Online Energy Management Strategy for a Fuel Cell Hybrid Self Guided Vehicle

被引：0

作者：

BenChikha, Karem ^{[1
]}

Amamou, Ali ^{[2
]}

Kelouwani, Sousso ^{[3
]}

Ben Abdelghani, Afef Bennani ^{[4
]}

Kandidayeni, Mohsen ^{[5
]}

Agbossou, Kodjo ^{[2
]}

机构：

[1] Univ Quebec Trois Rivieres, Dept Elect Engn, Trois Rivieres, PQ, Canada

[2] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Trois Rivieres, PQ, Canada

[3] Univ Quebec Trois Rivieres, Dept Mech Engn, Trois Rivieres, PQ, Canada

[4] Univ Carthage, Dept Elect Engn, Tunis, Tunisia

[5] Univ Sherbrooke, Dept Elect & Comp Engn, Sherbrooke, PQ, Canada

来源：

2022 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2022年

关键词：

hybrid self-guided vehicle; energy management strategy; fuzzy logic controller; system modeling; fuel cell; active power system topology; ELECTRIC VEHICLES;

D O I：

10.1109/VPPC55846.2022.10003405

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：

Energy management strategies (EMSs) adapt new methods to split power ideally among power sources. In this manuscript, an EMS based on a fuzzy logic controller (FLC) is proposed for a fuel cell (FC) hybrid self-guided vehicle (SGV). First, a complete powertrain model of the SGV is developed. Subsequently, a dynamic battery model and a FC semi-empirical model are respectively employed to estimate the battery state of charge (SOC) and FC output voltage. Finally, an EMS is developed using the combination of FLC and online system identification for an active FC-battery power system topology. All models were tested with robotic operating system (ROS). Primary results show preservation of battery SOC at high levels during SGV missions which reduces downtime for recharging, and efficient power distribution between FC and battery.

引用

页数：6

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