Browse Topic: Electronic equipment

Items (6,599)
This project was designed to better understand how the activation of SAE International Level 2 (L2) system features affect the duration of secondary task engagement. Four naturalistic driving datasets were used: one that included drivers without L2 experience, two that included drivers with L2 experienced, and one that included drivers of L0 vehicles. Dependent variables that were assessed include frequency of secondary tasks, duration of secondary task, and proportion of time that drivers engaged in cell phone tasks when L2 systems were active compared to when L2 systems were available but inactive. Results suggest that both the frequency and proportion of time drivers engaged in secondary tasks were significantly higher when L2 systems were active compared to when systems were available but inactive. Drivers without L2 experience took longer to perform tasks involving the center stack/instrument panel compared to experienced L2 drivers. These results suggest that drivers demonstrate
Klauer, SheilaDunn, NaomiAnderson, Gabrial T.Barnes, EllenHan, ShuFincannon, ThomasWeaver, Starla
SAE J1979-2 describes the communication between the vehicle’s OBD systems and test equipment required by OBD regulations. OBD regulations require passenger cars and light-, medium-, and heavy-duty trucks to support a minimum set of diagnostic information to external (off-board) “generic” test equipment. To achieve this, SAE J1979-2 is based on the Open Systems Interconnection (OSI) Basic Reference Model in accordance with ISO/IEC 7498-1 and ISO/IEC 10731, which structures communication systems into seven layers. When mapped on this model, the services specified are broken into: Diagnostic services (layer 7), specified in: ISO 14229-1 SAE J1979-2 OBDonUDS Presentation layer (layer 6), specified in: SAE J1930, SAE J1930DA SAE J1979DA SAE J2012, SAE J2012DA SAE J1939DA, SAE J1939-73 Session layer services (layer 5), specified in: ISO 14229-2 Transport layer services (layer 4), specified in: DoCAN: ISO 15765-2 Transport protocol and network layer services ISO 15765-4 Requirements for
Vehicle E E System Diagnostic Standards Committee
This document applies to the development of Plans for integrating and managing COTS assemblies in electronic equipment and Systems for the commercial, military, and space markets, as well as other ADHP markets that wish to use this document. For purposes of this document, COTS assemblies are viewed as electronic assemblies such as printed wiring assemblies, disk drives, servers, printers, laptop computers, etc. There are many ways to categorize COTS assemblies1, including the following spectrum: At one end of the spectrum are COTS assemblies whose design, internal parts2, materials, configuration control, traceability, reliability, and qualification methods are at least partially controlled, or influenced, by ADHP customers (either individually or collectively) or by industry standards. An example at this end of the spectrum is a VME circuit card assembly. At the other end of the spectrum are COTS assemblies whose design, internal parts, materials, configuration control, and
APMC Avionics Process Management
The automotive industry is evolving from a reactive, independently self-determined approach to cybersecurity, complicated by a complex supply chain. Over time, this has resulted in a fragmented industry comprised of any number of proprietary solutions verses a standardized, regulated paradigm to facilitate a platform-oriented approach. This document, an update on collaborative work from the SAE Vehicle Electrical Hardware Security Task Force (TEVEES18B) and GlobalPlatform Automotive Task Force, outlines this transition strategy. An extensible number of additional examples of use cases of Global Platform Technologies are explored in this document.
Mazzara, BillRawlings, Craig
The goal of this study is to quantify the accuracy (bias) and precision (uncertainty) of the time, position, and speed data acquired by a range of consumer-grade devices (4 bike computers, 5 watches, 1 application on 3 smart phones, and a camera) that access Global Positioning System (GPS) satellite signals. We acquired data at each device’s maximum sampling rate (typically 1 Hz) during 207 minutes (twelve sessions of ~17 min) over 61.6 km of road cycling. The time and position data from these devices were compared to real-time kinematic (RTK) data acquired using a differential GPS system, and speed data from these devices were compared to a high-resolution wheel speed sensor synchronized to the RTK data in order to statistically estimate the bias and 95th percentile confidence intervals of the uncertainty of the devices’ data. Overall, we found the position and speed data from the devices generally lagged the reference by 4 s or less, although the lags between the speed and position
Booth, Gabrielle R.Mitchell, Alan L.Siegmund, Gunter P.
Software-defined vehicles (SDVs) are reshaping automotive control architectures by shifting intelligence to embedded systems, where computational efficiency is paramount. This paper presents a systematic evaluation of control strategies (PID, LQR, MPC) for the classical control problem involving inverted pendulum on a cart under strict embedded constraints representative of software-defined vehicle ECUs. The objective is to evaluate and compare the performance of advanced control algorithms under varying control objectives when deployed on microcontrollers with constrained computational and memory resources, representative of the limitations encountered in embedded platforms used for SDVs. Furthermore, the study illustrates systematic optimization strategies that enable these algorithms to achieve real-time execution within such resource-constrained environments. Each control strategy is implemented with careful consideration of algorithmic complexity, real-time responsiveness, and
Vupparige, VarunPandya, Vidit
Battery fires pose a significant risk across a wide range of applications, including electric vehicles, consumer electronics, and grid-scale energy storage systems. Early detection of fire and smoke is critical to preventing catastrophic failures and ensuring human safety. In this study, we developed a synthetic dataset of battery fire and smoke images in the context of a simple battery pack. The primary application of this dataset is to support the development of a machine learning–based visual classification system capable of accurately detecting battery fires and smoke in real time at an early stage. The intended outcome is a deployable classification system that enhances battery safety through rapid visual identification of hazardous conditions.
Govilesh, VidarshanaGunasekaran, AswinChalla, KarthikeyaMaxim, BruceShen, Jie
The discharge characteristics of ignition systems critically influence flame kernel formation and ignition stability under lean-burn conditions. This study experimentally compares a transistor coil ignition (TCI) and a capacitor discharge ignition (CDI) system in a constant-volume combustion chamber using hydrogen–air mixtures. The electrical behavior of both systems was first characterized through synchronized measurements of voltage, current, and high-speed imaging under various operating conditions with a resistive spark plug. The CDI system exhibited high-current (≈750 mA), short-duration (≈250 μs) discharges with strong instantaneous power but limited total spark-gap energy (≈5 mJ), while the TCI system produced lower-current, longer-duration (≈3 ms) discharges with higher cumulative energy (≈30 mJ). Flow-field tests revealed that the TCI discharge duration and energy release were strongly influenced by airflow, whereas CDI discharge behavior remained largely unchanged at flow
Cong, BinghaoJin, LongYu, XiaoZhou, QingTjong, JimiZheng, Ming
In the context of Industry 5.0, effective human–machine collaboration requires seamless and natural interaction. Hand-Gesture Recognition (HGR) has emerged as a promising technology for developing human–machine interfaces (HMI) that enable users to control robotic systems without physical controllers or wearable devices. This research presents a real-time HGR system designed to control a 6-Degree-of-Freedom (DoF) robotic arm using YOLOv10, a state-of-the-art deep learning model for hand gesture detection and classification. While YOLOv10 delivers high recognition accuracy, its computational demands surpass the capabilities of edge devices typically mounted on robotic platforms, creating a hardware bottleneck. To address this challenge, a cooperative client–server architecture is proposed, distributing computational workload between the edge device and a more powerful remote server. An RGB camera attached to the robotic arm captures hand gesture images and transmits them to the server
DeHaven, Aaron LeePark, Jungme
Passenger expectations for quiet and acoustically comfortable vehicle interiors have increased significantly, driven by advancements in electric vehicles and premium audio systems. Acoustic comfort affects perceived quality, communication ease, and overall driving experience. This paper presents a simulation-driven methodology to predict and optimize interior noise performance during the early design phase, focusing on high-frequency acoustic transfer functions and trim material absorption properties. Traditional NVH development relies heavily on physical testing, which is time-consuming and costly. Early-stage predictive tools are essential to evaluate acoustic performance before prototype availability. High-frequency noise (1kHz–12kHz) is particularly challenging due to complex reflections and absorption behavior. Acoustic trims play a critical role in shaping the cabin’s sound field, and their properties must be optimized to achieve desired sound quality. A novel simulation approach
Baladhandapani, DhanasekarJadhav, VishalDu, Isaac
Proper control over combustion and emission characteristics under engine idling conditions remains to be challenging, especially when engine block temperature is low. A specially designed common-coil pack was demonstrated to improve engine idling stability in previous SAE congress. In this paper, the progress on further development of the ignition system was reported with improved system stability and enhanced ignition performances. The impact of the prolonged discharge duration on the combustion stability was investigated on a turbocharged 4-cylinder production engine, with special attention to cylinder-by-cylinder variation under cold and hot engine block temperatures. It is observed that a prolonged discharge duration can reduce both cycle-to-cycle and cylinder-to-cylinder variations significantly. Especially under cold engine block temperature conditions, prolonged discharge duration together with advanced spark timing can increase engine load and reduce carbon monoxide emissions
Yu, XiaoJin, LongLeblanc, SimonTing, DavidZheng, Ming
Electronics is entering rapidly into all automotive subsystems, performing control and monitoring tasks apart from making the entire vehicle intelligent. Interface with the external automotive eco-system needs careful attention during the system design. It defines how seamlessly the electronic unit interacts with rest of the vehicle. It needs to do so in an effective manner without compromising on cost and other automotive application constraints. This paper focusses on the “smart switch building block” that forms heart of an automotive output interface echo system.: Its importance stems from the fact that, a smart switch is an indispensable building block for any electronic control system driving external loads. As various novel electical and electronics architectures are entering various vehicle segments, the need for a single reusable solution that will cater to 12 Volts to 48 Volts battery buses is increasingly being felt. However, no prevelant solution meets this requirement. Even
Vaidya, Vishwas Manohar
This study presents the development and validation of a muddy water spray apparatus designed to simulate dust contamination on vehicle sensors for sensor cleaning system testing. It is important to have a constant and quantifiable test environment for the vehicle development process. For verifying the apparatus, muddy water, prepared by mixing standardized dust powder, salt, and water to maintain constant contamination test conditions, was sprayed onto glass specimens to evaluate equipment consistency. Deposited dust weight and thickness were measured across multiple spray cycles, with statistical analyses confirming consistent and reliable deposition. Paired t-tests indicated no significant difference between sample positions, demonstrating uniform spray distribution. The apparatus was further applied to individual infrared (IR) cameras to observe performance degradation under dry and wet contamination conditions showing statistically consistent increases in contamination levels
Jinhyeok, Gong
The increased integration of radar and vision sensors in modern vehicles has significantly improved environmental perception, safety, and automation. Nevertheless, conventional camera modules capture images in fixed, continuous frames, leading to unnecessary data processing, power consumption, and heat generation in the limited space of small sensors. The paper discusses the technology of Radar Based Dynamic Pixel Activation (RDPA); whereby radar data can be used to dynamically activate specific pixels on the camera sensor, optimizing image capture and processing. Through a systematic literature review of peer-reviewed articles published between 2021 and 2025, we examined the literature on radar-camera fusion, adaptive imaging, and sensor design that is efficient in power consumption. The review indicates a research gap that there is no current paradigm that dynamically activates sensor pixels at the hardware level using radar data. We aggregated ten topical studies and proposed a
Kasarla, Nagender Reddy
The Audio system is an important part of the design of a vehicle cabin. In the vehicle development process, the audio system needs to be tuned for optimal acoustic performance. Traditionally, this process is performed physically on vehicles. In this paper, a methodology is developed to numerically simulate the acoustic performance of the audio system across the full audible frequency range. To provide validation of the method, the p/v acoustic transfer functions (ie., the sound pressure p at the passengers’ ears divided by the voltage inputs v) are measured for different speakers in a production vehicle. As the sound perceived by the passengers depends on both the source and the path, the method development is split into two parts: (a) characterization of parameters that describe the loudspeaker as a source and (b) representation of the vehicle cabin as a path. The speaker parameters are characterized from sound radiation data measured in a 2pi chamber. To represent the vehicle cabin
Yang, WenlongPatra, SureshHawes, DavidShorter, Phil
Mechatronic and cyber-physical systems emerge from interdisciplinary design efforts, integrating software (SW), electronics, and mechanical components. Developing such systems places high demands on organizations and processes, particularly regarding efficient collaboration across domains. A key challenge lies in establishing organizational structures and workflows which allow cross-discipline work and at the same time ensure compliance with regulations and adherence to standards such as Automotive Software Process Improvement and Capability Determination (ASPICE). In response, the authors have developed an Engineering Process Framework (EPF) grounded in International Council on Systems Engineering (INCOSE) systems engineering principles. The EPF provides a structured approach for system development and therefore defines company-wide processes and methods. This paper presents the development of the EPF’s functional logic and its implementation within a tool landscape. Furthermore, a
Gehrt, Jan-JöranGranrath, ChristianCaglayan, EbruReckeweg, ThomasRichert, Felix
Defense Advaned Research Projects Agency (DARPA) Arlington, VA
The evolution of wireless communications and the miniaturization of electrical circuits have fundamentally reshaped our lives and the digital landscape. However, as we push toward higher-frequency communications in an increasingly connected world, engineers face growing challenges from multipath propagation — a phenomenon where the same radio signal reaches receiving antennas through multiple routes, usually with time delays and altered amplitudes. Multipath interference leads to many reliability issues, ranging from “ghosting” in television broadcasts to signal fading in wireless communications.
Microchip's PIC64 is a new portfolio of microprocessors that the Chandler, Arizona-based company claims could enable a generational leap in embedded processing performance for aerospace and defense applications. The new MPU technology is supported by a 64-bit reduced instruction set computer (RISC-V) architecture with an embedded Time Sensitive Networking (TSN) Ethernet switch.
This SAE Aerospace Information Report (AIR) is intended to cover all airport 50 or 60 Hz electrical systems as well as all electrical utilization equipment that is attached to those systems.
AGE-3 Aircraft Ground Support Equipment Committee
This study provides an extensive analysis through finite element analysis (FEA) on the effects of fatigue crack growth in three different materials: Structural steel, Titanium alloy (Ti Grade 2), and printed circuit board (PCB) laminates based on epoxy/aramid. A simulation of the materials was created using ANSYS Workbench with static and cyclic loading to examine how the materials were expected to fail. The method was based on LEFM and made use of the Maximum Circumferential Stress Criterion to predict where cracks would happen and how they would progress. Normalizing SIFs while a crack was under mixed loading conditions was achieved using the EDI method [84]. We used Paris Law to model fatigue crack growth using constants (C and m) for the materials from previous studies and/or tests. For example, in the case of titanium Grade 2, we found Paris Law constants with C values from 1.8 × 10-10 to 7.9 × 10-12 m/cycle and m values from 2.4 to 4.3, which illustrate differing effects of their
T, LokeshBhaskara Rao, Lokavarapu
The Automobile Life Extender (ALE) comprises an on-board function, a machine learning model operating via cloud computing and a smartphone app. The on-board function receives signals such as engine RPM, throttle position, brake pedal position, and hydraulic pressure from the vehicle's ECUs. Based on this data, the on-board ALE module calculates the engine load, brake circuit load, etc., and sends it to the predictive maintenance model via the on-board IoT system. The predictive maintenance model contains recorded data about the type of engine, brake system, and their performance curves acquired from tests conducted by its OEM. Machine learning models holds a crucial role in dynamically analyzing vehicle data, identifying drive patterns, and predicting the need for maintenance of a part or system. A hybrid approach of training models based on supervised and unsupervised learning is incorporated, creating an active learning strategy to maximize the use of available data. Amazon SageMaker
Sundaram, RameshselvakumarKumar, LokeshSaint Peter Thomas, EdwinSureshkumar, SrihariMuthukumaran, ChockalingamMenon, Abhijith
For music producers, engineers, and musicians, the studio is a sacred place. It's a place where creativity can be recorded and eventually shared with fans. Whether that music is being recorded in the studio or at an event, the process of properly mixing the files can be time-consuming. This is doubly true now that artists can release music mixed with Dolby's Atmos technology, a surround sound system that, among other things, takes into account the height of a speaker. This immersive technology produces music that surrounds the listener, but involves a complex backend that producers and engineers tap into from audio tools like Logic and Pro Tools. They typically do this from a professional studio filled with high-end gear and expensive speakers. Mercedes-Benz wants to give these producers and engineers the opportunity to do this work on the go via a new “Crafted in Mercedes” partnership with Dolby and the Universal Music Group.
Baldwin, Roberto
A new study from NC State University combines three-dimensional embroidery techniques with machine learning to create a fabric-based sensor that can control electronic devices through touch.
RF and fiber have long co-existed within modern military and aerospace systems, with each medium dedicated to separate, mission-critical roles. Increasingly, however, system designers are turning to RF-over-fiber (RFoF) architectures to bridge the gap between over-the-air RF interfaces and the long, interference-resistant transport advantages of fiber. When it comes to over-the-air communications uses like tactical radio or satellite communications terminals, radio frequency (RF) is still the dominant signal format. RF is also commonly used at the front end of radar and electronic warfare, supporting search, tracking, fire control radar, missile seekers, jammers and electronic support measures.
Scientists used a “smart” shirt equipped with an electrocardiogram to track participants’ heart-rate recovery after exercise and developed a tool for analyzing the data to predict those at higher or lower risk of heart-related ailments.
With rapid advancements in Autonomous Driving (AD) & Advanced Driver Assistance Systems (ADAS), numerous sensors are integrated in vehicles to achieve higher and reliable level of autonomy. Due to the growing number of sensors and its fusion creates complex architecture which causes challenges in calibration, cost, and system reliability. Considering the need for further ADAS advancements and addressing the challenges, this paper evaluates a novel solution called One Radar - a single radar system with a wide field of view enabled by advanced antenna design. Placing the single radar at the rear of the vehicle eliminates the need for corner radars and ultrasonic sensors used for parking assistance. With rigorous real-world testing in different urban and low-speed scenarios, the single radar solution showed comparable accuracy in object detection with warning and parking assistance to the conventional combination of corner radars and ultrasonic sensors. The simple single sensor-based
Anandan, RamSharma, Akash
Threat Analysis and Risk Assessment (TARA) is a continuous activity, acting as a foundation of cybersecurity analysis for electrical and electronics automotive products. Existing TARA methodologies in the automotive domain exhibits challenges due to redundant and manual processes, particularly in handling recurring common assets across Electronic Control Units (ECUs) and functional domains. Two primary approaches observed for performing TARA are Manual-Asset-Centric TARA and Catalogue-Driven TARA. Manual-Asset Centric TARA is constructed from scratch by manually identifying the assets, calculating risks by likelihood, and impact determination. Catalogue-Driven TARA utilizes the precompiled likelihood and impact against identified assets. Both approaches lack standardized and modular mechanisms for abstraction and reuse. This results in poor scalability, increased efforts, and difficulty in maintaining consistency across vehicle platforms. The proposed method in this research overcomes
Goyal, YogendraSinha, SwatiSutar, SwapnilJaisingh, Sanjay
This study introduces a novel in-cabin health monitoring system leveraging Ultra-Wideband (UWB) radar technology for real-time, contactless detection of occupants' vital signs within automotive environments. By capturing micro-movements associated with cardiac and respiratory activities, the system enables continuous monitoring without physical contact, addressing the need for unobtrusive vehicle health assessment. The system architecture integrates edge computing capabilities within the vehicle's head unit, facilitating immediate data processing and reducing latency. Processed data is securely transmitted via HTTPS to a cloud-based backend through an API Gateway, which orchestrates data validation and routing to a machine learning pipeline. This pipeline employs supervised classifiers, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF) to analyze features such as temporal heartbeat variability, respiration rate stability, and heart rate. Empirical
Singh, SamagraPandya, KavitaJituri, Keerti
Electric vehicles present unique challenges in electromagnetic compatibility testing due to compact packaging, high-frequency switching systems. This paper presents a systematic debugging methodology for identifying radiated emission and radiated immunity issues in these EV platforms. A comprehensive approach is outlined, covering radiated emission measurement; Bulk Current Injection based immunity simulation, and near-field probing techniques. For RI evaluation, BCI testing in the 20 to 400 MHz range is used to simulate radiated threats on the vehicle's power and signal harnesses and handy transmitter near field injections for higher frequency simulation. For RE diagnosis, conducted emission measurements on vehicle harnesses are performed using current probes to capture high-frequency currents. Additionally, near-field electric probes are used at the component to identify dominant noise sources such as DC-DC converters, Motor control unit, and improperly grounded shielding. Case
M, GokulPatel, JinayMulay, Abhijit B
The rapid evolution of electric vehicles (EVs) has amplified the demand for highly integrated, efficient, and intelligent powertrain architectures. In the current automotive landscape, EV powertrain systems are often composed of discrete ECUs such as the OBC, MCU, DC-DC Converter, PDU, and VCU, each operating in isolation. This fragmented approach adds wiring harness complexity, control latency, system inefficiency, and inflates costs making it harder for OEMs to scale operations, lower expenses, and accelerate time-to-market. The technical gap lies in the absence of a centralized intelligence capable of seamlessly managing and synchronizing the five key powertrain aggregates: OBC, MCU, DC-DC, PDU, and VCU under a unified software and hardware platform. This fragmentation leads to redundancy in computation, increased BOM cost, and challenges in system diagnostics, leading to sub-optimal vehicle performance. This paper addresses the core issue of fragmented control architectures in EV
Kumar, MayankDeosarkar, PankajInamdar, SumerTayade, Nikhil
The precise validation of radar sensor is necessary due to surging demand for reliable Advanced Driver-Assistance Systems (ADAS) and autonomous driving technologies. Over-the-Air (OTA) Hardware-in-the-Loop approach is the optimal solution for the current challenges facing with traditional on road testing. This approach supports productive, controllable and repetitive environment because of its lab-based setup which will eliminates the drawbacks such as high costs, limited repeatability, safety related issues. Key parameters of radar such as accurate detection of objects, analysis of doppler velocity, range estimation, angle of arrival measurement, can be tested dynamically. And this test setup offers wide range of testing scenarios, including varying distance of target, relative speeds, simulation of objects and environmental effects also supported.OTA provides the flexibility to eliminate the physical test tracks or targets so that developers can simulate the errors, by introducing
Jadhav, TejasKarle, UjjwalaPaul, HarshitSNV, Karthik
Automotive displays have become an essential part of modern vehicles, not just for aesthetics but also for improving safety and user interaction. As cars get smarter, the industry is leaning heavily into advanced display technologies to provide drivers and passengers with clearer, more responsive visuals. Technologies like Active Matrix LCDs (AMLCDs) and AMOLEDs are now common in dashboards, infotainment systems, digital clusters, and even head-up displays. These display types are popular because they offer great brightness, vibrant color, and wide viewing angles — all of which are important in a car, where lighting conditions can change constantly. But to make these displays work effectively, a solid backplane is critical. That’s where technologies like amorphous silicon (a-Si) and low-temperature polysilicon (LTPS) come in. Among these, LTPS has gained popularity due to its ability to support high-resolution, high-refresh-rate screens, thanks to its higher carrier mobility. Still
Sinha Roy, DebarghyaDuggal, AnanyaSingh, Ujjwal Kumar
The rapid advancement of electric vehicle (EV) technology has created a demand for reliable and Thermal - efficient electronic components for power electronics and control systems on printed circuit boards (PCBs). The research looks at the overall simulation and study of a PCB for Electric Vehicles, including how it handles heat, stress, and reliability in real working conditions like considering casing (Heat Sink) in which PCB is held, into the simulation. We have used numerical based methods (reliability), Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) methods to simulate heat performance looking at steady-state and changing load profiles common in EV powertrains. We ran structural and thermal simulations to check the PCB's toughness against heat expansion and shaking loads often seen in cars. We also did a reliability check looking at heat cycling life for PCB components, and possible ways it could break to guess long-term toughness. The results show critical
Kanbarkar, Suraj OmanaDeore, UdayPatil, NishikantNayak, Shibabrata
Nowadays, Printed Circuit Board (PCB) design is facing critical challenges like high heat dissipation, increased cost, densely populated components and reduced life span. In view of the above, present study is focused on temperature prediction, thermal management, and optimization of component allocation (e.g. mosfet) in PCB. Heat flow occurring from traces to different copper layers in the PCB can cause adverse effects such as thermal run away/PCB warpage. Here, transient thermal analysis is carried out in an in-house developed PCB which is placed inside a sheet metal enclosure. Initially, thermal prediction to explore thermal regimes in the PCB is performed with the help of a commercially available software Altair Simlab ElectroFlo 2024.1. Temperature across all the components of the PCB as well as at the enclosure is simulated which is found to be beneficial in identifying the critical hotspots. In addition to the above, thermal measurements are performed in the lab with the help of
Rajasekharan, JayakrishnanML, SankarPrasad, Suryanarayana
This study discusses the generalized workflow and design techniques for detecting radiated emissions from vehicle electronic systems to ensure an electromagnetic compatible (EMC) vehicle specified by radiated emission standards such as CISPR-12 and CISPR-25. In this work, CST studio suite software is used to examine the vertical polarization in an E vehicle. The results of the radiated emission are plotted as dBμV/m vs Hz to understand the radiation effects generated by different electronic devices across different frequencies. The discussed method serves as a guide for forming a virtual electromagnetic environment where a real vehicle is simulated to study the interference effects and design a suitable filter to reduce the effect of EMI.
Manuelraj, MasilamaniPrasad, SuryanarayanaNarayanan, Siva Suriya
This paper presents the design, simulation, and evaluation of a low-profile Multiple-Input Multiple-Output (MIMO) antenna configuration, optimized to meet the evolving demands of modernized wireless communication systems, incorporating LTE-Advanced (LTE-A) and emerging 5G Internet of Things (5G-IoT) applications. The antenna’s geometry relies on a novel design comprising staircase-shaped rectangular radiating patches with an integrated stub. This configuration is employed to improve impedance bandwidth and strengthen the isolation between antenna components, which are critical parameters in MIMO system performance. The antenna is fabricated on a Rogers RT/Duroid 5880 substrate, distinguished by its low dielectric loss and high-frequency stability. With a compact physical footprint of 96 × 96 mm2, the proposed design effectively serves the feature of integration into portable and space-constrained wireless devices. The antenna operates effectively across frequency range of 2.13 GHz to
Gupta, ParulPrasad, Anjay
Engineers have developed a next-generation wearable system that enables people to control machines using everyday gestures — even while running, riding in a car, or floating on turbulent ocean waves.
Researchers from Harbin Institute of Technology and their collaborators have developed a multifunctional polyelectrolyte hydrogel reinforced with aramid nanofibers (ANFs) and MXene nanosheets, achieving outstanding performance in absorption-dominated electromagnetic interference (EMI) shielding and wearable sensing. This innovative hydrogel addresses the long-standing challenge of balancing electrical conductivity and effective EMI absorption in flexible electronic materials. The research was published in the journal Nano-Micro Letters. 1
With the advancement of wireless technology within the automotive industry, vehicle antenna measurement has garnered increasing attention, as antenna system performance exerts critical influences on wireless communication performance. In spherical near-filed (SNF) automotive measurement, the assignment of minimum sphere radius (MSR) is of paramount significance in reducing test duration. Current industrial practice typically presumes the aperture equivalent to the entire vehicle, consequently assigning the minimum sphere to enclose the entire vehicle structure. Such a sampling scheme, however, is often redundant since regions distant from the antenna experience weak illumination and contribute negligibly to radiation, particularly at higher frequencies. Thus, determining the effective aperture becomes essential for MSR reduction and enhanced testing efficiency. To this end, this paper investigated the effective aperture of vehicle-mounted antenna (VMA) to reduce the test duration. The
Yang, XinChen, RuiZhou, LilingTao, Tingting
The work presented here was developed within the scope of the Tire-Tooling Benchmark Project – Mover – FUNDEP – Line IV – in response to demands from the tire manufacturing sector for solutions to monitor tire molds. This study presented the development and validation of an embedded device that integrates RFID technology, wireless communication (LoRa and Wi-Fi), and local processing via an ESP32 microcontroller. The system was capable of collecting and processing data related to mold lifecycle, such as usage cycles, inspections, and maintenance activities, enabling predictive maintenance strategies. A functional prototype was successfully built and tested, validating reliable cycle readings, stable communication with a remote database, and consistent embedded logic. Based on these results, a custom Printed Circuit Board (PCB) was designed, focusing on robustness, compactness, and industrial applicability. Although the PCB has not yet been fabricated or tested in the production
Pivetta, Italo MeneguelloCecone, Eduardo ChristianoDel Conte, Erik Gustavo
Items per page:
1 – 50 of 6599