Browse Topic: Weather and climate

Items (3,749)
The growing global adoption of electric vehicles (EVs) has resulted in a spike in the number of EV charging stations. As EVs have become more and more popular worldwide, a large number of EV charging stations are opening up to accommodate their demands. During grid failures, an EV charging station can also serve as a flexible load connected to the grid to balance out voltage fluctuations. An EV charging station when powered using a separate source, such as solar or wind, can function as a powerhouse, bringing electricity to the grid when it's needed. Therefore, instead of installing more equipment to sustain voltage, the current EV charging station can be efficiently used to meet the grid's needs during failures. These stations have the potential to be dynamic, grid-connected assets for sustainable cities and communities in addition to their core function of vehicle charging (SDG 11). Because of their dual purpose, they can serve as adaptable loads that reduce voltage variations during
R, UthraRangarajan, RaviD, SuchitraD, Anitha
This Aerospace Recommended Practice (ARP) outlines the causes and impacts of moisture and/or condensation in avionics equipment and provides recommendations for corrective and preventative action.
AC-9 Aircraft Environmental Systems Committee
In recent years, the automotive industry has been looking into alternatives for conventional vehicles to promote a sustainable transportation future having a lesser carbon footprint. Electric Vehicles (EV) are a promising choice as they produce zero tail pipe emissions. However, even with the demand for EVs increasing, the charging infrastructure is still a concern, which leads to range anxiety. This necessitates the judicious use of battery charge and reduce the energy wastage occurring at any point. In EVs, regenerative braking is an additional option which helps in recuperating the battery energy during vehicle deceleration. The amount of energy recuperated mainly depends on the current State of Charge (SoC) of the battery and the battery temperature. Typically, the amount of recuperable energy reduces as the current SoC moves closer to 100%. Once this limit is reached, the excess energy available for recuperation is discharged through the brake resistor/pads. This paper proposes a
Barik, MadhusmitaS, SethuramanAruljothi, Sathishkumar
The automotive industry is advancing rapidly with the integration of cutting-edge technology, aesthetics, and performance. One area that has remained relatively underexplored in the pursuit of sleek, minimalistic interiors is the packaging of Sunshade in door trim system. Traditional sunshade design, often bulky and increasingly incompatible with the trend towards compact design and packaging. The car sunshade is a shield that is placed on a car side window and used for regulating the amount of light entering from the car window and helps improve the passenger comfort inside the cabin. Car Interior components, specifically plastic and seats are based on thermal stress properties. When we expose these parts to direct contact with sunlight, humidity and ambient temperature above threshold limit, the interior plastic parts can start to soften and melt. Due to this, they start emitting harmful chemicals which cause anemia and poor immune systems. So, the Sunshade, in addition to protecting
Palyal, NikitaD, GowthamBhaskararao, PathivadaBornare, HarshadRitesh, Kakade
Electric buses (e-buses) are essential to sustainable public transport, but their real-world efficiency and range are heavily affected by auxiliary systems, particularly the Heating, Ventilation, and Air Conditioning (HVAC) system. This study investigates how ambient temperature variations and HVAC loads influence energy consumption, range, and efficiency in e-buses operating under diverse climatic conditions. The methodology combines field data collection from urban e-buses across seasons—including extreme summer and winter—with controlled laboratory testing. Field measurements included ambient temperature, HVAC demand, vehicle speed, state of charge (SOC) variation, and energy consumption. These inputs were used to develop real-world duty cycles, replicating actual thermal loads, passenger profiles, idling periods, and driving patterns. In the laboratory, these cycles were simulated using a chassis dynamometer and environmental chamber, with HVAC systems tested at controlled ambient
Vishe, PrashantDalela, SaurabhSaraswat, ShubhamJoshi, Madhusudan
The automotive industry is encountering difficulties in balancing occupant thermal comfort with HVAC system energy efficiency, particularly under the hot Indian conditions, to meet user expectations and address range anxiety in electric vehicles. Front-loaded comfort-based approach simulations during the development stages have the potential to increase energy savings compared to the stages required at the end of product design. The focus of the current research targets HVAC energy consumers, such as blower flow rates, temperatures, and Cabin heaters, and investigates how these factors influence occupant overall comfort. Additionally, design elements like glass properties and the impact of solar radiation on human comfort are studied at the early concept stages to adopt an energy-based approach for comfort optimization. Simulations are conducted using GT-SUITE and GT-TAITherm software, integrated with CFD field maps platforms to obtain exact flow field predictions. The simulation
Bavrisetti, Sai Sampath KumarChothave, AbhijeetGummadi, GopakishoreKhan, ParvejThiyagarajan, RajeshRaju, KumarA Sr, Mahesh
The invention tackles the main drawback of traditional electric vehicle charge ports which use Vehicle Control Unit (VCU) communication intensively and tend to have separate actuators to fulfill the locking function and requirements. These existing systems do not only limit autonomous operation of the charging lid in ignition-off condition but they also add mechanical complexity and packaging space, as well. To overcome these limitations, this research work introduces a Smart Charge Port Housing (CPH), which combines a rotary actuator with an onboard microcontroller and single shaft self-locking device, which allows intelligent and autonomous control of the flaps without relying on vehicle wide control networks. The actuator can remember the last position that the charging lid was in so it can be operated even while the VCU is in the inactive state. The integrated self-locking functionality is achieved by using a specially designed hinge shaft that allows a certain free play for
Mohunta, SanjayKhadake, Sagar
As the transportation industry pivots towards safer and more sustainable mobility solutions, the role of advanced surface technologies is becoming increasingly critical. This paper presents a novel application of electroluminescent (EL) coating systems in heavy-duty trucks, exploring their potential to enhance vehicular safety and reduce environmental impact through lightweight, energy-efficient lighting integration. Electroluminescent coatings, capable of emitting light uniformly across painted surfaces when electrically activated, offer a transformative alternative to conventional external lighting and reflective materials. In the context of heavy-duty trucks, these systems can significantly improve visibility under low-light and adverse weather conditions, thereby reducing the risk of road accidents. Furthermore, the uniform illumination achieved without bulky fixtures contributes to aerodynamic efficiency, supporting fuel economy and reducing carbon emissions. use of this coating
Harel, Samarth DattatrayaBorse, ManojL, Kavya
A significant contributor to particle mass (PM) emissions originating from road transport are particles emitted from brakes, which in Europe are considered in the upcoming Euro 7 emission legislation. UN-GTR (United Nations Global Technical Regulation) no. 24 describes the methodology for measuring brake particle emissions in a test cell setting with a dynamometer, both in terms of PM and PN (particle number). A regulation-compliant test fulfills various quality criteria for different control parameters, which can often be met by applying different control strategies. In this study, we evaluate the effects of implementing different control strategies for torque applied to the brake by the dynamometer, as well as for sampling flow. Additionally, we discuss the cost-saving potential of increasing the automation degree of testing, as well as modifying existing testbeds to accommodate brake emission testing. The torque control strategies applied in this study did not influence PN or PM
Martikainen, SampsaWeidinger, ChristophHuber, Michael Peter
Accidents during lane changes are increasingly becoming a problem due to various human based and environment-based factors. Reckless driving, fatigue, bad weather are just some of these factors. This research introduces an innovative algorithm for estimating crash risk during lane changes, including the Extended Lane Change Risk Index (ELCRI). Unlike existing studies and algorithms that mainly address rear-end collisions, this algorithm incorporates exposure time risk and anticipated crash severity risk using fault tree analysis (FTA). The risks are merged to find the ELCRI and used in real time applications for lane change assist to predict if lane change is safe or not. The algorithm defines zones of interest within the current and target lanes, monitored by sensors attached to the vehicle. These sensors dynamically detect relevant objects based on their trajectories, continuously and dynamically calculating the ELCRI to assess collision risk during lane changes. Additionally
Dharmadhikari, MithilS, MrudulaNair, NikhilMalagi, GangadharPaun, CristinBrown, LowellKorsness, Thomas
As atmospheric CO₂ concentrations continue to rise at unprecedented rates, the urgent need for breakthrough technologies that can efficiently capture carbon directly from the air and convert it into sustainable synthetic fuels has never been clearer. While numerous capture and conversion methods have been propose, many remain at an early stage of development, facing significant challenges such as low energy efficiency, limited scalability, and high operational costs. This lack of technological maturity underscores a vast, largely untapped potential for innovation and transformative advancement. In response to this gap, the present study compiles and critically examines a wide spectrum of emerging capture and conversion technologies. Through a detailed exploration of their functionalities, potentials, advantages, and challenges, the paper accumulates a comprehensive and well-informed dataset. This holistic understanding not only reveals key bottlenecks but also identifies promising
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
Currently, we face the challenge that ensuring ADS safety remains the primary bottleneck to large-scale commercial deployment—while benchmarks such as the CARLA Leaderboard have spurred progress, their coarse evaluation granularity, inability to quantify procedural risks, and lack of differentiation among algorithms in complex scenarios make in-depth diagnostics and functional safety validation exceedingly difficult. To address these challenges, we propose EvalDrive, a framework that seems to offer a more comprehensive approach to multi-scenario performance evaluation for modular autonomous driving systems. Within this broader analytical framework, EvalDrive appears to provide what seems to be three key contributions. (1) It constructs what appears to represent a structured and extensible scenario library, comprising a majority of 44 interactive scenarios, 23 weather conditions, and 12 town environments, which are then systematically expanded through parameterized variations. (2) Our
Jia, ChunyuKong, YanMa, YaoPei, Xiaofei
Rainfall, as a common trigger condition in the Safety of the Intended Functionality (SOTIF) framework, can impair autonomous driving perception systems, leading to unexpected functional failures. However, studies focusing on sensor performance degradation under natural rainfall conditions are limited, primarily due to the lack of datasets with detailed rainfall information. To address this gap, this study present RainSense, a multi-sensor autonomous driving dataset collected under natural rainfall conditions, featuring fine-grained rainfall intensity annotations. RainSense was recorded at nine representative intersection scenarios in the campus, where a single dummy target was placed at various distances as a detection target. A laser-optical disdrometer was deployed to continuously measure rainfall intensity (mm/h), while camera images, lidar point clouds, and 4D radar data were synchronously collected under different rainfall levels. In total, the dataset comprises 728 cases
Xia, TianYang, XingboChen, TianruiZhang, LonggaoYe, ShaolingfenChen, Junyi
Based on field investigations of loess slopes along highways in the Lüliang region, a numerical infiltration model of highway loess slopes was established using the ABAQUS finite element software. The study examined the time to plastic zone coalescence and variations in infiltration range under two intense rainfall scenarios for slopes of different heights. Furthermore, a landslide numerical model of the loess slope was constructed using the FEM-SPH method, and a predictive formula for landslide runout distance of highway loess slopes was derived through data fitting.The results indicate that under the same slope height, increased rainfall intensity leads to a certain degree of reduction in landslide runout distance. Conversely, under the same rainfall condition, greater slope height significantly increases the runout distance. This study provides a theoretical foundation and methodological support for stability evaluation and runout distance prediction of loess slopes under intense
Liu, ManfengLi, Hong
2
Oliveira Dias, Vinícius José deBarbieri, Paulo Eduardo LopesMoreira, Thiago Augusto AraújoSantos, Alex HenriqueFreitas Paulino, Tiago de
The road transport mode is predominant in Brazil, representing more than 50% of greenhouse gas (GHG) emissions from energy sector [1]. Currently, trucks use internal compression combustion engine (ICCE) with fuel Diesel as propulsion, considering the reference for technical and economic studies for alternative propulsions such as: electrification or hydrogen (H2) as fuel. Both technologies are extremely important to achieve the goals defined by Brazilian nationally determined contribution (NDC) (commitment to Paris agreement target) to avoid climate changes catastrophic issues due climate temperature risk to exceed 2°C. In addition, several companies have announced sustainability compromises to contribute with reduction of GHG emissions in scopes 1,2 and 3, focusing on Environmental, Social and governance (ESG), where road transportation has a larger contribution to achieving the target. Contran Resolution (CR) n° 882/2021 defines the maximum weights and dimensions of vehicles to be
Ferreira, Bruno FranciscoOliveira Da Silva, Laura de
The control of rainfall runoff drainage in large airports presents significant challenges, particularly in terms of real-time coupling with meteorological warnings. This paper proposes an optimization method for the layout of sponge-like drainage ditches in large airports under BIM-3DGIS coupling. A BIM water supply and drainage model is constructed, with detailed inspections conducted on the functions and connections of the pipeline system in Revit software. The flow velocity and equivalent water supply pressure within the pipelines are analyzed, and collision detection is performed on the components. Based on 3DGIS technology, an optimization model for the layout of sponge-like drainage ditches is established, taking into comprehensive consideration various factors such as airport topography, rainfall characteristics, and surrounding environment. By calculating the water level changes within the infiltration and drainage ditches under different design rainfall scenarios, the storage
Geng, LiangsuiZhao, ZhenyuHu, Jing
Automatic emergency braking (AEB) systems are crucial for road safety but often face performance challenges in complex road and climatic conditions. This study aims to enhance AEB effectiveness by developing a novel adaptive algorithm that dynamically adjusts braking parameters. The core of the contribution is a refined mathematical model that incorporates vehicle-specific correction coefficients and a real-time prediction of the road–tire friction coefficient. Furthermore, the algorithm features a unique driver-style adaptation module to optimize warning times. The developed system was functionally tested on a vehicle prototype in scenarios including dry, wet, and snow-covered surfaces. Results demonstrate that the adaptive algorithm significantly improves collision avoidance performance compared to a non-adaptive baseline, particularly on low-friction surfaces, without introducing excessive false interventions. The study concludes that the proposed adaptive approach is a vital step
Petin, ViktorKeller, AndreyShadrin, SergeyMakarova, DariaAntonyan, AkopFurletov, Yury
With air resistance being one of the two major energy losses in on-road vehicles (the other one being tire losses) and therefore heavily contributing to the range of battery electric and fuel cell electric vehicles, it is necessary to account for realistic air resistance in a priori assessments like vehicle range estimations, component dimensioning, and system simulations. However, lack of input data tempts analysts to instead assume unrealistic “nominal conditions” throughout—a simplification which usually underestimates the amount of energy actually required to overcome air resistance and completely ignores the fact that varying environmental conditions will lead to significant variances in energy consumption and therefore vehicle range. Using “nominal conditions,” it is thus impossible to assess the robustness of these measures and, therefore, difficult to design robust systems and to perform meaningful trade-off studies. In this study, we show how publicly available data from
Filla, Reno
Perception radar company Arbe was at IAA Mobility in Munich this year to press the case that customers can and should trust automated vehicles. One reason is the global trend of stricter regulations from the NHTSA, Euro NCAP, and in China, which now require automated vehicles to safely meet demanding use cases that are not covered by current sensors, according to Arbe co-founder and CTO Noam Arkind. Arkind told SAE Media that one such category is detecting vulnerable road users (VRU) in poor weather and lighting conditions. “We know from recent tests that a lot of Chinese cars, for example, failed VRU detections in the dark,” he said. “Camera alone doesn't really have reliable pedestrian detection in a dark situation. Radar is a great sensor. It's very sensitive. It's not dependent on weather conditions or lighting conditions, but it's noisy, it's low resolution, and it's hard to use.”
Blanco, Sebastian
Whether it’s the meeting room of an office building, the exhibition room of a museum or the waiting area of a government office, many people gather in such places, and quickly the air becomes thick. This is partly due to the increased humidity. Ventilation systems are commonly used in office and administrative buildings to dehumidify rooms and ensure a comfortable atmosphere. Mechanical dehumidification works reliably, but it costs energy and — depending on the electricity used — has a negative climate impact.
Researchers have created a simulation model to analyze how coastal management activities meant to protect barrier islands from sea-level rise can disrupt the natural processes that are keeping barrier islands above water.
To provide needs of food, clothing and infrastructure for growing population of the world, off-highway vehicles such as those in construction, agriculture and commercial landscaping are moving towards electrification for enhanced precision, productivity, efficiency and sustainability. It has also paved way to adopt autonomy of these vehicles to address challenges like skilled labour shortage for timely and efficient execution. There are many challenges and opportunities of electrification in off-highway domain, be it through completely replacing engine in vehicles or efficiency improvements using hybrid architecture for powertrain and auxiliary power demands, electrification being key enabler precision and speed of the complex operations, automation of complex operation. This paper explains the need of electrification in electric off-highway vehicles and shows how the electrification solves the current challenges faced by off-highway heroes like farmers, construction site owners and
Deshpande, Chinmay VasudevMujumdar, ChaitanyaBachhav, Kiran
Off Highway vehicles recreation has rapidly expanded across the globe hence it is important to consider the safety of off-highway vehicles which is significantly influenced by various environmental factors, which can pose unique challenges and risks. it is important to make sure that the entire vehicle operates safely and reliably even in the toughest conditions. This paper investigates the impact of environmental conditions on the safety and performance of off-highway vehicles, such as construction equipment, agricultural machinery, and mining vehicles. By examining factors such as terrain, weather conditions, visibility, and natural obstacles, the study aims to identify key hazards and propose strategies to mitigate them. The paper explores how advanced technologies, including digital twins and predictive analytics, can be leveraged to enhance safety measures and improve vehicle resilience in diverse environmental settings. Through comprehensive case studies and empirical data, we
Mogal, MasthanvaliChennamalla, Chandra Shekar
In the agricultural industry, the logistics of transporting and storing bales, used as cattle feed, pose significant challenges for large scale farms. Traditional storage of bales in barns is labor-intensive, high in capital expenditure and requires multiple trips of transport vehicle on and off the field. Improper handling during this transition can lead to substantial losses in time, resources and loss of hay. This development aims to eliminate the last-mile transportation step, by enabling year-round storage of bales directly in the field. A patented wrapping material, along with strategic orientation of wrapped bales, enhances their resistance to weather conditions. Field experiments demonstrated that this innovative material not only protects the bales from adverse environmental factors but also effectively retains their nutrient and moisture content. A critical aspect of this solution is ensuring the correct orientation of the wrap seams, as the bales are continuously rotated
Kadam, Pankaj
Electricity is a fundamental necessity for individuals worldwide, serving as a force driving technological progress hitherto unimaginable. Electricity generation uses diverse methodologies based on available natural resources in a given geographic region. Conventional methods like thermal power from coal and natural gas, water-based hydropower, solar power from the sun, wind power, and nuclear power are used extensively, the former two being the dominant sources. The generation of nearly 70% of the world's electricity is estimated to be from thermal power plants; however, these operations lead to widespread environmental destruction, greenhouse emissions, and the occurrence of acid rain. Conventional thermal power plants run on the Rankine cycle principle of a boiler, a turbine, a condenser, and a pump. A similar method may be used in the Organic Rankine Cycle (ORC) with the use of solar energy, where heat is transferred to the working fluid in the boiler using a heat pipe, a passive
Deepan Kumar, SadhasivamKumar, VDhayaneethi, SivajiMahendran, MSaminathan, SathiskumarR, KarthickA, Vikasraj
Widespread adoption of electric vehicles (EVs) is hindered by "range anxiety," a major concern for consumers. A primary contributor to this issue is the significant energy consumption of the Heating, Ventilation, and Air Conditioning (HVAC) system, which can account for 15-40% of a vehicle's total energy demand, directly reducing its practical driving range. Using the 1D simulation tool GT-SUITE, this research provides a comparative analysis of two distinct HVAC architectures: a conventional air-cooled condenser (ACC) and a proposed liquid-cooled condenser (LCC). The performance of both hardware systems was evaluated under two control strategies a Proportional-Integral (PI) controller and a basic On/Off controller—to identify the optimal configuration. The results advocate that optimizing the system's architecture and control logic yields a substantial improvement in the Coefficient of Performance (COP) ranging from 47% to 128% compared to the baseline ACC/On-Off configuration, with a
T R, RakshithYadav, Ankit
Single-zone cabin climate control systems have been standard for decades in passenger cars. Looking at the technology trend, which is transitioning from single-zone to multi-zone automatic control systems, it is now possible to provide zonal comfort tailored to the individual requirements of each passenger. In current single-zone climate control systems, maintaining the cabin temperature as stated by the passenger has been straightforward and can be achieved with slight calibration efforts using the present set of parameters and sensors until now. In this work, a multi-zone climate system highlighting the importance of individual calibration parameters in improving cabin comfort when transitioning from a single-zone to a multi-zone climate control system is proposed. As multi-zone climate systems are based on passenger set temperature requests for individual zonal comfort, appropriate controller fine-tuning is challenging when an input is taken from various sensed parameters, including
Varma, MohitSwarnkar, Sumit KumarBHOSALE, KRISHNAPatil, PrashantSardesai, Suresh
Compressor durability is a critical factor for ensuring the long-term reliability of Mobile Air Conditioning (MAC) systems in passenger vehicles. This study presents a software based strategy for enhancing compressor life using Smart Fully Automatic Temperature Control (FATC), requiring no additional hardware. The proposed approach leverages existing inputs from the FATC and Engine Management System (EMS) to intelligently manage compressor operation, with a focus on addressing challenges related to prolonged non-usage. In extended inactivity scenarios such as during cold weather, vehicle exportation, storage, or breakdowns, lubrication oil tends to settle in the compressor sump, leaving internal parts dry. Sudden reactivation at high engine speeds under such conditions can cause increased friction, wear and even compressor seizure. To mitigate this, an intelligent reactivation protocol has been developed and integrated into the Climate Control Module (CCM). This protocol continuously
Deshmukh, GaneshChotaliya, BhavyKulkarni, ShridharKHAIRE, DATTATRAYJaybhay, SambhajiJoshi, GauravShah, Geet
The work presents a micro-electromechanical system (MEMS) temperature sensor that has been designed using COMSOL Multiphysics 6.0 software for use in predicting the temperature of automotive parts. Due to its versatility, the shape of this design employs a meander, and this involves joule heating physics. It clearly shows the variation of resistance with temperature. For this design, Nitinol nano material is used because of the following advantages: Enhanced Shape Memory Effect, Superior Super elasticity, Increased Surface Area, Increased Surface Area, Improved Biocompatibility, Tunable Properties, Enhanced Mechanical Properties. Nitinol having high strength to weight ratio find its application in aerospace industry. This sensor works based on the principle of temperature dependence of resistance; that is, the resistance of the material increases or decreases based on temperature. It is observed that Nitinol has low von Mises stress, proving the safety nature of the material in
P, Geetha
Optimization of the operating conditions for the proton exchange membrane fuel cell (PEMFC) is a challenging part as these are multi-input problems, however optimization is essential to achieve maximum stack efficiency, cost and weight reduction, and fuel utilization. In this article, an analytical model of the fuel cell is obtained by considering the Butler-Volmer and Nernst equations. Effect of operating pressure, temperature on the cell output voltage (Ecell), stack power (Pst), and stack efficiency (ηst) is analyzed to understand the behavior of the fuel cell at various operating conditions. It has been observed that the Pst increases with the increase in current density (i) whereas the ηst reduces with the increase in i. Hence, it is required to optimize the Pst and ηst so that maximum power can be extracted from the fuel cell stack without compromising in its efficiency and performance. For the multi-objective optimization study, eight input parameters are considered: operating
Panda, SamarendraSahu, TomeshBansode, Annasaheb
In recent years, traffic issues in China have been emerging continuously, and the traffic congestion problem in Beijing is particularly prominent. We have explored the relationships between factors such as driving duration, road length, weather conditions in Beijing and traffic congestion. By using the Logistic Regression Model to analyze the relationships among driving duration, road length and traffic congestion, we found that both driving duration and road length are negatively correlated with traffic congestion. The model shows high accuracy and recall rate, demonstrating excellent performance. We also employed the Weighted Average Correlation Model to study the relationship between weather conditions and traffic congestion. The results indicate that traffic congestion is more severe in rain, snow, and foggy weather, while it is less serious in sunny and cloudy weather. Subsequently, through the noise level verification, the stability of the model was confirmed. At the same time
Feng, JiaruiHan, Xiran
To learn more about the nature of matter, energy, space, and time, physicists smash high-energy particles together in large accelerator machines, creating sprays of millions of particles per second of a variety of masses and speeds. The collisions may also produce entirely new particles not predicted by the standard model, the prevailing theory of fundamental particles and forces in our universe. Plans are underway to create more powerful particle accelerators, whose collisions will unleash even larger subatomic storms. How will researchers sift through the chaos?
Analyzing and accurately estimating the energy consumption of battery electric buses (BEBs) is essential as it directly impacts battery aging. As fleet electrification of transit agencies (TAs) is on the rise, they must take into account battery aging, since the battery accounts for nearly a quarter of the total bus cost. Understanding the strain placed on batteries during day-to-day operations will allow TAs to implement best-use practices, continue successful fleet electrification, and prolong battery life. The main objective of this research is to estimate and analyze the energy consumption of BEBs based on ambient conditions, geographical location, and driver behavior. This article presents a model for estimating the battery energy consumption of BEBs, which is validated using the data on federal transit bus performance tests performed by Penn State University and experimental aggregated trip data provided by the Central Ohio Transit Authority (COTA). The developed simulator aims
Shiledar, AnkurShanker, AnirudhPulvirenti, LucaDi Luca, GiuseppeAkintade, RebeccahRizzoni, Giorgio
Moisture is known to be a relevant factor during a friction material life, affecting tribological behaviors such as friction coefficient and torque variations. In this study we investigated the interaction between friction materials and water; employing various techniques such as contact angle measurements, water adsorption, and exposure to controlled environmental condition changes. Focusing on NAO friction material, mix modifications were studied to highlight differences and understand mechanisms, in particular, organic content and hydrophobic agents, were examined. Characterization results showed that brake pads hydrophobicity can be influenced by water interaction conditions; even low-wettability surfaces, such as those treated with hydrophobic modifiers, can still absorb water depending on internal factors (e.g., porosity) and external conditions (e.g., contact time, humidity). Additionally, we investigated the capacity of a friction material to adsorb water and desorb it back to
Iodice, ValentinaDurando, PietroBalestra, SimonePellerej, Diego
This study investigates the correlation between moisture behavior and corrosion stiction mechanisms in NAO friction materials. While previous studies on corrosion stiction have primarily focused on electrochemical approaches, this study aims to elucidate the mechanism by examining moisture behavior within the friction material. Although recent research has investigated changes in pad properties in humid environments, most studies have primarily focused on variations in pad stiffness and the friction coefficient. To date, no studies have investigated the behavior of moisture within pads using Fick’s Second Law and its impact on corrosion stiction. In this study, Fick’s Second Law was applied to model moisture behavior in friction materials. The diffusion coefficient and maximum moisture content were quantified, revealing that moisture behavior in the friction material can be divided into two distinct stages: one following Fick’s Second Law and the other not. For NAO friction materials
Choi, NakcheonJu, JoungsuYoun, Deokki
As weather-related catastrophes and urban vulnerabilities intensify, there is a growing interest in AI-driven tools for predicting weather patterns and disaster response. Engineers at Texas A&M University have developed CLARKE (Computer vision and Learning for Analysis of Roads and Key Edifices) — a system that uses drone imagery and artificial intelligence to rapidly assess damage after hurricanes and floods.
High-altitude uncrewed aircraft can remain in the lower stratosphere for extended periods, performing a wide range of Earth observation and communications tasks – from monitoring shipping lanes and supporting disaster response to providing internet access. The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has now taken an important step in the development of its own high-flying solar aircraft by successfully completing a Ground Vibration Test (GVT) on its innovative HAP-alpha high-altitude platform. Extensive ground trials took place at DLR’s National Experimental Test Center for Unmanned Aircraft Systems in Cochstedt, Germany. Further tests will follow and the first low-altitude flight trial is planned for 2026, subject to ideal weather conditions.
The German Aerospace Center's (DLR) solar-powered high altitude platform (HAP) has completed ground vibration testing, in preparation for low altitude flight testing planned for 2026. German Aerospace Center (DLR), Cologne, Germany High-altitude uncrewed aircraft can remain in the lower stratosphere for extended periods, performing a wide range of Earth observation and communications tasks - from monitoring shipping lanes and supporting disaster response to providing internet access. The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has now taken an important step in the development of its own high-flying solar aircraft by successfully completing a Ground Vibration Test (GVT) on its innovative HAP-alpha high-altitude platform. Extensive ground trials took place at DLR's National Experimental Test Center for Unmanned Aircraft Systems in Cochstedt, Germany. Further tests will follow and the first low-altitude flight trial is planned for 2026, subject to ideal
The third-generation Nissan Leaf represents the automaker's efforts to bring the world's first mass-market modern EV up to date. This meant making changes to the powertrain - better winter charging, new NACS connectors - while keeping some things the same. SAE Media spoke with Jeff Tessmer, senior manager, R&D engineer, technology planning and research at Nissan Technical Center North America, about these updates.
Blanco, Sebastian
Engineers from Australia and China have invented a sponge-like device that captures water from thin air and then releases it in a cup using the sun’s energy, even in low humidity where other technologies such as fog harvesting and radiative cooling have struggled.
As the adoption of battery electric vehicles (BEVs) continues to rise, analyzing their performance under varying environmental conditions that affect energy consumption has become increasingly important. A critical factor influencing the efficiency of BEVs is the heat loss from the operation and interaction between the vehicle components, such as the battery and motor, and the surrounding temperature. This study presents a comprehensive analysis of the thermal interaction in BEVs by integrating hub motor vehicle and battery electrochemical model with environmental factors. It explores how ambient temperature variations influence the performance of EV components, particularly the motors and battery systems, in both hot and cold weather conditions. The simulations also consider the passenger comfort inside the cabin as it investigates the effects of operating the air-conditioning system on overall energy consumption, revealing significant energy consumption shifts during extreme ambient
Abdullah, MohamedZhang, Xi
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