Browse Topic: Fuel cell vehicles

Items (603)
While hydrogen is a clean and renewable energy source for fuel cell vehicles, its production involves various costly methods, with steam reforming being the current popular yet environmentally detrimental technique. An alternative approach involves the use of electrochemical devices such as proton exchange membrane water electrolyzers (PEMWE), capable of producing pure hydrogen through renewable energies. Nevertheless, these devices face challenges in improving their performance, with the most challenging aspect found in PEMWE being the anode, where the oxygen evolution reaction (OER) occurs. This poses a bottleneck issue because the generated oxygen does not exist solely in dissolved form but also as a gas. The released oxygen gas tends to combine with water vapor, forming bubbles that obstruct the reaction sites. Therefore, this study aims to enhance PEMWE performance by developing an advanced two-dimensional porous electrode model considering heat and mass transport as well as
Orncompa, PeerapatPassakornjaras, PhonlakritCharoen-amornkitt, PatcharawatAlizadeh, MehrzadSuzuki, TakahiroTsushima, Shohji
As the automotive sector shifts towards cleaner and more sustainable technologies, fuel cells and batteries have emerged as promising technologies with revolutionary potential. Hydrogen fuel cell vehicles offer faster refueling times, extended driving ranges, and reduced weight and space requirements compared to battery electric vehicles, making them highly appealing for future transportation applications. Despite these advantages, optimizing electrode structures and balancing various transport mechanisms are crucial for improving PEFCs’ performance for widespread commercial viability. Previous research has utilized topology optimization (TO) to identify optimal electrode structures and attempted to establish a connection between entropy generation and topographically optimized structures, aiming to strengthen TO numerical findings with a robust theoretical basis. However, existing studies have often neglected the coupling of transport phenomena. Typically, it is assumed that a single
Tep, Rotanak Visal SokLong, MenglyAlizadeh, MehrzadCharoen-amornkitt, PatcharawatSuzuki, TakahiroTsushima, Shohji
Fuel cell vehicles (FCVs) offer a promising solution for achieving environmentally friendly transportation and improving fuel economy. The energy management strategy (EMS), as a critical technology for FCVs, faces significant challenges of achieving a balanced coordination among the fuel economy, power battery life, and durability of fuel cell across diverse environments. To address these challenges, a learning-based EMS for fuel cell city buses considering power source degradation is proposed. First, a fuel cell degradation model and a power battery aging model from the literature are presented. Then, based on the deep Q-network (DQN), four factors are incorporated into the reward function, including comprehensive hydrogen consumption, fuel cell performance degradation, power battery life degradation, and battery state of charge deviation. The simulation results show that compared to the dynamic programming–based EMS (DP-EMS), the proposed EMS improves the fuel cell durability while
Song, DafengYan, JinxingZeng, XiaohuaZhang, Yunhe
In addition to electric vehicles (EVs), hydrogen fuel cell systems are gaining attention as energy-efficient propulsion options. However, designing fuel cell vehicles presents unique challenges, particularly in terms of storage systems for heavy hydrogen tanks. These challenges impact factors such as NVH (noise, vibration, and harshness) and safety performance. This study presents a topology optimization study for Hydrogen Energy Storage System (HESS) tank structure in Class 5 trucks, with a focus on enhancing the modal frequencies. The study considers a specific truck configuration with a HESS structure located behind the crew cab, consisting of two horizontally stacked hydrogen tanks and two tanks attached on both sides of the frame. The optimization process aimed to meet the modal targets of this hydrogen tank structure in the fore-aft (X) and lateral (Y) directions, while considering other load cases such as a simplified representation of GST (global static torsion), simplified
Yoo, Dong YeonChavare, SudeepViswanathan, SankarMouyianis, Adam
The deployment of PEM fuel cell systems is becoming an increasingly pivotal aspect of the electrification of the transport sector, particularly in the context of heavy-duty vehicles. One of the principal constraints to market penetration is durability of the fuel cell which hardly meets the expected targets set by the vehicle manufacturers and regulatory bodies. Over the years, researchers and companies have faced the challenge of developing reliable diagnostic and condition monitoring tools to prevent early degradation and efficiency losses of fuel cell stack. The diagnostic tools for fuel cell rely usually on model-based, data driven and hybrid approaches. Most of these are mainly developed for stationary and offline applications, with a lack of suitable methods for real-time and vehicle applications. The work presented is divided into two parts: the first part explores the main degradation conditions for a PEMFC and characteristics, advantages, and application limits of the main
Di Napoli, LucaMazzeo, Francesco
Polymer Electrolyte Membrane Fuel Cells (PEMFCs) recently received a relevant interest as an electric power generation technology in Fuel Cells Electric Vehicles (FCEVs) to decarbonize hard-to-abate sectors as a complement to Battery Electric Vehicles (BEVs). However, the massive requirements of power and durability indicate the urgent need to develop higher-than-ever power density designs with minimum internal gradients to mitigate degradation, discarding sub-optimal designs since the early design stage. Starting from the outcomes of a first study, confirming that for industry-relevant PEMFCs the parallel channel flow field was the only archetype able to minimize jointly pressure losses and limiting super-saturation at high current density, still several degrees of freedom exist for the cell designer. In this study, the research of the optimal PEMFC design is fine-tuned using a CAE-guided design process. Candidate solutions are explored using an optimization software and solving for
Rossi, EdoardoCroci, FedericoMartoccia, LorenzoCicalese, GiuseppeD'Adamo, Alessandro
With the growing energy crisis, people urgently need green energy sources to replace fossil ones. As a zero-emission clean energy source, the proton-exchange membrane fuel cell (PEMFC) has received growing attention from researchers due to its broad practical application. However, the large-scale application of PEMFC is currently impeded by their unsatisfying power output and high cost. PEMFC is composed of multiple components, among which the catalyst layer significantly affects the output power and cost of PEMFC. Drastically reducing the amount of platinum in the catalyst layer can bring great benefits to PEMFC, yet causing the large voltage loss associated with enlarged local oxygen molecule transport. Cutting down the platinum content in the catalyst layer can yield substantial cost savings for PEMFC. Developing an efficient catalyst possessing enhanced oxygen reduction reaction (ORR) catalytic performance is conducive to the commercialization of low-Pt proton exchange membrane
Liu, YuchenLiu, XinCai, XinDu, AiminLin, Rui
The accurate extraction of internal operating parameters associated with multi-physicochemical processes forms the basis for precise modelling of solid oxide fuel cells (SOFCs), which serves as the foundation for predicting performance degradation and estimating the lifespan of SOFCs. In this work, a novel integration of the teaching-learning based optimization (TLBO) and collective intelligence (CI), referred as the teaching-learning based collective intelligence algorithm (TLBCI), is introduced. This algorithm utilizes diverse characteristic patterns, including current-voltage (I-V) curves and sequential output data, to enhance the overall identification of degradation process. Experimental data was gathered from a 3-cell SOFC short stack during a 640-hour durability test. The proposed parameter identification algorithm employs a collective intelligence framework, wherein sub-optimizers are based on genetic algorithm (GA) and individually tasked with processing specific formats of
Wang, ZheyuShen, YitaoSun, AoTongHan, BeibeiMa, XiaoShuai, Shijin
Due to advantages such as high efficiency, low emissions, and fuel flexibility, solid oxide fuel cells (SOFCs) have garnered significant attention as promising power sources for automotive applications. Nickel/yttria-stabilized zirconia (Ni/YSZ) is one of the most widely used anode materials in SOFCs, as it can catalyze both chemical and electrochemical reactions of carbon-containing fuels. However, the direct use of carbon-containing fuels can lead to carbon deposition on the Ni/YSZ anode, negatively impacting the performance and reliability of automotive SOFC systems. The diffusion of carbon atoms within nickel plays a crucial role in the carbon deposition process and requires further investigation. The oxygen atoms that spillover from YSZ also participate in main reactions such as carbon deposition and electrochemical reactions in Ni. Molecular dynamics (MD) is one of the main methods for studying atomic diffusion in crystalline structures. In this study, reactive force field
Du, HaoyuZhang, KaiqiXiao, MaZhang, XiaoqingShuai, Shijin
This study evaluates the performance of alternative powertrains for Class 8 heavy-duty trucks under various real-world driving conditions, cargo loads, and operating ranges. Energy consumption, greenhouse gas emissions, and the Levelized Cost of Driving (LCOD) were assessed for different powertrain technologies in 2024, 2035, and 2050, considering anticipated technological advancements. The analysis employed simulation models that accurately reflect vehicle dynamics, powertrain components, and energy storage systems, leveraging real-world driving data. An integrated simulation workflow was implemented using Argonne National Laboratory's POLARIS, SVTrip, Autonomie, and TechScape software. Additionally, a sensitivity analysis was performed to assess how fluctuations in energy and fuel costs impact the cost-effectiveness of various powertrain options. By 2035, battery electric trucks (BEVs) demonstrate strong cost competitiveness in the 0-250 mile and 250-500 mile ranges, especially when
Mansour, CharbelBou Gebrael, JulienKancharla, AmarendraFreyermuth, VincentIslam, Ehsan SabriVijayagopal, RamSahin, OlcayZuniga, NataliaNieto Prada, DanielaAlhajjar, MichelRousseau, AymericBorhan, HoseinaliEl Ganaoui-Mourlan, Ouafae
Diverse solutions will likely be needed to decarbonize the commercial truck sector in the United States. Battery-powered vehicles play a predominant role but in some cases, fuel cell trucks are more advantageous for the consumer. This study examines several medium- and heavy-duty applications designed for different driving range requirements to identify the design space where battery and fuel cell trucks are attractive. Also considered are the impacts of purchase price, fuel cost, and vehicle usage. We examine the top 10 truck classes as well as bus applications based on vehicle population, fuel usage, and driving distances. We assume a 2030 scenario where both batteries and FC systems become less costly and more efficient, as targeted by the U.S. Department of Energy. Even for smaller-class vehicles, where battery electric vehicles are expected to be the most economical among clean vehicle solutions, the results are not straightforward. Based on vehicle design, usage, and external
Vijayagopal, RamBirky, Alicia
The transportation sector is responsible for a significant portion of greenhouse gas emissions. Within the sector, truck freight is responsible for a third of the associated emissions. Alternative powertrains are seen as a viable approach to significantly reduce these emissions. Prior to making a large-scale transition, it is important to consider the following questions: will the power grid support a transition to alternative powertrains?; will the transition truly reduce carbon emissions?; and will the transition impose an unnecessary economic burden on companies within the industry? The answer to these questions, however, can vary by geography, maturity/capacity of the energy distribution network or predicted vehicle load. We focus on the latter two questions, investigating the variation in estimated total cost of ownership and carbon emissions across the United States at the zip code level for both heavy-duty battery electric vehicles and heavy-duty fuel cell electric vehicles. As
Goulet, NathanSun, RuixiaoFan, JunchuanSujan, VivekMiller, Brandon
The depletion of fossil fuels and the emergence of global warming propel public sectors to explore alternative energy such as renewable electricity and hydrogen to reduce greenhouse gas (GHG) emissions. Numerous studies have demonstrated substantial environmental benefits of electric light-duty vehicles. However, research focusing on heavy-duty vehicles is still relatively scarce, and the transition to zero emissions heavy-duty trucks is facing enormous technical and economic challenges. This work investigated GHG emissions during the manufacturing and assembly phase of heavy-duty vehicles (HDVs), including battery electric trucks (BETs) and gaseous hydrogen fuel cell electric trucks (FCETs) using SimaPro software package with wildly accepted Ecoinvent database based on UK grid mix scenarios. A comparative analysis of greenhouse gas (GHG) emissions during the production phase of 700 bar- and 350 bar-H2 FCETs and their battery electric counterparts (eqBETs) was conducted under two UK
Zhao, JianboLi, HuBabaie, MeisamLi, Kang
This paper aims to model and simulate a design specification for a fuel cell electric powertrain tailored for Extreme H motorsport applications. A comprehensive numerical model of the powertrain was constructed using GT-SUITE v2024, integrating the 2025 Extreme H regulations, which include specifications for the fuel cell stack, electric motors, hydrogen storage, and battery systems. A detailed drive cycle representing the real-world driving patterns of Extreme E vehicles was developed, utilizing kinematic parameters derived from literature and real-world data. The performance of the Extreme H powertrain was benchmarked against the Toyota Mirai fuel cell vehicle to validate the simulation accuracy under the same racing conditions. The proposed design delivers a maximum power output of 400 kW, with 75 kW supplied by the fuel cell and 325 kW by the battery, ensuring optimal performance within the constraints set by the Extreme H 2025 regulations. Additionally, the design maintains an
Moreno Medina, JavierSamuel, Stephen
Since the 1860 Hippomobile, hydrogen has been a part of powered mobility. Today, most hydrogen storage applications use cylindrical tanks, but other solutions are available. At a recent Bosch-sponsored event, SAE Media noted Linamar's Flexform conformable storage, which the company says uses the same or less material for a given storage volume while delivering anywhere from 5-25% more volumetric efficiency than conventional cylindrical tanks within that volume. “We see space as a regular bounding box where all you're losing is this area around the corners, closer to five to 10% [loss]. Where Flexform really shines and where the value proposition really is, is irregular spaces, such as between frame rails,” said representatives from the Linamar engineering team.
Cannell, Thom
Considered as one of the most promising technology pathways for the transport sector to realize the target of “carbon neutral,” fuel cell vehicles have been seriously discussed in terms of its potential for alleviating environmental burden. Focused on cradle-to-gate (CtG) stage, this article evaluates the environmental impacts of fuel cell heavy-duty vehicles of three size classes and three driving ranges to find the critical components and manufacturing processes in the energy context of China. The findings show that the greenhouse gas (GHG) emissions of the investigated fuel cell heavy-duty vehicle range from 47 ton CO2-eq to 162 ton CO2-eq, with the fuel cell system and hydrogen storage system collectively contributing to 37%–56% of the total. Notably, as the driving range increases, the proportion of GHG emissions stemming from fuel cell-related components also rises. Within the fuel cell system, the catalyst layer and bipolar plate are identified as the components with the most
Mu, ZhexuanDeng, YunFengBai, FanlongZhao, FuquanLiu, ZongweiHao, HanLiu, Ming
The durability of fuel cell vehicle (FCV) has always been one of the key factors affecting its large-scale application. However, the durability test methods of FCV and its key components, fuel cell stack (FCS), are incomplete all over the world, especially the lack of vibration test method on FCV. Focused on the FCS, this paper collects the road load spectrum of different vehicle models in their typical working conditions, so as to obtain the power spectral density of FCS of different vehicle models, which is used as the input signal of durability test. Through the FCS testing and analysis of fuel cell passenger car, bus, tractor and cargo van, the results show that the vibration intensity in three directions of FCS of different models is basically less than that of power battery, and only the FCS of fuel cell bus is greater than that of power battery in the direction of vehicle travel.
Wang, GuozhuoWu, ZhenGuo, TingWu, ShiyuLiang, RongliangNie, Zhenyu
The thermal management system of fuel cells poses considerable challenges, particularly due to large time delays and nonlinear behaviors that complicate effective temperature control of the stack. In response to these challenges, this study introduces a novel fuel cell inlet temperature feedback control method based on the internal model principle, designed to enhance control accuracy. Simulations were conducted using MATLAB/Simulink® to evaluate the performance of both Proportional-Integral (PI) and internal model controllers through various tests, including step response and random condition assessments. The results demonstrated that the proposed internal model controller significantly outperformed traditional PID control in both static and dynamic scenarios. Specifically, during step response testing, the maximum temperature overshoot was minimized to just 1.5°C, with a steady-state error of less than 0.5°C. In dynamic performance testing, the inlet temperature exhibited a rapid
Liu, Shiguang
Currently, the application scope of fuel cell vehicles is gradually expanding. There is currently no durability testing method for the entire vehicle level in its research and development design process. In this article, a certain fuel cell passenger car is taken as the research object. The load spectrum data of its key components is collected. A ‘user goal test field’ multi-channel multi-dimensional load correlation optimization model is established. The goal is to minimize the difference in pseudo damage of special components such as the fuel cell vehicle stack structure under the user’s full life cycle target load and the test field test load. The characteristics of the multi-dimensional load of the fuel cell components corresponding to the optimized solution in the rainflow distribution and frequency domain distribution are calculated. And a durability reliability acceleration testing specification for fuel cell vehicle test fields for special components such as the stack structure
Wu, ShiyuGuo, TingWang, YupengWu, ZhenWang, Guozhuo
Electrochemical impedance spectroscopy (EIS) is often used for fault diagnosis as an important parameter to characterize the state of fuel cells. However, online diagnosis requires high real-time performance and usually can only measure single-frequency or dual-frequency impedance. Too few diagnostic features make it difficult for traditional fault diagnosis methods based on EIS to ensure high accuracy. Therefore, this paper proposes a fault diagnosis method based on fast EIS measurement and an optimized random forest algorithm. Firstly, using a multi-sine excitation signal to realize the simultaneous measurement of multi-frequency impedance, provides more health status information in a single measurement. To solve the problem of large signal peaks caused by the superimposed signals, the phase is optimized by the genetic algorithm, which reduces the crest factor of the excitation signal. Then, multi-frequency impedance is used as a training feature for the random forest (RF) algorithm
Ni, ShengqiZhang, CunmanZhu, YuanZhong, Xiaolong
An effective vehicle integrated thermal management system (ITMS) is critical for the safe and efficient operation of proton exchange membrane fuel cell (PEMFC) vehicles. This paper takes a fuel cell vehicle (FCV) as the research object, comprehensively considers the vehicle layout environment and thermal management requirements, and designs a complete thermal management system for FCV. The key components are selected and designed to match the performance and the control strategy of ITMS of fuel cell vehicle is developed. To do that, the ITMS model is established based on the heating principle and heat transfer theory of each key component. Then, the ITMS under Worldwide Harmonized Light Vehicles Test Cycle (WLTC) operating conditions at different ambient temperatures are simulated and analyzed by selecting indicators such as coolant flow rate and temperature. Under the ambient temperature of 40°C, the temperature of PEMFC is basically stable between 78 °C and 83°C, the coolant outlet
Jiang, QiXiong, ShushengWang, YupengZhu, ShaopengChen, Huipeng
In order to give full play to the economic and environmental advantages of liquid organic hydrogen carrier(LOHC) technology in hydrogen storage and transportation as well as its technological advantages as a hydrogen source for hydrogen refueling station(HRS) supply, it promotes the change of hydrogen supply method in HRSs and facilitates its technological landing in the terminal of HRSs. In this paper, combining the current commercialization status of organic liquid technology and the current construction status of HRS in China, we establish a traditional long-tube trailer HRS model through Matlab Simulink, carry out modification on the existing process, maximize the use of the original equipment, and introduce the hydrogen production end of the station with organic liquid as an auxiliary hydrogen source. Research and design of the two hydrogen sources of gas extraction strategy and the station control strategy and the formation of Stateflow language model, to realize the verification
Huo, TianqingFeng, TianyuYang, FushengHuang, YeZheng, HuaanWang, BinFang, TaoWu, ZhenZhang, ZaoXiao
The selection of the key components of proton exchange membrane fuel cell (PEMFC) crucially impacts the performance. This work developed a model of the fuel cell system model to simulate the power consumption of component and system and the temperature dynamic response of stack in real systems. A PEMFC simulation model was developed based on AMESim, encompassing the air supply subsystem, hydrogen supply subsystem, and the hydrothermal management subsystem. The parameters for the flow and pressure of hydrogen, air, and water were established based on the operational requirements to ensure efficient stack performance. Furthermore, a PID control model was employed to regulate the flow and pressure parameters of hydrogen, air, and water, in accordance with the operational requirements, to ensure optimal PEMFC system performance.The purpose of this study is to predict the power consumption of the key components and the overall system, as well as to analyze the compliance with fuel supply
Yu, PeiwenWang, YanboZhao, XiaojunPan, FengwenShi, BaofanYang, FengQiao, XingnianShan, FengxiangCheng, XiaoxianZhang, YaranZhang, ChunSun, YulingGao, YongFeng, Gang
State of health (SOH) estimation is essential to ensure safety and reliability in the operation of Proton Exchange Membrane Fuel Cells (PEMFCs). The aging of fuel cells results from the deterioration of multiple internal components, and the aging degree of some key components even directly determines the end of cell life. Due to the complexity of the internal reactions in fuel cell, many internal parameters cannot be measured or recorded during aging tests. In addition, external characteristics do not reflect the internal changes in the cell. Therefore, establishing a multi-scale metric based on fuel cell components is very important for fuel cell life research. During the aging process of a fuel cell, the contributions of different components to the overall aging vary significantly. Additionally, the allocation of indicator parameters presents a challenge in multi-scale modeling. To address these issues, this paper proposes a method to construct multi-scale indicators for fuel cells
Lin, YipengMin, HaitaoSheng, XiaZhang, ZhaopuSun, Weiyi
Energy management strategy (EMS) based on vehicle speed prediction has been widely used in fuel cell vehicles (FCVs). Actually, not only the actual power demand but also other factors affect the optimal power allocation between fuel cell system (FCS) and battery. However, this relationship is difficult to express in formulas especially under urban conditions because the power demand fluctuates greatly under the above conditions. To address the issue, a novel EMS for FCV based on short-term power demand and FCS output power is proposed. In the offline part, the short-term SOC change rate is used to characterize short-term power allocation. Besides, the average of short-term power demand and the FCS output power are selected as input factors. The feedforward neural network is used to learn the relationship of the above three state variables based on historical driving cycles. In the online part, a long short-term memory (LSTM) network is used to predict the short-term speed based on the
Wu, HuiduoMin, HaitaoZhao, HonghuiSun, Weiyi
This paper addresses a series of issues in the thermal management system of proton exchange membrane fuel cells (PEMFC) during power fluctuations, such as slow system response, insufficient stability, significant temperature fluctuations, and the complexity of coupled control between coolant flow and air flow. A solution is proposed by designing separate Linear Active Disturbance Rejection Controllers (LADRC) for the coolant flow and air flow control loops. A one-dimensional model of the PEMFC thermal management system was established on the LMS AMESIM simulation platform, combined with a hydrogen fuel cell vehicle model and a driver model, fully considering various influencing factors such as vehicle power fluctuations and driver demands. Subsequently, the LADRC control algorithm was developed on the Matlab-Simulink platform, and a co-simulation analysis was performed to compare the control effects of PID control and LADRC under both custom operating conditions and the New European
Zhu, ShaopengMei, JingYang, LangZong, YajingLiu, YunmeiZhang, BoChen, Huipeng
A 20-cell self-humidifying fuel cell stack containing two types of MEAs was assembled and aged by a 1000-hour durability test. To rapidly and effectively analyze the primary degradation, the polarization change curve is introduced. As the different failure modes have a unique spectrum in the polarization change curve, it can be regarded as the fingerprint of a special degradation mode for repaid analysis. By means of this method, the main failure mode of two-type MEAs was clearly distinguished: one was attributed to the pinhole formation at the hydrogen outlet, and another was caused by catalyst degradation only, as verified by infrared imaging. The two distinct degradation phases were also classified: (i)conditioning phase, featuring with high decay rate, caused by repaid ECSA change from particle size growth of catalyst. (ii) performance phase with minor voltage loss at long test duration, but with RH cycling behind, as in MEA1. Then, an effective H2-pumping recovery is conducted
Pan, ChenbingWu, HailongRuyi, Wang
This paper presents a strategy to reduce exhaust noise in fuel cell vehicles. It focuses on optimizing the exhaust system. The innovation is an integrated muffler device. It combines a vapor separator and an absorptive-reactive muffler. The vapor separator removes moisture from exhaust gases. This prevents damage to sound-absorbing materials. It keeps mufflers functional for longer. Fuel cell vehicles produce noise across a wide frequency range. This makes noise reduction challenging. The absorptive-reactive muffler improves noise attenuation. It works across the full frequency spectrum. The combination of the separator and muffler enhances noise reduction. Simulations show high transmission loss. They also confirm acceptable back pressure. Real-vehicle testing supports these results. The optimized system reduces idle noise by 22.1 dB(A). This is a 32.4% reduction. Blowdown noise is reduced by 46.3 dB(A), or 40.1%. Full-throttle noise drops by over 20 dB(A), a 17.2% decrease. The
Zhou, JiawangJiang, XiaokunQiu, YongjinChen, JiyuanFeng, PengfeiXie, QiguangXie, XiaopingTan, Ligang
Metal bipolar plates are important components of fuel cells, playing a role in conducting electricity, gas, and heat during the operation of fuel cells. The sealing and joint quality of the bipolar plates have a significant impact on the performance and service life of fuel cell stacks. In actual production, laser technology is often used for welding bipolar plates, and the welding quality is ensured by laser process parameters when using the same equipment. Therefore, in order to further optimize the laser welding process of metal bipolar plates, this paper selects three laser parameters for single-factor analysis to evaluate the impact of each parameter on laser welding quality. The Box-Behnken design-response surface method is used for multi-factor analysis, with process parameters as inputs and weld quality parameters as outputs, to assess the sensitivity of each laser process parameter to laser welding quality, and to fit a nonlinear function. Based on the results, the optimal
Li, WeiChang, GuofengXu, HuashengHuang, Ziheng
The degradation of vehicle performance resulting from powertrain degradation throughout the lifecycle of alternative energy vehicles (AEVs) has consistently been a focal issue among scholars and consumers. The purpose of this paper is to utilize a one-dimensional vehicle simulation model to analyze the changes in power performance and economy of fuel cell vehicles as the Proton Exchange Membrane Fuel Cell (PEMFC) stack degrades. In this study, a simulation model was developed based on the design parameters and vehicle architecture of a 45kW fuel cell vehicle. The 1D model was validated for accuracy using experimental data. The results indicate that as the stack performance degrades, the attenuation rate of the fuel cell engine is further amplified, with a degradation of up to 13.6% in the system's peak output power at the End of Life (EOL) state after 5000 hours. Furthermore, the level of economic performance degradation of the complete vehicle in the EOL state is dependent on the
Li, YouDu, JingGuo, DonglaiWang, KaiWang, Yupeng
Hydrogen fuel cell vehicles are seen as an ideal solution to the issues of energy security and environmental pollution. There is a great need for a comprehensive understanding of the ecological impacts associated with fuel cells throughout their entire life cycle, from fuel extraction through manufacturing, operation, and ultimately to the disposal stage. This paper reviews the progress of research on measuring the emissions of hydrogen fuel cells and focuses on the carbon footprint throughout the fuel cell’s life cycle. The study defines the boundary conditions of the fuel cell system using the PLAC (Process-based life cycle assessment) method, analyzes the proportion of each material in the system, and divides its life cycle into six stages: raw material preparation, manufacturing and assembly, transportation and logistics, utilization, maintenance and repair, and scrap and recycling. This study uses the GREET analysis software to introduce a carbon footprint analysis model for a
Zhang, RuojingZhu, HaominZhou, XiangyangPan, Xiangmin
Methanol, with its abundant production, mature synthesis process, well-established storage and transportation infrastructure, and no need to return the dehydrogenated product, is considered to be an ideal hydrogen carrier, is expected to play a great role in the energy transition of the transportation sector and the construction of a hydrogen transportation system. This paper focuses on the hydrogen energy supply system using methanol as a carrier, briefly introduces the basics of methanol production and transportation, and then focuses on the different routes of using methanol in hydrogen transportation infrastructure and vehicles from the perspectives of technology, economy, safety, and commercialization process. Finally, the impacts of the different routes of introducing methanol on hydrogen transportation are compared and analyzed, and the role of methanol in the energy supply of hydrogen transportation is elaborated.
Zhao, XinlongHuo, TianqingHuang, YeZheng, HuaanShi, TongqiangZhang, XuYang, FushengWu, ZhenZhang, Zaoxiao
This study introduces the Total Cost of Ownership per Unit Operating Time (TCOP) as a novel indicator to assess the economic impact of vehicle durability. A comprehensive analysis is conducted for fuel cell vehicles (FCVs), battery electric vehicles (BEVs), and internal combustion engine vehicles (ICEVs) in light- and heavy-duty scenarios. The results show that in HDVs, the advantages of low prices for hydrogen and electricity are fully demonstrated due to their high durability. In contrast, for LDVs, the purchase cost plays a much larger role, accounting for 68% of the total cost, indicating a significant difference between vehicles. Improving durability can significantly enhance the competitiveness of FCVs. For FCVs, increasing the durability from the current levels of 150,000 km for LDVs and 600,000 km for HDVs to 20,8500 km and 1,122,000 km, respectively, would align their TCOP with that of current ICEVs. A sensitivity analysis shows that for HDVs. The focus should be placed on
Qin, ZhikunYin, YanZhang, FanYao, JunqiGuo, TingWang, Bowen
The advancement of clean energy technology has resulted in the emergence of fuel cells as an efficient and environmentally friendly energy conversion device with a diverse range of potential applications, including those in the fields of transportation and power generation. Among the challenges facing fuel cell technology, thermal management represents a significant technical hurdle. The advancement of innovative thermal management methods and system design is imperative to address issues such as high waste heat. In light of the above, this paper presents a methodology for the application of fuel cell thermal management predictive control algorithms in engineering, with a particular focus on fuel cell engine systems that have been implemented in fuel cell cars. This paper proposes a thermal management control method based on a model predictive control algorithm for proton exchange membrane fuel cell systems. The objective of the methodology is to predict and adjust the thermal
Yu, ZhiyangDing, TianweiHuang, XingWang, YupengChen, Guodong
The different energy policies and legislations across the globe, unions, or country wise are the key influencer for evaluation of Transport Industry in both advancement of Technologies and Ecosystem development. Accordingly, European Climate law is focusing to achieve net zero greenhouse (or carbon neutral) gas emissions for EU (European Union) countries by 2050. Similarly in India, National Green Hydrogen Mission (NGHM) by Ministry of New and Renewable Energy (MNRE) is aiming for significant decarbonization and to become market leader in Green Hydrogen Transition. Hydrogen is potential fuel for H2-FCEV (Hydrogen Fuel Cell Electric vehicle) and H2-ICE (Hydrogen -Internal combustion Engine) due to its carbon free molecule and other properties. This review paper is focusing on comprehensive study of different aspects of H2- ICE vehicle. Key study areas are mainly Hydrogen (H2) as fuel, Hydrogen Storage System (HSS), H2-ICEs, Hydrogen storge pressure and H2-ICE vehicle architecture. The
Biswas, SanjoyNaik, Amit KumarKashyap, Krishna
In recent years, fuel cell electric vehicles (FCEV) have become a promising alternative to battery electric vehicles in medium- and heavy-duty on-road applications, which specifically require long vehicle range, high payload capacity, and fast refueling times. While FCEVs are more likely to meet these requirements, they come with their own challenges of high upfront system cost, reduced system efficiency at high load, on-board hydrogen storage system packaging, and fuel cell system (FCS) durability. To address these challenges, it is critical to ensure optimal propulsion system component sizing during the concept phase as well as ensure optimal propulsion system energy management during vehicle operation. In a previous publication, authors presented a model-based approach for system sizing and optimization of FCEV propulsion system components for a Class 8 long-haul application. In this study, the authors have evaluated and optimized multiple advanced propulsion system energy
Sadekar, GauravBatool, SadafBaburaj, AdithyaGoyal, VasuJoshi, SatyumFranke, Michael
There is great recognition regarding the importance of hydrogen as an energy route for the decarbonization of road vehicles. Several countries are making large investments to create products, services, and infrastructures that allow hydrogen to be used as a clean source for propulsion, but there are still many open questions. This complete hydrogen chain involves production, transformation, transport, storage, and use. Although many initiatives are seeking global production, the use of low-carbon hydrogen is not yet economically competitive. Therefore, for this industry to establish itself, and acknowledging the characteristics of each region, there needs to be more intense coordination of efforts between the different industrial and political segments. Low-carbon Hydrogen Use Across Economic Sectors and Global Regions establishes premises for the hydrogen economy and its main environmental aspects. It also includes proposals and scenarios to establish a strategy that relates to
Adas, Camilo Abduch
Letter from the Focus Issue Editors
Shen, RuiqingWang, Qingsheng
Turbocharger design involves adjustment of various geometric parameters to improve the performance and suit mechanical constraints, depending on the application-specific requirements. In designing the turbine stage, these parameters are optimized to maximize durability and efficiencies at the required operating points. For a heavy-duty class eight truck, “road load” and “rated power” are generally considered the two most important operating points. The objective of this article is to improve the efficiencies of these two operating points. The common challenge in the development of a turbine wheel design is the large number and interdependence of parameters to optimize. For example, increasing the blade thickness improves structural strength but reduces the mass flow capacity, thus influencing its performance. It is general practice to optimize the wheel geometry using iterative CFD analysis. However, running simulations for every single change in geometry involves significant
Wichlinski, JosephGonser, LukasNaik, PavanTaylor, Alexander H.Al-Hasan, Nisar S.
One of the major goals of the automotive industry is to improve vehicular fuel efficiency and performance with much lesser percentages of harmful tailpipe emissions. One of the major technologies includes fuel cell electric vehicles (FCEV). Fuel cell electric vehicle can positively affect the transportation industry with regards to increase in the greenhouse gas emission, air pollution. A proton exchange membrane (PEM) fuel cell that is widely used in commercial vehicles takes hydrogen and oxygen to generate the electricity. Hydrogen stored either in liquid or compressed gas, is supplied from anode end and oxygen from atmosphere is supplied from cathode end. The atmospheric air, which enters fuel cell, also contains pollutants such as nitrogen oxides (NOx), Sulphur oxides (SOx), carbon monoxides and dioxides (CO, CO2), methane, ammonia etc. Operation of fuel cell in a geographic region, where the concentration of pollutants mentioned is significant leads to adsorption on the catalysts
Bhat, AdithyaShah, SaurabhChoubey, AyushBarik, MadhusmitaMallappanavar, BabuPrasad P, Shilpa
The air supply system in a Fuel Cell Electric Vehicle (FCEV) provides the oxygen needed for the fuel cell to react with hydrogen. The air compressor, being the main component of the air supply subsystem, has the highest power consumption among all auxiliary loads in an FCEV. Therefore, efficient control of the air supply system is critical for improving fuel cell performance. The air supply system has a slow response to dynamic load changes. Due to its weak transient response, an overshoot in airflow can lead to an increase in auxiliary power loss, while an undershoot can cause a delay in meeting power requirements. Thus, reducing transients is a crucial factor in improving the overall system efficiency. In conventional control, the battery supplies additional power needed during dynamic load changes. During high dynamic load changes, there is frequent switching between the battery and the fuel cell. This frequent charging and discharging of the battery can impact its longevity
Choubey, AyushPonangi, Babu RaoShah, SaurabhMunirajappa, Chandrashekara
Fighting climate change has become a major task worldwide. Alongside the United States and China, Europe is considered as one of the biggest greenhouse gases (GHG) emitters. Therefore, the European Union (EU) has set long term strategies to reduce emissions. One of the key energy sectors to emit greenhouse gases is transportation. In this context, EU has turned its eye toward cutting emissions from the transport sector and has recently put its stamp of approval on a reworked law banning all new sales of internal combustion engine (ICE) vehicles from 2035. Despite representing only 2% of the vehicles on the road, trucks account for more than a quarter of road transport emissions in the EU and have been increasing every year since 1990. In order to investigate the impact of transportation projected policies on the heavy-duty sector, we develop the Mobility and Energy Transportation Analysis (META) Model, a python-based model to project market penetration of conventional and alternative
SAAFI, Mohamed Ali
In this study, dual fuel combustion process has been investigated numerically and experimentally in a single cylinder research engine. Two engine speeds have been investigated (1500 and 2000 rpm) at fixed BMEP of 5 bar for both engine speeds. For each engine speed two operating points have tested with and without EGR (Exhaust Gas Recirculation). The hydrogen has been injected in the intake manifold in front of the tumble intake port inlet and a small amount of diesel fuel has been introduced directly in the cylinder through two injections strategy: one pilot injection occurring Before Top Dead Center (BTDC) and one main occurring around the Top Dead Center (TDC). The dual-fuel combustion model in GT-SUITE has been used first to calibrate the combustion model by using the Three Pressure Analysis (TPA) model. This step allows the calibration of the combustion model to predict in-cylinder combustion processes. Simulations have been performed at varying mass distribution of injected diesel
Maroteaux, FadilaSEBAI, SalimMancaruso, EzioRossetti, SalvatoreSchembri, PatrickRadja, KatiaBarichella, Arnault
In response to the challenge of climate change, the European Union has developed a strategy to achieve climate neutrality by 2050. Extensive research has been conducted on the CO2 life cycle analysis of propulsion systems. However, achieving net-zero CO2 emissions requires adjusting key performance indicators for the development of these. Therefore, we investigated the ecological sustainability impacts of various propulsion concepts integrated in a C-segment sports utility vehicle assuming a 100% renewable energy scenario. The propulsion concepts studied include a hydrogen-fueled 48V mild hybrid, a hydrogen-fueled 48V hybrid, a methanol-fueled 400V hybrid, a methanol-to-gasoline-fueled 400V plug-in hybrid, an 800V battery electric vehicle (BEV), and a hydrogen fuel cell electric vehicle (FCEV). To achieve a comprehensive and objective comparison of various propulsion concepts that meet the same pre-defined customer requirements for system design, we conducted an integrated and
Kexel, JannikPischinger, StefanBalazs, AndreasSchroeder, BenediktWegner, Hagen
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