Browse Topic: Electrical, Electronics, and Avionics

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Analysis Techniques for Racecar Data Acquisition [mms update 07.03.25]R-367To be published on 03/22/2099
Data acquisition has become an invaluable tool for establishing racecar - and car/driver - performance. Now that the ability exists to analyze each and every performance parameter for car and driver, accurate use of this data can provide a key advantage on the racetrack. This book provides a thorough overview of the varied methods for analyzing racecar data acquisition system outputs, with a focus on vehicle dynamics.
Segers, Jorge
Cover Assembly, Electrical, for MS27212 Terminal Board AssemblyAS18029E (Current)10/02/2025
Scope is unavailable.
AE-8C2 Terminating Devices and Tooling Committee
On-Board Diagnostics Implementation GuideJ1939/03_202510 (Current)10/01/2025
SAE J1939-03 provides requirements and guidelines for the implementation of on-board diagnostics (OBD) on heavy duty vehicles (HDV) using the SAE J1939 family of standards. The guidelines identify where the necessary information to meet OBD regulations may be found among the SAE J1939 document set. Key requirements are identified here to ensure the interoperability of OBD scan tools across individual OBD-compliant vehicles.Market-defined regulations permit the use of SAE J1939 to meet OBD requirements. Implementers are cautioned to obtain and review the specific regulations for the markets where their products are sold. This document is focused on guidelines and requirements to satisfy the State of California Air Resources Board (CARB), the authors of 13 CCR 1971.1, United States Environmental Protection Agency, Euro IV and V requirements from European Commission directives, and UN/ECE WP 29 GRPE WWH OBD Global Technical Regulation (GTR).
Truck Bus Control and Communications Network Committee
Loss Budget Specification for Fiber Optic LinksAS5750B (Current)10/01/2025
This document defines a quantified means of specifying a digital fiber optic link loss budget: - Between end users and system integrators - Between system integrators and subsystem suppliers - Between subsystem suppliers and component vendors The standard specifies methods and the margin required for categories of links.
AS-3 Fiber Optics and Applied Photonics Committee
LIN Network for Vehicle ApplicationsJ2602-1_202510 (Current)10/01/2025
This document covers the requirements for SAE implementations based on ISO 17987:2016. Requirements stated in this document will provide a minimum standard level of performance to which all compatible ECUs and media shall be designed. This will assure full serial data communication among all connected devices regardless of supplier.The goal of SAE J2602-1 is to improve the interoperability and interchangeability of LIN devices within a network by adding additional requirements that are not present in ISO 17987:2016 (e.g., fault tolerant operation, network topology, etc.).The intended audience includes, but is not limited to, ECU suppliers, LIN controller suppliers, LIN transceiver suppliers, component release engineers, and vehicle system engineers.The term “master” has been replaced by “commander” and term “slave” with “responder” in the following sections.
Vehicle Architecture For Data Communications Standards
Terminal Board Assembly, Molded-in-Stud, ElectricAS27212E (Current)09/29/2025
Scope is unavailable.
AE-8C2 Terminating Devices and Tooling Committee
jms softwarejms-software109/25/2025
jms software
Testing ARP Spec 07212025 (with alternateExternalId)ARP07212025-01-ALT_EXTERNAL_ID (Current)07/21/2025
Testing ARP Spec 07212025 (with alternateExternalId)
A-5 Aerospace Landing Gear Systems Committee
Testing AS Spec 07212025 (without alternateExternalId)AS-07212025 (Current)07/21/2025
Testing AS Spec 07212025 (without alternateExternalId)
AMS CE Elastomers Committee
SAE TOMORROW TODAY - Smarter Automotive Testing with AI and Simulation1352207/03/2025
The new test track isn't asphalt--it's AI and simulation. From hardware-in-the-Loop (HIL) to real-time performance analytics, new innovations are reshaping how vehicles are designed, validated, and brought to market. At the forefront of this transformation is A&D Technology, a leader in integrated test automation and lab management solutions for the transportation and energy markets. By integrating AI-driven analytics with high-fidelity simulation environments, the company is empowering automotive engineers to streamline testing workflows, reduce physical prototypes, and accelerate innovation in everything from EV powertrains to autonomous systems. To learn more, we sat down with Mike Uhl, President & CEO, to discuss how A&D Technology's work in simulation and test automation is helping engineers bring the next generation of mobility technologies to life. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget
Hineman, Marcie
SAE TOMORROW TODAY - The Hidden Role of Battery Vents in EV Safety and Adoption1351906/12/2025
One failure can reshape public trust in EVs overnight. That's why every detail matters--and why collaboration across the entire EV ecosystem is critical. Even small components like battery pack vents play an outsized role in preventing thermal runaway events, explosions, and fires. The SAE Battery Pack Venting Committee understands this challenge and answered the call with the new SAE J3325(TM) Technical Information Report a guide to designing, testing, and integrating battery vents that perform when it matters most. To dive deeper, we spoke with Dr. Michael Harenbrock, Principal Expert of Electric Mobility at MANN+HUMMEL GmbH, and chair of the SAE Battery Pack Venting Committee about how SAE J3325 is helping engineers enhance EV battery safety--and how their work evolves to keep pace with emerging ventilation technologies and trends. Want to help shape the future of EV safety? Join an SAE Committee today! Contact Standards Specialist Dante Rahdar at dante.rahdar@sae.org. We'd love to
Hineman, Marcie
SAE TOMORROW TODAY - Removing Roadblocks to Fleet Electrification1351806/07/2025
What does it really take to electrify America's fleets? From skyrocketing insurance rates to policy risks to reduced incentives, the market dynamics are complex. Enter Electrada, a Cincinnati-based EV infrastructure company revolutionizing how fleets transition to clean energy. As the developer, owner, and operator of electric fueling assets, Electrada offers a unique 360 Charging-as-a-Service (CaaS) model that delivers zero capital investment, 99%+ uptime, predictable pricing, and expert management. Serving all fleet types across multiple transportation sectors, Electrada designs fully tailored, long-term EV charging solutions that reduce cost per mile from day one with no operational disruptions or price risk. Listen in as we sit down with Kevin Kushman, CEO of Electrada, to discuss the challenges and opportunities in the North American fleet electrification market. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org
Hineman, Marcie
testing revision status on details pageCUR1513-jms306/03/2025
cur1580
Heavy-Duty Electric Vehicle Charging Consortium, Automated Vehicle Safety Consortium, International Alliance for Mobility Testing Standardization
SAE TOMORROW TODAY - Riding the EV Wave With Smarter Batteries1351705/29/2025
As OEMs race to deliver new vehicle lineups with greater speed and efficiency, the industry finds itself navigating a complex crossroads between full EVs and hybrid models. That's where ENNOVI steps in. With a focus on smarter battery management and cutting-edge electrical architecture, ENNOVI is staying agile--offering the right product mix to help OEMs and suppliers ride the wave of electrification, battery technology improvements, and market shifts without missing a beat. Listen in as we sit down with Ron Puhl, Global Director of Engineering and Product Portfolio, to discuss how ENNOVI's Current Collector System (CCS) is helping to improve the overall package size of batteries while reducing costs. It's a unique discussion with deep insight into consumer EV demand and industry trends. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we
Hineman, Marcie
SAE TOMORROW TODAY - How Autonomy is Breathing New Life into Farming1351505/16/2025
Labor shortages are pushing many family farms to the brink. The solution? Autonomous technology which is emerging as a game-changer--boosting productivity, cutting risk, and giving family farms a fighting chance to thrive for generations to come. At the forefront of this transformation is Blue River Technology, a John Deere subsidiary leading the charge in precision agriculture. From AI-driven tools to autonomous machinery, the company is helping to build the future of farming the John Deere way, meeting farmers in the field and designing solutions grounded in real-world challenges. With safety and scalability built in, farmers can start small with retrofit kits that upgrade existing tractors, making automation more accessible than ever. To learn more, we caught up with Aaron Wells, Director of Engineering at Blue River, to explore how automation is transforming agriculture and giving farmers the tools they need to stay ahead--despite labor challenges. We'd love to hear from you. Share
Hineman, Marcie
INSTALLING AND REMOVAL TOOLS, CONNECTOR ELECTRICAL CONTACT, TYPE II, CLASS 1, COMPOSITION CAS81969/19B (Current)05/02/2025
AE-8C2 Terminating Devices and Tooling Committee
CRIMP TOOLS, TYPE 1, TERMINAL, HAND, OR POWER ACTUATED, WIRE TERMINATION, PNEUMATIC TOOL FOR WIRE BARREL SIZES 8 THROUGH 0000AS22520/23C (Current)05/02/2025
AE-8C2 Terminating Devices and Tooling Committee
SAE TOMORRO TODAY BRIEFS - Scaling Software-Defined EV Fleets1351204/24/2025
When it comes to electrifying commercial vehicle fleets, one company offers a transformative modular platform that can drastically reduce the time to market. REE Automotive is a publicly traded company that designs and manufactures advanced software-defined vehicles (SDVs) that are fully electric, capable of autonomy, and compatible with existing fleet management software. The company recently began production on its first medium-duty truck for the US market and has since seen a 230% growth in reservations, indicating strong customer interest and positive feedback. To learn more, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, recently sat down with Daniel Barel, CEO, and Pete Dow, VP of Engineering, to discuss REE Automotive's revolutionary approach to scaling software-defined commercial EV fleets. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There, you can check out our podcast on the state of NEVI
Hineman, Marcie
Quantitative Analysis of a Hybrid Electric HMMWV for Fuel Economy Improvement2024-01-335604/23/2025
ABSTRACT This paper presents a quantitative analysis and comparison of fuel economy and performance of a series hybrid electric HMMWV (High Mobility Multi-purpose Wheeled Vehicle) military vehicle with a conventional HMMWV of equivalent size. Hybrid vehicle powertrains show improved fuel economy gains due to optimized engine operation and regenerative braking. In this paper, a methodology is presented by which the fuel economy gains due to optimized engine are isolated from the fuel economy gains due to regenerative braking. Validated vehicle models as well as data collected on test tracks are used in the quantitative analysis. The regenerative braking of the hybrid HMMWV is analyzed in terms of efficiency from the kinetic energy at the wheels to the portion of regenerative power which is retrievable by the battery. The engine operation of both the series hybrid and conventional HMMWV are analyzed using a 2-D bin analysis methodology. Finally, the vehicle model is used to make
Nedungadi, Ashok, Masrur, Abul, Khalil, Gus
BALL BEARINGS.06000204/23/2025
HESS, HENRY
Basic Science and Art of Aircraft Wreckage ReconstructionR-48004/23/2025
Basic Science and Art of Aircraft Wreckage Reconstruction is a unique title which addresses important aspects of investigating crashes, who does this kind of work, and how a healthy attitude and open mind are required to properly perform investigations. It also discusses what to expect from the on-scene part of the investigation, and the fundamental approaches to common types of wreckage reconstruction. Written by Don Knutson, a veteran of this industry, Basic Science and Art of Aircraft Wreckage Reconstruction is intended for the practitioner, student, or those who are simply curious about how aircraft wreckage is reconstructed. Full references are provided in the various chapters for additional reading and research. Many examples of aircraft crash scenarios and circumstances are presented in a "generic" form but relate to actual investigations, which should prove as a useful investigative resource whether you are an apprentice or an experience professional with a government aviation
Knutson, Donald F.
Traction Voltage Level in Two-Wheelers: Considerations on Safety and Performance2024-32-006204/18/2025
Most electric 2-wheelers on the market today seek to replace combustion engine vehicles from 50cc to 150cc which equates to an electric motor power between 2 and 12 kW. The traction voltage level of these vehicles is mostly between 44V and 96V. However, the actual choice of voltage on a specific vehicle seems to be arbitrary and higher voltage does not necessarily correlate with higher motor power. This paper seeks to highlight considerations and tradeoffs which feed the choice of traction voltage levels. Important criteria are electrical safety standards and their impact on vehicle electrical architecture, the performance and availability of key electronics parts such as capacitors, MOSFETs, and gate drivers, while also highlighting functional safety aspects. This paper shows by a comprehensive analysis of the motor drive that for the vehicle class mentioned above the traction voltage level can be kept below 60V without any performance impact, while also ensuring electrical and
Schmitt, Stefan
3D-CFD Simulations of H2 ICEs: A Preliminary Evaluation of a Laminar Flame Speed Correction for Thermo-Diffusive Instability2024-32-007404/18/2025
In recent years, climate change and geopolitical instability have intensified the focus on sustainable power generation. This shift seeks alternatives that balance environmental impact, cost-effectiveness, and practicality. Specifically, in transportation and power generation, electric motors face challenges against internal combustion engines due to the high cost and mass of batteries required for energy storage. This makes electric solutions less favorable for these sectors. Conversely, internal combustion engines, when properly fueled, offer cost-effectiveness and a quasi-environmentally-neutral option. To address these challenges, researchers have explored e-fuels derived from renewable sources as a carbon-neutral supply for internal combustion engines. Among these, hydrogen is particularly promising. In hydrogen-powered internal combustion engines, 3D-CFD (Computational Fluid Dynamics) in-cylinder models are crucial. Once validated, these models can speed up the design process. A
Sfriso, Stefano, Berni, Fabio, Breda, Sebastiano, Fontanesi, Stefano, Cordisco, Ilario, Leite, Caio Ramalho, Brequigny, Pierre, Foucher, Fabrice
Statistical Analysis of Data Acquired from Propagating Flames in Gasoline Engines Using a Multiple Ion Probe2024-32-003504/18/2025
Multiple-ion-probe method consists of multiple ion probes placed on the combustion chamber wall, where each individual ion probe detects flame contact and records the time of contact. From the recorded data, it is also possible to indirectly visualize the inside of the combustion chamber, for example, as a motion animation of moving flame front. In this study, a thirty-two ion probes were used to record flames propagating in a two-stroke gasoline engine. The experiment recorded the combustion state in the engine for about 3 seconds under full load at about 6500 rpm, and about 300 cycles were recorded in one experiment. Twelve experiments were conducted under the same experimental conditions, and a total of 4,164 cycles of signal data were obtained in the twelve experiments. Two types of analysis were performed on this data: statistical analysis and machine learning analysis using a linear regression model. Statistical analysis calculated the average flame detection time and standard
Yatsufusa, Tomoaki, Okahira, Takehiro, Nagashige, Kohei
Study on Motorcycle Rider Model Using Reinforcement Learning - Learning Examples Including Following Target Velocity and Basic Research on Rider Proficiency2024-32-002804/18/2025
In this study, an initial approach using deep reinforcement learning to replicate the complex behaviors of motorcycle riders was presented. Three learning examples were demonstrated: following a target velocity, maintaining stability at low speeds, and following a target trajectory. These examples serve as a starting point for further research. Additionally, the proficiency of the constructed models was examined using rider proficiency evaluation methods developed in previous studies. Initial results indicated that the models have the potential to mimic real rider behaviors; however, challenges such as differences between the model’s output and what humans can produce were also identified for future work.
Mitsuhashi, Yasuhiro, Momiyama, Yoshitaka, Yabe, Noboru
Fuel Film Measurement in a SI Gasoline Engine Using a Newly Developed MEMS Sensor2024-32-007104/18/2025
The previously developed capacitance sensor for detecting a liquid fuel film was modified to apply to the in-cylinder measurement. On the developed sensor surface, comb-shaped electrodes were circularly aligned. The capacitance between the electrodes varies with the liquid fuel film adhering. The capacitance variation between the electrodes on the sensor surface was converted to the frequency variation of the oscillation circuit. In the previous study, it was revealed that the frequency of the oscillation circuit varies with the variation of the liquid fuel coverage area on the sensor surface. The developed sensor was installed in the combustion chamber of the rapid compression and expansion machine, and the performance of the developed sensor was examined. Iso-octane was used as a test fuel to explore the sensor that had been developed. As a result, the adherence of the liquid fuel directly injected into the cylinder was successfully detected under the quiescent and motoring
Kuboyama, Tatsuya, Moriyoshi, Yasuo, Takayama, Satoshi, Nakabeppu, Osamu
Virtual Calibration Approach to the Development of Control Systems and Strategies for Hybrid L-Category Vehicles2024-32-006604/18/2025
Hybrid powertrain for motorcycles has not been widely adopted to date but has recently shown significant increased interest and it is believed to have great potential for fuel economy containment in real driving conditions. Moreover, this technology is suitable for the expected new legislations, reduced emissions and enables riding in Zero Emissions Zones, so towards a more carbon neutral society while still guaranteeing “motorcycle passion” for the product [1, 2]. Several simulation tools and methods are available for the concept phase of the hybrid system design, allowing definition of the hybrid components and the basic hybrid strategies, but they are not able to properly represent the real on-road behaviour of the hybrid vehicle and its specific control system, making the fine tuning and validation work very difficult. Motorcycle riders are used to expect instant significant torque delivery on their demand, that is not properly represented in legislative cycles (e.g. WMTC); rider
Antoniutti, Christian, Sweet, David, Hounsham, Sandra
Study on the Optimal Pre-Chamber Geometry for Active Pre-Chamber Gas Engines2024-32-002304/18/2025
In a pre-chamber engine, fuel in the main-chamber is ignited and combusted by the combustion gas injected from the pre-chamber. Therefore, further fuel dilution is possible and thermal efficiency can be also improved. However, adding a pre-chamber to an engine increases the number of design parameters which have a significant impact on the main combustion and the exhaust gas. Then, in this study, the optimum geometry of the pre-chamber in an active pre-chamber gas engine was investigated. The considered parameters were the volume of pre-chamber, the diameter of a nozzle hole, and the number of nozzle holes. 18 types of pre-chambers with different geometries were prepared. Using these pre-chambers, engine experiments under steady conditions were conducted while changing the conditions such as engine speeds, mean indicated pressure and air excess ratio. Based on the experimental data, neural network models were constructed that predict thermal efficiency, NOx and CO emissions from the
Yasuda, Kotaro, Yamasaki, Yudai, Sako, Takahiro, Takashima, Yoshitane, Suzuki, Kenta
SAE TOMORROW TODAY: Advancing the Path to Full Autonomy1351104/18/2025
From advancements in ADAS (Advanced Driver Assistance Systems) to the importance of AI and redundancy, the path to autonomy is paved with delivering valuable intelligence that optimizes safety. Mobileye is a leader in autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. The company's diverse product portfolio ranges from driver assist systems to fully autonomous vehicles, all designed to enhance safety, comfort, and efficiency on the road. To learn more, we sat down with Nimrod Nehushtan, Executive Vice President of Business Development Strategy, to discuss the innovative AI technologies powering Mobileye's products, the importance of redundancy in ensuring reliability, and the company's strategic partnerships with leading OEMs. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to
Hineman, Marcie
Model-Based Calibration of ECU for Small Motorcycles2024-32-002404/18/2025
To deal with the emission regulations it is necessary to produce ECU control maps that maintain balance of emissions of HC, NOX, CO, engine power output and fuel consumption during the motorcycle development. We have recently introduced the Model-Based Calibration (hereafter as MBC) for calibration of ECU control maps for small motorcycles, which share a big chunk of the market. When introducing we aimed at such a method that can simulate stable temperature conditions necessary for the measurement in order to make it applicable to air-cooled engines predominantly used in small motorcycles. To decrease performance difference between the prototype and the mass-production, the newly developed method allows rewriting of control parameters such as the ignition timing using the mass-production ECU. The fully automated data acquisition along with the application of MBC permits continuous test operations even in nighttime and on holidays. Moreover, the MBC flow was made such a manner that
Fujiwara, Hirofumi, Maruyama, Atsushi, Kasai, Yoshiyuki
Effect of Mesopore Structure of Carbon Gel on Improving the Capacity of Electric Double-Layer Capacitors2024-32-002604/18/2025
Electric double-layer capacitors (EDLCs) store charge by adsorbing ions at the electrode-electrolyte interface, offering fast charge/discharge rates, high power density, minimal heat generation, and long cycle life. These characteristics make EDLCs ideal for memory backup in electronic devices and power assistance in electric and hybrid vehicles. However, their energy density is lower than that of batteries, necessitating improvements in electrical capacity and potential. Traditionally, activated carbon with a high specific surface area has been used, but recent research focuses on mesoporous carbon materials for better ion diffusion. This study uses resorcinol-formaldehyde-carbon cryogel (RFCC) with mesopores and organic electrolytes with a wider electrochemical window. Various RFCCs with different pore sizes were synthesized and evaluated. Comprehensive investigations into the pore structures and surface properties of both synthesized carbon gels and commercial mesoporous materials
Cheng, Zairan, Okamura, Tsubasa, Ohnishi, Yuto, Nakagawa, Kiyoharu
Investigation on Degradation Process of PdRuIr/CZ “Pseudo-Rh” Catalysts Used for Motorcycles2024-32-001604/18/2025
Platinum (Pt), palladium (Pd), and rhodium (Rh) are used as active substances in exhaust gas purification catalysts for automobiles. Among these, Rh is an essential element because it efficiently promotes a NOx reduction reaction. On the other hand, the price of Rh has been rising in recent years. From the perspective of the supply risk of rare resources, there is an urgent need to develop technologies to replace or reduce the amount of Rh used in catalysts. We focused on the pseudo-rhodium alloy developed by the ACCEL program of the Japan Science and Technology Agency (JST), and then investigated the application of the pseudo-rhodium alloy on the catalysts of our motorcycles and also the degradation process. A nanosized PdRuIr alloy supported on a ceria-zirconia solid solution (PdRuIr/CZ) was prepared and assembled into a motorcycle for emissions measurement. The PdRuIr/CZ catalyst with an alloy loading of 4.0 g/L had initial properties comparable to the Rh supported on a CZ (Rh/CZ
Motegi, Takuya, Tatara, Shunya, Takamoto, Shunpei, Doi, Kosuke
revision 2jms_bp_204/08/2025
revision 2
Automated Vehicle Safety Consortium
Predictive Battery Thermal Management System Control Strategy and Simulation in Electric Vehicle2025-01-502704/03/2025
With the global issue of fossil fuel scarcity and the greenhouse effect, interest in electric vehicles (EVs) has surged recently. At that stage, because of the constraints of the energy density and battery performance degradation in low-temperature conditions, the mileage of EVs has been criticized. To guarantee battery performance, a battery thermal management system (BTMS) is applied to ensure battery operates in a suitable temperature range. Currently, in the industry, a settled temperature interval is set as criteria of positive thermal management activation, which is robust but leads to energy waste. BTMS has a kilowatt-level power usage under high- and low-temperature environments. Optimizing the BTMS control strategy becomes a potential solution to reduce energy consumption and overcome mileage issues. An appropriate system simulation model provides an effective tool to evaluate different BTMS control strategies. In this study, a predictive BTMS control strategy, which adjusts
Huang, Zhipei, Chen, Jiangbo, Tang, Hai
SAE TOMORROW TODAY BRIEFS - NEVI and America's EV Charging Future1350904/03/2025
The National Electric Vehicle Infrastructure Program (NEVI) is a $5 billion initiative aimed at developing EV charging infrastructure across all 50 states and Puerto Rico. However, recent executive orders have put the program and its funding on hold. To dig into what this all means, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, recently sat down with Andrew Wishnia, Senior Vice President at Boundary Stone Partners, to discuss what NEVI is all about and what the future holds for this EV charging infrastructure initiative. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There, you can check out our drive of the new 2025 Ioniq 5, the first non-Telsa EV to hit the road with SAE J3400 (a.k.a., NACS). We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss
Hineman, Marcie
IAQG-03282025-1 IAQG-03282025-1 (Current)04/02/2025
IAQG-03282025-1
IAQG-1 Standards Committee
SAE TOMORROW TODAY: Simulating Off-Road Autonomy in Combat1350803/27/2025
As warfare becomes more technologically advanced, the military requires a "one-to-many" system that allows one operator to control a fleet of air, ground, and surface-level assets. This type of technology can also support industries like construction that may be experiencing labor shortages. To bring these visions to reality, there is a critical need for a virtual environment to stress-test autonomous systems and ensure they are secure. Enter Neya Systems, a wholly owned subsidiary of Applied Research Associates that is committed to advancing the field of unmanned systems through a robust simulation platform and expertise in autonomy, computer vision, and cybersecurity. To learn more, we sat down with Kurt Bruck, Vice President, Neya Systems, to discuss supporting the military as warfare becomes more technologically advanced and how his company is fostering safe and secure autonomous operations for unmanned ground vehicles. We'd love to hear from you. Share your comments, questions and
Hineman, Marcie
Optimizing Cooling Circuit Lines in between Batteries and Its Thermal Management Unit2025-01-501703/21/2025
Ensuring uniform coolant distribution in electric buses is crucial for battery performance, longevity, and thermal stability. This study optimizes the battery thermal management system (BTMS) for an 18-m electric bus, addressing uneven coolant flow to battery packs caused by pressure drop variations. One-dimensional (1D) simulations were chosen for their ability to quickly and efficiently analyze flow and pressure variations, providing a fast solution to optimize coolant distribution across the system. dP-Q curves for the BTMS pump and battery packs were integrated into the 1D model based on supplier data, while the flow resistances of other components (pipes, bends) were calculated using KULI software. To correct flow imbalances, pipe diameters were adjusted to increase resistance in over-cooled areas, redistributing coolant to under-cooled sections. This modification resulted in a balanced flow and improved thermal consistency, contributing to longer battery life. Validation showed
Birgül, Çağrı Emre, Meydan, Ömer
SAE TOMORROW TODAY - AI-Powered Solution for Seamless EV Charging1350703/20/2025
It's no secret that the EV charging experience can be a frustrating one. But what if you could connect the various EV charging networks to apps and services, standardizing them into a single point of integration? One company is doing just that by harnessing data to create a seamless, secure, and reliable EV charging experience. Meet Emobi, the leader in critical digital infrastructure that delivers a single point of integration to a vast network of EV charging stations and e-mobility partners through advanced AI and data refinement models. As the largest roaming ecosystem in North America, the company also enables traditional and streamlined (JustPlug) Plug & Charge technology, facilitating automatic charging identification between EVs and chargers. The company is trusted by EV manufacturers, startups, utilities, and U.S. government agencies alike. To learn more, we sat down with Lin Sun Fa, CEO, Emobi, to discuss how his company's solutions are unifying the fragmented e-mobility
Hineman, Marcie
Feasibility of Road Longitudinal Profiles for Automated Vehicles Based on Vehicle Dynamics2025-01-715003/19/2025
With the development and maturity of new generation digital technologies such as artificial intelligence, Internet of Things, and 5G mobile communication, their integration with physical products is becoming increasingly seamless. Automobiles serve as a prime example in this regard. In recent years, automated vehicle (AV) technologies have emerged as a prominent focal point, witnessing an escalating acceptance in the market and a growing number of self-driving vehicles on the roads, existing roads are primarily designed for traditional human-driven vehicles (HVs). Due to the differences in perception between automated systems and human drivers, it is essential to assess AVs' feasibility to current road infrastructure. This paper analyzes the safety and comfort of automated vehicles equipped with adaptive cruise control systems (ACC-AVs) on longitudinal road profiles from the perspective of vehicle dynamics. Firstly, a co-simulation platform integrating PreScan, CarSim, and Simulink
Li, Zezhou, Cai, Mingmao, Gu, Tianqi, Yu, Bin
Optimizing Electric Vehicle Charging Station Locations Based on Urban Road Network Congestion Tracing2025-01-721603/19/2025
Exhaust emissions from congested road segments constitute a significant source of urban air pollution. Resolving traffic congestion throughout the road network presents considerable challenges. However, alleviating tailpipe emissions on congested roads can be achieved by increasing the proportion of electric vehicles (EVs) in the traffic flow. Therefore, we propose a method for optimizing the layout of EV charging stations based on urban road networks congestion tracing. This method traces congestion sources through similarity between road networks, and evaluates the installation potential value of adjacent candidate installation points using the congestion contribution degree of the road segment as an indicator. The analysis is conducted on 100 routes within the Qinhuai district of Nanjing city, using spatiotemporal similarity metrics. The utilization of point-of-interest and traffic data from online mapping sources overcomes the complexity of road network structure and the sparsity
Zeng, Wenyi, Jian, Lu, Hu, Xiaojian
Background Filtering and Target Detection for Traffic Objects with Roadside LiDAR Point Cloud Data2025-01-719303/19/2025
Roadside perception technology is an essential component of traffic perception technology, primarily relying on various high-performance sensors. Among these, LiDAR stands out as one of the most effective sensors due to its high precision and wide detection range, offering extensive application prospects. This study proposes a voxel density-nearest neighbor background filtering method for roadside LiDAR point cloud data. Firstly, based on the relatively fixed nature of roadside background point clouds, a point cloud filtering method combining voxel density and nearest neighbor is proposed. This method involves voxelizing the point cloud data and using voxel grid density to filter background point clouds, then the results are processed through a neighbor point frame sequence to calculate the average distance of the specified points and compare with a distance threshold to complete accurate background filtering. Secondly, a VGG16-Pointpillars model is proposed, incorporating a CNN
Liu, Zhiyuan, Rui, Yikang
SAE TOMORROW TODAY BRIEFS - Perfecting Solid-State Battery Production1350603/13/2025
When it comes to electrification, Honda has been focused on long-term strategy, emphasizing that the transition to EVs is a marathon, not a sprint. Recently, however, the company has been bullish on solid-state battery technology. By using a solid electrolyte instead of a liquid one, solid-state batteries offer advantages like higher energy density, reduced weight, and improved safety compared to liquid lithium-ion batteries. After perfecting the production of solid-state batteries in a lab environment, Honda is now focused on mass production. The company recently opened a test factory to produce battery packs for future EVs and to refine the production process. To learn more, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, sat down with Chris Martin, Technological Director of Communications, to discuss Honda's advancements in solid-state battery technology and the company's future plans for electrification. For more information on the evolution of
Hineman, Marcie
SAE TOMORROW TODAY: SAE J3108: Alerting First Responders to Lithium-Ion Batteries1350503/08/2025
Less than one-third of first responders are trained on lithium-ion battery incidents, leading to potentially dangerous situations that can occur during vehicle fires, especially as the adoption of EVs grows. To help address this challenge, first responders must first know whether a vehicle is equipped with a lithium-ion battery or another alternative fuel source. In this episode of the SAE Tomorrow Today podcast, we sit down with Robert Swaim, Founder, HowItBroke.com, to discuss the SAE J3108 standard which proposes vehicle stickers to indicate fuel type, aiming to alert first responders on the scene. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen--and give us a review on your preferred podcasting platform. Follow SAE on
Hineman, Marcie
How Will TSN Ethernet Impact the Future of Embedded Computing for Aerospace and Defense Applications?25AERP03_0603/01/2025
Time Sensitive Networking (TSN) Ethernet is a real-time networking capability that is being developed by a growing number of embedded computing companies for the earliest stages of adoption by aerospace and defense manufacturers and their suppliers. According to the Institute of Electrical and Electronics Engineers (IEEE) TSN working group, it is a set of standards that provides deterministic connectivity within IEEE 802-aligned networks. Nigel Forrester is the Director of Product Strategy for Concurrent Technologies, a UK-based provider of high performance embedded computing solutions for aerospace, defense and many other industries. Check out our interview with Forrester about the potential impact of TSN Ethernet on new and legacy aerospace and defense applications, and how it is being adopted by manufacturers and system integrators below.
Testing Methods for Advanced Intelligent Driving Systems Based on Natural Driving Behavior Characteristics2025-01-714702/21/2025
The technology of advanced intelligent driving systems equipped in intelligent and connected vehicles evolves rapidly, while the corresponding testing and evaluation standards lag behind. To propose new testing methods for advanced intelligent driving systems, this study first identifies typical intelligent driving functions through extensive research. Based on the distribution characteristics of natural driving scenarios, a series of test cases for these typical functions are developed. By employing simulation methods and the "logical scenario-critical scenario-experimental scenario" mechanism, the generalized test cases are filtered, enabling the rapid extraction of high-value test cases for real-world field testing and validation. Finally, the typical intelligent driving functions of advanced driving systems are analyzed and evaluated from the perspectives of perception and decision-making, as well as control operations. The experimental results demonstrate that the proposed testing
Mo, Jingyue, Wu, Biao, Ma, Zhixiong, Ren, Hongze, He, Jiacan
Research and Simulation Implementation of Self-Driving Vehicle Trajectory Optimization in Networked Intersection Environment2025-01-719402/21/2025
Nowadays, the rapidly developing Connected and Autonomous Vehicle (CAV) provides a new mode of intersection vehicle cooperative control, which can optimize vehicle trajectories and signal phases in real time and reduce intersection delays through the advantages of vehicle-road cooperative information interaction and the high controllability of CAV. In this paper, the intersection of Jintong West Road and Guanghua Road in Beijing is taken as the research object, and the vehicle trajectory constraints, acceleration constraints, speed constraints, safe driving constraints, signal switch constraints and traffic signal control constraints are set up with the minimization of traffic delay as the objective function. The DQN deep reinforcement learning network is constructed based on vehicle states, vehicle actions, reward functions, and update rules, and starts learning and updating to generate the target network. Then, SUMO software is used to simulate and test and compare the trajectory
Xu, Yuting, Zhang, Yong, Wu, Xianyu
Automatic Detection of Dead-End Roads in High-Resolution Satellite Image2025-01-716502/21/2025
There are dead-end roads in the road network, and many of them have the function of indicating specific target clues, which is of great significance in the fields of military, urban construction, and disaster relief and rescue. However, many of the important cut-offs are in mountainous or wilderness areas, and surveying them is difficult and costly. The research objective of this project is to extract the breakpoints in the road network using high-resolution Google satellite imagery, so as to provide clues and indications for the subsequent relevant work. Firstly, the image is corrected and pre-processed to highlight road edge information.Then the phase grouping method is improved by setting a double-angle threshold, filtering the edge operator to reduce the calculation error of the gradient angle, and the road network is extracted by the improved phase grouping method. And finally screens out the dead-end road points with the eight-neighbourhood method, and marks them on the
Liu, Ruohan, Haoping, Qi, Jingjie, Kang, Yanyan, Wu, Feifei, Li
Analysis of Left-Turn Mixed Traffic Flow Dynamics at Y-Shaped Signalized Intersections Using Cellular Automata2025-01-720402/21/2025
Through the method of on-site video observation, this study divides the intersection area into three parts according to the road traffic characteristics of the Y-shaped signalized intersections, and at the same time obtains the relevant parameters. These parameters include the left-turn speed and traffic density of motor vehicles within both the internal and exit areas, the frequency of lane-changing and queuing behaviors of non-motorized vehicles in the internal area, and the left-turn speed and traffic density of non-motorized vehicles in both the internal and exit areas. The data extraction and analysis of the parameters provide strong data support for further analysis of the subsequent mixed traffic flow. A cellular automaton model is developed using the intersection’s exit area as the scenario. The exit area is divided into three lanes based on the queuing patterns of mixed traffic. Corresponding traffic rules are established according to the traffic density of motorized and non
Yuan, Li, Liu, Xiaowei
Intelligent Courier Delivery Scheduling Based on XGBoost Feature Selection and Reinforcement Learning: A Case Study Using Chongqing Cainiao Express Data2025-01-717602/21/2025
This study tackles the issue of order delays in logistics using XGBoost for feature analysis and reinforcement learning for intelligent courier scheduling. Pickup order data from May 1 to October 31, 2023, in Chongqing is analyzed using spatio-temporal statistical methods. Key findings include that order placement peaks at 9:00 a.m., delays peak at 10:00 a.m., and the delay rate is 8.6%. A significant imbalance exists between the regional daily average of dispatchable couriers and order volumes.XGBoost is employed to predict order delays, revealing that pickup location is the most influential factor (27%), followed by courier pickup location (22%). These factors and their relationships are identified as key drivers of delays.To address these issues, a reinforcement learning-based courier scheduling optimization model is developed. The model defines courier location, current time, and pending orders as state variables and adopts an epsilon-greedy strategy for action selection
Wang, Manjun, Yu, Xinlian
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