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دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm
ترجمه فارسی عنوان مقاله:
مدیریت انرژی وسایل نقلیه الکتریکی هیبریدی: مروری بر بهینه سازی انرژی سیستم قدرت هیبریدی سلول سوختی بر اساس الگوریتم ژنتیکی
منبع:
Sciencedirect - Elsevier - Energy Conversion and Management, 205 (2020) 112474. doi:10.1016/j.enconman.2020.112474
نویسنده:
Xueqin Lü⁎, Yinbo Wu, Jie Lian, Yangyang Zhang, Chao Chen, Peisong Wang, Lingzheng Meng
چکیده انگلیسی:
Under the background of current environmental pollution and serious shortage of fossil energy, the development
of electric vehicles driven by clean new energy is the key to solve this problem, especially the hybrid electric
vehicle driven by fuel cell is the most effective solution. Many scholars have found that the output performance
of hybrid system is an important reason to determine the life of fuel cell. Unreasonable output will affect the
control characteristics of the drive system, resulting in a series of serious consequences such as the reduction of
the life of fuel cell hybrid power system. Therefore, the energy management strategy and performance optimization
of hybrid system is the key to ensure the normal operation of the system. At present, many excellent
researchers have carried out relevant research in this field. Genetic algorithm is a heuristic algorithm, which has
better optimization performance. It can easily choose satisfactory solutions according to the optimization objectives,
and make up for these shortcomings by using its own characteristics. These characteristics make genetic
algorithm have outstanding advantages in the iterative optimization of energy management strategy. This paper
analyzes and summarizes the optimization effect of genetic algorithm in various energy management strategies,
aiming to analyze and select the optimization rules and parameters, optimization objects and optimization
objectives. This paper hopes to provide guidance for the optimal control strategy and structural design of the fuel
cell hybrid power system, contribute to the research on improving the energy utilization efficiency of the hybrid
power system and extending the life of the fuel cell, and provide more ideas for the optimization of energy
management in the future.
Keywords: Fuel cell hybrid electric vehicle | Energy management strategy | Hybrid power system | Genetic algorithm |Optimization parameters and objectives
قیمت: رایگان
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