Browse Topic: Vehicle performance

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Look-ahead Information based Predictive Cruise Controller for Energy Efficient Powertrain Operation of Heavy-Duty Electric Trucks2026-01-0039To be published on 04/07/2026
Heavy-duty electric trucks represent a growing innovation in the transport and logistics sector, aiming to reduce emissions and reliance on fossil fuels. A major challenge with battery electric trucks is the long recharging time which takes significantly longer than refueling conventional diesel trucks. This limitation highlights the importance of optimizing powertrain operations to reduce energy losses and maximize efficiency. One effective approach is implementing optimal speed control through a predictive cruise controller. By anticipating road conditions, traffic, and elevation changes, the predictive cruise controller can adjust the truck’s speed in real time to minimize energy consumption, enhancing the range and reducing the need for frequent charging. Many problem formulations for electric trucks focus primarily on minimizing the energy required at the wheels, often overlooking the impact of powertrain efficiencies. This simplification neglects critical factors such as the
Safder, Ahmad Hussain, Villani, Manfredi, Khuntia, Satvik, Nelson, James, Meijer, Maarten, Ahmed, Qadeer
Research on Vehicle Lateral Stability Under Flow Impact During Wading2026-01-0624To be published on 04/07/2026
The growing frequency of extreme rainfall events attributable to global climate change has heightened concerns regarding flood-related hazards to road traffic safety. Under wading conditions, vehicles become susceptible to lateral sliding, flotation, or rollover when exposed to lateral hydrodynamic impacts, jeopardizing both occupant safety and infrastructure integrity. Previous studies have primarily focused on longitudinal sliding instability—such as the critical flow velocity for vehicle motion initiation and buoyancy-related submersion depth—under forward or backward flow, employing theoretical analyses and flume experiments. However, research on the dynamic response of vehicles under lateral flow, the underlying mechanisms of lateral skidding, and multi-degree-of-freedom instability modes remains relatively limited. To address this gap, this study establishes a multi-body vehicle dynamics model for lateral flow conditions, incorporating lateral hydraulic forces and tire-road
Wei, Haoting, Tan, Gangfeng, Lang, Tao, Liu, chongjian, Tang, Jingning
On-Road Vehicle Testing and Characterization2026-01-0195To be published on 04/07/2026
Vehicle testing for fuel economy and emissions is typically performed indoors over standard dynamometer drive schedules to minimize variability and maximize repeatability of the results. In contrast, during on-road operation, operational parameters such as vehicle speed and acceleration and environmental factors such as temperature and wind will change unpredictably. These factors influence vehicle fuel economy and emissions, making on-road operation much more variable than dynamometer results. However, even though on-road conditions may be unpredictable, the on-road operational data can still be used to characterize vehicle performance. This paper describes the development of an on-road vehicle test methodology, with a focus on accounting for on-road factors with a high degree of accuracy while requiring only an achievable and reasonable amount of data. To develop this methodology, a 2016 Honda Civic was instrumented and driven multiple times over a route covering urban, rural, and
Moskalik, Andrew, Barba, Daniel
Thermal Insulation Materials Used in Battery Pack Assembly: A Review of Materials, Test Methods, and Key Considerations2026-01-0406To be published on 04/07/2026
Electric vehicle (EV) battery packs have undergone substantial advancements in recent years, driven by engineering design improvements, material innovations, and increasingly stringent regulatory enforcement. These developments have enabled battery packs to become more energy-dense, which is essential for extending driving range and improving overall vehicle performance. However, with increased energy density comes a heightened risk of thermal events, such as thermal runaway, which continue to raise concerns regarding vehicle safety, reliability, and long-term durability. This review focuses on the critical role that thermal insulation materials play in mitigating the impact of such thermal events within EV battery systems. It presents an overview of commonly used thermal insulation materials, emphasizing their chemical composition, thermal resistance, and mechanical integrity under extreme conditions such as high temperatures and physical stress. The ability of these materials to
Ng, Sze-Sze, Dhyani, Abhishek, Gorin, Craig, Jeon, Junho, Nuguri, Sravya, Repollet Pedrosa, Milton, Rylski, Adrian, Shete, Abhishek, Steinbrecher, Jacob, Thomas, Ryan
Energy Efficiency Analysis of U-Haul Truck and Trailer Systems: Impact of Tongue Weight and Load Variations2026-01-0466To be published on 04/07/2026
The demand for improved energy efficiency in real-world vehicle operations continues to grow with technology enhancement. When transporting large cargos with passenger pickup trucks and rental trailers, the interaction between vehicle payload, towing configuration, and fuel consumption becomes a key factor in overall system efficiency. Understanding how towing configurations and trailer loading influence fuel consumption and vehicle performance is critical for both consumer guidance and vehicle system design. This study investigates the energy efficiency of U-Haul truck and trailer systems, with a particular focus on the influence of trailer tongue weight. U-Haul truck and trailer simulation models were developed using AVL Vehicle Simulation Model (VSM) software, with an F-350 engine brake-specific fuel consumption (BSFC) map integrated to represent realistic engine performance. Two configurations with equal payload were evaluated: (1) a U-Haul truck alone, and (2) a U-Haul truck
Wang, Gang, Yang, Allan, Chen, Yan
Predicting the Impact of FIA 2026 Power Unit Regulations on the Performance of Formula 1 Car2026-01-0268To be published on 04/07/2026
This work investigates the impact of the forthcoming 2026 FIA Formula 1 power unit regulations on vehicle track performance. This new regulation introduces a rebalanced power distribution between the internal combustion engine and the Motor Generator Unit–Kinetic (MGU-K), with each unit contributing up to 350 kW. This transition nearly triples the previous 120 kW output of the MGU-K while constraining the internal combustion engine through newly imposed fuel energy limits. A full vehicle powertrain model was developed in GT-Suite following 2026 FIA technical directives. Particular attention was given to Articles 5.4.7 to 5.4.10, which define key constraints on hybrid operation: a maximum variation of 4 MJ in battery state of charge, up to 9 MJ of recoverable energy per lap, and a peak MGU-K electrical power output of 350 kW. The model includes updated architecture specifications, active aerodynamic modules, energy deployment logic, and component-level constraints. Telemetry data from
Giaquinta Aitala, Lucio, Samuel, Stephen
A Research on Driving Performance of Vehicle Body Control using vehicle height adjustment system2026-01-0626To be published on 04/07/2026
Recently, premium cars include a device in the suspension that can adjust the ride height. The main function of this system is to help the vehicle pass through uneven roads by keeping the vehicle body high so that the lower part of the vehicle does not contact the road surface. In particular, the device of the air spring type improves riding comfort by adjusting the vehicle's wheel rate. The proposed system was designed to adjust the ride height by adjusting the position of the spring lower seat up and down. By modeling the machinery topology of the proposed system in detail using a dynamics tool, we would like to investigate the feasibility of implementing driving performance by controlling not only the height adjustment function but also the vehicle body Posture of the vehicle during driving.
Park, Jaeyong, Sang Hoon, Lee, Jong Min, Kim, Choi, Jang Han
Lap Time Performance Sensitivity to Tire Model Parameters: An Optimal Control Framework for Model Selection and Calibration2026-01-0214To be published on 04/07/2026
The push for vehicle development through virtual prototyping and testing in motorsports highlights the critical challenge of tire model selection and calibration, especially when vehicle dynamics must be accurately captured. The calibration process for tire models such as the Pacejka Magic Formula (MF) relies on parameter identification and experimental data fitting. While optimization algorithms have been implemented to calibrate tire models, few studies explore the effects of parameter selection on overall vehicle performance, complicating prioritization for the vehicle’s modeling and simulation strategy. To bridge this gap, this paper leverages optimal control methods to quantify how the variability of MF tire model parameters propagates to the overall vehicle model and impacts lap time prediction accuracy. To achieve this, a subset of parameters critical to combined slip of the MF tire model are varied through a Design of Experiments (DOE). These variations are executed on a flat
Zarate Villazon, Angel M., Brown, Ian, Balchanos, Michael, Mavris, Dimitri
Adaptive Torque Vector Control for Distributed Drive Intelligent Electric Vehicles Using Model and Data Driven Approaches2026-01-0628To be published on 04/07/2026
To effectively improve the performance of chassis control of distributed drive intelligent electric vehicles (EVs) under difference road conditions, especially in combing road information and chassis control for improving road handling and ride comfort, is a challenging task for the distributed drive intelligent EVs. Simultaneously, inaccurate chassis control and uncertainty with system input, are always existing, e.g., varying road input or control parameters. Due to the higher fatality rate caused by variable factors, how to precisely chose and enforce the reasonable chassis control strategy of distributed drive intelligent EVs become a hot topic in both academia and industry. To issue the above mentioned, an adaptive torque vector hierarchical controller based on road roughness and adhesion is proposed, which optimizes the comprehensive performance of vehicle chassis. First, combined with the characteristic of the unbalance dynamic force caused by the air gap between the stator and
Wang, Zhenfeng, Zhao, Gaoming, Zhang, Zhijie
The Impact of Extreme Ambient Temperatures on Electric Vehicle Performance in the Kingdom of Saudi Arabia2026-01-0133To be published on 04/07/2026
The rapid expansion of Saudi Arabia’s electric vehicle sector driven by manufacturers such as CEER Lucid Tesla and BYD necessitates evaluating vehicle performance under extreme thermal conditions. This study investigates the impact of high ambient temperatures on electric vehicle operation by analyzing a 60 kWh NMC battery pack under representative Riyadh summer conditions of up to 47 °C using MATLAB Simulink simulations. The results show that elevated temperatures accelerate state of charge (SOC) depletion and increase battery internal resistance. To maintain safe operating limits the BTMS must operate continuously consuming up to 20 percent of the available energy. Cooling demand increases nonlinearly with temperature exceeding 40 kW at 50 °C which leads to significant parasitic losses and a 15 to 20 percent reduction in driving range. At the system level this increased energy demand raises charging frequency and intensifies electricity load during peak summer periods thereby
Bedywi, Lama Mohammed A, AlJuhani, Haneen, Duan, Chen, AbdulNour, Bashar
Automotive Aerodynamics Surrogate Modeling using NVIDIA PhysicsNeMo on Mid-Sized SUV GM Dataset2026-01-0600To be published on 04/07/2026
Aerodynamic simulations are crucial in vehicle design and performance evaluation. Traditionally, these simulations utilize Computational Fluid Dynamics (CFD) techniques to compute flow quantities such as velocity, pressure, and wall-shear stresses. Accurate prediction of these quantities is vital for estimating drag and lift forces, which directly impact fuel efficiency, stability, and acoustics. This study focuses on developing an AI surrogate for aerodynamic design of production mid-size SUVs using NVIDIA’s PhysicsNeMo framework. Firstly, high-fidelity 3D CFD data are generated using first-principles solvers on 100 different geometry variants at a uniform inlet velocity of 38.89 m/s and a fixed set of boundary conditions. The DoMINO (Decomposable Multiscale Iterative Neural Operator) AI model, part of the PhysicsNeMo framework, is then used to train on this dataset, accurately predicting surface pressure and flow fields around vehicles for rapid estimation of critical aerodynamic
Keum, Seunghwan, Raul, Vishal, Grover, Ronald, Parrish, Scott, Ranade, Rishikesh, Ghasemi, Abouzar, Kamenev, Alexey, Tadepalli, Srinivas
Advanced Damping Force Modeling Using Machine Learning for Next-Generation Electric Vehicle Suspensions2026-01-0586To be published on 04/07/2026
The rapid evolution of electric vehicles (EVs) has necessitated innovative approaches to optimize ride comfort, handling, and overall suspension performance. Unlike conventional internal combustion engine vehicles, EVs introduce unique challenges due to their distinct weight distribution, powertrain dynamics, and noise characteristics. This paper presents an advanced damping force modeling methodology leveraging machine learning (ML) techniques to enhance the suspension design process for next-generation EVs. The study employs data-driven ML algorithms, such as Gradient Boosting, Random Forest, and Neural Networks, to model the nonlinear and frequency-dependent behavior of dampers under various operational conditions. A comprehensive dataset, generated through simulation and experimental testing, captures the effects of road profiles, vehicle dynamics, and damping settings. The proposed ML-based approach predicts damping forces with high accuracy, outperforming traditional analytical
Hazra, Sandip, Tangadpalliwar, Sonali, Khan, Arkadip
Data-driven Study on Chassis Suspension Performance Degradation2026-01-0582To be published on 04/07/2026
The performance of chassis suspension mechanisms critically affects vehicle handling, ride comfort, and safety. Under severe operating conditions, health monitoring of chassis suspension mechanisms can detect potential problems in time, thereby reducing safety risks and optimizing maintenance costs. With the rapid development of sensing and data analytics technologies, data-driven approaches are increasingly used in health monitoring. This study aims to achieve real-time monitoring of chassis suspension performance degradation using a deep neural network (DNN). First, a semi-vehicle suspension model is constructed to simulate the vehicle's degraded state under bumpy road conditions, generating a dataset of key suspension parameters. Subsequently, a DNN model comprising three hidden layers is developed to assess suspension performance degradation. To optimize model performance, the effects of different numbers of neurons and hidden layers on model accuracy are explored. Experimental
Liao, Yinsheng, Lei, Yisong, Su, Ailin, Wang, Zhenfeng
Development of a virtual test rig to evaluate thermal management of a battery-electric vehicle under battery heating-cooling modes2026-01-0416To be published on 04/07/2026
A battery-electric vehicle (BEV) has multiple powertrain components (battery, inverter, e-motor), a thermal management system (compressor, heat exchanger, cabin heating, ventilation, and air-conditioning), and a vehicle body, among others. Vehicle testing is time-consuming, and also changing powertrain components during the testing and design process is costly. Simulation models (aka virtual or simulation test rig) have been widely used for efficient vehicle design. This work presents a systematic approach to developing a virtual test rig to evaluate the thermal performance of battery-electric vehicles. A Tesla Model Y is tested in a chassis dynamometer, and the measured vehicle performance data are used as boundary conditions for the complete vehicle model. The detailed lithium-ion battery (LIB) pack model, including its cooling system, was developed and calibrated using various transient driving cycle data. The HVAC model uses a simplified controller to maintain the cabin temperature
Sok, Ratnak, Kusaka, Jin
Techno-Economic Evaluation of Electified Vehicle Options in Drayage Fleets2026-01-0454To be published on 04/07/2026
The transition of drayage fleets from diesel to battery electric vehicles (BEVs) poses both opportunities and uncertainties, especially regarding long-term economic viability. While total cost of ownership (TCO) is a useful benchmark, fleet operators and investors are equally concerned with investment performance metrics such as payback period and Internal Rate of Return (IRR), which better reflect financial risks and investment return timelines. This study proposes a comprehensive framework to evaluate the economic feasibility of transitioning from diesel to BEVs, jointly analyzing TCO parity conditions, payback periods, and IRRs under different technology, cost, and operational scenarios. Building on a previously developed cost modeling tool, the analysis incorporates evolving battery prices, energy costs, vehicle performance characteristics and other assumptions from 2025 to 2050. Real-world duty cycle data from a Class 8 drayage fleet at the Port of Savannah is used to capture
Sun, Ruixiao, Sujan, Vivek, Goulet, Nathan, Wang, Qixing
An Integrated Model Approach for Predicting Vehicle Dynamics Performance in HiL Validation2026-28-0044To be published on 02/12/2026
In the automotive industry, increasing noise regulations are influencing product sales and passenger comfort, creating a need for more effective noise testing methods. Hardware-in-Loop (HiL) based virtual acoustic testing serves as a critical step before Driver-in-Loop testing, allowing for the assessment of vehicle performance and noise levels inside and outside the vehicle under various conditions before physical prototype testing is performed. The Hardware-in-the-Loop (HiL) simulator setup is equipped with joystick control that requires a physical representation of the vehicle dynamics model provided as a Functional Mock-up Unit (FMU) in real-time format. In contrast, the vehicle control logic is implemented in C++ code. The simulator incorporates both lateral and longitudinal dynamics. Additional interfaces are integrated to support joystick input and virtual road visualization enabling realistic vehicle maneuvering and dynamic performance evaluation. However, performing all test
Visuvamithiran, Rishikesan, Chougule, Sourabh, Srinivasan, Rangarajan, Laurent, Nicolas
Benchmark of Conventional and By-Wire Brake System Layouts for Electric Vehicle Applications by Numerical Simulations2026-01-50082/3/2026
The recently increasing global concern about sustainability and greenhouse gas emission reduction has boosted the diffusion of electric vehicles. Research on this topic mainly focuses on either re-designing or adapting most conventional vehicle subsystems, especially the propulsion motor and the braking components. In this context, the present work aims to model, analyze, and compare three-braking system layouts design alternatives focusing on their contribution to vehicle performance and efficiency: a commercial vacuum-boosted hydraulic braking system, a commercial integrated electrohydraulic braking system, and a concept distributed electrohydraulic brake system. Braking systems performance are evaluated by simulating key maneuvers adopting a full model of a battery electric vehicle (BEV), which includes all relevant components like tires, and powertrain dynamics, which is validated against real-world data. Implementation and integration of the first two systems are discussed
Savi, Lorenzo, Garosio, Damiano, Floros, Dimosthenis, Vignati, Michele, Travagliati, Alessandro, Braghin, Francesco
Contradictions of Automotive NVH and TRIZ Tools for Innovative Problem Solving2026-26-03471/16/2026
Balance towards various Vehicle attributes often faces design contradictions, particularly in Noise, Vibration, and Harshness (NVH) optimization. Traditional approaches rely on trade-offs, but TRIZ (Theory of Inventive Problem Solving) offers a structured methodology to resolve contradictions innovatively. This paper presents TRIZ-based solutions for 2 key NVH challenges: (1) exhaust systems requiring noise reduction while maintaining low engine back-pressure, (2) engine mounts requiring both softness for vibration isolation and hardness for durability & vehicle stability, By applying TRIZ principles such as separation, mechanics change, etc. and using Thinking Tools such as thinking in time & scale, novel solutions are proposed to achieve superior performance without traditional compromises. These case studies demonstrate how TRIZ enhances automotive NVH refinements by enabling systematic innovations. This also explores benefits of Frugal Engineering for profitable launch of new
A, Milind Ambardekar
Digital Twin for Motor & MCU Incorporating Deep Learning AI-ML Algorithms for Intelligent Prognostics for Electric Vehicles2026-26-04791/16/2026
As electric vehicles (EVs) become more advanced, so ensuring the reliability of critical components like the motor and Motor Control Unit (MCU) is essential. This paper presents a digital twin model designed to predict failures in motor and MCU components using machine learning. The approach focuses on detecting early signs of failure through real-world data and advanced analytics. We collected thermal and performance data from field vehicles, capturing both normal (healthy) and abnormal (faulty) operating conditions. Using this dataset, we developed and trained an Auto Encoder-based machine learning model that learns what “normal” looks like and flags deviations as potential issues. One key outcome of this study is the successful early prediction of Insulated Gate Bipolar Transistor (IGBT) degradation, where the system identified subtle behavioral changes long before any visible failure symptoms appeared. This digital twin acts as a virtual replica of the physical components
Joshi, Pawan, Pandey, Suchit, KONDHARE, Manish, Upadhyay, Abhay, JaganMoahanarao, Vana, Tank, Prabhu
Fatigue Life Prediction Methodology for Vehicle Suspension Systems and Correlation with Physical Test2026-26-04591/16/2026
Fatigue analysis is a vital aspect of suspension design, especially for load bearing components such as the Rear Twist Beam, where durability under cyclic loading is essential for long-term vehicle performance. Among the various durability tests, the roll fatigue test is a key procedure for validating suspension strength and reliability. However, conducting physical roll fatigue tests can be both expensive and time consuming, particularly when multiple design iterations are required. This not only increases cost but also extends the development timeline. This study presents a virtual simulation methodology that replicates roll fatigue test conditions within a finite element analysis environment, enabling early fatigue assessment and design optimization. Developed to support the early design phase, the roll fatigue test simulation process ensures robust designs that meet targeted fatigue life requirements. The approach begins with a detailed understanding of the physical roll fatigue
Kokare, Sanjay, Nagapurkar, Tejas, Iqbal, Shoaib
Analysis and Mitigation of Parasitic Noise in Hydraulic Engine Mounts: Addressing Cavitation and Membrane Hitting2026-26-03351/16/2026
Hydraulic engine mounts are widely used in automotive applications to reduce vibration and noise transmission from the engine to the vehicle body by providing high damping at low frequencies and low damping/stiffness at higher frequencies. This is achieved by allowing sufficient clearance between components inside the hydro mount, activating hydraulic damping only with sufficient amplitude inputs. However, this inherently leads to the generation of parasitic noises emanating from hydraulic engine mounts which significantly degrade the Noise, Vibration, and Harshness (NVH) performance of vehicles, presenting a considerable challenge in the automotive industry. This encompasses phenomena such as cavitation, arising from the formation and subsequent collapse of vapor bubbles within the working fluid due to localized pressure drops below the vapor pressure, and membrane hitting, resulting from the dynamic interaction between the fluid and the elastic membrane within the mount. Both noise
Agrawal, Adheesh, Vineeth, Sekharan, Ghosh, Chiranjit, Saxena, Akshansh, Parmar, Aashish, Seenivasan, Gokulram, Nandal, Abhishek, Dhankhar, Dinesh Singh, Khan, Prasenjit
Multi Speed – Multi Motor Torque Vectoring Control for a Commercial Electric Truck to Enhance Drivability and Performance2026-26-00581/16/2026
This paper explores the requirement of multi speed – multi motor torque vectoring in a battery electric commercial truck. The area of focus was to compare the vehicle performance and range of a BEV truck with conventional central drive single motor configuration with the same vehicle consisting of a multi speed – multi motor torque vectoring control strategy. Through this exercise, we have analysed the motor power and torque requirements to meet the vehicle performance along with the required reduction ratios. A MATLAB based vehicle model is used to simulate the effect of multi motor operation on the vehicle range. Also simulated the effect of torque vectoring control algorithm on the vehicle performance like steady state cornering(SSC), Double Lane change (DLC), Off road dive Cycle, vehicle stability and turning circle diameter(TCD).
Pethkar, Shivanand, S, Srivatsa, Ghosh, Sandeep
Advanced Thermal Management for High-Tonnage EVs: Increasing Coolant Flow and Reducing Energy Losses2026-26-01961/16/2026
With the increasing tonnage of electric heavy commercial vehicles, there is a growing demand for higher power and torque-rated traction motors. As motor ratings increase, efficient cooling of the EV powertrain system becomes critical to maintaining optimal performance. Higher heat loads from traction motors and inverters pose significant challenges, necessitating an innovative cooling strategy to enhance system efficiency, sustainability, and reliability. Battery-electric heavy commercial vehicles face substantial cooling challenges due to the high-pressure drop characteristics of conventional traction system cooling architectures. These limitations restrict coolant flow through key powertrain components and the radiator, reducing heat dissipation efficiency and constraining the operating ambient temperature range. Inefficient cooling also leads to increased energy consumption, impacting the overall sustainability of electric mobility solutions. This paper presents a novel approach of
Dixit, Sameer, Patil, Bhushan, Ghosh, Sandeep
Drive Cycle Type Identification Using Data Driven Methodologies2026-26-06491/16/2026
Identifying the type of drive cycle is crucial for analyzing customer usage, optimizing vehicle performance and emission control. Methods that rely on geographical location for drive cycle identification are limited by varying driving conditions at the same location (e.g. heavy traffic during peak hours vs. free-flowing traffic at night). This paper proposes a methodology to identify the type of drive cycle (city, interurban, highway or hybrid) using drive characteristics derived from vehicle data rather than geographical location. Real-world vehicle data from testing trucks is taken, whose drive profiles are already known. Initially, multiple characteristic features of the drive cycle are identified from literature surveys and domain experience. These features, which can be extracted from basic signal data, include gear shifts, time spent in different driving modes (acceleration, cruise, standstill), velocity distributions, and an 'aggressiveness factor' representing overall driving
Reddy, Mallangi Prashanth, Gorain, Raju, Ganguly, Gourav
System-Level Simulation to Design a Hydrogen Powered Refuse Collection Vehicle Based on Real-World Fleet Operational Data2026-26-03991/16/2026
This study addresses one of the challenges in the energy transition of heavy-duty vehicles by converting a diesel Refuse Collection Vehicle (RCV) into a hydrogen-powered prototype. The research is part of the VeH2Dem project funded by NextGenerationEU and focuses on dimensioning the complete hydrogen propulsion system for a RCV, including the energy storage capacity, without compromising payload or operational functionality. The development of the propulsion system is based on a comprehensive analysis of operational data extracted from fleet management systems, complemented by detailed instrumental monitoring of various collection routes. This methodology ensured that the prototype inherits performance equivalent to the original internal combustion engine vehicle across all evaluated scenarios. The vehicle performance objectives were established following a comparative analysis with solutions currently available in the RCV market, incorporating statistical analyses to ensure continuous
Cano, Pablo, Barrio, Roberto, Roche, Marina, de-Lima, Daniela, Batista, Sara, Bertolí, Xavier
A Comprehensive Analysis of Sealing Methods for EV Battery Packs - Trends and Insights2026-26-01801/16/2026
The widespread adoption of electric vehicles (EVs) has introduced distinct engineering challenges, particularly in the design of battery packs, which are crucial for vehicle performance, safety, and longevity. A critical requirement is maintaining ingress protection (IP) ratings of IP67 or higher to protect the high voltage battery packs against water and dust exposure. These ratings are crucial for ensuring compliance with homologation standards and meeting the demands of diverse terrains and operating conditions. Consequently, achieving effective sealing of EV battery packs is a fundamental aspect of their design and engineering. This study presents a comprehensive analysis of sealing technologies employed in EV battery packs, focusing on four primary types: adhesive-based sealants, Formed-In-Place Gaskets, foam cut seals, and rubber gaskets. Benchmarking data collected from over 100 vehicle models across more than 50 brands provides insights into adoption trends, historical shifts
Varambally, Vishakha, Sithick basha, Abubakker, Chalumuru, Madhu, Yaser, K U Syed, Sasikumar, K
Simulation Research on Torque Vectoring, Braking, Chassis Control Strategies for Electric & Hybrid Vehicles using System Simulation2026-26-04231/16/2026
Electric Vehicles and Plug-in Hybrids alleviate the energy crisis but pose a unique challenge for vehicle dynamics. Though significant developments in motor control strategy and energy density management are evolving, we face significant challenges in torque management, with several ADAS features being an integral part of the EVs/xHEVs. It demands high-fidelity physical and control model exchanges between electric chassis, ride-handling, tire modelling, steering assist, powertrain, and validation using a 0D–1D platform. This paper explicates a unified strategy for improving overall vehicle performance by intelligently distributing and coordinating drive torque to enhance traction, stability, and drivability across diverse operating conditions through co-simulation. The co-simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicles that require detailed modelling of
Eruva, Patrickxavier, Sarapalli Ramachandran, Raghuveeran, Chougule, Sourabh, Natanamani-Pillai, Siva Subramanian, Scheider, Clement, Leclerc, Cedric, Natarajasundaram, Balasubramanian
Representative Drive Cycle Velocity Profiles Prediction Using ML Algorithms for Energy Efficiency2026-26-06381/16/2026
Maximizing vehicle energy efficiency and its performance is a high priority for automotive industries as customers’ expectations rise. Engineers constantly face the challenge of balancing the conflicting goals of achieving superior performance and maximizing energy efficiency, all while meeting increasingly tight development timelines. Leveraging digital methods can potentially enable considerable reduction in development timelines. Driving cycles function as standardized measurement procedures for certifying vehicle fuel efficiency and driving range. Representative velocity profiles condense numerous real-life driving cycles to enable quicker energy analysis and driver feedback evaluations. This paper introduces a novel methodology for generating synthetic drive cycles, such as average velocity cycles and ideal consumption velocity cycles, based on real-life driving scenarios. In this study, the importance of creating representative drive cycles to enhance vehicle performance and
Kanakannavar, Rohit, Kelkar, Kshitij, Sadalge, Anand
Enhancing Range Prediction Accuracy for the BEV: Bridging the Gap between Simulation and Real-World Testing2026-26-05211/16/2026
Accurate range estimation in battery electric vehicles (BEVs) is essential for optimizing performance, energy efficiency, and customer expectations. This study investigates the discrepancies between physical test data and simulation predictions for the BEV model. A detailed range delta analysis identifies key contributors to the observed deviations, including regenerative braking inefficiencies, increased propulsion demand, auxiliary loads, and estimated drivetrain losses within the Electric Drive Module (EDM) during traction and regen. Results indicate that the test vehicle exhibits lower regenerative braking efficiency, higher traction forces and lower regen energy than predicted by simulations, primarily due to EDM inefficiencies and friction brake usage during regeneration. The study underscores the importance of refining simulation methodologies by integrating real-world, test based EDM loss maps to improve accuracy and better align predictive models with actual vehicle
Mahajan, Prasad, Kesarkar, Sidhesh, Ali, Shoaib
Driving Behavior Modelling with Graph Attention Networks2026-26-06611/16/2026
In automotive engineering, understanding driving behavior is crucial for decision on specifications of future system designs. This study introduces an innovative approach to modeling driving behavior using Graph Attention Networks (GATs). By leveraging spatial relationships encoded in H3 indices, a graph-based model constructed, which captures dependencies between various vehicle operational parameters and their operational regions using H3 indices. The model utilizes CAN signal features such as speed, fuel efficiency, engine temperature, and categorical identifiers of vehicle type and sub-type. Additionally, regional indices are incorporated to enrich the contextual information. The GAT model processes these heterogeneous features, learning to identify patterns indicative of driving behavior. This approach offers several significant advantages. Firstly, it enhances the accuracy of driving behavior modeling by effectively capturing the complex spatial and operational dependencies
Salunke, Omkar
Evaluating Passenger Car Tyre Performance: Lateral and Longitudinal Dynamics in Varied Testing Conditions2026-26-05781/16/2026
The lateral and longitudinal dynamics of passenger car tyres are critical to overall vehicle safety, handling, and stability. These characteristics directly influence braking, acceleration, and cornering performance. This study investigates the impact of key input parameters, namely inflation pressure, vertical load, and inclination angle, on tyre behaviour using a dual approach: Indoor testing with a Flat-Trac CT+ (FTCT+) and Outdoor evaluation using a skid trailer. Lateral dynamics are evaluated at slip angles to analyze lateral force and aligning moment characteristics. The influence of inclination angle, pressure, and load is quantified through cornering stiffness and aligning stiffness. The tests are conducted in both sweep and steady-state modes. To maintain data consistency, all tests use tyres of a single specification sourced from the same production batch. Longitudinal behaviour of a tyre is characterized by various parameters such as peak friction coefficient, sliding
Sethumadhavan, Arjun, Duryodhana, Dasari, Tomer, Avinash, Ghosh, Prasenjit, Mukhopadhyay, Rabindra
Optimisation-Driven Framework for Heterogeneous Battery-Pack Mixing in Fleet Applications2026-26-02091/16/2026
Fleet owners often encounter significant logistical and financial problems when dealing with battery packs of different ages and conditions. The standard industry practice is to replace old batteries with identical new ones. This process is inefficient because it costs a lot, creates too much inventory, and eliminates battery packs that are still useful too soon. The problem worsens when manufacturers stop making older battery models, which can force a vehicle to retire early. This paper puts forward a framework for mixing different types of battery packs to deliver the performance needed for a vehicle’s mission. We show how this works in three everyday service situations: 1) Repair, when a single damaged pack needs replacing; 2) Life Extension, where aged packs are combined with newer ones to meet mission range; and 3) Performance Restoration, which uses next-gen packs when the original parts are obsolete. The study shows that a vehicle can complete its required missions by
Nair, Sandeep R., Ravichandran, Balu Prashanth, Hallberg, Linus
Integrated Powertrain Domain Controller Using Wide Band Gap Devices for EV Applications2026-26-00551/16/2026
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, Mayank, Deosarkar, Pankaj, Inamdar, Sumer, Tayade, Nikhil
Design Optimization of the Propeller Shaft and Transfer Case for High-Speed 4WD Vehicles2026-26-03431/16/2026
Nowadays, vehicle enthusiasts often vary the driving patterns, from high-speed driving to off-roading. This leads to a continuous increase in demand for four-wheel drive (4WD) vehicles. A 4WD vehicle have better traction control with enhanced stability. The performance and reliability of 4WD vehicles at high speeds are significantly influenced by driveline stiffness and natural frequency, which are largely affected by the propeller shaft and transfer case. This study focuses on the design optimization of the transfer case and the propeller shafts to enhance the vehicle performance at high speeds. The analysis begins with a comprehensive study of factors affecting the power transfer path, transfer case stiffness, and critical frequency, including material properties, propeller shaft geometry, and different boundary conditions. Advanced computational methods are employed to model the dynamic behavior of the powertrain, identifying the natural frequency of the transfer case and propeller
Kumar, Sarvesh, Yadav, Sahdev, S, Manickaraja, Sanjay, L, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, Deole, Subodh M
A Robustness Approach to Reducing Variability in Suspension System Performance2026-26-03811/16/2026
Determination of part tolerances for reduced variation in suspension level performance by using Multi-objective Robust Design Optimization (MORDO) The car industry is very competitive, and companies need to satisfy their customers to keep or grow their market share. It’s important for car makers to build affordable cars that provide a good driving experience, comfort for passengers, and safety for everyone. Suspension systems are very important for how a vehicle rides, handles, and stays stable, and they directly affect how driving feels. If parts are not positioned correctly, it can really impact how well a vehicle works. As a result, suggested limits for where suspension parts are placed are given to prevent issues with Kinematics and Compliance (K&C) properties. So, designing parts with the right tolerances is very important in making vehicles. It helps lower production costs and keeps the vehicle's performance consistent. This paper shows a step-by-step method to find the strongest
Pathak, Jugal, Ganesh, Lingadalu
Optimizing Powertrain Performance a Customer Usage-Centric Approach2026-26-00671/16/2026
The US trucking industry heavily relies on the diesel powertrain, and the transition towards zero-emission vehicles, such as battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV), is happening at a slow pace. This makes it difficult for truck manufacturers to meet the Phase 3 Greenhouse Gas standards, which mandate substantial emissions reductions across commercial vehicle classes beginning of 2027. This challenging situation compels manufacturers to further optimize the powertrain to meet stringent emissions requirements, which might not account for customer application specifics may not translate to a better total cost of ownership (TCO) for the customer. This study uses a simulation-based approach to connect customer applications and regulatory categories across various sectors. The goal is to develop a methodology that helps identify the overlap between optimizing for customer applications vs optimizing to meet regulations. To use a data-driven approach, a real
Mohan, Vignesh, Darzi, Mahdi
Methodology for Optimizing the Bench Testing of Steering I-Shaft Using Vehicle Level Data to Reduce Overall Product Development Time and Cost2026-26-05601/16/2026
Steering I-shaft with rubber coupling (or hardy disc) is an important part of complete steering system mainly in body on frame (BOF) vehicles. Hardy discs are used to dampen the vibrations that transmit to steering wheel through frame, steering gear and I-shaft. They also support to accommodate the variation between frame and BIW (Body in white) of body on frame vehicles. They are made up of rubber or other polymer composites, which have less torsional stiffness as compared to metals. The overall torsional stiffness of steering system reduces since the hardy disc is used in series in steering system, that impacts on the overall performance of steering system. So, during development of I shafts with different design, stiffness of hardy discs are used to optimize the steering and NVH performance of vehicle. Considering the development time and cost, each design of I-shaft cannot be validated at vehicle level. The torsional and axial force or displacement of hardy disc is measured at
Kabdal, Amit
Failure Investigation and Geometric Optimization of Torsional Vibration Damper for Enhanced Durability and Noise Reduction in Automotive Drivetrain Systems2026-26-03501/16/2026
Internal Combustion engines exhibit multi-order vibrations caused by the inertial forces of reciprocating masses. These vibrations induce drivetrain resonance, negatively impacting occupant comfort and the durability of drivetrain components. Torsional vibrations, a critical subset of these oscillations, demand efficient damping mechanisms. Torsional Vibration Dampers are instrumental in minimizing such vibrations by tuning mass and frequency characteristics to prevent resonance. By splitting resonant frequencies into avoidable zones within the engine's operational range, TVD enhance vehicle performance and refinement by dampening the vibrations. Structurally, TVD comprise an inertia ring integrated with a damping medium, such as vulcanized rubber, which attenuates torsional oscillations by permitting controlled oscillation of the inertia ring. This study focuses on the failure investigation and the geometric optimization of oscillating masses of TVD for performance and durability
Wani, Sujit Ashok, S, Manickaraja, Kanagaraj, Pothiraj, Senthil Raja, T, Vellandi, Vikraman, Patil, Dilip
All New 1.2L Turbocharged Gasoline Direct Injection Engine from Tata Motors2026-26-00711/16/2026
There is continuous push from the legislation for stringent fuel economy and emission regulations while the modern customers are demanding more engaging driving experience in terms of performance and refinement. To meet this Tata Motors has developed an advanced 1.2L 3-cylinder turbocharged gasoline direct injection engine. This next-generation powertrain delivers optimum efficiency, reduced emissions, superior performance with refined NVH characteristics. The key features used to enable these demanding requirements includes a 35 MPa fuel injection system, Miller Cycle operation and electrically actuated variable nozzel turbocharger (VNT). A uniquely designed BSVI complaint (WLTP ready) exhaust after-treatment system with Four-Way Conversion Catalyst (FWC+TM) ensures optimum emission control. A centrally mounted variable cam phaser minimizes pumping losses. The lightweight yet rigid all-aluminum engine structure, featuring an integrated structural oil sump, enhances durability and
Hosur, Viswanatha, Ghadge, Ganesh Narayan, Joshi, Manoj, Jadhav, Aashish, Panwar, Anupam
Optimization of Propeller Shaft Design to Eliminate Launch Undulation (Lateral Shake) and Vibration Level2026-26-03341/16/2026
During vehicle launches in 1st gear, a lateral shake (undulation) and a pronounced metallic hitting noise were observed in the underbody. The noise was identified as the propeller shaft's second universal joint (UJ) yoke striking the fuel tank mounting bracket. Sensitivity to these issues varied with acceleration inputs: light pedal input during a normal 1st gear launch on a flat road resulted in minimal undulation, whereas wide open throttle (WOT) conditions in 1st gear produced significant lateral shake and intensified hitting noise. Further investigation revealed that the problem persists across all gears and occurs consistently during normal driving conditions, with continuous impact between the propeller shaft yoke and the fuel tank mounting bracket. Extensive experimental measurements at the vehicle level indicated that these issues were primarily caused by the center-mounted propeller shaft joint deviating from its central position and rotating eccentrically under torque. This
Sanjay, L, S, Manickaraja, Kumar, Sarvesh, Kanagaraj, Pothiraj, Senthil Raja, T, B, Prem Prabhakar, M, Kiran
Powertrain Optimization of Indian City Electric Bus Using Active Learning Simulation Methodology2026-26-06571/16/2026
Public transport electrification is going to play a massive role in India’s COP26 pledge to achieve net zero emissions by 2070. India plans to electrify 800,000 buses in a push towards 30% EV penetration by 2030. Further encouraged by government incentives under National Electric Bus Program (NEBP), e-Bus market is expected to grow at a CAGR of ~86% annually over the next 5 years. With most OEMs going for fleet electrification for reducing CO2 emissions and to cater to growing demand in Indian cities for cleaner public transport, improving powertrain efficiency and performance of state-of-the-art e-Buses is a natural progression of e-mobility sector development in India. The first step in designing powertrain for an electric city bus is to determine the motor(s) size and transmission specifications (number of gears, gear ratios etc.). Complications arise due to a wider and non-linear operation range of eBus. This study focuses on powertrain optimization for a medium duty electric city
Sandhu, Rouble, Chen, Bicheng, Emran, Ashraf, Xia, Feihong, Lin, Xiao, Berry, Sushil
Tailgate Stiffness Mitigation and Engineering Strategy for Full Width Tailgate-Mounted Tail Lamp Integration2026-26-04941/16/2026
The tailgate, as the rearmost vehicle opening, plays a pivotal role in defining the rear aesthetic theme while ensuring structural durability and maximizing luggage space. Contemporary automotive design trends highlight an increasing demand for Full width tailgate-mounted tail lamp configurations, which deliver a bold and dynamic visual appeal. Enhanced by animated lighting features, these designs cater to the preferences of Gen Z customers, becoming a decisive factor in purchasing decisions. However, integrating these complex tail lamp structures introduces significant engineering challenges, including increased X-dimension lamp volume, thereby providing reduced design space, and intricate mounting schemes constrained by panel stamping limitations. These factors necessitate the development of innovative joinery strategies and structural definitions to maintain durability targets, including achieving 25,000–30,000 slam cycles without failure, while preserving luggage space. This paper
Beryl, Joshua, Mohanty, Abhinab, Unadkat, Siddharth, Selvan, Veera
Development of a New Methodology for Measuring the Dimensions of Lighting Components in Construction Equipment Vehicles (CEVs) as per IS/ISO 12509:2004 using 3-Dimensional Planar Laser2026-26-01451/16/2026
The light and light signaling devices installation test as per as per IS/ ISO 12509:2004 & IS/ISO 12509:2023 for Earth Moving Machinery / Construction Equipment Vehicles is a mandatory test to ensure the safety and comfort of both road users and operators. Considering the shape and size of construction equipment vehicles, accurate measurement of lighting installation requirements is crucial for ensuring safety and regulatory compliance. The international standard IS/ISO 12509:2004 & IS/ISO 12509:2023 outlines specific criteria for these installation requirements of lighting components, including the precise measurement of various dimensions to ensure optimal visibility and safety. Among these dimensional requirements, the dimension 'E' i.e., the “distance between the outer edges of the machine and the illuminating surface of the lighting device” plays a critical role in the performance of vehicle lighting systems. Traditional methods of measuring this dimension, such as using a
Ghodke, Dhananjay Sunil, Belavadi Venkataramaiah, Shamsundara, Tambolkar, Sonali Ameya
Revolutionary EV Motors Innovation in E-Mobility in Depth Analysis of Emerging Technologies, Comparative Insights & Their Ground Breaking Impact on Electric Vehicle Performance2026-26-00731/16/2026
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, Gaurav, Premlal, P, Pathak, Rahul, Gore, Pandurang
E-Drive System Selection Criterion for Hybrid Electric Heavy Commercial Vehicles Segments2026-26-04671/16/2026
The automotive industry has been expediting progress toward electrification since climate change driven by global warming represents a significant environmental challenge with far-reaching implications. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Hybrid electric vehicles can serve as an effective intermediary solution, bridging the gap between conventional internal combustion engine vehicles and fully electric vehicles, owing to their comparatively lower initial costs. Hybrid electric vehicle component selection is a complex process that must fulfill multiple requirements: fuel economy, performance, drivability, packaging, total cost of ownership and comfort. Additionally, the selection of hybrid configuration also plays a vital role in determining the cost of the hybrid electric vehicle. Hence, it is a great challenge to select the right powertrain
Shendge, Raman, Jadhav, Vaibhav, Wani, Kalpesh, Warule, Prasad
The Selection of a Two-Speed Gearbox for Small Commercial Electric Vehicles Aims to Optimize Powertrain Efficiency2026-26-04171/16/2026
In response to the significant environmental challenges posed by climate change driven by global warming, the automotive industry is accelerating the transition toward electrification. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Energy efficiency improvement of electric vehicles is emerging field of research to reduce total cost of ownership. Electric vehicle powertrain component selection in small commercial vehicles including three and four wheelers is a complex process which has to fulfil multiple requirements which includes range, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, powertrain configuration including battery, motor and transmission ratio selection plays a fundamental role in cost of electric vehicle. Hence, The task of selecting the right powertrain configuration, encompassing architecture
Wani, Kalpesh, Jadhav, Vaibhav, Shendge, Raman, Warule, Prasad
Enhanced Integrated Cooling-Protection Plate for Battery pack Underbody Impact Resistance in Electric Vehicles2026-26-01691/16/2026
In the quest for enhancing electric vehicle performance and safety, this paper presents a comprehensive investigation into the design and performance of high-voltage (HV) battery cooling plates featuring dedicated cooling channels, integrated with structural bottom protection members. The study aims to address the dual challenges of thermal management and crash protection in electric vehicles during bottom impacts. The research evaluates the cooling efficiency and structural resilience of the proposed design through a combination of design iterations, thermal performance evaluation, and crash simulations. Findings reveal that the integrated cooling plates not only maintain optimal battery temperatures under various operating conditions but also significantly improve the vehicle's crashworthiness. It was found that the cooling efficiency of the HV battery plates improved compared to competitor’s design, resulting in a more stable thermal environment for the battery cells. Moreover
Dusad, Sagar, Kummuru, Srikanth, Joshi, Amarja
Propeller Shaft Yoke Phase and Inclination Angle Optimization in Passenger Vehicles through Analytical Method2026-26-03481/16/2026
The customer perception of ride comfort with vehicle performance is the most important aspect in a vehicle design. The ride comfort and vehicle performance are influenced by driveline components i.e. propeller shaft phase angle, inclination angle and critical frequency of the driveline system. The optimization of the driveline system is essential to ensure the efficient and smooth power transfer. Propeller shaft is one of the critical components in the driveline to influence the vehicle performance. Propeller shaft characteristics influenced by several factors like vehicle max torque, propeller shaft joint type, materials properties, UJ phase and inclination angle and shaft unbalance value. The optimization of the above parameter within the tolerance limit enables to meet the required performance standard. Various methodologies are available to optimize these parameters to enhance the vehicle performance and comfort leads to customer satisfactions. This study focuses on the analytical
Kumar, Sarvesh, Sanjay, L, S, Manickaraja, Kanagaraj, Pothiraj
Dynamic Analysis of a Continuously Variable Transmission and Effects on Vehicle Performance2025-36-000212/18/2025
CVT is a transmission system widely applied in automobiles due to its better efficiency of the vehicle available power. That happens because of the continuously variation of the transmission since its pulleys mechanisms makes it possible for them to open or close according to engine speed and resistive forces. This paper presents a dynamical analysis of a CVT Transmission that utilizes a rubber belt. It is considered that the influence of the pulley’s mechanisms and the axial movement of the belt, and these effects in the vehicle longitudinal dynamics.
da Silva, Gustavo Procópio, Vieira Fernandes, Bernard Prata M., Lopes, Elias Dias Rossi, Rodrigues, Gustavo Simão
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
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