Simulation-based Assessment of Fuel Economy Performance in Heavy-Duty Fuel Cell Vehicles

Author:

Sorrentino Marco1,Bevilacqua Giuseppe1,Bove Giovanni1,Pianese Cesare1

Affiliation:

1. Universita di Salerno

Abstract

<div class="section abstract"><div class="htmlview paragraph">This work aims at addressing the challenge of reconciling the surge in road transportation with the need to reduce CO<sub>2</sub> emissions. The research particularly focuses on exploring the potential of fuel cell technology in long-distance road haulage, which is currently a major solution proposed by relevant manufacturers to get zero local emissions and an increased total payload.</div><div class="htmlview paragraph">Specifically, a methodology is applied to enable rapid and accurate identification of techno-economically effective fuel cell hybrid heavy-duty vehicle (FCH<sup>2</sup>DV) configurations. This is possible by performing model-based co-design of FCH<sup>2</sup>DV powertrain and related control strategies. Through the algorithm, it is possible to perform parametric scenario analysis to better understand the prospects of this technology in the decarbonization path of the heavy-duty transportation sector, changing in an easy way all the parameters involved. The tool used is based on the truck longitudinal dynamics model to evaluate the power required at the wheels; furthermore, the tool operates with independent control strategies that automatically adapt to the configuration under investigation. The battery and driving specifications were selected to align with the current market trends.</div><div class="htmlview paragraph">The Hybrid (FCH<sup>2</sup>DV) and plug-in (PFCH<sup>2</sup>DV) vehicle design and management scenarios were then compared, and the results indicated a fuel economy that is consistent with current literature and preliminary on-field/commercial vehicle tests. A parametric cost analysis was accomplished to determine the configuration’s techno-economic feasibility. Particularly, a literature search on the actual cost of electricity and green hydrogen destined to FCH<sup>2</sup>DV supply was carried-out, also relying on projected costs until 2030. The outcomes indicated that adopting battery charge-depleting energy management reduces PFCH<sup>2</sup>DV cost per kilometer and fuel consumption by 8 and 1.9%, respectively, as compared to the full hybrid (i.e., FCH<sup>2</sup>DV), enabling interesting cost abatement if convenient grid-based battery recharging is available.</div></div>

Publisher

SAE International

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3