Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

被引:14
作者
Moulik, Bedatri [1 ]
Soeffker, Dirk [1 ]
机构
[1] Univ Duisburg Essen, Chair Dynam & Control, D-47057 Duisburg, Germany
关键词
rule-based power management; optimization; hybrid electric vehicles; HYBRID ELECTRIC VEHICLES; ENERGY MANAGEMENT; FUEL-CELL; CONTROL STRATEGY; OPTIMIZATION; BATTERY;
D O I
10.3390/en8099049
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 field of hybrid vehicles has undergone intensive research and development, primarily due to the increasing concern of depleting resources and increasing pollution. In order to investigate further options to optimize the performance of hybrid vehicles with regards to different criteria, such as fuel economy, battery aging, etc., a detailed state-of-the-art review is presented in this contribution. Different power management and optimization techniques are discussed focusing on rule-based power management and multi-objective optimization techniques. The extent of rule-based power management and optimization in solving battery aging issues is investigated along with an implementation in real-time driving scenarios where no pre-defined drive cycle is followed. The goal of this paper is to illustrate the significance and applications of rule-based power management optimization based on previous contributions.
引用
收藏
页码:9049 / 9063
页数:15
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