Optimal sizing of fuel cell electric vehicle powertrain considering multiple objectives

被引：0

作者：

Zhang, Jianhui ^{[1
]}

Xu, Liangfei ^{[1
]}

Hu, Zunyan ^{[1
]}

Liang, Chen ^{[2
]}

Li, Jianqiu ^{[1
]}

Ouyang, Minggao ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Vehicle & Mobil, State Key Lab Automot Safety & Energy, Beijing, Peoples R China

[2] Beijing Automobile Technol Ctr Co Ltd, Beijing New Energy Vehicle Technol Innovat Ctr Co, Beijing, Peoples R China

来源：

IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2020年

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

fuel cell electric vehicle; Parameter sizing; Fuel economy; Durability; Power components cost; Battery volume; ENERGY MANAGEMENT; OPTIMIZATION;

D O I：

10.1109/iecon43393.2020.9254713

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a multi-objective optimization problem of power components parameters for a pre-defined driving cycle and energy management algorithm regarding fuel economy, system durability, power components cost and battery volume. We eliminate the parameter vectors that can't meet the vehicle power demand. Then applying the algorithm to the model of a fuel cell city bus gives the opportunity to choose the best values for battery capacity Q(bat) and the maximal net output power of the FCS P-fcsmax according to the contour diagram. Simulation results show that for a "New Europe Driving Cycle", a battery capacity of 96 Ah and an FCS maximal net output power of 100 kW are optimal for the fuel economy, system durability, power components cost and battery volume limitation of a fuel cell city bus.

引用

页码：317 / 322

页数：6

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