Review and modeling on hydrogen fuel cells electric vehicle (HFCEV), in comparison with battery electrical vehicle (BEV) using MATLAB environment. Case study: Postal car

IF 7.1 Q1 ENERGY & FUELS Energy Conversion and Management-X Pub Date : 2024-08-20 DOI:10.1016/j.ecmx.2024.100684
Ghaeth Fandi , Jaroslav Novák , Jan Chyský , Jakub Šrom
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Abstract

This research puts forward the modeling of a Hydrogen Fuel Cell Electric Vehicle (HFCEV) and its validation, in comparison with battery electrical vehicle (BEV) based on a postal vehicle and its subsystems. The main investigation parameters are the amount of hydrogen consumed, and the change in the state of charging of the battery. For the profile of the same speed route, an HFCEV model and a BEV model, consisting of multiple subsystems, were developed, and simulated in the MATLAB® Simulink environment. We make use of various sources of drive cycles to obtain our outcomes such as the New European Diving Cycle (NEDC). By running simulations for different stages, we are able to generate simulation results. The discrepancies in the graphs and the visual demonstrations guided us to variable conclusions on how different factors affect an electric vehicle’s performance and efficiency. The simulation result shows that the (BEV) is 30% more effective for NEDC drive cycle comparing with (HFCEV).

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使用 MATLAB 环境对氢燃料电池电动汽车(HFCEV)进行回顾和建模,并与电池电动汽车(BEV)进行比较。案例研究:邮政车
本研究提出了氢燃料电池电动汽车(HFCEV)的建模及其验证,并与基于邮政车及其子系统的电池电动汽车(BEV)进行了比较。主要研究参数是氢消耗量和电池充电状态的变化。针对同速路线的剖面,我们开发了由多个子系统组成的 HFCEV 模型和 BEV 模型,并在 MATLAB® Simulink 环境中进行了模拟。我们利用各种驱动循环来源来获得结果,例如新欧洲潜水循环(NEDC)。通过运行不同阶段的模拟,我们能够生成模拟结果。图表和直观演示中的差异引导我们得出不同的结论,即不同因素如何影响电动汽车的性能和效率。模拟结果表明,在 NEDC 驱动循环中,(BEV)的效率比(HFCEV)高 30%。
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来源期刊
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
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