Browse Topic: Fuel economy

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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
Modelling of Le Mans Daytona Hybrid Hypercar Powertrain System2026-01-0270To be published on 04/07/2026
This study presents the development, validation, and application of a full-vehicle simulation model of the BMW M Hybrid V8 LMDh Hypercar, designed to investigate and optimise hybrid energy recovery strategies in compliance with FIA and IMSA 2025 technical regulations. With increasing regulatory and sustainability demands in endurance racing, the deployment and recovery of electric energy using MGU-K have become pivotal for both performance and fuel efficiency. A physics-based simulation model was constructed in GT-SUITE, incorporating a map based internal combustion engine, transmission, and 50 kW rear-axle hybrid system. Complementary to this, a novel telemetry extraction method using Optical Character Recognition (OCR) in MATLAB and Python was developed to generate real-world drive cycles from on-board race footage. The model was validated using telemetry data. Subsequently, multiple energy deployment strategies were evaluated under varying race scenarios to identify optimal control
Buysse, Alexander, Samuel, Stephen
Optimization of Engine Cooling System for Improved Fuel Efficiency and Vehicle Marketability2026-01-0297To be published on 04/07/2026
Effective thermal management in internal combustion engines is essential for meeting increasingly stringent global emissions regulations and fuel efficiency standards. This paper presents a comprehensive solution to enhance engine thermal management performance by addressing key system aspects, including coolant circuit architecture, Integrated Thermal Management Module (ITM) control strategies, port-specific flow management, zero-flow operation, and standardization of HVAC (Heating, Ventilation, and Air Conditioning) settings. The research was conducted on a newly developed engine platform, where a suite of advanced thermal management measures was applied and verified through both vehicle and bench testing. Key improvements included reducing the thermal mass of the coolant circuit to enable faster warm-up of the engine and major components, as well as refining ITM control logic through linear mapping and signal filtering for more precise target coolant temperature regulation. Enhanced
Lee, ChangJoo, LEE, KyuMin, Kim, Seonyeong, Nam, Choonho, YOO, JiHun
Energy Management Strategy for Hybrid Mining Trucks Based on Global SOC Planning and Neural Network Optimal Control2026-01-0446To be published on 04/07/2026
Hybrid mining trucks, as core equipment for mine transportation, face high energy consumption and significant fluctuations in power demand during cyclic operations due to prolonged exposure to demanding operating conditions characterized by heavy loads and variable working conditions. To address the issues of high energy consumption and significant fluctuations in power demand during the cyclic operation of mining trucks, this paper proposes a hybrid mining truck energy management strategy based on global SOC (State of Charge) planning and neural network optimization control. First, a powertrain model was developed for a typical operating cycle of a hybrid mining truck, and its accuracy was validated by comparing it with experimental data. Using dynamic programming algorithms to plan the SOC for single-cycle operations provides a rational reference for energy allocation across different operational phases of mining trucks during a single cycle. Next, using the powerful nonlinear
Yang, Jianyu, Zhao, Zhiguo, Chen, Huiyong, Li, Tao, ZHUANG, Wenyu, Shen, Peihong, Tang, Peng
The Impact of Fuel Injector Deposits on Fuel Consumption: Correlations & Consequences for Modern Compression Ignition Engines2026-01-0343To be published on 04/07/2026
Fuel injector cleanliness has been identified in the literature as the key factor for maintaining performance in modern compression ignition engines. Fuel injector nozzle deposits have been shown to restrict the mass of fuel that can be injected, resulting in power loss under full load. Several published studies have also investigated changes in fuel economy brought about from fuel injector nozzle deposits, but the majority of these have failed to demonstrate an unambiguous link between fuel economy and fuel injector nozzle deposits. In this paper, we present previously unpublished data from multiple platforms, including light- and heavy-duty, and from vehicle and stationary engine tests, with each showing a strong link between the formation of fuel injector nozzle deposits and associated losses in full-load power and increased brake specific fuel consumption (BSFC). A requirement for a tractable method is that it should be short enough to economically enable multiple repeats to
Smith, Alastair
The impact of various renewable hydrocarbons on performance and emissions in a super lean burn engine2026-01-0306To be published on 04/07/2026
Biofuels can play a key role as carbon-neutral transitional energy sources for ICE vehicles as the fleet moves towards increasing electrification. Blending of ethanol plays a key role in enhancing the anti-knock properties of the fuel and also allows renewable hydrocarbons (such as bio-naphtha) to be incorporated into the blend whilst maintaining an acceptable overall fuel quality. Super lean burn ICE technology with λ between 2 and 3 can lead to significantly enhanced fuel economy and reduced NOx emissions. The Toyota prototype engine used to generate data for this project injects most of the fuel in a PFI mode to generate a homogeneous super-lean charge in the cylinder, but just before spark ignition the DI injector sprays a small amount of fuel towards the spark plug to create a richer charge near the spark plug to promote flame kernel development. Various fuel formulations with a high biofuel content were tested in both conventional and super lean burn engines. Certain fuel
Aradi, Allen, Krueger-Venus, Jens, Jain, Sandeep Kumar, Cracknell, Roger, Kolbeck, Andreas, Shibuya, Masahiko, Yamada, Ryota, Matsubara, Naoyoshi, Kitano, Koji
A Study on Fatigue Life Prediction Method for Point-Based Joints Considering Multiple Fracture Modes – FDS, Blind Rivet, and Blind Nut Focus2026-01-0180To be published on 04/07/2026
The application of light weight alloys for vehicle bodies such as aluminum alloys and composite materials are rapidly advancing to support the construction of multi-material vehicle bodies. These materials play a crucial role in reducing overall vehicle weight, enhancing fuel efficiency, and complying with increasingly strict environmental regulations. As the automotive industry continues to evolve toward electrification and sustainability, the integration of lightweight and high-performance materials has become a key design strategy. However, the use of multiple materials introduces new challenges in manufacturing, particularly in joining technologies. Since different materials have varying mechanical properties, thermal behaviors, and surface characteristics, selecting appropriate joining methods is essential to ensure structural integrity and durability. Depending on the material types, thicknesses, production processes, and cost constraints, various joining techniques—such as
Takuno, Sougo, Isono, Toshiyuki, Urakawa, Kazushi, Goto, Suguru, Kawamura, Hiroaki, Niisato, Eita, Ishigami, Yuta
Multi-Objective Reinforcement Learning Framework for Transmission Shift Schedule Optimization2026-01-0162To be published on 04/07/2026
Building upon previous work that successfully employed a Reinforcement Learning (RL) agent for the autonomous optimization of transmission shift programs to enhance fuel efficiency , this paper addresses a critical limitation of that approach: the neglect of human-centric factors. While the prior methodology achieved substantial fuel consumption reductions by training an RL agent in a Software-in-the-Loop (SiL) environment, it did not explicitly account for aspects such as driver comfort and preferences, which are paramount for realworld user acceptance and drivability. This work presents a multi-objective optimization framework extending the artificial calibrator to simultaneously maximize fuel efficiency and enhance driver comfort. The method introduces a modified RL reward function that penalizes undesirable shift behavior to ensure a smooth driving experience (drivability). This new methodology also incorporates a mechanism to capture and integrate driver preferences, moving beyond
Kengne Dzegou, Thierry Junior, Schober, Florian, Rebesberger, Ron, Henze, Roman, Sturm, Axel
Simulation verification and design guide for P1+P2 hybrid built-in damper system2026-01-0006To be published on 04/07/2026
Among the hybrid system methods, the TMED (Transmission mounted electric device) method is divided into the TMED-1 system driven by the existing mass-produced P0+P2 motor and the TMED-2 system driven by the P1+P2 motor. It is known that the TMED-2 method improves power and fuel efficiency by about 10% or more compared to the TMED-1 due to the intervention of the P1 motor, and that carbon emissions can be reduced due to the improvement of engine thermal efficiency. However, the TMED-2 system is a structure that replaces the P0 motor with the P1 motor to improve power performance and transmission efficiency. The P1 motor is disadvantageous in terms of mountability due to its longer overall length compared to the P0. To solve this problem, the existing external damper system was designed and shaped to be assembled into the inner space between the P1 and P2 motors (built-in damper system), thereby securing mountability. The main development item that our company is currently researching is
Sun, Hyang Sun, GANESAN, KARTHIKEYAN
26M-00552026-01-0603To be published on 04/07/2026
Since air drag is proportional to the square of the speed, it is expected that reducing air drag will significantly improve fuel efficiency for long-distance trucks and buses, which are often driven at high speeds. Therefore, the purpose of this study is to propose a conceptual shape that will dramatically improve the aerodynamic performance of heavy-duty vehicles, assuming that restrictions on overall length will be relaxed in the future. Using NSGA-II, a genetic algorithm, the overall vehicle shape was optimized with the objective functions CD and CL values and design variables as parameters in a total of 13 locations. Among the Pareto solutions, CD = 0.08 was obtained when the CD value was the lowest. Since the CL value remains low with this shape, it can be seen that driving stability does not deteriorate. Among the design variables in optimization, it was confirmed that the corner radius of the vehicle side was particularly effective in reducing the CD value. In addition, when
Kawano, Daisuke
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
Aerodynamic Development of Maruti Suzuki VICTORIS2026-01-0602To be published on 04/07/2026
MSIL (Maruti Suzuki India Limited), India's leader in automotive sector, has various SUVs (Sports Utility Vehicle) in its model lineup. Conventionally, SUVs are considered to have an aggressive stance with a bold on-road presence, and this bold design language often deteriorates aerodynamic drag performance. In the past decade, the demand for this segment has significantly grown, whereas the CAFE (Corporate Average Fuel Economy) norms have become more stringent. To cater to this growing market demand, MSIL planned for a new compact SUV - VICTORIS with targeted best-in-class aerodynamic performance. This paper illustrates the aerodynamic development process for the vehicle using CFD (Computational Fluid Dynamics) and full scale WTT (Wind Tunnel Test). During the initial stages, the bolder design of the VICTORIS deteriorated the aerodynamic drag of the vehicle. Styling exterior surface modifications and addition of new aero parts facilitated the recovery of aerodynamic drag performance
Dey, Sukanta, Singh, Shekhar, Kumar, Chandan, Alphonse, Felix Regin
Embedded Real-Time Control of a Distributed Trailer Propulsion System with Regenerative Braking for Net Neutral Load Towing2026-01-0065To be published on 04/07/2026
Towing significantly degrades vehicle efficiency, reducing battery-electric vehicle (BEV) range by up to 50% and increasing internal-combustion engine (ICE) fuel consumption by ~30%. To address this challenge, this paper presents a real-time embedded control architecture for a distributed trailer propulsion system that actively regulates drawbar force to achieve net neutral load towing while enabling regenerative braking. Unlike prior e-trailer concepts, this platform demonstrates a cost-effective, fully networked, model-based control implementation using commercial off-the-shelf components. The control system integrates dual Raspberry Pi controllers running ROS 2: one samples a hitch-mounted load cell at 100 Hz and the other processes OBD-II/CAN messages. Controllers designed in MATLAB/Simulink are deployed to a 5 kWh LiFePO₄ pack and a 5 kW traction motor, utilising embedded Linux for real-time scheduling and onboard data logging. Two operating modes are implemented: (i) PI
Joshi, Gaurav, Adelman, Ian, Liu, Jun, Donnaway, Ruthie
Methodology to Quantify the Petroleum Equivalent Fuel Economy Impact of BEV Thermal System Energy Consumption2026-01-0132To be published on 04/07/2026
This paper will present research and 1D modeling results to support a proposed methodology to determine a fleet ambient weighted average Petroleum Equivalent Fuel Economy (PEFE) for the energy consumed by the thermal system of a BEV, including a proposal of how factor in the thermal system PEFE result into an OEM’s overall CAFE determination on an incentivized (not punitive) basis, within the existing regulatory framework. The topic is particularly important because EPA and NHTSA final rules issued in early 2024 eliminated A/C Efficiency Credits for BEVs that are currently in place for all classes of light duty vehicles. However, without some sort of regulatory incentivization, market forces will dictate thermal comfort system solutions that consume more energy – and with that more negative secondary effects such as higher greenhouse gas emissions and vehicle mass - than would otherwise be the case. Eliminating incentivization for BEVs is particularly concerning because the thermal
Taylor, Dwayne
Research on Energy Consumption Optimization Control Strategy for Hybrid Electric Passenger Vehicles2026-01-0450To be published on 04/07/2026
The energy management strategy of hybrid electric vehicles (HEVs) is critical to achieving overall vehicle efficiency. Current global optimization methods involve significant computational complexity. Conventional or adaptive equivalent consumption minimization strategy (ECMS) also present challenges in robustness and calibration efficiency, as they typically depend on real-time driving condition recognition and online parameter adjustment. To address these issues, this study proposes an engineering optimization framework based on a system efficiency lookup table approach. The method uses offline iterative simulation to determine a globally representative equivalent factor. It pre-computes the optimal system efficiency, drive modes, and energy allocation across the entire operating range. These results are stored in a lookup table that the vehicle control unit (VCU) can access in real time. This approach eliminates the uncertainties associated with online optimization. It also provides
Lin, Haoqiang, Wang, Jinhang, Chen, Lihua, Li, Huan
Study of Deposit Control Additive Efficacy in Gasoline Direct Injection Engines2026-01-0349To be published on 04/07/2026
There is an increasing adoption of Direct-injection spark-ignition (DISI) engines in the market, which per 2024 EPA Automotive Trends Report represents 73% of new vehicles sold in the US. And while it is well accepted that DISI offers advantages over Port fuel injection (PFI) technology in meeting stringent CO2 emissions and fuel economy requirements set by the EPA, DISI engines are also associated with increased formation of injector deposits. These deposits may foul injectors and accumulate on the injector tip causing distorted spray patterns and diffusive combustion. Ultimately, this leads to engine performance deterioration and increased harmful emissions. To control deposit formation, detergent-type chemistries are added to the fuel in small amounts. Deposit control additives (DCAs) function by preventing the formation of deleterious injector deposits as well as removing existing ones. Standardized protocols describing the assessment of DCA in controlling injector deposits have
Soriano, Nestor, Chahal, Jasprit, Lang, Wendy, Cracknell, Roger, Williams, Rod
Application of topology optimization to production-ready passenger seat components design2026-01-0498To be published on 04/07/2026
Lightweighting of components has become a key challenge in the development of modern transportation systems. The overall mass of a vehicle has a significant impact on its fuel efficiency and manufacturing cost. Therefore, the lightweight design of vehicle components is crucial in the industrial field. Topology optimization (TO) is a computational design approach aimed at achieving lightweight design. However, most existing studies focus on simplified academic models, with limited demonstration in real-world applications. This paper presents a practical implementation of TO in the design of three structural components in the real-world aerospace field: seatback frame, seat fuselage mount, and seat spreader. The optimization process incorporates realistic loading conditions and boundary constraints, followed by necessary adjustments to ensure manufacturability and ergonomic compatibility, providing production-ready designs. In addition, strategies for improving stress distribution in the
Lee, Hanbok Jake, Shi, Yifan, Gray, Savannah, Orr, Mathew, Park, Taeil, Wotten, Erik, LeFrancois, Richard, Huang, Yuhao, Patel, Anuj, Kim, Hansu, Jalayer, Shayan, Burns, Nicholas, Hansen, Eric, Grant, Robert, Kok, Leo, Kim, Il Yong
Establishing a Standard S-Factor: Improving Accuracy and Flexibility in SOC Corrections for HEV Testing2026-01-0422To be published on 04/07/2026
Hybrid-electric vehicle (HEV) fuel economy test procedures require that the net energy change (NEC) of the battery remain small enough to ensure accurate fuel usage results. SAE J1711-2010 required the NEC stay within 1% of fuel energy consumption, assuming that residual changes in state of charge (SOC) would have negligible impact. In practice, however, the asymmetry between fuel and electricity conversion efficiencies means that a 1% SOC imbalance can translate into a fuel consumption error approaching 3%. A standard S-Factor—a dimensionless ratio of marginal fuel change to marginal NEC change—was introduced in J1711-2023 to improve SOC corrections. The method improves accuracy by correcting all results for NEC changes and expands the NEC-to-fuel ratio (NECFR) window, enabling HEVs to use electric propulsion more aggressively and achieve higher fuel economy in testing and real-world usage. Using a standardized value (instead of requiring additional testing to determine the vehicle
Duoba, Michael
Intelligent Steering System to Improve Fuel Efficiency in Heavy Duty Vehicles2026-28-01032/12/2026
In commercial vehicles, conventional engine-driven hydraulic steering systems result in continuous energy consumption, contributing to parasitic losses and reduced overall powertrain efficiency. This study introduces an Electric Powered Hydraulic Steering (EPHS) system that decouples steering actuation from the engine and operates only on demand, thereby optimizing energy usage. Field trials conducted under loaded conditions demonstrated a 3–6% improvement in fuel economy, confirming the system’s effectiveness in real-world applications. A MATLAB-based simulation model was developed to replicate dynamic steering loads and vehicle operating conditions, with results closely aligning with field data, thereby validating the model’s predictive accuracy. The reduction in fuel consumption directly translates to lower CO₂ emissions, supporting regulatory compliance and sustainability goals, particularly in the context of tightening emission norms for commercial fleets. These findings position
T, Aravind Muthu Suthan, Mani, Kishore, Ayyappan, Rakshna, D, Senthil Kumar, S, Mathankumar
Development of Plug-In Hybrid Motorbike and Analysis towards Sustainable Urban Mobility2026-28-01112/12/2026
The transportation system is one major catalyst to urban ecological imbalance. In developing countries, two-wheelers are considered a major mode of urban personal transportation because of their compactness, easy maneuver in heavy traffic and good fuel efficiency. In India, middle and lower middle-class people prefer to choose two wheelers, and these vehicles are dominantly fuelled by gasoline. Although, the energy consumption by a two-wheeler is comparatively less than that of a four-wheeler, they use about 60% of the nation’s petroleum for on-road vehicles and the impact on urban air quality and climatic change is significantly high. This high proportion of gasoline utilization and emission contribution by two wheelers in cities demand greater attention to improve urban air quality and near-term energy sustainability. Electrification of two-wheelers through the application of a plug-in hybrid idea is a promising solution. A plug-in hybrid motorbike was developed by putting forth a
Kannan, Prashanth, Shaik, Amjad, Talluri, Srinivasa Rao
Plasma Surface Activation for Stronger, More Durable CFRP Bonds in Aerospace26AERP02_012/1/2026
Carbon fiber-reinforced polymers (CFRPs) have become essential in modern aerospace structures, from fuselage skins and wing components to nacelles, interior structures, and a growing range of primary load-bearing parts. Their high strength-to-weight ratio delivers major benefits in fuel efficiency, payload capacity, and fatigue performance. Yet achieving reliable adhesive bonds on CFRP surfaces remains a persistent engineering challenge. The low intrinsic surface energy of composites - particularly under thermal cycling, vibration, and moisture exposure - limits bond durability unless surfaces are properly prepared. Plasma surface treatment has emerged as a pivotal solution, offering a fast, controllable, and non-destructive way to increase surface energy, improve wettability, and enhance adhesion across complex geometries. This is especially important as the aerospace industry transitions from thermoset to thermoplastic composites (TPCs), which enable faster processing, lower
Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles2026-26-02571/16/2026
Hydrogen Fuel Cell Electric Vehicles (FCEVs) represent a significant trajectory in vehicular decarbonization, harnessing the inherently high energy density of diatomic hydrogen within electrochemical conversion systems. When sourced via renewable pathways, such hydrogen facilitates propulsion architectures characterized by zero tailpipe emissions, enhanced energy efficiency, and extended operational range profiles. Realizing peak systemic efficacy necessitates the synergistic orchestration of high-fidelity fuel cell stack design, resilient compressed gas storage modalities, and nuanced energy governance protocols. To reduce transient stressors and guarantee long-term electrochemical stability, employing multi-scale modeling and predictive simulation, combined with constraint-aware architectural synthesis, is crucial in handling stochastic driving conditions spectra. This study develops a high-fidelity mathematical plant model of a hydrogen Proton Exchange Membrane (PEM) fuel cell
Mulik, Rakesh Vilasrao, E, Porpatham, Senthilkumar, Arumugam
NVH Refinement on the Agriculture Tractor using Coupled Test and Simulation Approach2026-26-03161/16/2026
The Indian farmers choice of agriculture tractor brand is driven by the ease of operation and fuel efficiency. However, the customer preference for operator comfort is driving many tractor OEMs for improvement in noise and vibration at the operator location. Also, the compliance to CMVR regulation for noise at operator ear location and vibration at operator touch point location are mandatory for all the tractors in India. NVH refinement development of the tractor plays a critical role in achieving the regulated noise level and improved tactile vibration In presented work, the airborne sources such as exhaust tail pipe, intake snorkel and cooling fan are quantified by at tractor level through elimination method. The detailed engine level testing in engine noise test cell (hemi anechoic chamber) is carried out to estimate the contribution of engine components to overall noise. The outcome of Noise source identification (NSI) has revealed silencer, timing gear cover and oil sump to be
Gaikwad, Atul Annasaheb, Harishchandra Walke, Nagesh, Yadav, Prasad S, Bankar, Harshal
Wheel Corner Module Energy Losses and Potential Improvements2026-26-00961/16/2026
With the inevitable shift of automotive industry towards E-mobility and mandatory fuel efficiency targets, there is a need to evaluate the energy losses in the vehicle & identify potential areas of improvement. Energy losses are calculated for different components in the corner module system of a passenger car. Contribution of losses (resistances) from respective component are depicted using simple analytical models. Potential energy saving improvements were identified and analyzed basis emerging technologies in respective areas.
Raghatate, Kumar Shreyas, Vedartham, Raghavendra, Khanger, Rakesh, Bisht, Arun
Multibody Dynamic Analysis of Belt-Type CVT Systems in Two-Wheelers: A Study on Slip, Misalignment, and Transmission Efficiency2026-26-00791/16/2026
More efficient drivetrain technologies are in greater demand in the two-wheeler market as a result of the introduction of BS6.2 emission standards. In order to satisfy these performance and regulatory requirements, Continuously Variable Transmission (CVT) systems, which are renowned for their stepless gear shifting and increased fuel efficiency, are being given more and more consideration. However, because CVT is nonlinear and multibody dynamic, accurately predicting its behavior is still a difficult task. With an emphasis on variables like belt slip, pulley misalignment, and transmission efficiency, this study provides a thorough multibody dynamic analysis of a belt-type CVT system used in two-wheelers. High-fidelity analysis of the belt-pulley interaction under various load and speed conditions is now possible thanks to the development of a novel modeling methodology The method makes early design validation easier, minimizes iterations of physical prototyping and helps to maximize
Shah, Swapnil, Mane, Prashant, Voncken, Antonius, Emran, Ashraf
Performance Evaluation and Optimization of Engine Brake System using Chassis Dynamometer2026-26-05111/16/2026
Engine braking is a deceleration technique that leverages the internal friction and pumping losses within the engine. By closing the throttle and potentially selecting a lower gear, the engine creates a retarding force that slows the vehicle. This practice contributes to better fuel economy, decreased brake system load, and improved vehicle handling in specific driving scenarios, such as steep declines or slippery road surfaces. To alleviate stress on their primary braking systems and prevent overheating, heavy vehicles frequently incorporate engine-based braking. While older trucks relied on simple exhaust brakes with a butterfly valve to restrict exhaust flow, these had limited impact. Hence contemporary heavy vehicles almost exclusively use more advanced engine braking technologies. Traditionally, our heavy-duty vehicles use Exhaust brake system to elevate the braking performance on hilly terrains. Hence an improved sample of Engine brake was developed for enhanced braking
M, Vipin Prakash, Rajappan, Dinesh Kumar, R, Suresh, N, Gopi Kannan
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
For CNG and FFV Fuel Application Exhaust Valve Redesign and Robustness Improvement to Combat Abnormal Valve Guide and Seat Wear2026-26-01251/16/2026
Today, passenger car makers around the world are striving to meet the increasing demand for fuel economy, high performance, and silent engines. Corporate Average Fuel Economy (CAFE) regulations implemented in India to improve the fuel efficiency of a manufacturer's fleet of vehicles. CAFE goal is to reduce fuel consumption and, by extension, the emissions that contribute to climate change. CNG (Compressed Natural Gas) engines offer several advantages that help manufacturers meet and exceed these standards. The demand for CNG vehicles has surged exponentially in recent years, CNG engine better Fuel efficiency and advantage in CAFÉ norms make good case for OEM & Customer to use more CNG vehicle. CNG is dry fuel compared to gasoline. These dry fuels lack lubricating properties, unlike conventional fuels like petrol, diesel and biofuels, which are wet and liquid. Consequently, the operations and failures associated with these fuels differ. The materials and designs of engine parts, such as
Poonia, Sanjay, Kumar, Chandan, Sharma, Shailender, Khan, Prasenjit, Bhat, Anoop, P, Prasath, Neb, Ashish
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
Parametric Evaluation of Rolling Resistance in Bias & Radial Tyres and Influence of Key Operational Parameters under Varying Conditions2026-26-06061/16/2026
Tyre rolling resistance is a fundamental parameter in automotive engineering, directly impacting vehicle fuel efficiency and overall performance. The Rolling Resistance Coefficient (RRC) is influenced by tyre construction, material properties, and operational conditions such as inflation pressure, vehicle speed, ambient temperature, and road surface roughness. This study investigates the influence of critical parameters—including test speed, inflation pressure, temperature on the rolling resistance of tyres of various sizes. While previous research has predominantly focused on radial tyres, this paper extends the analysis to include bias-ply tyres. The findings aim to offer valuable insights for policymakers and researchers by examining the behavior of bias tyres under real-world conditions. The results will be particularly beneficial for vehicle and steering system designers, offering data-driven insights to support future tyre and vehicle development. Additionally, the study presents
Joshi, Amol, Belavadi Venkataramaiah, Shamsundara, Khairatkar, Vyankatesh
Auto Braking System for Preventing Commercial Vehicle Overloading2026-26-00321/16/2026
Overloading in vehicles, particularly trucks and city buses, poses a critical challenge in India, contributing to increased traffic accidents, economic losses, and infrastructural damage. This issue stems from excessive loads that compromise vehicle stability, reduce braking efficiency, accelerate tire wear, and heighten the risk of catastrophic failures. To address this, we propose an intelligent overloading control and warning system that integrates load-sensing technology with real-time corrective measures. The system employs precision load sensors (e.g., air below deflection monitoring via pressure sensors) to measure vehicle weight dynamically. When the load exceeds predefined thresholds, the system triggers a multi-stage response: 1 Visual/Audio Warning – Alerts the driver to take corrective action. 2 Braking Intervention – If ignored, the braking applied, immobilizing the vehicle until the load is reduced. Experimental validation involved ten iterative tests to map deflection-to
Raj, Amritesh, Pujari, Sachin, Londhe, Mahesh, Shirke, Sumeet, Shinde, Akshay
A Comparative Analysis of Passenger Car Fuel Economy between Laboratory and Real Driving Testing2026-26-02251/16/2026
In India, fuel economy is one of the most critical factors influencing a customer's decision to own a passenger car. Beyond consumer preference, fuel consumption also plays a significant role in the nation's energy security. In line with this, the government promotes fuel-efficient vehicles and technologies through various regulations, policies, and mandates. Vehicle manufacturers, in response, focus on designing vehicles that align with both customer expectations and regulatory requirements. Fuel economy certification is typically based on standardized laboratory tests that simulate controlled environmental conditions, driving cycle (MIDC), vehicle load, and operation of electrical and electronic systems. However, actual on-road driving conditions by end user vary significantly due to factors such as traffic conditions, ambient temperature, air conditioning use, driving behavior and variable loading of the vehicle. With implementation of Bharat Stage VI, Real Driving Emission (RDE
Singh, Abhay Pratap, Bathina, Revanth Kumar, Tijare, Shantanu
Study of Drive Trace Indices and Their Correlation with CO 2 in Chassis Dynamometer2026-26-05171/16/2026
With introduction of Corporate Average Fuel Efficiency norms (hereafter referred as CAFÉ norms) in India, the manufacturers of all M1 Category vehicles (not exceeding 3,500kg GVW) must ensure that they comply with Annual Corporate average CO2 target as defined in regulation. Moreover, this target will become stricter at various stages in the coming years. Hence CO2 emissions are becoming one of the major focus parameters during vehicle development. There are several factors that can impact CO2 emissions during measurement in laboratory-based test cycles such as MIDC or WLTC. One such major factor is driving variations. Although speed and time tolerances are provided during the test (as part of AIS 137/AIS 175) to limit the variation, even within these tolerances, drive-related effects make significant contribution to test results variability. Monitoring and control of such variations is important to understand the true fuel economy potential of the vehicle. Drive Trace indices are
ER, Shivram, Rawat, Vijaypal, Khandelwal, Vineet, Kumar, Arun, Malhotra, Jitendra
A High-Fidelity Transient Fluid-Structure-Interaction Methodology for Evaluation of Rear Bumper Flutter of a Vehicle2026-26-04101/16/2026
The present work demonstrates a transient Fluid-Structure-Interaction (FSI) based numerical methodology for estimation of aerodynamic-induced flutter of the rear bumper of a Sports Utility Vehicle (SUV). Finite Volume Method (FVM) based High-fidelity transient full vehicle aerodynamic simulations were conducted for the estimation of the transient aerodynamic load. Subsequently, by mapping this transient aero load onto the surface of the rear bumper, Finite Element Method (FEM) based dynamic structural simulations were performed to predict its response. The results obtained through simulations were then compared against experimental wind tunnel test data of a prototype car with modified bumper for the specific test-case. The pressure and the time series data of rear bumper deflection were captured at multiple probe locations from wind tunnel experiments at 140 and 200 kmph. The distribution of pressure on the rear surfaces of the car was well captured by the aerodynamic simulation at
Choudhury, Satyajit, Yenugu, Srinivasa, Walia, Rajat, Zander, Daniel, Gullapalli, Atchyut, Balan, Arun, Astik, Pritesh
Combustion Noise Quality Improvement in a Common rail Diesel Engine at Low Idle using Taguchi DOE2026-26-03291/16/2026
Noise quality at idle condition is an important factor which influences customer comfort. Modern diesel engines with stringent emission norms together with fuel economy requirements pose challenges to noise control. Common rail engine technology has advantage of precise fuel delivery and combustion control which needs optimization to achieve the conflicting requirements of noise, emission and fuel efficiency. Engine noise at low idle condition is dominated by combustion noise which depends on rate of pressure rise inside the cylinder during combustion. The important parameters which influence cylinder pressure rise are fuel injection timing, pilot injection quantity and its separation, rail pressure and EGR valve position. The study on effect of these parameters at varying levels demand large no of experiments. Taguchi design of experiments is a statistical technique which can be used to optimize these parameters by significantly reducing no of experiments needed to achieve the desired
P, Priyadarshan, Chavan, Amit, A, Kannanswamy, Patil, Sandeep, Chaudhari, Vishal V
Design & Analysis of Dual Mass Flywheel During Engine Startup Condition in 3 Cylinder Gasoline Application2026-26-03491/16/2026
Modern automotive powertrains are increasingly adopting engine downsizing and down speeding to meet stringent emission regulations and improving fuel efficiency However, these changes result in higher torsional vibrations excitation amplitudes and NVH (Noise, Vibration, and Harshness) refinement more challenging. With growing customer expectations for premium driving experiences conventional clutch is no longer sufficient. To meet the NVH performance targets of the vehicle Dual Mass Flywheels (DMFs) are used In DMF due to lower stiffness and inertia separation there is a greater advantage on torsional filtration in normal drive and idle condition. But the torsional resonance frequency of the connected DMF is lower than the idle RPM. Engine startup is a key drawback with DMF equipped vehicles. The proper tuning of starter motor performance & DMF stiffness is required to cross the resonance zone faster otherwise it will lead to DMF to stay in the resonance zone for a longer time leading
Jayachandran, Suresh Kumar, Vijayaragavan, Thirupathi, M, Devamanalan, Kanagaraj, Pothiraj, Ahire, Manoj, Vellandi, Vikraman
Mitigating Air Flow Sensor Signal Variability to Optimize Engine Operation in Passenger Cars2026-26-05121/16/2026
In order to control the engine performance which is driven by the strict emission regulations and customer request for the improved fuel economy, precise air intake measurement and fuel control system are essential. In the modern engines, the mass air flow sensor (MAF) acts an important role which provides a precise estimation of air flow from the clean side ducting of air intake system to engine control unit module (ECU). The hot wire mass air flow sensor are mounted on the clean side of the air intake system in order to protect the sensing element from the contamination and to extend their lifespan as well as maintain its accuracy. It is essential to maintain a steady and a uniform airflow at the sensing element of the MAF sensor for reliable sensor reading at different engine speeds and varying engine load. However, the physical limitations of engine packaging inside the engine bay, limits the sensor placement. Incorrect sensor mounting can lead to errors in the airflow estimation
Sonone, Sagar Dinesh, Zope, Mahesh, Kale, Vishal, Padmawar, Harshad, Sridhar, S, Kolhe, Vivek M, Panwar, Anupam
First in the Industry 8.5 Ton GVW on Four Tyre Truck with 245/90R16 Tyre – A Global First2026-26-06021/16/2026
This project introduced a brand-new tire size 245/90R16 for the first time globally in the 16-inch tube-type category, designed specifically for commercial vehicles with Vehicles 8.5T -12T gross vehicle weight (GVW). The main goal was to create a compact vehicle that can carry more payload, reduce overall weight, and improve fuel efficiency with use of rear single tyre instead of twin tyre in 8.5T. This helps customers lower their operating costs and improve vehicle performance, especially on narrow roads. The new tire supports high load capacities: up to 2300 kg for single tire use and 2180 kg for dual tire fitment. It enables a new type of vehicle to be developed an 8.5-ton GVW vehicle with rear single tires offering better payload capacity without increasing the size of the vehicle. By using this new tire, the kerb weight of the vehicle is reduced, which increases the payload and helps improve fuel economy. This helps lower the cost of the vehicle by optimizing surrounding
Pawar, Dhondiram Dnyandeo, Shaikh, Matin, Ambekar, Prasad
Evaluation of Intercooler Effectiveness with No Fan, Single Fan, and Dual Fan: A Simulation and Experimental Study2026-26-05791/16/2026
Turbochargers play a crucial role in modern engines by increasing power output and fuel efficiency through intake air compression, thereby improving volumetric efficiency by allowing more air mass into the combustion chamber. However, this process also raises the intake air temperature, which can reduce charge density, lead to detonation, and create emissions challenges—such as smoke limits in diesel engines and knock in gasoline spark-ignited (GSL) engines. To mitigate this, intercoolers are used to cool the compressed air. Due to packaging constraints, intercoolers are typically long and boxy, limiting their effectiveness, especially at low vehicle speeds where ram air flow is minimal. This study investigates the use of auxiliary fans to enhance intercooler performance. Two methodologies were adopted: 1D simulation using GT-Suite and experimental testing on a vehicle under different fan configurations—no fan, single fan, and dual fans (positioned near the intercooler inlet and outlet
Patra, Somnath, Hibare, Nikhil, Ganesan, Thanigaivel, Gharte, Jignesh Rajendra
Migration from MIDC to WLTP in India: Challenges & Solutions for a Small Commercial Vehicle2026-26-02151/16/2026
In line with global peers (EU, Japan, etc.), the Automotive Industry Standard (AIS) Committee in India has decided to adopt “World harmonized Light vehicle Test Procedure (WLTP)” for M2 and N1 category vehicles not exceeding 3500 kg and for all M1 category vehicles. As a result, “World harmonized Light-duty vehicles Test Cycle (WLTC)” is set to replace currently applicable “Modified Indian Drive Cycle (MIDC)” in the next couple of years. The draft Corporate Average Fuel Economy (CAFE) III & CAFE IV norms for CO2 emission limits, which are set to be implemented in year 2027 and 2032 respectively refer to a shift to WLTP from MIDC. The latest draft of Central Motor Vehicle Rules (CMVR) for BS-VI emissions is also being revised to use WLTC as test cycle. This migration to WLTC is in sync with the demand for test procedures to replicate real driving conditions more appropriately. Further, the move to WLTC along with stricter emission norms is a major step towards realizing India’s COP26
Pawar, Bhushan, Ehrly, Markus, Sandhu, Rouble, Emran, Ashraf, Berry, Sushil
Development of above 500 kW Diesel Engine & After Treatment System to Meet CPCB-IV+ Emission Norms2026-26-02341/16/2026
The CPCB-IV+ emission compliance for genset application is applicable with effect from 1st July 2023 as per as per GSR 804(E). The CPCB-II to CPCB-IV+ changeover in very stringent in emission front by almost 90 % emission reduction. It’s a significant advancement in environmentally sustainable powertrain technology. To meet the CPCB-IV+ Emission, combustion development & ATS technology plays an important role. First is the base engine need to optimize enough with combustion & associated parts. Second is the after treatment system which will carry the battle further to the engine emission with minimum margin of 10 % engineering target. This paper present the systematic approach followed to meet CPCB-IV+ emission norms for upgradation of 21 litre TCIC engine for the power range (56 < P ≤ 560). Here the challenge to avoid major changes in the existing CPCB-II FIE recipe & meet the CPCB-IV+ emission with ECU calibration & ATS system calibration with its potential. Here interesting parts
Rane, Vikas, Jagtap, Shailesh, Gothekar, Sanjeev, Pawar, Narendra V, Khedkar, Prasad, Kagade, Samadhan, Kendre, Mahadev, G Bhat, Prasanna, Thipse, S
Numerical Study of a Hydrogen Ejector with Regulated Inlet for Extended PEMFC Operating Range in Automotive Application2026-26-02491/16/2026
Hydrogen recirculation is a primary requirement for improving fuel efficiency and anode stability in Proton Exchange Membrane Fuel Cell (PEMFC) systems, particularly in automotive applications. Effective hydrogen recirculation is critical for maintaining high efficiency and fuel utilization. A hydrogen recirculation ejector equipped with a regulated pressure inlet, which eliminating the need for mechanical pumps while maintaining optimal hydrogen utilization. The passive operation of the ejector eliminating the need for rotary components which significantly improves system reliability and reduces failure modes associated with moving parts. This work presents a numerical investigation of a hydrogen recirculation ejector featuring a regulated pressure inlet, with the objective of extending its operating range across varying fuel cell power levels. A combination of 1D system-level modelling and 2D multi-species Computational Fluid Dynamics (CFD) simulations was employed to evaluate
Khot, Ranjit Uttreshwar, T P, Muhammad, Chougule, Abhijeet, Achanur, Mallappa
Effect of Flow Forming Process on the Mechanical Properties and Microstructure of GDC & LPDC Cast Aluminium Alloy Wheels2026-26-02981/16/2026
Aluminum alloy wheels have become the preferred choice over steel wheels due to their lightweight nature, enhanced aesthetics, and contribution to improved fuel efficiency. Traditionally, these wheels are manufactured using methods such as Gravity Die Casting (GDC) [1] or Low Pressure Die Casting (LPDC) [2]. As vehicle dynamics engineers continue to increase tire sizes to optimize handling performance, the corresponding increase in wheel rim size and weight poses a challenge for maintaining low unsprung mass, which is critical for ride quality. To address this, weight reduction has become a priority. Flow forming [3,4], an advanced wheel rim production technique, which offers a solution for reducing rim weight. This process employs high-pressure rollers to shape a metal disc into a wheel, specifically deforming the rim section while leaving the spoke and hub regions unaffected. By decreasing rim thickness, flow forming not only enhances strength and durability but also reduces overall
Singh, Ram Krishnan, Medaboyina, HarshaVardhan, G K, Balaji, Gopalan, Vijaysankar, Sundaram, Raghupathi, Paua, Ketan
Data-Driven Prediction of Global Automotive Trends: Forecasting Fuel Economy and CO₂ Emissions Using Machine Learning2026-26-06431/16/2026
In the pursuit of environmental sustainability and cleaner transportation, the global automotive industry is expediting transformation. This paper utilized multi-decade data spanning from 1975 to 2024, for the development of predictive models for fuel economy and CO₂ emissions across a wide range of vehicle technologies from 2026 - 2050. This is done with the help of advanced machine learning algorithms like Linear and Random Forest Regression in Python and integrating insights through Power BI visualizations, the project identifies key correlations between vehicle attributes such as weight, powertrain, and footprint and their environmental performance. Results highlight the increasing impact of electric vehicle adoption, hybridization, and light weighting on overall emissions reduction. These insights help forecast the direction of fuel economy standards, emission patterns, and technology shifts across manufacturers and vehicle types. Beyond technical predictions, the study offers a
Hazra, Sandip, Tangadpalliwar, Sonali, Hazra, Sanjana
Experimental Approach to Investigate VVT Malfunction in SI Gasoline Engine2026-26-05581/16/2026
Variable Valve Timing (VVT) is an advanced technology implemented in internal combustion engines to optimize the opening and closing timing of the intake and exhaust valves. Its primary objective is to improve engine performance, fuel efficiency, and reduce emissions by dynamically adjusting the valve timing based on the engine’s operating conditions i.e. engine speed and load conditions. However, the VVT system may experience various operational issues caused due to low engine oil levels, contaminated engine oil, solenoid malfunctions, and camshaft phaser issues, which can adversely affect engine performance, fuel efficiency, and emissions. This paper provides an in-depth analysis of VVT malfunctions, specifically attributed to the resonance effect of VVT components at various engine RPMs & oil temperature. The study also explains the phenomenon causing VVT sluggishness during advance phase due to resonance between oil pulsation & VVT components. Other factors contributing to VVT
Jha, Ankur, Sau, Sanjoy, Kumar, Bharat, Sandeep, Sandeep
Structural Analysis and Design Optimization of Cylinder Head of Cummins Light Duty Engine for Medium Wheelbase (MWB) Pick-Up Truck2026-26-04951/16/2026
This paper presents the design, structural analysis, structural test validation and risk assessment done by Cummins to evaluate the structural integrity of Light Duty engine cylinder head for a Medium Wheelbase (MWB) pick-up truck. Initially, Cummins used the 2.5L and 3.0L (4-cylinder) engines that have standard power ratings based on existing requirements, but rising market demands for more power, fuel efficiency, lower cost and weight, and future emission compliance led to customer requirements for 15% uprate for 2.5L and 22% uprate for 3.0L from the same base engine. The increase in power requirement possesses challenges on critical components, especially cylinder heads in terms of thermal and structural limits. Multiple analysis led design iterations were performed using cutting edge CAE software such as Ansys, Dassault Systems fe-safe, and PTC Creo to ensure the structural integrity of the cylinder head under high thermal and mechanical loads, and to keep design margins within
Pathak, Arun Jyoti, Adiverekar, Vaidehi, Singh, Rahul, Biyani, Mayur
Feasibility Study of Cylinder Deactivation (CDA) Technology for an Off-Highway Tractor Engine2026-26-00741/16/2026
Cylinder Deactivation technology is explored as an effective mechanism for enhancing the fuel economy and reducing emissions in internal combustion engines. The current exercise focuses upon the feasibility of Cylinder Deactivation technology in a 3-cylinder, 3.3-liter naturally aspirated, water-cooled diesel engine from the off-highway tractor application. A meticulous 1D thermodynamic simulation with individual cylinders deactivated one by one, has proved that deactivating the second cylinder yields the most favorable fuel economy, emissions and engine balancing, particularly at the loads lower than 54% and across all engine speeds. Upon deactivating the cylinders at Top Dead Centre (TDC) and Bottom Dead Centre (BDC), it has been concluded that the most effective deactivation point occurs at TDC, where the minimum air mass is trapped inside the cylinder. This results in a reduction of pumping and friction losses by maximum 34% and an increase in brake thermal efficiency by maximum 26
Choudhary, Vasu, Saini, Sanjay, Mukherjee, Nalini, Nene, Devendra
Electroluminescent Coating Systems for Heavy-Duty Trucks: Advancing Safety and Sustainability through Smart Surface Technology2026-26-02751/16/2026
As the transportation industry pivots towards safer and more sustainable mobility solutions, the role of advanced surface technologies is becoming increasingly critical. This paper presents a novel application of electroluminescent (EL) coating systems in heavy-duty trucks, exploring their potential to enhance vehicular safety and reduce environmental impact through lightweight, energy-efficient lighting integration. Electroluminescent coatings, capable of emitting light uniformly across painted surfaces when electrically activated, offer a transformative alternative to conventional external lighting and reflective materials. In the context of heavy-duty trucks, these systems can significantly improve visibility under low-light and adverse weather conditions, thereby reducing the risk of road accidents. Furthermore, the uniform illumination achieved without bulky fixtures contributes to aerodynamic efficiency, supporting fuel economy and reducing carbon emissions. use of this coating
Harel, Samarth Dattatraya, Borse, Manoj, L, Kavya
The Aerodynamic Development of a Compact SUV for FE Improvement Compliance with CAFE Norms2026-26-05951/16/2026
The Mahindra XUV 3XO is a compact SUV, the first-generation of which was introduced in 2018. This paper explores some of the challenges entailed in developing the subsequent generation of this successful product, maintaining exterior design cues while at the same time improving its aerodynamic efficiency. A development approach is outlined that made use of both CFD simulation and Coastdown testing at MSPT (Mahindra SUV proving track). Drag coefficient improvement of 40 counts (1 count = 0.001 Cd) can be obtained for the best vehicle exterior configuration by paying particular attention to: AGS development to limit the drag due to cooling airflow into the engine compartment Front wheel deflector optimization Mid underbody cover development (beside the LH & RH side skirting) Wheel Rim optimization In this paper we have analyzed the impact of these design changes on the aerodynamic flow field, Pressure plots and consequently drag development over the vehicle length is highlighted. An
Vihan, Nikhil
Exploring Advanced Additive Chemistry for Achieving Fuel Economy in Passenger Car Motor Oils2026-26-05291/16/2026
Original Equipment Manufacturers (OEM’s) are focusing on the fuel economy of passenger cars to meet the next generation emission norms. Few techniques such as downsizing engines, raising lubricant temperature, reducing combustion time and regulating the start-stop system of engines are various efforts being considered by Automobile OEMs to attain fuel efficiency along with next generation emission norms. On the other hand, lubricants used for such engines are also to be modified accordingly to meet more fuel efficiency. Lowering viscosity along with addition of friction modifiers for normalizing frictional losses is widely practiced as the most economical techniques. To achieve this lubricant formulator and additive manufacturers have moved towards modern base oils and advanced additive technologies. This study is done to understand key parameters which reduce friction and increase fuel economy using same viscosity grade oils. In the current study, we have formulated different low
Vabbina, Shiv Kumar, Katta, Lakshmi, Joshi, Ratnadeep, Chaudhary, Rameshwar, Seth, Sarita, Bhardwaj, Anil, Arora, Ajay Kumar
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