摘要
提出了一种新粒子群算法与光伏重构系统结合的电能补充构型,以解决纯电动汽车搭载光伏发电系统在动态工况下光伏系统的最大功率点追踪(MPPT)及功率输出不稳定问题,同时通过建立仿真模型分析其功率输出特性,探讨其搭载光伏发电系统的应用方法及功率输出方面的优势.
In this paper,a new particle swarm optimization(PSO)combined with PV reconstruction system is proposed to solve the problem of maximum power point tracking(MPPT)and unstable power output of PV power generation system of pure electric vehicle under dynamic working conditions.Meanwhile,simulation model is established to analyze its power output characteristics.The application method of PV power generation system and the advantages of power output are discussed.
作者
康双宏
张云博
杨培志
KANG Shuanghong;ZHANG Yunbo;YANG Peizhi(School of Energy and Environmental Science,Yunnan Normal University,Kunming 650500,China)
出处
《云南师范大学学报(自然科学版)》
2024年第5期6-10,共5页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金青年基金资助项目(52202312)
云南省基础研究专项面上资助项目(202301AT070076).
关键词
纯电动汽车
光伏阵列发电
光伏重构系统
粒子群算法
Pure electric vehicles
Photovoltaic array power generation
Photovoltaic reconfiguration system
Particle swarm optimization