集成的MPPT和双向直流直流转换器与减少开关电动汽车应用程序的多级逆变器
K Dhineshkumar1, N Vengadachalam2, Suresh Muthusamy3
1Department of Electrical and Electronics Engineering, KIT - Kalaignar Karunanidhi Institute of Technology (Autonomous), Coimbatore, Tamil Nadu, India.
Scientific reports
|July 11, 2025
概括
本研究介绍了一种高效的光伏驱动电动汽车充电系统,使用一种新型转换器和机器学习来实现最佳的电力提取. 该系统提高了效率,减少了对可持续运输的波扭曲.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 可持续的运输可持续的运输
背景情况:
- 越来越多的环境问题和化石燃料的枯竭需要清洁的可再生能源 (RES).
- 全球越来越多的电动汽车 (EV) 普及,推动了对可持续充电解决方案的需求.
- 现有的光伏 (PV) 电动汽车充电系统在环境适应性和优化功率转换效率方面扎.
研究的目的:
- 开发一个高效的基于光伏的电动汽车充电系统,在不同的条件下最大限度地提取电力.
- 与传统的充电方法相比,提高电力转换效率并减少温室气体排放.
- 为了提高可靠性和减少电动汽车电机和电网供应的功率的总波扭曲 (THD).
主要方法:
- 实现一个单端初级电感转换器 (SEPIC) 集成隔离反转换器 (SIIFC).
- 机器学习辐射基函数神经网络最大功率点跟踪 (ML RBFNN MPPT) 的利用,以获得最佳的光伏电力.
- 使用31级低开关逆变器和电压源逆变器 (VSI) 为电动汽车电机和电网供电,并配备适应性比例积分 (PI) 控制器进行同步.
主要成果:
- 拟议的SIIFC实现了95.4%的效率,而RBFNN MPPT实现了96%的效率.
- 31级逆变器设计显著降低了总波扭曲 (THD) 到2.16%.
- 马特拉布模拟和实验验证证了拟议的基于光伏的电动汽车充电站的有效性.
结论:
- 开发的基于光伏的电动汽车充电系统展示了卓越的效率和性能.
- 集成SIIFC,ML RBFNN MPPT和31级逆变器为电动汽车充电提供了可靠和可持续的解决方案.
- 这项技术有助于减少碳排放,并促进电动汽车的采用.
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