基于太阳能与电池的智能混合能源建模与仿真

Asma Meskani , Ali Haddi
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引用次数: 5

摘要

今天,由于空气中存在化学物质、颗粒物和生物材料,世界遭受空气污染。所有这些因素都对人类健康、环境和经济产生负面影响。汽车尾气被认为是空气污染的主要来源。交通运输是全球空气污染的主要来源之一。汽车污染有两种形式,温室气体的排放(对环境的全球影响,全球变暖)和颗粒物的排放(局部影响,空气质量恶化)。为了解决这个问题,解决的办法是鼓励发展混合动力汽车。本文将介绍一种新的混合式发电机拓扑结构,该拓扑结构采用光伏能量转换系统,采用带DC / DC变换器的电池代替燃料电池,以解决燃料电池耗能高、能源成本高的问题。这项工作的另一个贡献在于模糊逻辑的使用;实际上是利用模糊逻辑系统作为自主控制装置。模糊逻辑主要用于自适应控制参数,以提高系统的整体鲁棒性,同时保持系统的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Simulation of an Intelligent Hybrid Energy Source based on Solar Energy and Battery

Today, the world suffer from air pollution due to the presence of chemicals, particulate matters and biological materials in the air. All these elements have negative impacts on human health, environment and economy. Vehicle emissions are considered a major source of air pollution. Transportation is one of the main sources of air pollution around the world. Vehicle pollution takes two forms, the emission of greenhouse gases (global impact on the environment, global warming) and particulate emissions (local impact, deterioration of air quality). In order to tackle this problem, the solution is to encourage the development of hybrid vehicles.

This paper will shed light on a new hybrid generator topology, equipped with a photovoltaic energy conversion system, a battery with its DC / DC converter is adopted to replace the fuel cells in order to solve the problems which are: high consumption with a high cost in terms of energy. Another contribution of this work consists in the use of fuzzy logic; indeed the use of the fuzzy logic system which is used as an autonomous control device. Fuzzy logic has been used primarily to adapt control parameters in order to improve the overall robustness of the system while maintaining its stability.

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