Browse Topic: Weather and climate

Items (3,834)

Development of Higher Clarity Injection Molded Windscreen for Motorcycles

2024-32-0040

04/18/2025

The windscreen is one of the key elements to enhance passenger comfort of touring motorcycle. The clarity through the windscreen should not discomfort the rider. The discomfort we discuss here mainly refers to three factors: the “distortion,” the “blur,” and the “transparency.” Introduced in this paper is the technical measures to achieve sufficient clarity by the injection molding method. Firstly, with respect to the “distortion,” we determined the main cause was local unevenness of plate thickness. As the uneven thickness were related to the accuracy of the die, we clarified the tolerable zone and carried out higher precision machining of the die to satisfy the requirements. Regarding the “blur,” we analyzed the refractive power of the windscreen and found the main cause of blur is the microscopic roughness on the surface. As the microscopic roughness were attributable to the die surface, we clarified the tolerable zone and established the polishing conditions satisfactory for the

Yamada, Atsushi, Endo, Sakae

Test Method for Catalytic Carbon Brake Disk Oxidation

AIR5567A (Current)

04/14/2025

The scope of the test method is to provide stakeholders including fluid manufacturers, airport operators, brake manufacturers, aircraft constructors, aircraft operators and airworthiness authorities with a relative assessment of the effect of deicing chemicals on carbon oxidation. This simple test is only designed to assess the relative effects of runway deicing chemicals by measuring mass change of contaminated and bare carbon samples tested under the same conditions. It is not possible to set a general acceptance threshold oxidation limit based on this test method because carbon brake stack oxidation is a function of heat sink design and the operating environment.

A-5A Wheels, Brakes and Skid Controls Committee

Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Data

09-13-01-0006

04/12/2025

Hurricane evacuations generate high traffic demand with increased crash risk. To mitigate such risk, transportation agencies can adopt high-resolution vehicle data to predict real-time crash risks. Previous crash risk prediction models mainly used limited infrastructure sensor data without covering many road segments. In this article, we present methods to determine potential crash risks during hurricane evacuation from an emerging alternative data source known as connected vehicle data that contain vehicle speed and acceleration information collected at a high frequency (mean = 14.32, standard deviation = 6.82 s). The dataset was extracted from a database of connected vehicle data for the evacuation period of Hurricane Ida on Interstate-10 in Louisiana. Five machine learning models were trained considering weather features and different traffic characteristics extracted from the connected vehicle data. The results indicate that the Gaussian process boosting and extreme gradient

Syed, Zaheen E Muktadi, Hasan, Samiul

Development of a Rule-Based Lidar Lane-Keeping Assistance System for Autonomous Vehicles Applications

2025-01-8025

04/01/2025

Lane-keeping is critical for SAE Level 3+ autonomous vehicles, requiring rigorous validation and end-to-end interpretability. All recently U.S.-approved level 3 vehicles are equipped with lidar, likely for accelerating active safety. Lidar offers direct distance measurements, allowing rule-based algorithms compared to camera-based methods, which rely on statistical methods for perception. Furthermore, lidar can support a more comprehensive and detailed approach to studying lane-keeping. This paper proposes a module perceiving oncoming vehicle behavior, as part of a larger behavior-tree structure for adaptive lane-keeping using data from a lidar sensor. The complete behavior tree would include road curvature, speed limits, road types (rural, urban, interstate), and the proximity of objects or humans to lane markings. It also accounts for the lane-keeping behavior, type of adjacent and opposing vehicles, lane occlusion, and weather conditions. The algorithm was evaluated using

Soloiu, Valentin, Mehrzed, Shaen, Kroeger, Luke, Pierce, Kody, Sutton, Timothy, Lange, Robin

Spectral Estimation to Quantify Road/Track Surface Degradation

2025-01-8252

04/01/2025

Track testing methods are utilized in the automotive industry for emissions and fuel economy certification. These track tests are performed on smooth road surfaces which deteriorate over time due to wear and weather effects, hence warranting regular track repaves. The study focuses on the impact of repaving on track quality and surface degradation due to weather effects. 1D surface profiles and 2D surface images at different spatial frequencies were measured at different times over a span of two years using various devices to study the repave and degradation effects. Data from coastdown tests was also collected over a span of two years and is used to demonstrate the impact of track degradation and repaving on road load characterization parameters that are used for vehicle certification tests. Kernel density estimation and non-parametric spectral estimation methods are used to visualize the characteristic features of the track at different times. In the pre-processing stage, outliers

Singh, Yuvraj, Jayakumar, Adithya, Rizzoni, Giorgio

A Fault Prediction Model for Electric Vehicle Charging Equipment Based on Adaptive Dynamic Thresholds

2025-01-8117

04/01/2025

The surge in electric vehicle usage has expanded the number of charging stations, intensifying demands on their operation and maintenance. Public charging stations, often exposed to harsh weather and unpredictable human factors, frequently encounter malfunctions requiring prompt attention. Current methods primarily employ data-driven approaches or rely on empirical expertise to establish warning thresholds for fault prediction. While these approaches are generally effective, the artificially fixed thresholds they employ for fault prediction limit adaptability and fall short in sensitivity to special scenarios, timings, locations, and types of faults, as well as in overall intelligence. This paper presents a novel fault prediction model for charging equipment that utilizes adaptive dynamic thresholds to enhance diagnostic accuracy and reliability. By integrating and quantifying Environmental Influence Factors (EF), Scenario Influence Factors (SF), Fault Severity Factors (FF), and

Wang, Hao, Wang, Ning, Li, Yuan, Tang, Xinyue

Dynamic Tailgate Water Management Simulation Using Smoothed Particle Hydrodynamics

2025-01-8625

04/01/2025

Opening a tailgate can cause rain that has settled on its surfaces to run off onto the customer or into the rear loadspace, causing annoyance. Relatively small adjustments to tailgate seals and encapsulation can effectively mitigate these effects. However, these failure modes tend to be discovered relatively late in the design process as they, to date, need a representative physical system to test – including ensuring that any materials used on the surface flow paths elicit the same liquid flow behaviours (i.e. contact angles and velocity) as would be seen on the production vehicle surfaces. In this work we describe the development and validation of an early-stage simulation approach using a Smoothed Particle Hydrodynamics code (PreonLab). This includes its calibration against fundamental experiments to provide models for the flow of water over automotive surfaces and their subsequent application to a tailgate system simulation which includes fully detailed surrounding vehicle geometry

Gaylard, Adrian Philip, Weatherhead, Duncan

The Numerical Study of Methane Flame Characteristics in the Ammonia/Air Environment at Sub-Atmospheric Pressure

2025-01-8450

04/01/2025

The low emission of carbon and minimum level of soot formation in combustion engines and turbines strategy is adopted by many countries to counteract global warming and climate change. The use of ammonia with hydrocarbon fuels can limit the formation of soot and carbon emissions due to non-carbon atoms. The current study explores the use of ammonia with air at coflow flame conditions, which was not tested before. It may give the choice for diesel cycle engines to use the ammonia either with air or fuel. The combustion and emission characteristics of methane coflow flame were studied at low pressure and air polluted by ammonia conditions. The results showed that a significant decline in carbon formation was observed when ammonia was boosted, 5-10%. The impact of sub-atmospheric pressure, 90-70 KPa, on COx development was higher than that of NH3 addition, 0-5%, thanks to the lower formation of hydroxymethylium, formaldehyde, and aldehyde radical. In the environment of lower pressure, the

Hina, Anam, Akram, M Zuhaib, Shafa, Amna, Akram, M Waqar

Meteorological Aspects of the Operational Design Domain – Enhancing Road and Rail Safety and Efficiency through Integrated Wind, Weather, and Motion Sensing Technology

2025-01-8100

04/01/2025

As automotive technology advances, the need for comprehensive environmental awareness becomes increasingly critical for vehicle safety and efficiency. This study introduces a novel integrated wind, weather, and motion sensor designed for moving objects, with a focus on automotive applications. The sensor’s potential to enhance vehicle performance by providing real-time data on local atmospheric conditions is investigated. The research employs a combination of sensor design, vehicle integration, and field-testing methodologies. Findings prove the sensor’s capability to accurately capture dynamic environmental parameters, including wind speed and direction, temperature, and humidity. The integration of this sensor system shows promise in improving vehicle stability, optimizing fuel efficiency through adaptive aerodynamics, and enhancing the performance of autonomous driving systems. Furthermore, the study explores the potential of this technology in contributing to connected vehicle

Feichtinger, Christoph Simon

An Approach for Estimating Contributions of Real-World Factors towards Attained Well-to-Wheels Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles

2025-01-8543

04/01/2025

Plug-in hybrid electric vehicles (PHEVs) conceptually aim to offer the “best of both worlds” of battery-only electric vehicles (BEVs) in terms of utilizing grid electricity to power an appreciable portion of vehicle miles travelled (VMT), as well as long driving range, fast refueling while maintaining excellent fuel economy comparable to regular (non-plug-in) hybrid electric vehicles (HEVs) when travelling longer distances. However, theoretical estimates of greenhouse gas (GHG) emissions from PHEVs rely on several idealization assumptions, any/all of which may not necessarily be realized in the real world. With many real-world factors involved, including daily VMT profile, charging behavior, weather conditions and drive aggressiveness, all of which possibly having complex interactions, quantitative analysis of the contribution of each factor towards the real-world/attained Well-to-wheels (WtW) GHG could become a daunting task. This research proposes an approach for estimating the

Hamza, Karim, Laberteaux, Kenneth, Chu, Kang-Ching

Virtual Evaluation of Ceramic Glow Plug Design using Multiphysics Simulation Approach

2025-01-8367

04/01/2025

A glow plug is generally used to assist the starting of diesel engines in cold weather condition. Low ambient temperature makes the starting of diesel engine difficult because the engine block acts as a heat sink by absorbing the heat of compression. Hence, the air-fuel mixture at the combustion chamber is not capable of self-ignition based on air compression only. Diesel engines do not need any starting aid in general but in such scenarios, glow plug ensures reliable starting in all weather conditions. Glow plug is actually a heating device with high electrical resistance, which heats up rapidly when electrified. The high surface temperature of glow plug generates a heat flux and helps in igniting the fuel even when the engine is insufficiently hot for normal operation. Durability concerns have been observed in ceramic glow plugs during testing phases because of crack formation. Root cause analysis is performed in this study to understand the probable reasons behind cracking of the

Karmakar, Nilankan, Orban, Hatem

Control Trajectory Optimization of Electric Vehicle Heat Pump-Based Cabin Heating System

2025-01-8144

04/01/2025

Optimal control of battery electric vehicle thermal management systems is essential for maximizi ng the driving range in extreme weather conditions. Vehicles equipped with advanced heating, ventilation and air-conditioning (HVAC) systems based on heat pumps with secondary coolant loops are more challenging to control due to actuator redundancy and increased thermal inertia. This paper presents the dynamic programming (DP)-based offline control trajectory optimization of heat pump-based HVAC aimed at maximizing thermal comfort and energy efficiency. Besides deriving benchmark results, the goal of trajectory optimization is to gain insights for practical hierarchical control strategy modifications to further improve real-time controllers’ performance. DP optimizes cabin inlet air temperature and flow rate to set the trade-off between thermal comfort and energy efficiency while considering the nonlinear dynamics and operating limits of HVAC system in addition to typically considered cabin

Cvok, Ivan, Deur, Josko

Numerical Comparison of TPMS Structures for the Design of an Automotive Engine Oil Cooler

2025-01-8155

04/01/2025

Triply Periodic Minimal Surface (TPMS) structures offer the possibility of reinventing structural parts and heat exchangers to obtain higher efficiency and lighter or even multi-functional components. The crescent global climate concern has led to increasingly stringent emissions regulations and the adoption of TPMS represents a resourceful tool for OEMs to downsize and lighten mechanical parts, thereby reducing the overall vehicle weight and the fuel consumption. In particular, TPMS structures are gaining growing interest in the heat exchanger field as their morphology allows them to naturally house two separate fluids, thus ensuring heat transfer without mixing. Moreover, TPMS-based heat exchangers can offer countless possible design configurations. These structures are obtained by periodic repetitions in the three spatial dimensions of a specific unit cell with defined dimensions and wall thickness. By tuning their characteristic parameters, the structure can be tailored to obtain

Torri, Federico, Berni, Fabio, Martoccia, Lorenzo, Marini, Alessandro, Merulla, Andrea, Giacalone, Mauro, Colombini, Giulia

Development of Ceramic Humidity Regulator (CHR) Using Honeycomb Type PTC Heater to Improve Electric Vehicle Driving Range in Winter

2025-01-8177

04/01/2025

With Rapid growth of Electric Vehicles (EVs) in the market challenges such as driving range, charging infrastructure, and reducing charging time needs to be addressed. Unlike traditional Internal combustion vehicles, EVs have limited heating sources and primarily uses electricity from the running battery, which reduces driving range. Additionally, during winter operation, it is necessary to prevent window fogging to ensure better visibility, which requires introducing cold outside air into the cabin. This significantly increases the energy consumption for heating and the driving range can be reduced to half of the normal range. This study introduces the Ceramic Humidity Regulator (CHR), a compact and energy-efficient device developed to address driving range improvement. The CHR uses a desiccant system to dehumidify the cabin, which can prevent window fogging without introducing cold outside air, thereby reducing heating energy consumption. A desiccant system typically consists of two

Hamada, Takafumi, Shinoda, Narimasa, Konno, Yoshiki, Ihara, Yukio, Ito, Masaki

Minimum Performance Standard (MPS) for an Airborne AC to AC Converter

AS6349 (Current)

03/26/2025

This SAE Aerospace Standard (AS) establishes the minimum performance standards for equipment used as secondary alternating current (AC) electrical power sources in aerospace electric power systems.

AE-7B Power Management, Distribution and Storage

Water Spray and High Humidity Endurance Test Methods for AMS1424 and AMS1428 Aircraft Deicing/Anti-Icing Fluids

AS5901E (Current)

03/25/2025

This document establishes the minimum requirements for an environmental test chamber and test procedures to carry out anti-icing performance tests according to the current materials specification for aircraft deicing/anti-icing fluids. The primary purpose for such a test method is to determine the anti-icing performance under controlled laboratory conditions of AMS1424 Type I and AMS1428 Type II, III, and IV fluids.

G-12ADF Aircraft Deicing Fluids

Quantifying the Impact of Electric Vehicles and Distributed Energy Resources on Load Profile Sensitivity: A Comprehensive Analysis

13-06-01-0008

02/27/2025

This research investigates how distributed energy resources (DERs) and electric vehicles (EVs) affect distribution networks. With sensitivity analysis, the research focuses on how these integrations affect load profiles. The research focuses on sizing of various DERs and EV charging/discharging strategies to optimize the load profile, voltage stability, and network loss minimization. System parameters including load profile, EV charging pattern, weather conditions, DER sizes, and electricity pricing are analyzed to quantify their individual and combined impacts on load variability. However, with increased capacity of DERs, network losses increase. A mathematical model with system and operational constraints has been developed and simulated in MATLAB Simulink environment, validation of the proposed approach in improving the load profile, and reduction in network losses, with the intermittent power generation from DERs and EV integration. Simulation result shows that optimal capacity of

Khedar, Kamlesh Kumar, Goyal, Govind Rai, Singh, Pushpendra

Deep Learning-Based Road Spill Detection Technology

2025-01-7130

02/21/2025

Rapid identification and cleanup of road debris are essential for enhancing traffic safety and ensuring unobstructed road conditions. Traditional detection methods often face challenges in accurately identifying debris in complex environments with varying light and weather conditions. To address these limitations, this study proposes a deep learning-based road debris detection method designed for improved accuracy and robustness. First, road images are processed using a semantic segmentation approach to remove background information, isolating only the drivable areas. This segmented region is then subjected to further object detection to filter out typical non-debris objects, such as vehicles, pedestrians, and non-motorized vehicles, thereby retaining a focused image that only contains potential debris or spill objects. Lastly, the processed image is compared to a baseline image to detect differences and identify road debris with high precision. Through these steps, the proposed method

Gao, Xiaofei

Spatio-Temporal Traffic Forecasting with Uncertainty Quantification via Bayesian Graph Convolution

2025-01-7142

02/21/2025

Traffic prediction plays an important role in urban traffic management and signal control optimization. As research in this area advances, traffic prediction has become increasingly accurate. However, the complexity of the traffic system makes the quantification of uncertainty particularly important, as it is influenced by various factors such as weather changes, emergencies and road construction, which lead to the fluctuation and uncertainty of the traffic state. Although some progress has been made in traffic uncertainty quantification, most methods remain primarily focused on individual traffic observation points, with little exploration of the complex spatiotemporal dependencies at the road network level. In light of this situation, this paper proposes a spatiotemporal traffic prediction model based on Bayesian graph convolutional network, which can effectively capture the spatiotemporal dependence in traffic data, facilitating accurate predictions and comprehensive uncertainty

Li, Linfeng, Lin, Limeng

Estimating Extreme Water Levels in Myanmar’s Ayeyarwady Seas by the Monte Carlo Method

2025-01-7181

02/21/2025

Storm surge disasters in the northern Indian Ocean and along the Bay of Bengal pose substantial risks to the safety of lives, property, and industrial trade within Myanmar's Ayeyarwady Region. The absence of long-term tidal data makes traditional frequency analysis methods inadequate for accurately predicting extreme water levels with high return periods. This study utilizes numerical simulations to forecast extreme water levels caused by recurrent cyclonic storm surges along Myanmar's coastline. A combined approach using the Monte Carlo stochastic model and the Delft3D hydrodynamic model was employed for these simulations. The results show that the Delft3D model is effective in predicting tidal levels in engineering contexts, addressing data deficiencies while identifying critical water levels. Model accuracy was validated through extensive simulations, confirming its suitability for forecasting extreme water levels. Although some discrepancies may arise due to limited data

Yin, Kai, He, Liye, Liu, Kaofan, Liu, Shuo, Xu, Sudong

Temperature-Dependent Analysis of the Tire–Road Interaction Characteristics for a Passenger Car Tire Using Finite Element Analysis

15-18-02-0010

02/20/2025

In this article, a finite element analysis for the passenger car tire size 235/55R19 is performed to investigate the effect of temperature-dependent properties of the tire tread compound on the tire–road interaction characteristics for four seasons (all-season, winter, summer, and fall). The rubber-like parts of the tire were modeled using the hyperelastic Mooney–Rivlin material model and were meshed with the three-dimensional hybrid solid elements. The road is modeled using the rigid body dry hard surface and the contact between the tire and road is modeled using the non-symmetric node-to-segment contact with edge treatment. At first, the tire was verified based on the tire manufacturer’s data using numerical finite element analysis based on the static and dynamic domains. Then, the finite element analysis for the rolling resistance analysis was performed at three different longitudinal velocities (10 km/h, 40 km/h, and 80 km/h) under nominal loading conditions. Second, the steady

Fathi, Haniyeh, El-Sayegh, Zeinab, Ren, Jing

Quantifying Hydroplaning Risk: Insights from Water Film Thickness Measurements on Maryland Highways

02-18-02-0010

02/19/2025

Wet pavement conditions during rainfall present significant challenges to traffic safety by reducing tire–road friction and increasing the risk of hydroplaning. During high-intensity rain events, the roadway pavement tends to accumulate water, forming a film that can have serious implications for vehicle control. As the longitudinal speed of the vehicle increases, a water wedge forms in front of the tire, leading to partial loss of contact with the road. At critical hydroplaning speed, a complete water layer forms between the tire and the road. Although less common, dynamic hydroplaning poses severe risks when high-intensity rainfall coincides with high vehicle traveling speed, leading to a complete loss of control over vehicle steering capabilities. This study advances hydroplaning research by integrating real-world data from the Road Weather Information System (RWIS) with an existing hydroplaning model. This approach provides more accurate hydroplaning risk assessments, emphasizing

Vilsan, Alexandru, Sandu, Corina, Anghelache, Gabriel

Operation of Advanced Flying Wing UAV: Examination of Structural Performance under Aberrant Pressure and Thermal Loading Conditions with Integrated Computational Study

2025-28-0060

02/07/2025

The objective of this research is to present a novel variant of an Unmanned Aerial Vehicle (UAV) with an advanced flying wing configuration capable of detecting and rescuing individuals affected by avalanches. This leads to testing of the UAV, to identify if it can operate efficiently at the intended temperature and atmospheric conditions. Typically, UAVs can operate in a broad spectrum of temperatures. Regions prone to avalanches would experience near-cryogenic temperatures. The notion is investigated and tested in this specific scenario. The chosen location is Siachen, where temperatures can become as low as -25 degree Celsius (°C). It has been proven that a thermal camera aids the UAV to detect the distinct body heat signatures of individuals who are trapped under snow. The selection of wing, propeller, and vertical stabilizer airfoils is guided by standard analytical calculations, while the overall model is developed using 3D EXPERIENCE. The computational tests are conducted using

Veeraperumal Senthil Nathan, Janani Priyadharshini, Pisharam, Akhila Ajith, Sourirajan, Laxana, Baskar, Sundhar, Vinayagam, Gopinath, Stanislaus Arputharaj, Beena, L, Natrayan, Sakthivel, Pradesh, Raja, Vijayanandh

Aerospace & Defense Technology: February 2025

25AERP0202/06/2025

The Art of Reverse Engineering Yesteryear for Aerospace and Defense Data Storage Drives Manufacturing Spotlight: Machining Complex Parts and Materials for Space Flight and Exploration Notre Dame's New Boundary Breaking Mach 10 Quiet Wind Tunnel Shape-Shifting Antenna Poised to Transform Communications British Army Completes First Test of Drone Killing Radio Frequency Weapon A Swarm of Sensors, Rovers and Astronauts Explore the 'Moon' Researchers at the German Aerospace Center have developed a new approach to networked communications that could theoretically occur on the Moon or in environments on Earth where conventional communications are unavailable. Army Researchers Examine Nanotechnology for Climate Solutions Army scientists are joining forces with experts from across the nation to tackle the climate crisis using the power of nanotechnology Airman Brings Fuel Sampling Innovation to Eglin, Possibly Air Force The U.S. Air Force is testing a new prototype single point nozzle adapter

Adaptive Localization Algorithm for Autonomous Mining Trucks with Motion Distortion Removal

2025-01-7027

01/31/2025

During the operation of autonomous mining trucks in the process of crushing stones, the GPS signal is lost due to signal blockage by the crushing workshop. Simultaneous Localization and Mapping (SLAM) becomes critical for ensuring accurate vehicle positioning and smooth operation. However, the bumpy road conditions and the scarcity of plane and corner feature points in mining environments pose challenges to SLAM algorithms in practical applications, such as pose jumps and insufficient positioning accuracy. To address this, this paper proposes a high-precision positioning algorithm based on inertial navigation 3D signals, incorporating point cloud motion distortion correction, a vehicle roll model, and an Adaptive Kalman Filter (AKF). The goal is to improve the positioning accuracy and stability of autonomous mining trucks in complex scenarios. This paper utilizes real-world operational data from mining vehicles and adopts a 3D point cloud motion distortion correction algorithm to

Meng, Chunyang, Song, Kang, Xie, Hui, Xing, Wanyong

Research on Thermal Management System of New Energy Vehicles Based on Heat Pump Air Conditioner

2025-01-7005

01/31/2025

With the popularity of electric vehicles, the application development of heat pump type automobile air conditioning system has been focused. Meanwhile, the traditional R134a needs to be replaced by more environmentally-friendly refrigerants under the Kigali Amendment. In this paper, a novel direct expansion heat pump air conditioning system with three circuit switching (DXACS) was proposed, and three low GWP refrigerants R1234yf, R1234ze(E) and R290 were carried out to evaluate the system performance. The results show that the winter range attenuation ratio of DXACS is 26.9%, significantly lower than the prototype EV360 (57.5%); the DXACS with R290 shows the best heating performance, COPh and qcv are 2.3% and 57.3% higher than R134a in extremely cold conditions, respectively. This study provides valuable insights for the development of efficient and green thermal management technology of new energy vehicles.

Zhu, Tengfei, Liu, Ye, Chen, Qinghua

Thermal Management of Electric Heavy-Duty Truck Equipped with Water Source Heat Pump in Winter Condition

2025-01-7010

01/31/2025

The electric heavy-duty truck has been receiving much attention due to its low carbon emission characteristic. This paper presents the winterized design of thermal management for an electric heavy-duty truck. The changes of important parameters in the modes of rapid heating from a cold start battery, cabin defrosting, and cabin heating in winter are discussed based on water source heat pumps. It takes 1300 seconds to warm the battery to 5°C from an ambient temperature of -10°C. Under the same heat production condition, the proposed water source heat pump can save 28.2% energy comparing with the air source heat pump, the cabin air conditioner air outlet can stay above 40°C for more than 5 minutes, and the cabin temperature can be stabilized at 20°C to meet the heating demand of the crew in winter.

Yu, Bo, Dai, Huwei, Lin, Jiewei, Han, Feng, Jiang, Feifan, Zhang, Junhong

Improving the Carbon Footprint of Long-Haul Trucks Running on First-Generation Biodiesel

2025-01-5007

01/27/2025

Lowering carbon emissions from road-based transport is required to achieve climate targets. In addition to passenger cars, long-haul trucks contribute more than one-third of on-road generated carbon emissions. Therefore, this sector has great potential to reduce such emissions. Numerous options including electrified drivetrains are possible. Nevertheless, the existing fleet of trucks powered by conventional diesel engines also needs to be addressed. Additionally, a ramp-up of green electricity and charging infrastructure is required to ensure carbon-neutral and reliable transport. Heavy-duty diesel engines are typically suitable for use with first-generation biofuels. However, operational restrictions, such as shorter oil drain intervals are mandatory for users. In the case at hand, the oil change was mandatory after only 30,000 km when pure biodiesel (B100) was used instead of 120,000 km when operating on conventional, mineral oil-based diesel. These boundaries counter efforts to

Rohbogner, Christoph J., Heine, Carsten

Children’s Snowmobile

J1038_202501 (Current)

01/21/2025

This SAE Standard establishes the test procedures, performance requirements, and criteria necessary to evaluate minimum safety and reliability requirements of a children’s snowmobile as identified in 1.2.

Snowmobile Technical Committee

Analysis of the Characteristics of Hybrid Vehicles and Low-Viscosity Lubricating Oil Based on Real Road Tests in Four Extreme Environments

04-18-02-0009

01/07/2025

As countries around the world attach more importance to carbon emissions and more stringent requirements are put forward for vehicle emissions, hybrid vehicles, which can significantly reduce emissions compared with traditional fuel vehicles, as well as low-viscosity lubricating oil, have become significant trends in the industry. In this article, a total of nine vehicles of 48 V mild-hybrid models and full-hybrid models are tested. Using three kinds of low-viscosity lubricating oil and driving a total of 120,000 km in environments with low temperature, high humidity, high temperature, or high altitude, the engines are then disassembled and scored. The effects of the four extreme environments on the engine starts–stops, ignition advance angle, engine power, state of charge (SOC), acceleration performance, and oil consumption characteristics of hybrid vehicles are studied; the oxidation characteristics and iron content change characteristics of low-viscosity lubricating oil are analyzed

Zhu, Gezhengting, Hu, Hua, Pan, Jinchong, Luo, Yitao, Hua, Lun, Jiao, Yan, Jiang, Jiandi, Shao, Heng, Xu, Zhengxin, Yan, Jingfeng, Wei, Guangyuan, Zhang, Heng

Hydrogen as a Fuel Cell: A Comparative between the Gas and Liquid State and Storage

2024-36-0128

12/20/2024

It is emerging the need to take action to reduce the greenhouse effect, which is one of the major causes of climate change and environmental disasters that has been occurring frequently in recent decades throughout the planet. The burning of fossil fuels for electricity and energy generation are the main concerns and those that have greater incentives for its reduction, as its by-product of the reaction of burning CO2, which among the greenhouse gases is primarily responsible for its aggravation. The transport sector excels in CO2 emissions, emits about 20% of gas, according to the Intergovernmental Panel on Climate Change (IPCC), a scientific organization linked to the United Nations (UN). A promising solution to reduce the impact of this sector would be the use of hydrogen fuel cell, which if carried out through renewable energies, the electrolysis of hydrogen has zero CO2 emission throughout the cycle. However, one of the biggest challenges to make viable the use of hydrogen as fuel

Alves, Joyce, Silva, Antônio, Paterlini, Bruno, Santos, Felipe, Pedroso, Henrique, Henrique, Pedro, Milani, Pedro

Hierarchical-Level Rain Image Generative Model Based on GAN

2024-01-7034

12/13/2024

Visual perception systems for autonomous vehicles are exposed to a wide variety of complex weather conditions, among which rainfall is one of the weather conditions with high exposure. Therefore, it is necessary to construct a model that can efficiently generate a large number of images with different rainfall intensities to help test the visual perception system under rainfall conditions. However, the existing datasets either do not contain multilevel rainfall or are synthetic images. It is difficult to support the construction of the model. In this paper, the natural rainfall images of different rainfall intensities were first collected and produced a natural multilevel rain dataset. The dataset includes no rain and three levels (light, medium and heavy) of rainfall with the number of 629, 210, 248 and 193 respectively, totaling 1280 images. The dataset is open source and available online via: https://github.com/raydison/natural-multilevel-rain-dataset-NMRD. Subsequently, a

Liu, Zhenyuan, Jia, Tong, Xing, Xingyu, Wu, Jianfeng, Chen, Junyi

Cracking Activity and Characterization of Magnesium Titanium Dioxide - Silicon Dioxide Catalysts

2024-01-5241

12/10/2024

Purified nickel and a large number of MgTi2 / NiO2 catalysts with various MgTi2 loadings were produced using the traditional incipient wetness method. X-ray crystallography and Fourier-transform infrared spectroscopy were used to examine the catalysts. To understand the material's microstructure better, the researchers investigated oxygen adsorption at 90K. The amine titration method was used to investigate the acidic characteristics of these catalysts. In a study on cumene cracking, these catalysts were employed. The catalyst was found to be amorphous up to a loading of 12 weight percent MgTi2, but at higher loadings, crystalline MgTi2 phase formed on an amorphous silica substrate. When NiO2 is doped with more MgTi2, there are significant differences in the structure, surface acidity, and catalytic activity of the catalysts. Catalysts with a higher MgTi2 loading are noticeably more acidic than those with a lower MgTi2 loading. A correlation between the amount of cracking activity and

Ashok Kumar, B., Dhiyaneswaran, J., Selvaraj, Malathi, Pradeepkumar, M., Shajeeth, S.

A Predictive Controller for Battery Cooling and Air-Conditioning Systems to Tackle the Comfort-Safety-Efficiency Dilemma

2024-28-0147

12/05/2024

The advent of electric vehicles has increased the complexity of air conditioning systems in vehicles which now must maintain the safety and comfort of occupants while ensuring that the high voltage battery temperature is kept within safe limits. This new task is critical due to the influence of the cell and battery pack temperature on the efficiency. Moreover, high temperatures within the battery pack can lead to undesirable effects such as degradation and thermal runaway. Classical solutions to this problem include larger air conditioning components to support worst case scenario conditions where the cooling request from the battery and the cabin happen at the same time. In such conditions, for the safety of the battery, the cooling request is assigned to battery system which may cause discomfort to the passengers due the significant temperature increase in the cabin during such events. The probability of such events happening is certainly dependent on the weather conditions but in

Palacio Torralba, Javier, Kulkarni, Shridhar Diliprao, Shah, Geet, Jaybhay, Sambhaji, Kapoor, Sangeet, Locks, Olaf

Virtual Recording Generation Using Generative AI and Carla Simulator

2024-28-0261

12/05/2024

To establish and validate new systems incorporated into next generation vehicles, it is important to understand actual scenarios which the autonomous vehicles will likely encounter. Consequently, to do this, it is important to run Field Operational Tests (FOT). FOT is undertaken with many vehicles and large acquisition areas ensuing the capability and suitability of a continuous function, thus guaranteeing the randomization of test conditions. FOT and Use case(a software testing technique designed to ensure that the system under test meets and exceeds the stakeholders' expectations) scenario recordings capture is very expensive, due to the amount of necessary material (vehicles, measurement equipment/objectives, headcount, data storage capacity/complexity, trained drivers/professionals) and all-time robust working vehicle setup is not always available, moreover mileage is directly proportional to time, along with that it cannot be scaled up due to physical limitations. During the early

Sehgal, Vishal, Sekaran, Nikhil

Best Practices in Sensor Selection for Object Detection in Autonomous Driving: A Practitioner’s Perspective

2024-28-0218

12/05/2024

Object detection (OD) is one of the most important aspects in Autonomous Driving (AD) application. This depends on the strategic sensor’s selection and placement of sensors around the vehicle. The sensors should be selected based on various constraints such as range, use-case, and cost limitation. This paper introduces a systematic approach for identifying the optimal practices for selecting sensors in AD object detection, offering guidance for those looking to expand their expertise in this field and select the most suitable sensors accordingly. In general, object detection typically involves utilizing RADAR, LiDAR, and cameras. RADAR excels in accurately measuring longitudinal distances over both long and short ranges, but its accuracy in lateral distances is limited. LiDAR is known for its ability to provide accurate range data, but it struggles to identify objects in various weather conditions. On the other hand, camera-based systems offer superior recognition capabilities but lack

Maktedar, Asrarulhaq, Chatterjee, Mayurika

Addressing the Energy Challenge with Vehicle-to-Grid Power

TBMG-52055

11/14/2024

It’s common knowledge that a major challenge for solar energy is how to store excess energy produced when conditions are right, like noon-time sun, so that it can be used later. The usual answer is batteries. But renewable energy resources are causing problems for the electricity grid in other ways as well. In a warm, sunny location like California, mid-afternoon had been a time of peak demand for the electric utility, but with solar it’s now a time of peak output.

The Implications of Surface Friction on Snowsport Helmet Oblique Impact Kinematics

09-12-02-0017

11/12/2024

Head injuries account for 15% of snowsport-related injuries, and the majority of head impacts occur against ice or snow, low-friction surfaces. Therefore, this study aimed to evaluate how surface friction affects snowsport helmets’ oblique impact kinematics. Ten helmet models were impacted using an oblique drop tower with a 45-degree anvil and NOCSAE headform, at three locations, two surface friction conditions, and a drop speed of 5.0 m/s. Our findings indicate that friction affects peak linear acceleration, peak rotational acceleration, and peak rotational velocity during helmet impacts, with changes in post-impact rotation and impact response varying by location. Surface friction affects head impact kinematics, underscoring the need for sport-specific lab testing and emphasizing the need for friction-specific and sport-specific testing, particularly for snowsports, where surface conditions like snow and ice can alter kinematics.

Stark, Nicole E.-P., Calis, Andrew, Wood, Matthew, Piwowarski, Summer Blue, Dingelstedt, Kristin, Begonia, Mark, Rowson, Steve

High-Load Operating Characteristics of Planar Membrane Humidifiers of Polymer Electrolyte Membrane Fuel Cell Systems for Heavy-Duty Applications

2024-01-4323

11/05/2024

To gain high efficiencies and long lifetimes, polymer electrolyte membrane fuel cell systems require precise control of the relative humidity of the cathode supply air. This is usually achieved by the use of membrane humidifiers. These are passive components that transfer the product water of the cathode exhaust air to humidify the supply air. Due to the passive design, controllability is achieved via a bypass. It is possible to use map-based control strategies to avoid the use of humidity sensors. Such map-based control requires deep insights into the humidifier behavior in all possible thermodynamic operating states, including various water loads. This paper focuses on typical operating conditions of heavy-duty application at high load, specifically on the occurrence of liquid water in the cathode exhaust gas, which has not been sufficiently investigated in the literature yet. In order to simulate these conditions, we built a test rig with an optically accessible single-channel set

Mull, Sophie, Weiss, Lukas, Wensing, Michael

Advancing Fuel Cell Testing Environments: Overcoming Limitations in Conventional Humidification Methods

2024-01-4321

11/05/2024

In the field of polymer electrolyte membrane fuel cells (PEMFC), significant research has focused on the membrane electrode assembly (MEA) and electrochemical characterization methods. For real applications optimizing the fuel cell system (FCS) design is essential, requiring careful monitoring of electrochemical and thermodynamic process parameters such as pressure, temperature, relative humidity, heat flux, and gas composition. These operating conditions, provided by balance of plant (BoP) components, significantly impact FCS efficiency, especially relative humidity, which demands high energy input. The first step in a system development involves comprehensively characterizing the MEA by mapping a wide range of operating parameters, not just peak performance points, which are not necessarily the most beneficial for the FCS. This requires precise and dynamic adjustments of process parameters during testing to capture all relevant data efficiently. Currently available test stands lack

Braun, Katharina, Luetzenkirchen, Johanna, Weiss, Lukas, Wensing, Michael

Effect of Fuel Chemical Structure on Soot Formation in Sustainable Aviation Fuels

2024-01-4310

11/05/2024

Sustainable Aviation Fuels (SAFs) offer great promises towards decarbonizing the aviation sector. Due to the high safety standards and global scale of the aviation industry, SAFs pose challenges to aircraft engines and combustion processes, which must be thoroughly understood. Soot emissions from aircrafts play a crucial role, acting as ice nuclei and contributing to the formation of contrail cirrus clouds, which, in turn, may account for a substantial portion of the net radiative climate forcing. This study focuses on utilizing detailed kinetic simulations and soot modeling to investigate soot particle generation in aero-engines operating on SAFs. Differences in soot yield were investigated for different fuel components, including n-alkanes, iso-alkanes, cycloalkanes, and aromatics. A 0-D simulation framework was developed and utilized in conjunction with advanced soot models to predict and assess soot processes under conditions relevant to aero-engine combustion. The simulations

Yi, Junghwa, Manin, Julien, Wan, Kevin, Lopez Pintor, Dario, Nguyen, Tuan, Dempsey, Adam

New Computer Vision-Based System Monitors Seasonal Dynamics of Tropical Water

TBMG-51917

11/01/2024

Understanding how water moves and changes around the world is more important than ever due to climate change but monitoring inland water in the tropics is not easy. Most satellites are optical and simply take photos of surfaces. They cannot see through the thick cloud cover and dense vegetation that conceal the rivers, lakes, and wetlands below.

Prediction of Water Film Thickness Due to Condensation over Instrument Cluster Based on Eulerian Wall Film Approach of Computational Fluid Dynamics

2024-28-0009

10/17/2024

This paper investigates the condensation within a two-wheeler instrument cluster in different weather conditions. Instrument cluster have high heating components within its assembly particularly over Printed Circuit Board (PCB) which leads to formation of condensation. Air breathers are important component that can be utilized to reduce the condensation in the cluster. Location and orientation of air breather and air vents plays the vital role in the air flow through the instrument cluster. In this study, number of breathers, their location and orientation are optimized to reduce the condensation or film thickness on the crystal (transparent body) of cluster. Transient Computational Fluid Dynamics (CFD) based Eulerian Wall Film approach is utilized to investigate the physics administering the condensation phenomenon in the instrument cluster. Experimental tests are conducted to investigate condensation phenomenon actually occurring in the model. Similar results are found by employing

Jamge, Nagesh, Shah, Viren, Kushari, Subrata, Miraje, Jitendra, D, Suresh

Enhancing Availability of Autonomous Shuttle Services: A Conceptual Approach toward Challenges and Opportunities

12-08-03-0023

10/09/2024

Autonomous vehicle technologies have become increasingly popular over the last few years. One of their most important application is autonomous shuttle buses that could radically change public transport systems. In order to enhance the availability of shuttle service, this article outlines a series of interconnected challenges and innovative solutions to optimize the operation of autonomous shuttles based on the experience within the Shuttle Modellregion Oberfranken (SMO) project. The shuttle shall be able to work in every weather condition, including the robustness of the perception algorithm. Besides, the shuttle shall react to environmental changes, interact with other traffic participants, and ensure comfortable travel for passengers and awareness of VRUs. These challenging situations shall be solved alone or with a teleoperator’s help. Our analysis considers the basic sense–plan–act architecture for autonomous driving. Critical components like object detection, pedestrian tracking

Dehghani, Ali, Salaar, Hamza, Srinivasan, Shanmuga Priya, Zhou, Lixian, Arbeiter, Georg, Lindner, Alisa, Patino-Studencki, Lucila

Mercedes: H2-ICE is a viable path for commercial trucks

24TOFHP10_07

10/01/2024

Mercedes-Benz has unveiled a pair of prototypes powered by hydrogen combustion engines that were created in collaboration with Mörtlbauer Baumaschinen Vertriebs. The prototypes are part of the “WaVe” development project to research hydrogen combustion engines for special-purpose vehicles. The WaVe project is a publicly funded program by Germany's Federal Ministry for Economic Affairs and Climate Action. It consists of 18 partners ranging from industry and science experts and began in July 2021. Development work on the prototypes began in mid-2022. The main objective of the WaVe project was to develop a hydrogen-based drive system for working machines that demonstrated the practicality of replacing diesel-fueled trucks.

Wolfe, Matt

Algorithms to Enhance Reliability of Electric Vehicle Charging

TBMG-51677

10/01/2024

American drivers have long been accustomed to quickly filling up at a gas station with plenty of fuel available, and electric vehicle drivers want their pit stops to mimic this experience. Driver uncertainty about access to charging during long trips remains a barrier to broader EV adoption, even as the U.S. strives to combat climate change by converting more drivers.

Active Management of Energy Source in a Fuel Cell Electric Vehicle Considering Air Contaminants along the Route

2024-28-0050

09/19/2024

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, Adithya, Shah, Saurabh, Choubey, Ayush, Barik, Madhusmita, Mallappanavar, Babu, Prasad P, Shilpa

Cabin Heating Modelling and Simulation for ICE and EVs through 1D CAE

2024-28-0107

09/19/2024

India features diverse climatic zones, spanning from tropical in south to alpine in north. Since most of the regions are hot, vehicle cabin cooling analysis dominates over heating analysis, creating a notable technology gap that exists in cabin heating. Nonetheless, in colder regions of India and Europe, maintaining optimal cabin heating is crucial for human comfort. Furthermore, in climates prone to mist and frost formation, ensuring the accuracy and effectiveness of cabin heating mechanisms becomes crucial, as it directly correlates with safety considerations that comes prior to mere comfort requirements. To reduce the technology gap and physical testing in cold climatic conditions this work is proposed, which will enable us to predict cabin heating performance of vehicle on highway running as well as in stationary condition for Electric Vehicles (EV) and Internal Combustion Engine Vehicles (ICEV) in 1D Computer Aided Engineering (CAE) software. A detailed Transient Cabin Heating

Soni, Rahul, Shah, Geet, Kulkarni, Shridhar, M, Chandru, Vangala, Sai Krishna, Jaybhay, Sambhaji, Nayakawadi, Uttam

A Study to Establish an Evaluation Method for Selecting Suitable Packing Adhesives for A/C Ducts to Ensure Sustained Adhesiveness in Thermal and Condensation Conditions over the Vehicle's Lifetime

2024-28-0096

09/19/2024

The purpose of air conditioning (AC) duct packing is multifaceted, serving to prevent condensation, eliminate rattle noise, and provide thermal insulation. A critical aspect of duct packing is its adhesive quality, which is essential for maintaining the longevity and effectiveness of the packing's functions. Indeed, the challenge of achieving adequate adhesivity on AC ducting parts is significant due to the harsh operating conditions to which these components are subjected. The high temperatures and presence of condensation within the AC system can severely compromise the adhesive's ability to maintain a strong bond. Moreover, the materials used for these parts, such as HDPE, often have low surface energy, which further hinders the formation of a durable adhesive bond. The failure of the adhesive under these conditions can lead to delamination of the duct packing, which can result in customer inconvenience due to rattling noises, potential electrical failures if condensed water

M, Amala Rajesh, Sonkar, Surabhi, Kumar, Mukesh

Techno-Economic Analysis of Mobile Carbon Capture for Heavy Duty Applications

2024-24-0037

09/18/2024

Since signing the legally binding Paris agreement, fighting climate change has been an increasingly important task worldwide. One of the key energy sectors to emit greenhouse gases is transportation. Therefore, long term strategies all over the world have been set up to reduce on-road combustion emissions. One of the emerging alternative technologies to decarbonize the transportation sector is Mobile Carbon Capture (MCC). MCC refers to the on-board separation of CO2 from vehicle exhaust. To accurately assess this technology, a techno-economic analysis is essential to compare MCC abatement cost to alternative decarbonization technologies such as electric trucks. Adding to the system capital and operational costs, our study includes mass penalty costs, CO2 offloading and transport costs for different transport scenarios. To better relate to a single consumer (driver), the cost can be converted from euro per-tCO2 to euro per-trip or euro per-mile. A sensitivity analysis is then conducted

SAAFI, Mohamed Ali, Hamad, Esam

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