Browse Topic: Mathematical models

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Simultaneous scheduling of machines, tool transporter and tools in a multi machine FMS with alternative routing using crow search algorithm in Automotive Manufacturing2026-28-0089To be published on 02/12/2026
In modern automobile manufacturing systems, achieving high efficiency in production scheduling is crucial for cost reduction and delivery optimization. This paper addresses the integrated scheduling problem of machines, Tool Transporters (TT), and tools with consideration of alternate machines in a multi-machine Flexible Manufacturing System (FMS) considering tool transfer times to minimize makespan, specifically within an automobile production context. Due to economic constraints, only a single copy of each tool type is maintained, stored centrally in a shared Central Tool Magazine (CTM), which serves multiple CNC machining centers involved in automobile component manufacturing. The problem is to select machines and assignment of tools to job-operations, job-operations’ sequencing on machines, corresponding trip operations including the dead heading trip and loaded trip times of tool transporter for makespan minimization. This paper introduces a nonlinear Mixed Integer Programming
Mareddy, Padma Lalitha, Natarajan, Manikandan, Katta, Lakshmi Narasimhamu, Siva Rami Reddy, Narapureddy
Parameter Selection Strategies for High-Performance WAAM Structures in Automotive Engineering2026-28-0033To be published on 02/12/2026
Wire Arc Additive Manufacturing (WAAM) has gained traction as an advanced fabrication technique for producing large, structurally demanding components in the automotive industry. Achieving high-performance WAAM structures requires precise control and selection of key process parameters, which directly influence mechanical strength, dimensional accuracy, and surface quality. This study investigates the effect of critical process variables—including wire feed rate, travel speed, current, voltage, and inter-layer cooling time—on the structural integrity of WAAM-fabricated components designed for automotive use. A systematic experimental approach, supported by statistical modeling and optimization tools, was employed to identify parameter combinations that yield optimal results. The outcomes demonstrate improved microstructural uniformity, reduced residual stresses, and enhanced tensile properties in the fabricated parts. The findings serve as a foundation for developing robust parameter
V, Aravind
Statistical Modeling of Wire Arc Additive Manufacturing Parameters Using Regression Analysis2026-28-0024To be published on 02/12/2026
Wire Arc Additive Manufacturing (WAAM) is gaining prominence for fabricating large metal components due to its high deposition rate and cost-effectiveness. However, the quality and performance of WAAM-fabricated parts are strongly influenced by process parameters such as wire feed rate, travel speed, arc voltage, and current. This study presents a statistical modeling approach using regression analysis to predict the effects of these key parameters on critical output responses, including bead geometry, surface roughness, and material deposition rate. Experiments were designed using a structured methodology, and the collected data were analyzed to develop linear and multiple regression models. The accuracy and reliability of the models were evaluated using statistical metrics such as R² and p-values. The results demonstrate that regression-based models can effectively predict WAAM outcomes, enabling process optimization and quality control. This approach provides a valuable tool for
Pasupuleti, Thejasree
A Mathematical Modelling Approach Based on Artificial Neural Network for Estimation of Key Parameters in Internal Combustion Engine2026-26-0659To be published on 01/16/2026
In a conventional powertrain driven by Internal combustion (IC) engines, various sensors are used to monitor engine performance and emissions. Along with physical sensors, virtual sensors or modelled values of key parameters play an important role for enabling various diagnostics strategies and engine monitoring. Conventional strategies for modelling incorporate the use of regression models, map-based models and physics-based models which have few drawbacks in terms of accuracy and model calibrations efforts. Data driven models or neural networks have fairly better accuracy and reliability for estimating complex parameters. Representing the neural network with a mathematics-based model would help to eliminate drawbacks associated with conventional modelling approach. The proposed methodology uses artificial intelligence technique called artificial neural network (ANN) for estimation of temperature at turbine inlet (TTI) in typical diesel engine. The data driven model is built in Python
Jagtap, Virendra Shashikant, Shejwal, Sanket, Mitra, Partha
Early Prediction of CNG Filling Time using Artificial Intelligence for Design Optimization2026-26-0662To be published on 01/16/2026
The CNG fuel system is a critical component in vehicle development and typically includes large-volume gas cylinders (up to 800 liters). As these vehicles often operate over long distances daily, frequent refueling is necessary, making a short gas filling time highly desirable. Currently, CNG filling time is evaluated after prototype development to determine the refueling duration. If the filling time is excessive, design changes to the fuel system are required, leading to significant cost and time penalties and causing delays in the vehicle product development cycle. By integrating AI/ML technology, a mathematical model has been developed based on various influencing parameters. This model will predict CNG gas filling time across all commercial vehicle platforms at the initial Zero design release gateway. This early prediction will enable further optimization to improve gas filling time. The goal of this research work to optimising the filling time for various platform before physical
Choudhary, Aditya Kant, Petale, Mahendra, Dutta, Surabhi, Bagul, Mithilesh
Novel Approach for Predicting Steering Rack Load Using Multibody Simulation2026-26-0378To be published on 01/16/2026
In the initial stages of a vehicle development program, the sizing of various components is a critical deliverable. The steering system, in particular, requires a precise estimation of the rack load for the appropriate sizing of the rack and assist units. Accurately predicting the load on the system during the early stages of development is challenging, especially in the absence of benchmark or legacy data. Commonly used processes for estimating parking steering effort often employ simplistic approaches that may fail to account for parameters such as tire size, vertical stiffness, and steering geometry, leading to reduced accuracy. This paper introduces an advanced methodology for predicting steering rack loads, which incorporates considerations such as contact patch size and pressure variation, as well as the tire jacking effect. The methodology involves mathematical modeling of the contact patch using mesh-grids, utilizing common inputs available in the early stages of vehicle
Shirke, Umesh, Dabholkar, Aniruddh, Bardia, Vivek, Srivastava, Harshit, Prasad, Tej Pratap
Analysis of design parameters of fuel cell stack design for vehicle level performance enhancement2026-26-0264To be published on 01/16/2026
The design of the fuel cell stack for enhanced power and voltage characteristics is essential as it impacts the drivability of the vehicles. While many experimental approaches have been explored to improve the performance of the fuel cell stack by refining its design, they are largely limited to trial-and-error based approaches. Hence, the task of identifying the critical parameters affecting the performance of the fuel cell stack becomes tedious. The process is further complicated when many parameters have a counterbalancing impact on the stack performance. To help refine the design process of the fuel cell stack for enhancing the performance, a sensitivity analysis based approach is proposed in this paper in which a mathematical model of the fuel cell stack relating the parameters and stack power, and voltage is used. As a baseline the reliability of the mathematical model is presented first demonstrating its utility for the current study. The parameters used include membrane
Inapakurthi, Ravi Kiran, Kumar, Bharat
Model Based Design of Gear Shift Control for Twin Clutch AMT2026-26-0054To be published on 01/16/2026
Model Based Design (MBD) uses mathematical modelling to create, test and refine systems in simulated environment, primarily applied in control system development. This paper discusses an approach to control gear shifting using shift logic on vehicle level for twin clutch transmission using prototype controller. Twin clutch transmission is a concept with two clutches, one at input end of the transmission called primary clutch and the other at output end of the transmission called secondary clutch. This concept is proposed to counter the challenges with conventional transmission which include increased gear shift time and effort in lower gears, potential rollback of vehicle in uphill condition and chance of missed shifts. The advantages of this concept include reduced gear shift effort and improved synchronizer life with potential for reducing the size of the synchro pack. This paper proposes a methodology to develop shift logic, integrate hardware with software, flashing and calibration
Patel, Hiral, Thambala, Prashanth, Tongaonkar, Yogesh, Mosthaf, Joerg, Malpure, Khushal
Material-Optimization in Rib-Stiffened Polymer structures: A Computational & Analytical Study2026-26-0498To be published on 01/16/2026
Background The demand for lightweight yet rigid polymer components continue to drive innovation in structural design, particularly for applications requiring optimal stiffness-to-weight ratios. This study examines an alternative rib-stiffening approach for polypropylene plates, where conventional single-rib geometries are reconsidered in favor of parallel micro-rib configurations. While single ribs have been extensively studied, the potential benefits of distributed rib architecture remain less explored, particularly regarding their combined bending and shear performance. Key objective: This study systematically evaluates how parallel rib configurations influence mechanical performance in polypropylene plates, with specific focus on:  Bending stiffness preservation through optimized moment of inertia distribution  Shear resistance enhancement via controlled rib spacing  Coupled effect of the bending and shear resistance Prior art and their limitations: Current literature primarily
Sreejith, M P, Jain, Deepak, Ravi, Abhikrishna, Maheshwari, Pankaj, Kumar, Mandeep
Propeller Shaft Yoke Phase and Inclination angle Optimization in Passenger Vehicles through Analytical Method2026-26-0348To be published on 01/16/2026
Customer satisfaction is the most important parameter to achieve the success in the highly competitive automobile industry. Comfortable ride and handling are one of the important aspects for customer viewpoint. Propeller shaft is the critical components in the vehicle to affect the smooth operation of the vehicle. Propeller shaft universal joint (UJ) phase and inclination angle significantly affect the vehicle performance during frequent braking and acceleration. So, for this conditions, comprehensive study of the propeller shaft should be performed for smooth operation. In this paper, Propeller shaft UJ phase and inclination angle optimization is studied through analytical method, which are very essential parameter for optimizing induced vibration performance and comfort. Propeller shaft characteristics influenced by several factors like vehicle torque, propeller shaft joint type, materials properties, UJ phase and inclination angle and shaft unbalance value. By optimizing the above
Kumar, Sarvesh, Sanjay, L, S, Manickaraja, Kanagaraj, Pothiraj
Leveraging Telematics Big Data Analytics for Real-Time Monitoring of Catalytic Converter Failures and Root Cause Identification for Emission Compliance2026-26-0591To be published on 01/16/2026
The automotive industry is continuously evolving at high pace to meet rising customer expectations, reliability, reduced maintenance, and most relevant, compliance with stringent emission norms. Traditionally, the analysis of vehicle emissions relies heavily on periodic inspections and manual checks. These conventional methods are often time-consuming, prone to human error, and lack the ability to provide real-time insights. Also, identifying Catalytic converter failures due to non-manufacturing issues require meticulous physical inspections and historical data reviews, which are not always accurate or timely. Telematics or Connected cars technology being one of the major technological innovations in recent times revolutionizes these processes by enabling real-time data exchange between vehicles and external systems. The current study presents an innovative approach to utilizing telematics data for real-time monitoring of vehicle emissions and pinpointing Catalytic converter failures
Dev, Triyambak, Prasad, Kakaraparti Agam, Kalkur, Varun, Modak, Saikat, AGARWAL, Shashank, Chandra, Animesh, Paul, Varsha, Garg, Amit, Sundararaman, Venkataraman, Bose, Sushant
A Novel Approach to Optimal Strain Gauge Placement for Structural Assessment: Integrating Close Looping Configuration with Calibration Techniques2026-26-0551To be published on 01/16/2026
Addressing the challenge of optimal strain gauge placement on complex structural joints and pipes, this research introduces a novel methodology combining strategic gauge configurations with numerical optimization techniques. Traditional methods often struggle to accurately capture combined loading states and real-world complexities, leading to measurement errors and flawed structural assessments. For intricate joints, a looping strain gauge configuration is proposed to comprehensively capture both bending and torsional effects, preventing the bypassing of applied loads. A calibration technique is used to create strain distribution matrices and access structural behavior under different loading conditions. Optimization algorithms are then applied to identify gauge placements that yield well-conditioned matrices, minimizing measurement errors and enhancing data reliability. This approach offers a cost-effective solution by reducing the number of gauges required for accurate stress
Shingate, Uttam, Yadav, Dnyaneshwar, Deshpande, Onkar
Effects of Battery Integration in modal behaviour of Electric Two Wheeler Frame2026-26-0310To be published on 01/16/2026
This research investigates the dynamic characteristics of an electric two-wheeler chassis through a combined experimental and numerical approach. The study commences with the development of a detailed CAD model, which serves as the basis for Finite Element Analysis (FEA) to predict the chassis's natural frequencies and mode shapes. These numerical simulations offer initial insights into the structural vibration behaviour crucial for ensuring vehicle stability and rider comfort. To validate the FEA predictions, experimental modal analysis is performed on a physical prototype of the electric two-wheeler chassis using impact hammer excitation. Multiple response measurements are acquired via accelerometers, and the resulting data is processed to extract experimental modal parameters. The correlation between the simulated and experimental mode shapes is quantitatively assessed using the Modal Assurance Criterion (MAC). This matrix provides a measure of the consistency and similarity between
Das Sharma, Aritrya, Iyer, Siddharth, Prasad, Sathish, Anandh, Sudheep
Low-speed steering returnability analysis and improvements through mathematical modeling and CAE simulation for SUV2026-26-0573To be published on 01/16/2026
In driving, steering serves as the input mechanism to control the vehicle's direction. The driver adjusts the steering input to guide the vehicle along the desired path. During maneuvers such as parking or U-turns, the steering wheel is often turned fully from lock to lock and then released. It is expected that the steering wheel quickly returns to its original position. Steering returnability is defined as the ratio of the difference between the steering wheel position at lock to lock and the steering wheel angle after 3 seconds of release, to the steering wheel angle at the lock position, under steady-state cornering conditions at 10 km/h. Industry standards dictate that the steering system should achieve 75% returnability under these conditions within 3 seconds. Achieving proper steering returnability characteristics is a critical aspect of vehicle design. Vehicles equipped with Electric Power-Assisted Steering (EPS) systems can more easily meet returnability targets since the
Singh, Ram Krishnan, ahire, Manoj, JAIN, PRIYA, Vellandi, Vikraman, SUNDARAM, RAGHUPATHI, Paua, Ketan
Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles2026-26-0257To be published on 01/16/2026
Hydrogen fuel cell electric vehicles (FCEVs) present a promising solution to environmental challenges such as emissions, global warming, and fossil fuel depletion. By utilizing hydrogen as a clean energy source, FCEVs achieve zero tailpipe emissions while maintaining high efficiency and extended driving ranges. Their development focuses on optimizing fuel cell architecture, hydrogen storage systems, and advanced power management strategies to enhance energy conversion under varying operational conditions. This requires precise design, simulation, analysis, and system integration to improve performance, durability, and sustainability. This study develops a high-fidelity mathematical model of a hydrogen Proton Exchange Membrane (PEM) fuel cell vehicle and implements advanced Energy Management Strategies (EMS). Using the forward approach method, the model accounts for the physical constraints of the powerplant. Detailed fuel cell system modeling accurately represents voltage loss
Mulik, Rakesh Vilasrao, E, Porpatham, Senthilkumar, Arumugam
Systemic modelling and simulation approach to estimate Brake response time in a Pneumatic brake systems2026-26-0469To be published on 01/16/2026
Brake response time in truck air brake systems is crucial for ensuring safety and operational efficiency. This paper presents the development of a simulation model designed to meet all necessary regulatory requirements for Brake response time and as an input to the stopping distance calculations. The actual pneumatic circuit, including brake valves, relay valves, brake chambers, and plumbing have been replicated. The focus is on utilizing 1D simulations to predict the compliance of response time during both the pressurizing (brakes applied) and depressurizing (brakes released) phases of the brake system. A mathematical model is developed using a commercially available 1D simulation tool. This model employs a lumped parameter approach for the pneumatic components, with governing equations derived from compressible flow theory and empirical valve flow characteristics. A parametric study is carried out on variables such as plumbing length, system pressure, and valve orifice diameters. The
Kumbar, Praful, Murugesan, Karthik, Shannon, Rick
Analysis of Energy Consumption for Heating City Electric Buses and Ways to Reduce It2026-26-0156To be published on 01/16/2026
For regions with cold climates, the driving range of electric buses becomes a significant obstacle to the broader adoption of this type of transport. The increased energy consumption affects not only the range of autonomous operation but also the lifespan of battery packs, the scheduling of bus departures, and the load on the charging infrastructure. In this context, finding ways to reduce the energy consumption of the climate control system is an actual issue. The aim of the presented research is to experimentally and computationally determine the energy consumption for heating the driver's cabin and passenger compartment of an electric bus during the autumn-winter operation period, as well as to identify and analyze ways to reduce this energy consumption. To determine the air temperature in the passenger compartment, a mathematical model based on heat balance equations was used. This model was validated using data from real-world tests. The research was conducted at a proving ground
Kozlov, Andrey, Terenchenko, Alexey, Stryapunin, Alexander
The Forecasting and Analysis of Container Throughput at Tianjin Port Based on Combination Forecasting Model2025-99-021612/23/2025
Accurate forecasting of port container throughput is essential for strategic port planning and infrastructure development. This paper systematically employed the GM (1,1) grey prediction model, quadratic exponential smoothing model and ARIMA model to forecast container throughput at Tianjin Port. Subsequently, a combined model was established through weighted integration of these individual predictors. The results demonstrated that the combined model achieved higher predictive accuracy and lower mean error compared to individual model, thereby providing valuable insights for Tianjin Port’s strategic development planning.
Shi, Yujie, Zhou, Xin
Predictive Analysis of Slip Distance of Highway Loess Slopes Based on Intense Rainfall Infiltration2025-99-024112/23/2025
Based on field investigations of loess slopes along highways in the Lüliang region, a numerical infiltration model of highway loess slopes was established using the ABAQUS finite element software. The study examined the time to plastic zone coalescence and variations in infiltration range under two intense rainfall scenarios for slopes of different heights. Furthermore, a landslide numerical model of the loess slope was constructed using the FEM-SPH method, and a predictive formula for landslide runout distance of highway loess slopes was derived through data fitting.The results indicate that under the same slope height, increased rainfall intensity leads to a certain degree of reduction in landslide runout distance. Conversely, under the same rainfall condition, greater slope height significantly increases the runout distance. This study provides a theoretical foundation and methodological support for stability evaluation and runout distance prediction of loess slopes under intense
Liu, Manfeng, Li, Hong
Fuzzy Logic-Based Traction Control for a 4WD In-Wheel Electric Formula Vehicle2025-36-011412/18/2025
Vehicle dynamic control is crucial for ensuring safety, efficiency and high performance. In formula-type electric vehicles equipped with in-wheel motors (4WD), traction control combined with torque vectoring enhances stability and optimizes overall performance. Precise regulation of the torque applied to each wheel minimizes energy losses caused by excessive slipping or grip loss, improving both energy efficiency and component durability. Effective traction control is particularly essential in high-performance applications, where maintaining optimal tire grip is critical for achieving maximum acceleration, braking, and cornering capabilities. This study evaluates the benefits of Fuzzy Logic-based traction control and torque distribution for each motor. The traction control system continuously monitors wheel slip, ensuring they operate within the optimal slip range. Then, torque is distributed to each motor according to its angular speed, maximizing vehicle efficiency and performance
Oliveira, Vivian Fernandes, Hayashi, Daniela Tiemi, Dias, Gabriel Henrique Rodrigues, Andrade Estevos, Jaqueline, Guerreiro, Joel Filipe, Ribeiro, Rodrigo Eustaquio, Eckert, Jony Javorski
Multi-Contact-Point Tire Model Applied to the Study of the Longitudinal and Vertical Dynamics of a 6x6 Military Vehicle2025-36-011212/18/2025
The present study aims to utilize a tire mathematical model that incorporates multiple contact points between the tire and the ground to provide a more accurate and realistic representation of the vertical and longitudinal dynamics of the Guarani 6x6 Armored Personnel Carrier (APC), a medium-wheeled vehicle used by the Brazilian Army. First, the subsystems involved in the longitudinal dynamics of the Guarani APC are introduced and modeled using TMeasy, a physical-mathematical model for tire slip behavior. Subsequently, the subsystems associated with the vehicle’s vertical dynamics are presented and modeled based on Ageikin’s concepts of obstacle negotiation. Finally, the longitudinal and vertical models are integrated to develop a multi-contact-point model with enhanced completeness, considering their mutual influence on each other. The modeling process is conducted within the Simulink® environment of MATLAB®. In each stage, simulations validate the proposed model’s suitability in
Godinho, Gabriel Asvolinsque, Costa Neto, Ricardo Teixeira
Multi-Physics Numerical Modelling of a Magnetorheological Braking System2025-36-005012/18/2025
The global effort to reconsider transport in compliance with ecological challenges leads to a significant increase in the market share of Electric Vehicles (EVs), enlightening secondary sources of pollution. One of the most important is the particles emitted by the abrasion of braking pads. The innovative system addressed in this paper is among the most promising non-polluting solutions to ensure safety and comfort. It uses the capability of the Magneto-Rheological Fluid (MRF) to change its properties when subjected to a magnetic field, generating a braking torque between a stator and a rotor. This study focuses on characterizing the system's performance and endurance during an emergency braking situation by developing a numerical model that involves fluid and structural considerations. This model takes the form of a Finite-Element Model (FEM) that interpolates local forces determined from Computational Fluid Dynamics (CFD) and takes them as input. It enables analysis of the stresses
de Carvalho Pinheiro, Henrique, Billiant, Lucas, Imberti1, Giovanni, Carello, Massimiliana
Refrigerants Selection for Automotive Air Conditioning System in Tropical Climates2025-36-014312/18/2025
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Oliveira Dias, Vinícius José de, Barbieri, Paulo Eduardo Lopes, Moreira, Thiago Augusto Araújo, Santos, Alex Henrique, Freitas Paulino, Tiago de
Parameter Estimation and Analysis of the Vertical Dynamics of an 8WD Military Vehicle2025-36-002812/18/2025
Vehicle dynamics encompasses a vehicle’s motion along three principal axes: longitudinal, lateral, and vertical. The vertical component is particularly susceptible to vibrational forces that can impair passenger comfort and overall performance, and the suspension system filters these vibrations. Engineers and designers conduct various studies to enhance quality and develop innovative designs in this context. However, when it comes to military vehicles, this system is often treated as classified. Consequently, the proposed work aims to determine the parameters of this system for a wheeled military vehicle with four axles. To achieve this, a mathematical model is proposed utilizing the concepts of power flow and kinematic transformers through a modular system, intended to serve as the foundation for solving an inverse problem to identify these parameters. This approach employs two stochastic methods, particle swarm optimization (PSO) and differential evolution (DE), and field tests to
de Oliveira, André Noronha, Bueno Caldeira, Aldélio, da Costa Neto, Ricardo Teixeira
Turbulent Jet Ignition Engine: Calibration of Flame Multipliers for Combustion Model2025-36-023912/18/2025
With the implementation of increasingly stringent regulations for pollutant emissions, such as Proconve L8 [1], which requires a 37% reduction in NOx and non-methane organic gases (NMOG) emissions for light passenger vehicles compared to previous regulations, the automotive engineering community is constantly evolving to develop prediction models that are capable of predicting the performance of Internal Combustion Engines (ICE). With this, the society search solutions to increase fuel conversion efficiency and reduce fuel emissions. In a special case, related to the study of the turbulent jet ignition (TJI) engine, there was a need to develop a refined numerical model that allows for the accurate design of the ignition pre-chamber geometry. In view of this, a one-dimensional modeling was carried out in the GT-SUITE ® software, in its modeling environment for Internal Combustion Engines (ICE), GT-POWER ®, with the objective of determining its ideal volume, parameters such as internal
Silva, Arthur Medeiros, Souza, Ediwaldo Júnio de, Rocha, Hiago Tenório Teixeira Santana, Filho, Fernando Antônio Rodrigues, Guzzo, Márcio Expedito, Oliveira, Wender Pereira de, Baeta, José Guilherme Coelho
Methodology for Characterizing the Spray of an Internal Combustion Engine Fuel Injector2025-36-019412/18/2025
This study presents a methodology for characterizing the spray of an internal combustion engine (ICE) fuel injector, focusing on direct injection (DI) systems. It addresses the knowledge gap in academic research regarding injector spray patterns by conducting experimental tests and numerical simulations. Using a Bosch HDEV 1.1 pressure swirl injector and EXXSOL D60 test fluid, spray characteristics were captured with a high-speed camera under varying injection pressures and ambient/counterpressure conditions. These experimental data were used to calibrate a numerical model for simulating spray dynamics within the combustion chamber. The research examines the impact of parameters such as breakup length and breakup size constant on spray behavior, revealing that the breakup size constant significantly affects spray penetration. The study successfully developed and validated a methodology for characterizing and modeling fuel injector sprays, providing a valuable reference for optimizing
Paula Araújo, Gabriel Heleno, Assis, Marcelo Suman Silva, Malaquias, Augusto Cesar Teixeira, Carvalho Torres Filho, Marcos, Baeta, José Guilherme Coelho
Gear Ratio Variation Concept Influence on Energy Efficiency Optimization of Light Vehicles2025-36-010412/18/2025
The growing concern regarding global warming pushes the contribution of all emitting sources to mitigate greenhouse gases. The significant light passenger vehicle fleet deserves continued attention, both in the implementation of more efficient new technologies and in the optimization of conventional technologies, which are still widely used. The vehicle’s energy efficiency is directly influenced by the coupling of the internal combustion engine to the transmission system. Engines have a restricted operation region of maximum efficiency that must be adequately explored by the transmission system in the different conditions of vehicle use. Thus, this paper analyzes and quantifies the sensitivity of the vehicle’s energy efficiency of two distinct engine technologies, naturally aspirated and turbocharged, coupled to an automatic transmission system with six discrete or continuously variable gears. Experimental data on the overall efficiency of the engines and the transmission concepts
Rovai, Fernando Fusco, Menezes Lourenço, Maria Augusta de, Rohrig, Marcelo
Advanced Geological Prediction and Monitoring Measurement for Tunnels in Water-Rich Sections Near Reservoir Areas2025-99-032912/17/2025
In order to ensure the construction safety of tunnels in water-rich sections near reservoir areas, it is very important to adopt comprehensive and reliable advanced geological prediction technology combined with on-site monitoring and measurement. Taking the Chenlingding tunnel as an example, through the comprehensive geological prediction of the broken rock section near the reservoir, the numerical model of the broken rock section was established, and compared with the field measurement data. The results show that the comprehensive advanced geological prediction system combining short, medium and long distances, such as geological radar, seismic wave reflection method and advanced horizontal drilling, has high accuracy in adverse geology, rock fragmentation and water rich conditions in the tunnel; The rich water condition, fault information and rock engineering geology provided by the advanced geological prediction can provide reliable guarantee for the tunnel excavation scheme, the
Dai, Yunfei, Feng, Meijie, Liu, Dacheng, Tang, Xianyuan
Development of an Adaptive Algorithm for the Automatic Emergency Braking System10-10-01-000812/13/2025
Automatic emergency braking (AEB) systems are crucial for road safety but often face performance challenges in complex road and climatic conditions. This study aims to enhance AEB effectiveness by developing a novel adaptive algorithm that dynamically adjusts braking parameters. The core of the contribution is a refined mathematical model that incorporates vehicle-specific correction coefficients and a real-time prediction of the road–tire friction coefficient. Furthermore, the algorithm features a unique driver-style adaptation module to optimize warning times. The developed system was functionally tested on a vehicle prototype in scenarios including dry, wet, and snow-covered surfaces. Results demonstrate that the adaptive algorithm significantly improves collision avoidance performance compared to a non-adaptive baseline, particularly on low-friction surfaces, without introducing excessive false interventions. The study concludes that the proposed adaptive approach is a vital step
Petin, Viktor, Keller, Andrey, Shadrin, Sergey, Makarova, Daria, Antonyan, Akop, Furletov, Yury
Identification of Runway Friction Coefficient Using Extended Kalman Filter09-13-02-001212/11/2025
Aircraft operations during landing or takeoff depend strongly on runway surface conditions. Safe runway operations depend on the tire-to-runway frictional force and the drag offered by the aircraft. In the present research article, a methodology is developed to estimate the braking friction coefficient for varied runway conditions accurately in real-time. To this end, the extended Kalman filtering technique (EKF) is applied to sensor-measured data using the on-ground mathematical model of aircraft and wheel dynamics. The aircraft velocity and wheel angular velocity are formulated as system states, and the friction coefficient is estimated as an augmented state. The relation between the friction coefficient and wheel slip ratio is established using both simulated and actual ground roll data. Also, the technique is evaluated with the simulated data as well as real aircraft taxi data. The accuracy of friction estimation, with and without the measurement of normal reaction force on the
T.K., Khadeeja Nusrath, Singh, Jatinder
Aircraft Cross Taxiing Conflict Prediction and Avoidance Methods2025-99-042312/10/2025
With the rapid development of the civil aviation industry, the increasing number of flights has made ensuring the safety and efficiency of airport surface movements a pressing issue. This study establishes a mathematical model to predict the collision risk of aircraft in the intersection area in real time, and proposes appropriate intervention zones for avoidance, implementing a deceleration avoidance strategy. The model is validated using historical operational data from Beijing Capital International Airport, and the results indicate that the proposed model effectively reduces the collision probability to below 0.3. It demonstrates strong performance in predicting cross-path conflicts and reducing conflict risks. Additionally, the deceleration avoidance strategy further lowers the collision probability, improving both the safety and efficiency of airport surface operations. This research offers valuable insights for enhancing the operational efficiency and proactive safety levels of
Zhang, Ting, Lian, Guan, Zhang, Guoxin, Zhao, Yeqi
Research on Vibration Tension Control of High-Speed Tracked Vehicle Systems2025-99-042412/10/2025
Addressing the vibration issues during the operation of high-speed tracked vehicles, a dynamic tension control method based on an electro-hydraulic servo system is investigated, along with a comparative study of two tension control strategies. Based on the force analysis of the idler wheel and curved arm, a theoretical model for tension near the idler wheel is established. The accuracy of this theoretical numerical model is verified by comparing it with the results of multibody system dynamics simulations conducted in RecurDyn. A co-simulation platform for electro-hydraulic servo control is built using the software interfaces of RecurDyn, Simulink, and AMESim to tune the PID control parameters and achieve dynamic tension control of the track. Simulation results indicate that the root mean square value of the track plate displacement is reduced by 18% when using the PID control strategy, and by 33.3% when employing the fuzzy PID control strategy. Furthermore, the track tension
Huang, Zhangxian, Deng, Jiahui
Investigation of Roll Motion Behavior in a Multi-Functional High-Speed Trimaran Unmanned Vessel2025-99-043912/10/2025
This study focuses on the multifunctional three-body high-speed unmanned boat model, and experimentally measures the roll attenuation characteristics under different draft conditions. It focuses on the influence of the initial roll angle on roll attenuation, and analyzes the change pattern of roll angle over time. Experimental results show that the model shows obvious self-oscillation period and amplitude attenuation. Based on the system identification theory and combined with improved genetic algorithms, a mathematical model used to simulate the roll attenuation motion of the boat model was constructed. The difference between experimental data and fitted values was further evaluated using identification software and verified with data at specific roll angles. In addition, the study also deeply analyzed the change trend of the roll moment coefficient with the initial roll angle. By comparing the experimental results of the three-mall boat and the catamaran, it was found that the three
Zhang, Di, Tong, Wei, Yu, Qingzhu, Liu, Bofei
Lumped Parameter Thermal Network for Automotive Components: Modeling, Simulation, System Identification, and Parameter Estimation2025-01-507811/28/2025
This research paper proposes a framework based on lumped parameter thermal networks (LPTN) to understand the system behavior of thermally stressed component spaces in automotive vehicles. LPTNs offer an energy-based, low-degree-of-freedom model that can represent arbitrary thermal systems inside automotive vehicles. The time response of these low-order models can be calculated using standard ordinary differential equation solvers. The paper showcases the modeling of LPTNs and the calculation of their time response by using an electronic control unit (ECU) of a BMW 7 series. The use of LPTNs instead of exponential functions reduced the MAE in this example by 60.5%. Furthermore, a system identification approach for experimental temperature curves has been developed and implemented. System identification aims to mathematically model system behavior and predict system output. This paper compares least-square estimation (LSE) with constrained minimization (CM), where CM has a higher MAE by
Kehe, Maximilian, Enke, Wolfram, Rottengruber, Hermann
Data-Based Modeling of Power-Split Hybrids Using Cascaded Neural Networks2025-01-052211/25/2025
Power-split hybrid powertrains represent one of the most advanced and complex types of powertrain systems. The combination of multiple energy sources and power paths offers great potential but results in complex interactions that require improved strategies for optimal efficiency and emission control. The development and optimization of such operating strategies typically involve algorithms that demand fast computational environments. Traditional high-accuracy numerical simulations of such a complex system are computationally expensive, limiting their applicability for extensive iterative optimizations and real-time applications. This paper introduces a data-based approach designed specifically to address this challenge by efficiently modeling the dynamic behavior of power-split hybrid powertrains using cascaded neural networks. Cascaded neural networks consist of interconnected subnetworks, each specifically trained to represent individual drivetrain components or subsystems. This
Frey, Markus, Itzen, Dirk, Yang, Qirui, Grill, Michael, Kulzer, André Casal
Development of a Comprehensive Predictive QD Knock Simulation Model for Hydrogen, Methanol, and an Ammonia–Hydrogen Blend2025-01-052811/25/2025
To support the transition toward climate-neutral mobility and power generation, internal combustion engines (ICEs) must operate efficiently on renewable, carbon-neutral fuels. Hydrogen, methanol, and ammonia-hydrogen blends are promising candidates due to their favorable production pathways and combustion properties. However, their knock behavior differs significantly from conventional fuels, requiring dedicated simulation tools. This work presents a modeling framework based on quasi-dimensional (QD) engine simulation, including two separate knock prediction models. The first model predicts the knock boundary of a given operating point and combines an auto-ignition model with a knock criterion. The overall methodology was originally developed for gasoline and is here adapted to hydrogen, methanol, and ammonia-hydrogen blends. For this purpose, the relevant fuel properties were incorporated into the auto-ignition model, and a suitable knock criterion was identified that applies to all
Benzinger, Steffen, Yang, Qirui, Grill, Michael, Kulzer, Andre Casal, Plum, Lukas, Hermsen, Philipp, Günther, Marco, Pischinger, Stefan, Hurault, Florian, Foucher, Fabrice, Rousselle, Christine
Hydro-Pneumatic Suspension Optimization for Mining Explosion-Proof Vehicles in Underground Coal Mines2025-99-010611/11/2025
This study investigates the critical factors influencing the performance of hydro-pneumatic suspension systems (HPSS) in mining explosion-proof engineering vehicles operating in complex underground coal mine environments. To address challenges such as poor ride comfort and insufficient load-bearing capacity under harsh mining conditions, a two-stage pressure HPSS was analyzed through integrated numerical modeling and field validation. A mathematical model was established based on the structural principles of the suspension system, focusing on key parameters including cylinder bore (195–255 mm), piston area (170–210 mm), damping orifice diameter (7–8 mm), check valve flow area, and accumulator configurations (low-pressure: 1.2 MPa, high-pressure: 6 MPa). Experimental trials were conducted in active coal mines, simulating typical mining scenarios such as uneven road surfaces (120 mm obstacles), heavy-load gangue transportation, and confined-space operations in thin coal seams (<1.5 m
Song, Yan, Liang, Yufang
A Theoretical Approach to Secure Protocols for Ultra-Reliable Low-Latency Communication (URLLC) in V2X Systems2025-28-032611/06/2025
Ensuring secure and ultra-reliable low-latency communication (URLLC) is critical for Vehicle-to-Everything (V2X) systems, which form the backbone of autonomous transportation. This paper presents a theoretical framework for designing secure communication protocols tailored for V2X systems with stringent latency and reliability requirements. The proposed framework incorporates dynamic message prioritization, adaptive encryption, and lightweight authentication to address the unique challenges of V2X networks. The study provides mathematical models to predict latency and security performance under varying network conditions, with a focus on scalability and efficiency. This work aims to contribute a foundational approach for future advancements in URLLC protocols in autonomous vehicle ecosystems.
Imran, Shaik Moinuddin
A Load Cell-Free Solution for Weighing2025-28-034611/06/2025
Large farms cultivating forage crops for the dairy and livestock sectors require high-quality, dense bales with substantial nutritional value. The storage of hay becomes essential during the colder winter months when grass growth and field conditions are unsuitable for animal grazing. Bale weight serves as a critical parameter for assessing field yields, managing inventory, and facilitating fair trade within the industry. The agricultural sector increasingly demands innovative solutions to enhance efficiency and productivity while minimizing the overhead costs associated with advanced systems. Recent weighing system solutions rely heavily on load cells mounted inside baling machines, adding extra costs, complexity and weight to the equipment. This paper addresses the need to mitigate these issues by implementing an advanced model-based weighing system that operates without the use of load cells, specifically designed for round baler machines. The weighing solution utilizes mathematical
Kadam, Pankaj
Impact of Enhanced Physics-Based Estimation Modeling for Trapped Air and EGR in Real-Time Control of Hydrogen Injection in a PFI Internal Combustion Engine2025-32-004711/03/2025
Hydrogen PFI engines face abnormal combustion issues, especially during transient operation. The air-to-fuel ratio and trapped exhaust gas significantly affect combustion stability and NOx emissions, requiring continuous monitoring. Real-time estimation of the trapped gas composition and thermodynamic state is therefore crucial but challenging. This work introduces a real-time, physics-based Multi-Input-Multi-Output (MIMO) model for accurately estimating trapped air and exhaust gas mass at the intake valve closing (IVC) event. In detail, the estimation model makes use of dynamic in-cylinder and exhaust pressure measurements to accurately model mass flows and heat exchange equations with 0.5 CAD resolution. This allows extremely high fidelity when modelling the physical properties of the various chemical species along the engine cycle. Moreover, the model calibration appears only in the form of two coefficients implemented on a lookup table for twelve different operating points
Galli, Claudio, Ferrara, Giovanni, Grilli, Niccolò, Balduzzi, Francesco, Romani, Luca, Vichi, Giovanni
Experimental Investigation and 1D Modeling of a Small-Scale PEM Fuel Cell Power System2025-32-004011/03/2025
Fuel cell technology is currently emerging as a promising option for efficient and flexible energy production. Proton Exchange Membrane Fuel Cells (PEMFCs) are distinguished as a suitable solution for many sectors, including residential, road transport and industrial applications due to their high efficiency, low operating temperature and fast start-up times. In this framework, the present study presents a detailed experimental characterization of a small-scale PEMFC through a reverse engineering approach. A Horizon H-500 fuel cell was subjected to a comprehensive series of experimental tests, which included polarization curve analysis and electrochemical impedance spectroscopy, to assess its efficiency and operational behavior under different conditions. Once the validity of the recorded data is verified, the fuel cell has been disassembled and each subcomponent has been used for a comprehensive understanding of the main structural parameters that are often assumed or derived from
Antetomaso, Christian, Di Maio, Dario, Cecere, Giovanni
Advanced 3D Simulations of a Four-Stroke High-Performance Engine Valvetrain for the Analysis of the Mechanical Stresses and Energy Losses2025-32-001011/03/2025
Enhancing the performance of naturally aspirated 4-stroke engines relies heavily on improving trapping efficiency, increasing maximum engine speed, and reducing friction losses. In this regard, the valvetrain plays a critical role. Achieving high volumetric efficiency at higher engine speeds necessitates very steep valve opening and closing ramps, making this aspect pivotal in the design process. At high engine speeds, significant dynamic phenomena arise, including valve float during the lift phase and valve bounce during the closing phase. These effects not only induce substantial modifications to the valve lift curve but also increase the mechanical stress on critical components such as the valve and the rocker arm, thereby elevating the risk of failure. Moreover, the timing system substantially contributes to overall engine losses due to frictional energy dissipation, which results from the numerous interactions between moving components. The present work aims to develop a numerical
Tarchiani, Marco, Pizzicori, Alessio, Raspanti, Sandro, Romani, Luca, Meli, Enrico, Ferrara, Giovanni, Trassi, Paolo
Temperature Effect on Fatigue Performance of Thermoset and Thermoplastic Composites2025-32-000611/03/2025
The growing demand for lightweight, durable, and high-performance materials in industries such as aerospace, automotive, and energy has driven the development and evaluation of thermoset and thermoplastic composites. Within this framework the static and fatigue mechanical behavior of one thermoset material and two thermoplastic composites are investigated in the (-30° +120°C) temperature range, to simulate extreme environmental conditions. The results from the tensile tests show the different mechanical behavior of the investigated materials, while the cyclic test results highlight the significant impact of temperature on structural properties, offering useful insights for their application in temperature-sensitive environments. This research is partially funded by the Italian Ministry of Enterprises and Made in Italy (MIMIT) within the project ”New Generation of Modular Intelligent Oleo-dynamic Pumps with Axial Flux Electric Motors,” submitted under the ”Accordi per l’Innovazione
Chiocca, Andrea, Sgamma, Michele, Franceschini, Alessandro, Vestri, Alessio, mancini, Simone, Bucchi, Francesco, Frendo, Francesco, Squarcini, Raffaele
Numerical Analysis of Deformation Adjustment on Wide Subgrade in Permafrost Region by Prefabricated Bridge-Type Pavement2025-99-005710/17/2025
Uneven thawing of frozen soil in the subgrade of wide highway leads to settlement difference of the pavement, which affects the driving comfort. The prefabricated bridge-type pavement mitigates the disease of wide subgrade in permafrost region by applying prefabricated slabs in the subgrade. In order to verify the deformation adjustment effect on wide subgrade of prefabricated bridge-type pavement, earth-filled pavement and prefabricated bridge-type pavement numerical models were established and subgrade mechanical behaviors were analyzed under frozen soil thawing in active layer, frozen soil thawing in localized deteriorated zone and vehicle loading. Comparative analysis of pavement settlement of earth-filled pavement and prefabricated bridge-type pavement under various cases is carried out. The results show that the maximum settlement of prefabricated bridge-type pavement decreases by about 32%~48%, and the settlement difference decreases by about 45%~65%, which has a good adjustment
Yu, Yuanqing, Zhang, Li, Wang, Shan, Cheng, Litao
Optimal Control Strategy for Dual-Motor EVs with CVT: Comparison of Simulation of Steady-State and Dynamic Programming Methods2025-01-040710/07/2025
This study investigates an optimal control strategy for a battery electric vehicle (BEV) equipped with a high-speed motor and a continuously variable transmission (CVT). The proposed dual-motor powertrain model activates only one motor at a time, with Motor A routed through a CVT and Motor B through a fixed gear. To improve energy efficiency, two optimization methods are evaluated: a quasi-steady-state map-based approach and a dynamic programming (DP) method. The DP approach applies Bellman’s principle to derive the globally optimal CVT ratio and motor torque trajectory over the WLTC cycle. Simulation results demonstrate that the DP method significantly improves overall efficiency compared to traditional control logic. Furthermore, the study proposes using DP-derived maps to refine practical control strategies, offering a systematic alternative to conventional experimental calibration.
Zhao, Hanqing, Moriyoshi, Yasuo, Kuboyama, Tatsuya
Improving the Performance of Asphalt Paver Machine Based on the Experiment Analysis and Control of Excitation Forces02-19-02-000809/30/2025
The excitation forces of the tamper pairs in the vibrational screed system not only affect the road density but also affect the road surface quality. Thus, to enhance the performance of the asphalt paver machine, an experimental study of an asphalt paver machine is carried out to evaluate in detail the effect of the excitation frequencies of the tamper pairs and vibrator screed on the density and quality of the road surface. From the actual structure of the vibrational screed system of the asphalt paver machine used in the experiment, its mathematical model is then built to calculate the vibration equations. The fuzzy controller is then applied to control the deflection angles between the tamper pairs to enhance the working performance of the vibrational screed system. The study result shows that both the excitation frequencies of the tamper pairs (ftp ) and vibrator screed (fvs ) greatly affect the density and quality of the road surface. To increase the compression density of the
Song, Fengxiang, Ren, Shage, Nguyen, Vanliem
Posture Prediction Data Used for Manikin Placement in Ground Vehicle Design2025-01-047209/16/2025
The objective of this effort is to create a methodology to posture and position equipped manikins in Computer-Aided Design (CAD) software for ground vehicle workstation design. A collaborative effort is taking place to evaluate the current practices used to posture and position both physical and digital human representations. The goal of the group is to determine how best to utilize posture and position data to update positioning procedures. Data from the Seated Soldier Study and follow-on studies is being utilized to develop statistical models using multivariate analysis methods. Design is the first area of focus across the broader design-develop-evaluate process. The products to address this need are parametric CAD accommodation models with imbedded Digital Human Models (DHMs). Developing updated positioning procedures for each of the manikins will provide a traceable justification for positioning manikins based on Soldier data.
Huston II, Frank, Zielinski, Gale, Reed, Matthew
Active Online Estimation of the Electromechanical Brake Coulomb Friction2025-01-034209/15/2025
Electro-mechanical braking (EMB) system has emerged as a potential candidate that serves the brake-by-wire technology. Several mechanisms are used to transmit the clamp force, where each has efficiency losses due to static friction and viscous damping. Compensating these losses is essential for accurate responses such that meeting the performance goal and improving the stopping distance of the EMB. Mathematical and empirical models are used to estimate these losses so that clamp force is accurately estimated and controlled. However, none of these models are capable of addressing the part-to-part variation or predicting the impact of other noise factors on these losses such as operating temperature and degradation. The purpose of this work is to online estimate the EMB coulomb friction by introducing an external torque command over a period of time while observing the system’s response. This approach continuously measures the coulomb friction while the system is in normal operation
Aljoaba, Sharif, Ramakrishnan, Raja, Dobbs, Jeremy
Optimum Design and Sizing Approach for a Series-Hybrid Vehicle2025-24-009909/07/2025
The need to reduce pollutant emissions has pushed the automotive industry towards sustainable mobility promoting new technological solutions, among which the use of hybrid powertrains stands out. The development of a hybrid architecture is very complex and demands proper components sizing and the determination of optimized power-split strategies among different power sources, for example: Internal Combustion Engine (ICE), electric generator/motor and batteries. Moreover, the experimental analysis regarding performance and emissions requires that the whole propulsive system must be set up on the test bench, hence, negatively affecting the cost of the entire design phase. In this scenario, an optimum design and sizing approach for a series-hybrid electric vehicle (S-HEV) is proposed aiming at a design cost reduction. The presented procedure relies on numerical modelling of the hybrid powertrain and on the optimization of the fuel consumption and the driving range. The series-hybrid
Lisi, Leonardo, Saponaro, Gianmarco, Episcopo, Domenico, Torresi, Marco, Camporeale, Sergio Mario
Development and Parameterization of a Physics-Based Ageing Model for Li-Ion Battery Cells2025-24-014009/07/2025
Although significant progress has been made on developing electrochemical models of Li-ion batteries performance, there is a significant gap in predictive, physics-based modelling of the degradation mechanisms. In this work, we perform a systematic experimental and modelling study to explore the potential of predictive battery ageing models. A commercial NMC pouch cell is initially characterized in detail using tear-down analysis, electrical and electrothermal tests to obtain electrochemical model parameters and validate its fidelity in a large range of operating conditions in terms of temperature, state-of-charge and load. The cell is then exposed to accelerated ageing operating conditions and its performance is monitored regularly to obtain its degradation rate in terms of capacity and resistance. The aged cell is also characterized by tear-down and optical techniques. The experimentally obtained test database is used to develop and validate the mathematical models that describe the
Koltsakis, Grigorios, Spyridopoulos, Spyridon, Chatziioannou, Panteleimon, Tentzos, Michail
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