Refine Your Search

Topic

Author

Affiliation

Search Results

Technical Paper

Novel approach to optimize the ride and handling performance by reducing development time and cost

2024-10-17
2024-28-0043
This research focuses on optimizing vehicle ride and handling performance by utilizing a tuning specifications range. Traditional approaches to refining these aspects involve extensive physical testing, which consumes both time and resources. In contrast, our study introduces a novel methodology leveraging virtual Subjective Rating through driving simulators. This approach aims to significantly reduce tuning time and costs, consequently streamlining overall development expenditures. The core objective is to enhance vehicle ride and handling dynamics, ensuring a superior driving experience for end-users. By meticulously defining and implementing tuning specifications, we aim to fine-tune various parameters affecting performance, including suspension settings and overall vehicle dynamics. In this study, we optimized tuning specifications using advanced software such as Adams/Car and ModeFrontier. Design of experiments and optimizations were conducted in ModeFrontier.
Technical Paper

ADAS Camera system validation using open-source maps data

2024-10-17
2024-28-0031
Advanced Driver Assistance Systems is a growing technology in automotive industry, intended to provide safety and comfort to the passengers with the help of variety of sensors like radar, camera, LIDAR etc. The camera sensors in ADAS used extensively for the purpose of object detection and classification which are used in functions like Traffic sign recognitions, Lane detections, Object detections and many more. The development and testing of camera-based sensor involves the greater technologies in automotive industry, especially the validation of camera hardware and software. The testing can be done by various process and methods like real environment test, model-based testing, Hardware and Software in loop testing. A fully matured ADAS camera system in the market comes after crossing all these verification process, yet there are lot of new failures popping up in the field with this ADAS system.
Technical Paper

Enhancing Gear Performance: Discrete Response Optimization through OptiSLang

2024-10-17
2024-28-0040
Original equipment manufacturers have already begun to transition their vehicles from traditional internal combustion engines (ICs) to electric drives (EVs). As the industry continues to move towards electrification, the entire industry, and especially Valeo, is focusing on lean product development (LPD) with the help of numerical simulation. Optimization techniques help industry achieve the most accurate product at the lowest cost without sacrificing performance. Generally gears are mainly used for power transmission in the advanced technologies of electric vehicles. There are many factors that must be taken into account when designing a gear transmission system. Finding the most appropriate design parameters for a gear transmission system can be a challenge, and optimization parameters will help to find the best compromise between them.
Technical Paper

Solutions for being connected / locating fellow vehicles during group travel apart from sharing locations in maps

2024-10-17
2024-28-0029
The integration of Vehicle-to-Everything (V2X) communication technologies holds immense potential to revolutionize the automotive industry by enabling vehicles to communicate with each other (V2V) and with infrastructure (V2I). This paper investigates the feasibility of V2X and V2I communication, exploring available communication methods for vehicles to communicate. Many a times people like to travel together and it involves more than one vehicle travelling together , in such cases they often get lost the information about fellow vehicles due to the traffic condition and different driving behaviors of the individual driver. In such cases they communicate over phones to get to know the location of fellow vehicle or keep sharing their live locations . In such cases they don’t just follow the destination in maps also they should be continuously monitoring their fellow vehicles position.
Technical Paper

A Driver Safety System Using Raspberry Pi and Computer Vision

2024-10-17
2024-28-0030
Road safety remains a critical concern globally, with millions of lives lost annually due to road accidents. In India alone, the year 2021 witnessed over 4,12,432 road accidents resulting in 1,53,972 fatalities and 3,84,448 injuries. The age group most affected by these accidents is 18-45 years, constituting approximately 67% of total deaths. Factors such as speeding, distracted driving, and neglect to use safety gear increases the severity of these incidents. This paper presents a novel approach to address these challenges by introducing a driver safety system aimed at promoting good driving etiquette and mitigating distractions and fatigue. Leveraging Raspberry Pi and computer vision techniques, the system monitors driver behavior in real-time, including head position, eye blinks, hand position, and internal audio levels to detect signs of distraction and drowsiness.
Technical Paper

Enhancing the safety and handling of virtual vehicles in simulated traffic: A co-simulation approach with Multibody dynamics & Carla

2024-10-17
2024-28-0026
In recent years, there has been an increased emphasis on autonomous driving technologies to improve vehicle road safety amidst rising traffic congestion and the complexities of intersection, jaywalking and diverse road conditions. Therefore, improving the vehicle's handling ability is crucial for safe and efficient traffic navigation, particularly emphasizing collision prevention and safety in unforeseen circumstances. Evaluating safety perspectives in such situations, the lane change event serves as an important measure for addressing the matter and forms the focus of this paper. However, for such new age technology conducting proving ground tests replicating urban conditions is a costly endeavour. Hence, simulation is a better approach which can mimic real traffic conditions, develop control systems, and simulate vehicle handling behaviour, all working together within a closed-loop system.
Technical Paper

AI-ML-based approach for pedestrian safety simulations for predicting critical impact points on the vehicle bonnet.

2024-10-17
2024-28-0023
AI-ML has found extensive use in active and passive safety systems. Crash engineering is a critical research area where various predictive methods and estimations are used to infer test results. One such case study is for pedestrian simulations. Concerning figures show that up to 99 percent of Indian pedestrians are injured from accidents, putting them at a considerable risk of harm. Vehicles in a highly populated nation like India are being built with pedestrian safety in mind. This necessitates a thorough investigation of the vehicle's critical regions which can harm the pedestrians in order to make it safer. In many crashes the pedestrian is hit by the car first, then the ground, however the majority of fatal injuries are caused by the impact with the car. During the crash, the bumper first contacts the pedestrian's lower legs, the leading edge of the bonnet strikes the upper thigh or pelvis, and the top surface of the bonnet or windshield strikes the head and upper torso.
Technical Paper

Enhancing Driver Safety with Augmented Reality Navigation and Voice Control on the Windshield

2024-10-17
2024-28-0020
With the ever-increasing demands on drivers and the escalating complexity of road networks, ensuring safety and situational awareness has become paramount. In response to this pressing need, this paper introduces an innovative solution: an adaptive augmented reality (AR) navigation system enhanced with voice control functionality. The problem of distracted driving and inadequate navigation systems is pervasive, leading to increased accident rates and compromised driver safety. Thus, the purpose of this paper is to propose a comprehensive solution that addresses these challenges by integrating real-time data, advanced algorithms, AR visualization, and voice control. Our approach involves harnessing real-time data sources such as GPS navigation and traffic conditions, which are processed using sophisticated algorithms to generate dynamic AR visualizations overlaid onto the windshield.
Technical Paper

Design and Development of a Micromobility Smart Electric Scooter to Revolutionize Urban Commuting

2024-10-17
2024-28-0021
Urban areas around the world are facing an increasing number of issues, such asair pollution, parking shortages, traffic congestion, and inadequate transit options, all of which necessitate innovative solutions. Lot of people are becoming interested in micromobility in urban areas as a replacement for quick excursions and round trips to get to or from transportation services (e.g., Offices, Institutions, Hospitals, Tourist spots, etc.). This research examines the critical role that micromobility plays, concentrating on the effectiveness of micromobility smart electric scooters in resolving urgent urban problems. Micromobility which includes both human and electric-powered vehicles presents a viable substitute for normal and short-distance urban commuting. This study presents a micromobility smart electric scooter that is portable and easy to operate, with the goal of transforming urban transportation. 3D model was designed using SOLIDWORKS and analysed using ANSYS.
Technical Paper

Modelling and Simulation Approach for Fiber-Reinforced Polymer Components in Passenger Car Engine Mounting Brackets

2024-10-17
2024-28-0016
The function of powertrain mounts is to securely anchor the engine and gearbox within a vehicle, effectively absorbing vibrations and shielding the vehicle's body from powertrain movements and road irregularities. Traditionally crafted from aluminum, sheet metal, or cast iron, there has been a notable transition towards employing fibre-reinforced polymer (FRP) as a viable alternative. This shift is motivated by the potential to reduce weight and cost, alongside enhancing noise, vibration, and harshness (NVH) characteristics. This study aims to evaluate the relative strengths of existing brackets compared to those made of FRP, with a focus on their modal response and crash resistance. Due to the absence of a standardized method for modelling orthotropic materials in powertrain mounting brackets, this paper proposes a systematic approach to address this gap.
Technical Paper

Investigation of Mid-Frequency Interior Noise due to Tyre-Road Interaction

2024-10-17
2024-28-0005
Over the past twenty years, the automotive sector has increasingly prioritized lightweight and eco-friendly products. Specifically, in the realm of tyres, achieving reduced weight and lower rolling resistance is crucial for improving fuel efficiency. However, these goals introduce significant challenges in managing Noise, Vibration, and Harshness (NVH), particularly regarding mid-frequency noise inside the vehicle. This study focuses on analyzing the interior noise of a passenger car within the 250 to 500 Hz frequency range. It examines how tyre tread stiffness and carcass stiffness affect this noise through structural borne noise test on a rough road drum and modal analysis, employing both experimental and computational approaches. Findings reveal that mid-frequency interior noise is significantly affected by factors such as the tension in the cap ply, the stiffness of the belt, and the damping properties of the tyre sidewall.
Technical Paper

Integration of AI-powered vehicles with Smart City Infrastructure to transform the future of Automotive World

2024-10-17
2024-28-0028
Artificial Intelligence (AI) has emerged as a transformative force across various industries, revolutionizing processes and enhancing efficiency. In the automotive domain, AI's adaption has ushered in a new era of innovation and driving advancements across manufacturing, safety, and user experience. By leveraging AI technologies, the automotive industry is undergoing a significant transformation that is reshaping the way vehicles are manufactured, operated, and experienced. The benefits of AI-powered vehicles are not limited to their manufacturing, operation, and enhancing the user experience but also by integrating AI-powered vehicles with smart city infrastructure can unlock much more potential of the technology and can offer numerous advantages such as enhance safety, efficiency, growth and sustainability.
Technical Paper

Optimization and Validation of Pressure Switch Diaphragm for Lift Axle System

2024-10-17
2024-28-0018
Lift axle system is widely used in trucks and trailer to enhance the load carrying capacity by lowering the axle. Nowadays, this raising or lowering the axle is automated using electronic pressure switch. The Electronic pressure switch is used to sense the pneumatic pressure from Load Detection valve in Lift Axle control system and activates the solenoid valve which aids in filling the air in the lift bellows. The configuration used in this switch is Single Pole Double Throw (SPDT) which has 3 terminals such as 1 common contact,1 Normally open (NO) & 1 Normally closed (NC). The contacts of the switch change its state at forward switching pressure and returns to its normal state at the reverse switching pressure. Rubber diaphragm is one of the critical elements in this pressure switch which is used to avoid any leakage during the pressure transfer from the load detection valve. This rubber diaphragm is placed between the outer body of the switch and sensor holder.
Technical Paper

Numerical And Experimental Investigation Of Water Cooled Reciprocating Air Compressor Used in Automotive Applications

2024-10-17
2024-28-0014
Most of the heavy commercial vehicles are installed with Pneumatic brake system where the medium is a pressurized pneumatic air generated with the reciprocating air compressor. Heating is an undesirable effect of the compression process during loading cycles as reciprocating air compressors are concerned. There fore it is necessary to reduce the delivery air temperature of compressor for safer operation of down stream products. The present investigation deals with the measurement of the delivery air tempearture of a typical 318 cc water cooled compressor. A through steady state conjugate heat transfer analysis is conducted for different speed and different cooling water flow rate to compare the delivery air temperature. Pressure drop across the cooling water flow path has been measured and optimum flow rate is arrived to meet the design requirement.
Technical Paper

Synergistic 1-D and 3-D Analysis to Optimize the Performance and Reliability of the Reed Valve used in Reciprocating E-Compressor

2024-10-17
2024-28-0013
With the advent of electric and hybrid drivetrain in the commercial vehicle industry, electrically driven reciprocating compressors have gained widespread prominence. This compressor provides compressed air for key vehicle systems such as brakes, suspension systems and other auxiliary applications. To be a market leader, such an E-compressor needs to meet a myriad of design requirements. This includes meeting the performance by supplying air at required pressure and flow rate, durability requirements, oil free operation and having a compact design while maintaining cost competitiveness. The reed valve in such a compressor is a vital component, whose design is critical to meet the aforementioned requirements. The reed valves design has several key parameters such as the stiffness, natural frequency, equivalent mass, and lift distance which must be optimized. This reed valve also needs to open and close rapidly in response to the compressor operating speed.
Technical Paper

Design Optimization of Heat Transfer in Automotive Battery Using Generalized Neural Network Regression

2024-10-17
2024-28-0024
Electrification is driving the use of batteries for a range of automotive applications, including propulsion systems. Effective management of thermal energy in lithium-ion battery pack is essential for both performance and safety. In automotive applications especially, understanding and managing thermal energy becomes a critical factor. Cells in the propulsion battery pack dissipate heat at high discharge rates. Cooling performance of battery can be realized by optimizing the various parameters. Computational Fluid Dynamics (CFD) model build and simulations are resource intensive and demands high performance computing. Traditionally, evaluating thermal performance involves time-consuming CFD simulations. To address this challenge, the proposed novel approach using Generalized Neural Network Regression (GNNR) eliminates complex CFD model building and significantly reduce simulation time. GNNR achieves up to 85% accuracy in predicting heat transfer coefficient.
Technical Paper

Design Optimization of Air Duct for Noise Reduction Using Gaussian Process Regression Algorithm

2024-10-17
2024-28-0042
In the context of Battery Electric Vehicles (BEVs), airborne noise from Heating, Ventilation and Air Conditioning (HVAC) ducts becomes a prominent concern in the view of passenger comfort. The automotive industry traditionally leverages Computational Fluid Dynamic (CFD) simulation to refine HVAC duct design and physical testing to validate acoustic performance. Optimization of the duct geometry using CFD simulation is a time-consuming process as various design configurations of the duct have to be studied for best acoustic performance. To address this issue effectively, the proposed a novel methodology uses Gaussian Process Regression (GPR) to minimize duct noise. Present solution demonstrates the power of machine learning (ML) algorithms in selecting the optimal duct configuration to minimize noise. Utilizing both real test data and CFD results, GPR achieves remarkable accuracy in design validation, especially for HVAC air ducts.
Technical Paper

Powertrain NVH optimization of single cylinder IC engine

2024-10-17
2024-28-0001
With the increasing pursuit of comfort in mobility, NVH characteristics are becoming more important than ever. Achieving a benchmark beating NVH behavior involves optimizing source, transfer paths as well as target location mechanical characteristics. In ICE vehicles, powertrain accounts for a major source of noise and vibration. This work encompasses NVH refinement strategies for a single-cylinder compression ignition engine. The work starts with setting target values for NVH characteristics based on competitive benchmark data analysis. A complete development strategy involving extensive testing and CAE correlation is presented here. Contribution analysis in the component level for optimization of NVH behavior is carried out by employing NVH testing in an anechoic chamber supported by CAE simulations.
Technical Paper

Design Enhancement of Automotive Console Armrest Structure utilizing Finite element analysis-based Topology optimization

2024-10-17
2024-28-0003
This paper investigates the structural integrity of a console armrest structure for a four-wheeler automobile. The present analysis investigates to reduce the mass of the structure without compromising the structural integrity of the armrest model. Various loading conditions are employed to study the effects on the structure. Finite element analysis (FEA) approach is utilized to study the effects of various loading conditions on the structure. Topology optimization technique is employed to reduce the mass. The design criteria followed to achieve the mass reduction are kept in check by considering the global von-mises stress criterion, designable and non-designable areas of the structure. Linear structural analysis is conducted with Multipoint constraint (MPC) contacts and rigid body elements to perform the FEA analysis. Sequential Convex Programming (SCP) method is employed in topology optimization for performing the analysis.
Technical Paper

Failure Strength Optimization of a Cartridge Assembly Using Numerical and Experimental Analysis

2024-10-17
2024-28-0010
Abstract: Leak Before Break (LBB) is now widely applied in the pressure vessels and other pressurized components to failure by unstable crack initiation and propagation. This concept is also applicated in pneumatic brake system components to validate the structural rigidity of the devices. Pneumatic brake system component plays a vital role in the commercial vehicle platform. It consists of four major systems such as charging systems, actuating systems, control systems and actuators. Charging System includes compressor, reservoir, air dryer, and system protection valves. Compressor acts as an energy source for pneumatic air brake systems, reservoir is used to store the compressed air generated by the compressor, and system protection valves are used to divide and distribute the air flow to the brake system. Air dryer is used to absorb the moisture, oil particles and tiny foreign contaminant, regulate the system pressure, and blow off the excess pressure from the system.
X