A Comprehensive Review on Classification, Energy Management Strategy, and Control Algorithm for Hybrid Electric Vehicles

被引：65

作者：

Xue, Qicheng ^{[1
]}

Zhang, Xin ^{[1
]}

Teng, Teng ^{[1
]}

Zhang, Jibao ^{[1
]}

Feng, Zhiyuan ^{[1
]}

Lv, Qinyang ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing Key Lab Powertrain New Energy Vehicle, Beijing 100044, Peoples R China

来源：

ENERGIES | 2020年 / 13卷 / 20期

关键词：

hybrid electric vehicles; energy management strategy; algorithm; optimization; classification; MODEL-PREDICTIVE CONTROL; POWER MANAGEMENT; PARALLEL; OPTIMIZATION; DESIGN; SYSTEM; TIME; IMPROVEMENT;

D O I：

10.3390/en13205355

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The energy management strategy (EMS) and control algorithm of a hybrid electric vehicle (HEV) directly determine its energy efficiency, control effect, and system reliability. For a certain configuration of an HEV powertrain, the challenge is to develop an efficient EMS and an appropriate control algorithm to satisfy a variety of development objectives while not reducing vehicle performance. In this research, a comprehensive, multi-level classification for HEVs is introduced in detail from the aspects of the degree of hybridization (DoH), the position of the motor, the components and configurations of the powertrain, and whether or not the HEV is charged by external power. The principle and research status of EMSs for each type of HEV are summarized and reviewed. Additionally, the EMSs and control algorithms of HEVs are compared and analyzed from the perspectives of characteristics, applications, real-time abilities, and historical development. Finally, some discussions about potential directions and challenges for future research on the energy management systems of HEVs are presented. This review is expected to bring contribution to the development of efficient, intelligent, and advanced EMSs for future HEV energy management systems.

引用

页数：30

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