A Review on Energy Management Technology of Hybrid Electric Vehicles

被引：0
作者：
He H. [1 ,2 ]
Meng X. [1 ,2 ]
机构：
[1] National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing
[2] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2022年 / 42卷 / 08期
关键词：
energy management; energy management strategy (EMS); hybrid electric vehicle; machine learning; model predictive control;
D O I：
10.15918/j.tbit1001-0645.2022.161
中图分类号：
学科分类号：
摘要：
Energy management strategy (EMS) is critical to improving the fuel economy, protecting the health status, and reducing the greenhouse gas emissions of hybrid electric vehicles (HEVs). However, due to the complex nonlinear structure of the power system and the real-time requirements of online applications, it is still a challenge task to develop an efficient EMS. Therefore, the evolution of energy management technology was summarized completely in this paper. Firstly, the electro-mechanical coupled systems used widely in HEVs and their topological structures and functional features were surveyed. Secondly, the research progress and development trend of EMS were analyzed synthetically. In addition, the technical advantages and disadvantages of various methods were evaluated based on fundamental technical indicators such as optimality and real-time performance, providing a reference for further engineering applications. Finally, the future research trend of EMS was prospected, hoping to provide a reference for the development of EMS under the intelligent connected environment. © 2022 Beijing Institute of Technology. All rights reserved.
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页码：773 / 783
页数：10
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