD)和高效率的特点。从分析结果来看,NBOA 方法比现有方法效果更好。
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来源期刊
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing 工程技术-工程:电子与电气
CiteScore
0.30
自引率
7.10%
发文量
141
审稿时长
7.3 months
期刊介绍: Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today. A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.
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