Advanced Power Management and Control for Hybrid Electric Vehicles: A Survey

被引:5
作者
Jiang, Jielin [1 ,2 ]
Jiang, Qinting [1 ]
Chen, Jinhui [1 ]
Zhou, Xiaotong [1 ]
Zhu, Shengkai [1 ]
Chen, Tianyu [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Jiangsu Colloborat Innovat Ctr Atmospher Environm, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
ENERGY-STORAGE SYSTEM; MODEL-PREDICTIVE CONTROL; FUEL-CELL; BATTERY; STRATEGY; OPTIMIZATION; DURABILITY; ECONOMY;
D O I
10.1155/2021/6652038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the trend of low emissions and sustainable development, the demand for hybrid electric vehicles (HEVs) has increased rapidly. By combining a conventional internal combustion engine with one or more electric motors powered by a battery, HEVs have the advantages over traditional vehicles in better fuel economy and lower tailpipe emissions. Nevertheless, the power management strategies (PMSs) for conventional vehicles which mainly focus on the efficiency of internal combustion engine are no longer applicable due to the complex internal structure of HEVs. Hence, a large number of novel strategies appropriate for HEVs have been surveyed, but most of the researches concentrate on discussing the classifications of PMSs and comparing their cons and pros. This paper presents a comprehensive review of power management strategies adopted in HEVs aiming at specific challenges for the first time. The categories of the existing PMSs are presented based on the different algorithms, followed by a brief study of each type including the analysis of its pros and cons. Afterwards, the implementation and optimization of power management strategies aiming at proposed challenges are introduced in detail with the description of their optimization objectives and optimized results. Finally, future directions and open issues of PMSs in HEVs are discussed.
引用
收藏
页数:12
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