能源管理
网络拓扑
软件
计算机科学
汽车工程
电动机
工程类
燃料电池
系统工程
能量(信号处理)
电气工程
操作系统
数学
化学工程
程序设计语言
统计
作者
Ioan-Sorin Sorlei,Nicu Bizon,Phatiphat Thounthong,Mihai Varlam,Elena Carcadea,Mihai Culcer,Mariana Iliescu,Mircea Raceanu
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2021-01-05
卷期号:14 (1): 252-252
被引量:262
摘要
With the development of technologies in recent decades and the imposition of international standards to reduce greenhouse gas emissions, car manufacturers have turned their attention to new technologies related to electric/hybrid vehicles and electric fuel cell vehicles. This paper focuses on electric fuel cell vehicles, which optimally combine the fuel cell system with hybrid energy storage systems, represented by batteries and ultracapacitors, to meet the dynamic power demand required by the electric motor and auxiliary systems. This paper compares the latest proposed topologies for fuel cell electric vehicles and reveals the new technologies and DC/DC converters involved to generate up-to-date information for researchers and developers interested in this specialized field. From a software point of view, the latest energy management strategies are analyzed and compared with the reference strategies, taking into account performance indicators such as energy efficiency, hydrogen consumption and degradation of the subsystems involved, which is the main challenge for car developers. The advantages and disadvantages of three types of strategies (rule-based strategies, optimization-based strategies and learning-based strategies) are discussed. Thus, future software developers can focus on new control algorithms in the area of artificial intelligence developed to meet the challenges posed by new technologies for autonomous vehicles.
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