Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm

•Summarized the topological structure types of fuel cell hybrid vehicles.•Summarize the optimal parameters in the energy management strategy.•Expounded several objectives of energy management optimization.•Analyzed and summarized the GA optimization effect on EMS.•Prospecting the challenge and direc...

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Vydáno v:Energy conversion and management Ročník 205; s. 112474
Hlavní autoři: Lü, Xueqin, Wu, Yinbo, Lian, Jie, Zhang, Yangyang, Chen, Chao, Wang, Peisong, Meng, Lingzheng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.02.2020
Elsevier Science Ltd
Témata:
Algorithms
Clean energy
data analysis
Electric power systems
Electric vehicles
energy
Energy management
Energy management strategy
Energy utilization
Fuel cell hybrid electric vehicle
Fuel cells
Fuel technology
Genetic algorithm
Genetic algorithms
Heuristic methods
Hybrid electric vehicles
Hybrid power system
Hybrid systems
Optimal control
Optimization
Optimization parameters and objectives
Power efficiency
Strategy
Structural design
Structural engineering
Hybrid power system
Energy management strategy
Fuel cell hybrid electric vehicle
Optimization parameters and objectives
Genetic algorithm
ISSN:0196-8904, 1879-2227
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Shrnutí:•Summarized the topological structure types of fuel cell hybrid vehicles.•Summarize the optimal parameters in the energy management strategy.•Expounded several objectives of energy management optimization.•Analyzed and summarized the GA optimization effect on EMS.•Prospecting the challenge and direction of energy management optimization. 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.
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2020.112474