Browse Topic: Mobility

Items (1,483)
By the early 2020s, more than 4.5 billion people have been living in urban areas worldwide, compared to just 1 billion in 1960. Rising growth in urban populations present challenges to infrastructure and transportation systems. Higher traffic levels and reliance on conventional vehicles have contributed to heightened greenhouse gas (GHG) emissions, rising global temperatures, and irreversible environmental degradation. In response, emerging transportation solutions—including intelligent ridesharing, autonomous vehicles, zero-tailpipe-emission transport, and urban air mobility—offer opportunities for safer and more sustainable transportation ecosystems. However, their widespread adoption depends not only on technological performance and efficiency, but also on integration with current infrastructure, safety, resilience to unexpected disruptions, and economic viability. A dynamic agent-based System-of-Systems (SoS) transportation model is developed to simulate vehicle traffic and human
Rana, VishvaBalchanos, MichaelMavris, DimitriValenzuela Del Rio, Jose
Ensuring safe operation and reliable control of mobility systems remains a significant challenge, particularly for nonlinear and high-dimensional applications subject to external disturbances with hard constraints and limited computational resources in real-time implementations. A reference governor (RG) can enforce constraints using an add-on scheme that preserves the pre-stabilizing controller while balancing the need to satisfy other requirements, including reference tracking and disturbance rejection. Thus, in this paper, we exploit RG-based strategies focusing on nonlinear mobility systems. While the method is generalizable to other applications, such as waypoint following for autonomous driving, the flight dynamics of a quadrotor system with twelve states are used as an example. We implement a disturbance rejection RG to satisfy safety constraints and track set points. To handle nonlinearity, we propose an optimal strategy to quantify the maximum deviation between the nonlinear
Dong, YilongLi, Huayi
Flying cars have already been used in tourism, firefighting, and logistics, and might be soon used for short-distance commute. However, the lumbar spine injury risks in flying car crash accidents have raised safety concerns. This is because the crash load of a flying car is largely aligned with the orientation of the occupant’s spine. This study introduces a countermeasure of actively adjusting seat posture for mitigating lumbar injury in crash events. A flying car crash usually has a few seconds of warning time before collision to ground. The pre-impact warning time is enough to rotate the seat and occupant together using seat motors. Posteriorly rotating seat can alter the angle between the crash load and the spinal axis, thereby reducing lumbar injury risk. Using numerical simulations, the 30g deceleration pulse defined in SAE-AS-8049 was applied to seat of flying car. The THUMS (Total Human Model for Safety) human body model was used to model occupant, sitting in a typical vehicle
Zhuang, ZiaoPuyuan, TanShen, WenxuanZhou, QingGu, Gongyao
Safety assurance of Cooperative, Connected, and Automated Mobility (CCAM) systems is a crucial factor for their successful adoption in society, yet it remains a significant challenge. The SUNRISE project has consolidated previous and on-going efforts, and developed a harmonised Safety Assurance Framework (SAF) designed to operationalise the UNECE New Assessment/Test Method (NATM), targeting a wide range of stakeholders including (but not limited to) certifiers, regulators, manufacturers, suppliers, researchers, and assessors. It incorporates a scenario-based approach, underpinned by the system’s Operational Design Domain (ODD) and behaviour for safety assessment. In line with NATM, the SAF consists of multiple pillars: the Audit of manufacturer processes and Safety Management Systems, In-Service Monitoring and Reporting (ISMR) to ensure continued safety during deployment, and Performance Assurance to generate and evaluate safety evidence pre-deployment. While all pillars are integral
Zhang, XizheKhastgir, Siddarthade Vries, StefanHillbrand, BernhardOp den Camp, OlafBolovinou, AnastasiaBourauel, BryanEhrenhofer Gronvall, John FredrikMenzel, ThaddäusNieto, MarcosStettinger, GeorgJennings, Paul
Shared Autonomous Electric Vehicles (SAEVs) can enhance urban mobility and efficiency. However, their operational performance is often hindered by the spatio-temporal imbalance between vehicle supply and passenger demand, leading to long wait times. This paper develops a novel repositioning framework where a lightweight CNN, informed by computationally intensive multi-agent simulations, enables real-time strategy deployment. The results show that: (1) An optimized repositioning policy, calibrated via multi-agent simulation, effectively cuts the mean passenger waiting time from 12.0 to 3.0 minutes (a 75% reduction). (2) A lightweight CNN surrogate model enables real-time deployment, reducing the policy computation time from ~4 hours to ~5 minutes (>98% faster). (3) The deep learning surrogate achieves this speed with a negligible performance trade-off, increasing the waiting time by only 0.156 minutes (4.9%) compared to the full optimization.
Shang, KaiWang, Ning
The transition to sustainable mobility and energy systems represents a complex socio-technical challenge, with the success of new technologies and policies critically dependent on their interaction with human behavior. Traditional models frequently struggle to capture the nuanced, heterogeneous, and adaptive characteristics of individual decision-making in mobility choices and energy usage, thereby introducing significant uncertainties into system design and policy evaluation. This paper presents a novel paradigm to bridge this gap: the Hierarchical Generative Agent-based Simulation Framework (HGA-Sim). The framework's core innovations are twofold: 1) It utilizes Large Language Models to generate agents endowed with intrinsic personality traits autonomously, enabling a realistic simulation of diverse, human-like responses to environmental stimuli and personal experiences. 2) It employs a hierarchical "Archetype -Individual" architecture, rendering large-scale community simulations
Chen, YongjianYang, ZhifengOu, Shiqi(Shawn)
Wet-gap crossings, which involve moving military forces across rivers and other water obstacles, remain among the most difficult operations to plan and execute. These maneuvers are complicated by choke points, fast-flowing water, and the exposure of forces and equipment to enemy fire. Despite these challenges, wet-gap crossings are critical to maintaining operational momentum during large-scale combat operations. This study examines doctrinal approaches to wet-gap crossings and explores the relationship between these operations and observed vehicle losses in the Russia-Ukraine War. Using a mixed-method approach, the analysis integrates daily operational reports from the Institute for the Study of War with visually confirmed equipment loss data from Oryxspioenkop. A custom Wet-Gap Relevance Score (WGRS) was developed using Natural Language Processing techniques to quantify the degree to which each ISW report focused on crossing operations. Statistical analysis shows that pontoon losses
Lynch, BenjaminDosan, LoganMittal, Vikram
This study presents the design and implementation of an advanced IoT-enabled, cloud-integrated smart parking system, engineered to address the critical challenges of urban parking management and next-generation mobility. The proposed architecture utilizes a distributed network of ultrasonic and infrared occupancy sensors, each interfaced with a NodeMCU ESP8266 microcontroller, to enable precise, real-time monitoring of individual parking spaces. Sensor data is transmitted via secure MQTT protocol to a centralized cloud platform (AWS IoT Core), where it is aggregated, timestamped, and stored in a NoSQL database for scalable, low-latency access. A key innovation of this system is the integration of artificial intelligence (AI)-based space optimization algorithms, leveraging historical occupancy patterns and predictive analytics (using LSTM neural networks) to dynamically allocate parking spaces and forecast demand. The cloud platform exposes RESTful APIs, facilitating seamless
Deepan Kumar, SadhasivamS, BalakrishnanDhayaneethi, SivajiBoobalan, SaravananAbdul Rahim, Mohamed ArshadS, ManikandanR, JamunaL, Rishi Kannan
The transportation system is one major catalyst to urban ecological imbalance. In developing countries, two-wheelers are considered a major mode of urban personal transportation because of their compactness, easy maneuver in heavy traffic and good fuel efficiency. In India, middle and lower middle-class people prefer to choose two wheelers, and these vehicles are dominantly fuelled by gasoline. Although, the energy consumption by a two-wheeler is comparatively less than that of a four-wheeler, they use about 60% of the nation’s petroleum for on-road vehicles and the impact on urban air quality and climatic change is significantly high. This high proportion of gasoline utilization and emission contribution by two wheelers in cities demand greater attention to improve urban air quality and near-term energy sustainability. Electrification of two-wheelers through the application of a plug-in hybrid idea is a promising solution. A plug-in hybrid motorbike was developed by putting forth a
Kannan, PrashanthShaik, AmjadTalluri, Srinivasa Rao
As electric vertical takeoff and landing (eVTOL) aircraft move closer to commercial reality, companies and engineers are turning to advanced modeling and simulation tools to address some of their most complex design challenges earlier in development. During a recent interview with Aerospace & Defense Technology, Paul Barnard, Application Engineering Manager, MathWorks, provided insights on how the advanced air mobility (AAM) sector is tackling the complexities of eVTOL systems design, with a focus on batteries, avionics and other critical systems.
Growing population in Indian cities has led to packed roads. People need a quick option to commute for both personal trips and business needs. The 2-3 Wheel Combination Vehicle is a new, modular solution that switches between a two-wheeler (2W) and a three-wheeler (3W). Hero has designed SURGE S32 to be a sustainable and flexible transportation option. It is world’s first class changing vehicle. The idea is to use a single vehicle for zipping through city traffic, making deliveries, or earning an income. Manufactured to deal with the challenges of modern life, this dual-battery convertible vehicle can easily transform from a two-wheeler to a three-wheeler and vice versa within three minutes. The Surge S32 is a versatile vehicle that replaces the need for multiple specialised vehicles. By lowering the number of vehicles on the road, it decreases road congestion, reduces emissions, and improves livelihoods. It powers by electricity, ensuring sustainability in all aspects. The current
Ali Khan, FerozGupta, Eshan
The automotive industry is rapidly extending the capabilities of automated systems by incorporating connectivity and cooperation features that enable real-time information exchange between vehicles and road infrastructure. Within the Connected, Cooperative, and Automated Mobility (CCAM) framework, Vehicle-to-Vehicle (V2V) communication is expected to play a key role in improving road safety, traffic efficiency, and driving comfort. This work addresses a practical implementation of the standardized Manoeuvre Coordination Messages (MCMs), as defined in the ongoing ETSI standard (ETSI TS 103 561). The proposed approach is demonstrated through a cooperative cut-in use case in which two vehicles negotiate a lane change manoeuvre. In the considered scenario, the ego vehicle, driven by a Highway Pilot (HWP) system, receives the intention to cut-in from a neighbouring cooperative vehicle through an MCM. In response, the ego vehicle adapts its behaviour by decelerating to generate a safe
Leiva Ricart, GiselaDomingo Mateu, Bernat
Electric mobility is no longer a distant vision, it is a global imperative in the journey of fight against the climate change and the urban pollution. Yet, despite of explosive growth in the electric vehicle adoptions, a major bottleneck remains which is efficient and convenient charging. The current reliance on physical plug in charging station creates inconvenient, time consuming experience and also faces significant technical and economic challenges those threaten to stall the smooth clean transportation revolution. Without innovation in how we recharge our vehicle the promise of electric mobility appears under threat which is undermined by less efficient, less compatible, and infrastructure hurdles. Wireless charging technology stand out as the game changing breakthrough poised to tackle these all critical problems head on. By enabling the effortless, cable-free charging system across the wide spectrum of electric vehicles, from the personal cars to the public transport fleets and
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
This paper presents the design and implementation of a Semi-Autonomous Light Commercial Vehicle (LCV) capable of following a person while performing obstacle avoidance in urban and controlled environments. The LCV leverages its onboard 360-degree view camera, RTK-GNSS, Ultrasonic sensors, and algorithms to independently navigate the environment, avoiding obstacles and maintaining a safe distance from the person it is following. The path planning algorithm described here generates a secondary lateral path originating from the primary driving path to navigate around static obstacles. A Behavior Planner is utilized to decide when to generate the path and avoid obstacles. The primary objective is to ensure safe navigation in environments where static obstacles are prevalent. The LCV's path tracking is achieved using a combination of Pure Pursuit and Proportional-Integral (PI) controllers. The Pure Pursuit controller is utilized as lateral control to follow the generated path, ensuring
Ayyappan, Vimal RajDhanopia, RashmiAli, AshpakN, RageshSato, Hiromitsu
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
This paper presents a comprehensive technical review of the Software-Defined Vehicle (SDV), a paradigm that is fundamentally reshaping the automotive industry. We analyze the architectural evolution from distributed Electronic Control Units (ECUs) to centralized zonal compute platforms, examining the critical role of Service-Oriented Architectures (SOA), the AUTOSAR standard, and virtualization technologies in enabling this shift. A comparative analysis of leading High-Performance Computing (HPC) platforms, including NVIDIA DRIVE, Tesla FSD, and Qualcomm Snapdragon Ride, is conducted to evaluate the silicon foundation of the SDV. The paper further investigates key enabling technologies such as Over- the-Air (OTA) updates, Digital Twins, and the integration of Artificial Intelligence (AI) for applications ranging from predictive maintenance to software-defined battery management. We scrutinize the competing V2X communication standards (DSRC vs. C-V2X) and address the paramount
Ahmad, AqueelHemanth, KhimavathKumar, OmKumar, RajivHaregaonkar, Rushikesh Sambhaji
Mass Mobility Systems are critical for a sustainable and progressive society. As the world confronts the serious challenges of global warming and urban traffic congestion, efficient mass mobility solutions become critical in reducing carbon footprints and enabling equitable access. Advancement in mass mobility is not limited to electric buses alone but also includes innovations across conventional ICE vehicles, autonomous vehicles, trains, and other integrated transport networks. Safety and accessibility for users remain critical to the sustainability of future mass mobility concepts. The COVID-19 pandemic exposed vulnerabilities in public transportation, highlighting the urgent need for safer and more resilient systems. Road safety, passenger well-being, and hygienic standards must be deeply embedded into future mobility solutions. Furthermore, strong last-mile connectivity will be essential to ensure that mass mobility truly meets the needs of all citizens. An effective Mass Mobility
Vasudevan, MKumar S, AshokSridevi, MKumar, RajivKumar, Om
The automotive regulatory landscape in India is evolving rapidly, driven by a dynamic policy intervention by GOI, striking push for sustainable mobility, safety, technological advancements, dEnvironmentally soundeeper localization, energy self-reliance, product quality control and simplified registration process. Key regulations cover areas like vehicle safety norms, emission norms, fuel economy norms, BIS QCO, the promotion of EVs and alternative fuel vehicles, R & D roadmaps, ELVs, incentive policies and vehicle registration reforms. India has been keeping a close eye on the automotive regulatory progress in the Europe as well as other developed countries as a cornerstone for technical harmonization, cross learning, gauge benefits and economic implications. India is progressively aligning its automotive regulations with global standards, particularly with UN Regulations and GTRs, while also considering unique Indian driving and environmental conditions. This alignment is crucial for
Patil, Dharmarayagouda
One of the biggest goals for companies in the field of artificial intelligence (AI) is developing “agentic” systems. These metaphorical agents can perform tasks without a guiding human hand. This parallels the goals of the emerging urban air mobility industry, which hopes to bring autonomous flying vehicles to cities around the world. One company wants to do both and got a head start with some help from NASA.
As China’s socio-economic progress accelerates, residents’ mobility preferences are growing more varied. Owing to their eco-friendliness, high capacity, fixed routes and low prices, pure-electric buses have become a key component of urban transit. Yet day-to-day service is hindered by low fleet availability, limited daily kilometres and poor service quality, all of which erode operation efficiency. Taking Wuhu’s public transport network as a case study, this paper builds a performance-assessment framework for electric bus routes. Using stop-level topology, vehicle specifications and spatiotemporal passenger-flow data from eight representative routes, the study applies the Analytic Hierarchy Process (AHP). A three-tier hierarchy—goal, criteria and alternatives—is constructed; index weights and pairwise comparison matrices are then computed to rank overall route effectiveness. The findings accurately pinpoint operational bottlenecks and furnish quantitative guidance for adaptive network
Hu, TingtingLiang, ZijunLi, XiaoyanZhang, XinyiWang, MengruHu, YufengJiang, Kang
In the context of the accelerating urbanization process, the problem of urban traffic congestion has become more severe. Rail transit, with its advantages of high efficiency, convenience, and environmental friendliness, has become a key force in alleviating urban traffic pressure. An in - depth exploration of passengers’ willingness to travel by rail transit is of great significance for optimizing urban traffic planning, improving the service quality of rail transit, and promoting the sustainable development of cities. This article starts from two dimensions: objective factors and passengers’ subjective perceptions, and comprehensively uses a variety of research methods to conduct an in - depth study on passengers’ willingness to travel by rail transit. In terms of objective factors, this article analyzes the differences in subjective perceptions among different passenger groups from the perspectives of gender, age, education level, and occupation. In terms of subjective perceptions
Wang, GangHuang, LeiYang, Yihao
In the context of emerging technology developed for advanced air mobility concept, its maintenance protocols are not yet mature and existing aviation maintenance systems may not support electric-vertical take-off and landing (e-VTOL) needs. Thus, the operation of e-VTOL aircraft during its deployment stage necessitates the need for qualitative maintenance support. The main purpose of this study is to develop the basic structural principles of the projected new maintenance, repair, and overhaul (MRO) organization for e-VTOL air vehicles, which will support airworthiness through comprehensive maintenance approaches. Thus, the operation of e-VTOL aircraft during its deployment stage necessitates the need for qualitative maintenance support. The importance of the study is to offer standard procedures based on management and maintenance strategies, application of predictive and prescriptive maintenance tools, which pose a significant contribution to ensuring safety, reliability, and cost
Imanov, TapdigBozdereli, Arzu
Urban mobility is one of the major challenges faced by downtown areas in cities worldwide. Understanding how to improve it is essential, as it directly impacts the quality of life of people who live and work in these regions. There is an inconsistency in the fact that vehicles are produced with high efficiency and effectiveness, yet their purpose does not align with the daily commuting needs of large city centers, especially during peak travel times. The tools used in vehicle manufacturing, such as continuous improvement, lean manufacturing, continuous flow, and the theory of constraints, have been applied to balance transportation mode options. The analyzed scenarios aim to promote sustainable development and contribute to enhancing citizens’ quality of life. This study explores the hypothesis that if the conventional unit of measurement for vehicles, typically expressed in terms of vehicle volume or flow (vehicles/hour), were replaced by a metric based on the number of people
Mello Filho, Luiz Vicente Figueira deCanteras, Felippe BenaventeMeyer, Yuri AlexandreEmiliano, William MachadoJúnior, Vitor Eduardo MolinaGabriel, João CarlosIano, Yuzo
The growing demand for sustainable energy and the need to reduce greenhouse gas emissions have driven interest in low-carbon hydrogen production. Ethanol steam reforming (SR) offers a promising on-board H2 source by exploiting ethanol’s renewability and liquid-fuel convenience. This study presents an integrated energy and exergy analysis of ethanol SR across 573 to 923 K and steam-to-ethanol (S/E) ratios from 1 to 4 using Gibbs free energy minimization in MATLAB to predict equilibrium compositions and thermal duties. Energy analysis shows the heating duty rising from 0.0311 kWh/mol ethanol at 573 K (S/E = 1) to 0.0521 kWh/mol at 923 K (S/E = 4). Reforming duty shifts from -0.0075 to +0.2426 kWh/mol, while cooling duty recovers between -0.0219 and -0.0727 kWh/mol. The net energy balance transitions from strongly endothermic below 650 K to near-neutral at 700 to 750 K for S/E > 2, and becomes exothermic above 800 K, reaching +0.2463 kWh/mol at 923 K. Exergy analysis reveals that heating
Apaza, Jerson Bequer UrdayPradelle, FlorianBraga, Sergio LealSánchez, Fernando ZegarraGuzman, Juan Jose Milon
Vehicles powered by internal combustion engines play a crucial role in urban mobility and still represent the vast majority of vehicles produced. However, these vehicles significantly contribute to pollutant emissions and fossil fuel consumption. In response to this challenge, various technologies and strategies have been developed to reduce emissions and enhance vehicle efficiency. This paper presents the development of a solution based on optimized gear-shifting strategies aimed at minimizing fuel consumption and emissions in vehicles powered exclusively by internal combustion engines. To achieve this, a longitudinal vehicle dynamics model was developed using the MATLAB/Simulink platform. This model incorporates an engine combustion simulation based on the Advisor (Advanced Vehicle Simulator) tool, which estimates fuel consumption and emissions while considering catalyst efficiency under transient engine conditions. Based on these models, an optimization method was employed to
Da Silva, Vitor Henrique GomesCarvalho, Áquila ChagasLopez, Gustavo Adolfo GonzalesCasarin, Felipe Eduardo MayerDedini, Franco GiuseppeEckert, Jony Javorski
This paper explores riding characteristics of Shared Two-Wheeled Vehicles (STWV, including Shared Bicycles (SB) and Shared Electric Bicycles (SEB)) by using order data of nine cities. We first compute the mean values of three key elements of riding characteristics and make a comparison between different cities. It shows that STWV primarily serve short trips. Then, we use Python to fit the distribution of STWV riding distance and the distribution of SEB riding speed. We find that (1) Exponential distribution fits SB riding distance and Rayleigh distribution fits SEB riding distance. The regularity of the distribution for SB is more universal than that of SEB. (2) Modified standard logistic distribution in this paper fits SEB riding speed. The findings above indicate that SEB is not governed by the rules that govern human dynamics, thus expanding the scope of two-wheeled transportation service and introducing greater uncertainty.
Liu, LuWei, LiyingLuo, Sida
As mentioned in last issue's editorial, this year's IAA Mobility show was one for the books - or, more appropriately here, one for the magazine. You can find our coverage of the show starting on page 14. Up front, though, I wanted to take some space to discuss a topic that wasn't exactly news but more of a vibe: the undeniable impact that the Chinese automotive industry is having on competitors in Europe and North America. It was a topic that came up unbidden from a fair number of people I spoke with at IAA (and at events and online since). If you're a regular reader, you've heard this message before. Last year, for example, the CEO of Voltaiq, Tal Sholklapper, told SAE Media that North American OEMs had five years to catch China. This year, we asked him if that clock had now run down to four years. See his answer on the Q&A on page 35 and as part of Episode 2 of the new SAE Automotive Engineering podcast (get it wherever you grab your pods). The ever-growing reality of Chinese
Blanco, Sebastian
Thor Industries introduced what it claims is the world's first extended-range Class A motorhome. The company claims the Embark by Entegra Coach offers up to 450 miles (725 km) of real-world driving range thanks to an integrated range extender. “Electrification will play a central role in the future of mobility, including RVing,” said Thor Industries president and CEO Bob Martin. “This first-of-its-kind electric Class A motorhome reinforces Thor's innovation leadership and offers unparalleled product differentiation for the Entegra Coach brand.”
Wolfe, Matt
The path toward carbon-neutral mobility represents one of the greatest cultural transformations in recent human history. Positioned between industrial heritage, emerging mobility technologies, and the energy supply sector are the users of 1.5 billion motor vehicles worldwide. Conflicting publications on raw material availability, energy efficiency, and the climate neutrality of propulsion systems have led to widespread uncertainty. This Illustrated Energy Primer provides a new foundation for orientation. It begins with a visual explanation of the basic concepts of energy and power, followed by illustrative comparisons of typical energy demands in vehicles and households. The focus then shifts to common types of energy generation systems. Using regional examples—from coal-fired power plants to wind farms, solar installations, and balcony solar panels—the guide provides clear and accessible performance benchmarks for energy production. Next, nine individual experience profiles highlight
Daberkow, Andreas
The wing-in-ground effect (WIG) vehicle represents a significant advancement in aerodynamics and vehicle design, leveraging the ground effect phenomenon to enhance lift and reduce drag when flying close to the surface. This unique capability allows WIG vehicles to achieve higher payloads, longer range, and greater fuel efficiency compared to traditional aircraft, making them an attractive option for modern military and global disaster response applications. Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster Response discusses future disaster response, logistics, and military applications for WIG vehicles, including the ongoing development of aerospace and transportation technology. Relavant advancements in materials and propulsion systems holds promise for further enhancing WIG performance and operational range. Additionally, cost-effective and powerful flight computers with various types of mission-enabling sensor suites from the
Doo, Johnny
This article presents a new generation of electric motors developed for light mobility and industrial applications. The motor range is based on synchronous reluctance technology using non-rare-earth permanent magnets. Three continuous power levels have been developed: 2, 4 and 6 kW. The challenges related to that motor range is their high continuous performances (cooled by natural convection) under nominal 48V, and reparability easiness without adding complexity. These motors stand out thanks to their competitive manufacturing cost and peak efficiency above 94%, which is a remarkable performance for this power and torque class. A prototype of a 6 kW continuous power has been produced and benchmarked. The experimental test showed a high level of correlation with the simulation calculation.
CISSE, Koua MalickMilosavljevic, MisaMallard, VincentValin, ThomasDe Paola, Gaetano
In the recent years, the urgency to decarbonize the mobility sector has highlighted the importance of the electrochemical hydrogen use in fuel cells to complement the battery-based electrification. Hydrogen is the greenest energy carrier, and low-temperature Polymer Electrolyte Membrane Fuel Cells (PEMFCs) are part of an ever-evolving scenario, with particularly promising use in high energy demand sectors. Hydrogen is the main player in decarbonisation scenarios, but there are many issues, including its production and storage. There are many categories of hydrogen; in these applications, the finest category of hydrogen, called green hydrogen, is required. To achieve completely green vehicle mobility, enormous technological advances are necessary. This paper presents a 3D-CFD study to analyse the behaviour of PEMFCs by examining the role of humidification, covering fully humidified (anode and cathode), anode-only, cathode-only, and fully dry operations. This is simulated for several
Scialpi, LeonardoD'Adamo, AlessandroMarra, Carmine
The reduction of the CO2 footprint of transport vehicles is a major challenge to minimize the harmful impact of technology on the environment. Beside passenger cars and light and heavy-duty vehicles, this affects also the two-wheeler category and the non-road mobile machinery (NRMM). One promising path for the de-carbonization is the transition from fossil-fuel powered ICE powertrains to electric powertrains. Several examples of electrified powertrains showcase possibilities for small hand-held power-tools or small mopeds and scooters. As the powertrain categories two-wheeler and NRMM are very diversified and consist of various sub-categories and sub-classes with many different applications, the feasibility of electrification for the whole category cannot be judged by few examples. In this publication, a methodology for assessing the electrification potential of hand-held power tools and two-wheelers is shown. The method uses 4 different factors, which determine the feasibility for
Schmidt, StephanSchacht, Hans-JuergenWeller, KonstantinAbsenger, Johann Friedrich
This study delves into the dynamics of three-wheeled Personal Mobility Vehicles (PMVs) equipped with an active tilting mechanism. In three-wheeled vehicles with a single front wheel, the risk of tipping over during sudden braking and sharp turning is often highlighted. To address this issue, the authors have focused their research on three-wheeled PMVs with two front wheels and one rear wheel, equipped with an active tilting mechanism. Previous studies using dynamic simulation tools have demonstrated that such PMVs possess higher obstacle avoidance capabilities compared to motorcycles and even passenger cars. However, these simulations were based on the assumption of avoidance maneuvers without braking, and no studies have yet examined the behavior of three-wheeled PMVs with an active tilting mechanism under the more complex conditions of braking during turning. Therefore, prior to conducting dynamic simulations under braking and turning conditions, this study aims to clarify the
Haraguchi, TetsunoriKaneko, Tetsuya
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