An energy management for series hybrid electric vehicle using improved dynamic programming

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Peng, Hao^1 ; Yang, Yaoquan^1 ; Liu, Chunyu^1

Department of Automation, North China Electric Power University, Hebei Providence, Baoding

071000, China^1

关键词: Computing time;    Control rules;    Control strategies;    Energy source;    Hybrid electric vehicle (HEV);    Minimum fuel consumption;    Recovering energy;    Series hybrid electric vehicles;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/5/052077/pdf
DOI  :  10.1088/1755-1315/121/5/052077

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

With the increasing numbers of hybrid electric vehicle (HEV), management for two energy sources, engine and battery, is more and more important to achieve the minimum fuel consumption. This paper introduces several working modes of series hybrid electric vehicle (SHEV) firstly and then describes the mathematical model of main relative components in SHEV. On the foundation of this model, dynamic programming is applied to distribute energy of engine and battery on the platform of matlab and acquires less fuel consumption compared with traditional control strategy. Besides, control rule recovering energy in brake profiles is added into dynamic programming, so shorter computing time is realized by improved dynamic programming and optimization on algorithm.