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用于改善电动汽车电池充电电能质量的增强型CPCV算法。

Enhanced CPCV algorithm for improving power quality in electric vehicle battery charging.

作者信息

Singh Arvind R, Jyothi B, Kumar Boya Anil, Bajaj Mohit, Kumar B Hemanth, Tuka Milkias Berhanu

机构信息

Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hubei Shiyan, 442000, P. R. China.

Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.

出版信息

Sci Rep. 2025 Jul 4;15(1):23896. doi: 10.1038/s41598-025-04116-y.

DOI:10.1038/s41598-025-04116-y
PMID:40615411
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12227574/
Abstract

There are several difficulties to overcome when integrating electric vehicles (EVs) into power distribution networks, especially when it comes to preserving power quality (PQ) because of the harmonic distortion produced throughout battery charging. These issues are not sufficiently addressed by conventional charging algorithms like Constant Current Constant Voltage (CCCV), which frequently leads to higher Total Harmonic Distortion (THD), decreased system efficiency, and generally insufficient performance PQ. The Constant Power Constant Voltage (CPCV) charging algorithm, which is a revolutionary approach to addressing these issues, dynamically modifies the charging power according to the battery's state of charge (SoC). Compared to conventional techniques, this creative technology efficiently controls harmonic emissions and enhances power quality. Three distinct EV models-the Tesla Model 3, the BYD ATTO 3, and the Kia EV3 Long Range-were used in simulations to assess the algorithm's performance. The findings show that the CPCV algorithm works noticeably better than the CCCV method with respect to of lowering harmonic distortion; for the 3rd, 5th, 7th harmonics, THD values were lowered to as low as 0.41%. Furthermore, comparing to the greater loss seen in CCCV (3.85 kWh to 5.89 kWh), the CPCV algorithm also demonstrated significant decreases in energy losses, ranging from 2.72 kWh to 3.51 kWh. Furthermore, the CPCV method boosted efficiency by guaranteeing a power factor that was almost constant throughout all charging conditions. These results demonstrate the CPCV algorithm's efficacy in improving power quality, maximizing energy use, and facilitating the smooth integration of EVs into contemporary distribution systems. In order to meet the increasing demand for EV charging infrastructure and guarantee an additional dependable and sustainable power system, CPCV offers an attractive option by reducing harmonic distortion and increasing general charging efficiency.

摘要

将电动汽车(EV)集成到配电网中存在若干难题需要克服,尤其是在保持电能质量(PQ)方面,因为在电池充电过程中会产生谐波失真。传统的充电算法,如恒流恒压(CCCV),无法充分解决这些问题,这常常导致更高的总谐波失真(THD)、系统效率降低以及总体电能质量性能不足。恒功率恒压(CPCV)充电算法是解决这些问题的一种革命性方法,它根据电池的充电状态(SoC)动态调整充电功率。与传统技术相比,这种创新技术有效地控制了谐波排放并提高了电能质量。在模拟中使用了三种不同的电动汽车模型——特斯拉Model 3、比亚迪元PLUS和起亚EV3长续航版——来评估该算法的性能。研究结果表明,在降低谐波失真方面,CPCV算法的效果明显优于CCCV方法;对于第3、5、7次谐波,THD值降低到了低至0.41%。此外,与CCCV中较高的损耗(3.85千瓦时到5.89千瓦时)相比,CPCV算法的能量损耗也显著降低,范围从2.72千瓦时到3.51千瓦时。此外,CPCV方法通过确保在所有充电条件下功率因数几乎恒定,提高了效率。这些结果证明了CPCV算法在改善电能质量、最大限度地提高能源利用以及促进电动汽车顺利集成到现代配电系统方面具有有效性。为了满足对电动汽车充电基础设施不断增长的需求,并确保电力系统更加可靠和可持续,CPCV通过降低谐波失真和提高总体充电效率提供了一个有吸引力的选择。

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