Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework

被引:39
作者
Li, Huan [1 ]
Zhou, Yang [2 ]
Gualous, Hamid [1 ]
Chaoui, Hicham [3 ]
Boulon, Loic [4 ]
机构
[1] Caen Normandy Univ, F-14032 Caen, France
[2] Univ Technol Belfort Montbeliard, F-90010 Belfort, France
[3] Carleton Univ, Dept Elect, Intelligent Robot & Energy Syst Res Grp, Ottawa, ON K1S 5B6, Canada
[4] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Trois Rivieres, PQ G8Z 4M3, Canada
关键词
Decision making; driving pattern recognition; energy management; fuel cell hybrid electric vehicle (FCHEV); price evolution; prognostics; ENERGY MANAGEMENT; POWER MANAGEMENT; DEGRADATION; CONSUMPTION; SYSTEM;
D O I
10.1109/TII.2020.3003554
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The low economy of fuel cell hybrid electric vehicles is a big challenge to their wide usage. In this article, a road, health, and price-conscious optimal cost minimization strategy based on a decision-making framework was developed to decrease their overall cost. First, an online applicable cost minimization strategy was developed to minimize the overall operating costs of the vehicles, including the hydrogen cost and degradation costs of the fuel cell and battery. Second, a decision-making framework composed of the driving pattern recognition-enabled, prognostics-enabled, and price prediction-enabled decision makings, for the first time, was built to recognize the driving pattern, estimate the health states of power sources, and project future prices of hydrogen and power sources. Based on these estimations, optimal equivalent cost factors were updated to reach the optimal results on the overall cost and charge sustaining of a battery. The effects of driving cycles, degradation states, and pricing scenarios were analyzed.
引用
收藏
页码:2388 / 2399
页数:12
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