An optimal sizing methodology for Fuel Cell Hybrid Trucks

被引：0

作者：

Alonso Tejeda, Asier ^{[1
]}

Heriz Revuelta, Borja ^{[1
]}

Allende Marcos, Miguel ^{[1
]}

Vicente Makazaga, Iban ^{[1
]}

Prieto Arce, Pablo ^{[1
]}

Perez Rastelli, Joshue ^{[1
]}

机构：

[1] Basque Res & Technol Alliance, Tecnalia Res & Innovat, Donostia San Sebastian 20009, Spain

来源：

2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC | 2023年

关键词：

ELECTRIC VEHICLES; CONTROL STRATEGIES;

D O I：

10.1109/ITSC57777.2023.10422454

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fuel Cell Serial Hybrid heavy-duty trucks are expected to progressively replace diesel trucks due to their negative contribution to climate change. This transition entails adapting the actual fleets to new layouts, which requires an accurate sizing of the new components. Hence, in this paper a digital twin of a fuel cell hybrid truck is developed and a route-dependant process for finding the optimal sizing of the battery and the fuel cell is proposed. Three different optimization algorithms (gradient descent, pattern search and simplex search) are described, studied and their results are comprehensively compared.

引用

页码：298 / 305

页数：8

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