Browse Topic: Off-highway vehicles and equipment

Items (723)
Off-road vehicles need to adapt to harsh road environments and wild driving, so their rollover stability is very important. It is of great significance to predict and control the rollover stability of off-road vehicles based on the vehicle's driving state. This paper adopts a prediction method for off-road vehicle stability based on TTR (Time to Rollover), uses the LQR (Linear Quadratic Regulator) multi-objective optimization control method to perform anti-rollover control. Firstly, in view of the rollover risk of intelligent off-road vehicles under extreme road conditions, a three-degree-of-freedom rollover model of the vehicle is established, and a rollover failure index is proposed. Then, based on the TTR, a rollover failure prediction algorithm is developed. Next, the braking force through LQR controller is determined and the differential braking method is adopted for vehicle anti-roll control. Finally, a simulation platform is built based on CarSim and Simulink to simulate and
Hu, YutaoDing, RonghaoWu, DongmeiWang, JinxiangGuan, JieChen, Meng
Antilock braking systems (ABS) are critical to ensuring vehicle safety, particularly in challenging off-road environments where the braking dynamics is highly complex. This study focuses on the development of an advanced ABS controller for heavy off-road vehicles to improve operational safety and reliability. For this purpose, a Model-based Predictive Control (MPC) is proposed. The predictive capabilities of MPC, which optimize control actions based on system dynamics and constraints, are highlighted as a key aspect of this approach. The controlled system is modeled and simulated using a quarter-car model and a deformable ground model, providing a realistic representation of off-road conditions. Comparative simulations are conducted to evaluate the performance of both controllers, focusing on their effectiveness in maintaining stability and improving braking efficiency.
Sawada, Fernando SatoshiSantos, Luís Guilherme CavalcanteRodrigues, Gustavo SimãoRossi Lopes, Elias Dias
As I'm wont to do come December, with work well underway on the first issue of the new year, I like to take stock of upcoming venues for innovative product reveals and thought-provoking presentations on emerging trends and technologies. Come the first week of January, that means CES in Las Vegas. Traditional equipment manufacturers have increasingly used the event to demonstrate to the broader public that they not only deal in metal but also the digital realm. For example, earlier this year at CES, John Deere revealed its second-generation tech stack featuring camera pods, Nvidia Orin purpose-built processors and Deere's VPUs (vision processing units), along with four new autonomous machines including the 9RX 640 tractor for open-field ag operations. The company is exhibiting again this coming year.
Gehm, Ryan
Stoneridge displayed its vision for the future of commercial vehicle technology on the SAE COMVEC 2025 exhibit floor. The Innovation Truck showcases the Tier 1 supplier's next-generation vision and driver-assistance technologies designed to enhance driver safety and fleet optimization. Mario Gafencu, product design and evaluation specialist at Stoneridge, gave Truck & Off-Highway Engineering a tech truck walkaround at the event. The first technology Gafencu detailed was the second-generation MirrorEye camera monitor system that's designed to replace the glass mirrors on the sides of a truck.
Gehm, Ryan
FEV has a solution to downsize and reduce the complexity of off-highway machines via its electrified planetary gearset architecture. IVT Expo 2025 in Chicago featured a summit where industry professionals presented and discussed the nuts and bolts of the technology that powers the off-highway vehicle industry. Electrification continues to be a centerpiece of these discussions, but OEMs and suppliers are beginning to supply answers to many of the questions that this challenge presents. During the expo, several presentations covered the integration of electric powertrains at the component and architecture level. One presented by Thomas Wellman, chief engineer, drivetrain systems, FEV North America, detailed an EPGS (electrified planetary gear-set) off-highway drivetrain architecture that is modular and scalable for a variety of powertrain configurations.
Wolfe, Matt
The knuckle boom loader machine experiences a significant issue where rapidly retracting the joystick to the neutral (0) position causes the machine’s legs to lift momentarily. This unintended momentarily lifting occurs when the joystick is moved back quickly, while gradual movements do not trigger this effect. Addressing this problem is crucial for operational efficiency. The primary objective of this project is to develop a machine learning model to predict jerk based on joystick movements. This prediction will aid in creating a model predictive controller (MPC) that suggests optimal joystick positions, thereby reducing unintended lifting. To simulate the knuckle boom loader’s response to joystick inputs, a high-fidelity Simulink model developed using Simscape Multibody was utilized. Data were collected through a Design of Experiments (DOE), logging key parameters such as head side pressure, jerk, jerk rate, and lift levels across various joystick positions. The input features for
Kamaraj, Keerthi VallarasuBayyavarapu, ChanduGotmare, AkashPandey, Prashant
A futuristic vehicle chassis rendered in precise detail using state-of-the-art CAD software like Blender, Autodesk Alias. The chassis itself is sleek, low-slung, and aerodynamic, constructed from advanced materials such as high-strength alloys or carbon-fibre composites. Its polished, brushed-metal finish not only exudes performance but also emphasizes the refined form and engineered details. Underneath this visually captivating structure, a sophisticated system of self-hydraulic jacks is seamlessly integrated. These jacks are situated adjacent to the four shock absorber mounts. These jacks are designed to lift the chassis specifically at the tyre areas, and the total vehicle, ensuring that underbody maintenance is efficient and that, in critical situations, vital adjustments or emergency lifts can be performed quickly and safely. The design also incorporates an intuitive control system where the necessary buttons are strategically placed to optimize driver convenience. Whether
Gogula, Venkateswarlu
Off-highway vehicles (OHVs) frequently operate in extreme environments—ranging from arid deserts and frozen tundras to dense forests and abrasive mining zones—where structural wear, impact damage, and environmental stress compromise their material integrity. Frequent repairs and component replacements increase operational costs, downtime, and environmental waste, making durability and sustainability key concerns for next-generation vehicle systems. This paper explores a novel class of self-healing biodegradable composites, inspired by biological systems, to address these challenges. The proposed materials combine bio-based resins, microencapsulated healing agents, and shape-memory polymers (SMPs) to autonomously repair microcracks and surface-level damage when triggered by thermal, UV, or mechanical stimuli. The design draws inspiration from natural self-healing systems such as tree bark and reptile skin, replicating their regenerative behavior to enhance structural resilience in OHVs
Vashisht, Shruti
This study presents a methodology to develop a new 25kWh battery pack for off-highway application. Initially an enclosure space is extracted from tractor model maintaining minimum space with adjacent components. Based on available space, various combination of cell form factors and different cell chemistries are evaluated considering operating ambient temperature range (-20 to 45 deg C) and charge/discharge rate 1C. Cylindrical NMC type cell with indirect cooling system fulfils all our technical requirements. However, complete battery pack thermal simulation is carried out for ensuring battery pack safety and limited deterioration with different discharge rate and wider temperature range. The battery pack model contains multiple cells, bricks, and modules with numerous coolant pipes and flow channels. Cell characterization experimental data is used for estimating cell thermal capacity and IR behavior. Battery pack model is tested with different Charge/discharge rates. Five
Nain, AjayLamba, Shamsherjayagopal, Sdhir, Anish
The rapid evolution of autonomy in Off-Highway Vehicles (OHVs)—spanning agriculture, mining, and construction—demands robust cybersecurity strategies. Sensor-control systems, the cognitive core of autonomous OHVs, operate in harsh, connectivity-limited environments. This paper presents a structured approach to applying threat modeling to these architectures, ensuring secure-by-design systems that uphold safety, resilience, and operational integrity.
Kotal, Amit
The new Stage 5 emission regulation requires several changes on engines as well as design and development of new auxiliary systems. These changes affected the engine dynamics and NVH characteristics. These changes are validated for various operating conditions on engine test cell in a controlled environment where engine is mounted on test cell with dyno. Further, this engine will be used by other machine forms, hence NVH performance needs to be evaluated for all the applications. Isolation of three-cylinder engines is challenging since it has to deal with inherent imbalance forces while providing the isolation to meet the durability requirements of heavy applications from off highway machines. This paper covers the methods used for verification of engine isolation performance. NVH tests are conducted for integration of three-cylinder engine with roadbuilding machine. An analytical model is developed to identify rigid body modes and mount transmissibility. Results from this analytical
Pawar, Sachin M.Mandke, Devendra LaxmikantKASABE, SANDEEPJadhav, Vijay
Off-highway vehicles (OHVs) in sectors such as mining, construction, and agriculture contribute significantly to global greenhouse gas (GHG) emissions, particularly carbon dioxide (CO₂) and nitrogen oxides (NOₓ). Despite the growth of alternative fuels and electrification, diesel engines remain dominant due to their superior torque, reliability, and adaptability in harsh environments. This paper introduces a novel onboard exhaust capture and carbon sequestration system tailored for diesel-powered OHVs. The system integrates nano-porous filters, solid-state CO₂ adsorbents, and a modular storage unit to selectively capture CO₂ and NOₓ from exhaust gases in real time. Captured CO₂ is then compressed for onboard storage and potential downstream utilization—such as fuel synthesis, carbonation processes, or industrial sequestration. Key innovations include: A dual-function capture mechanism targeting both CO₂ and NOₓ Lightweight thermal-regenerative adsorption materials Integration with
Vashisht, Shruti
Traditionally, off-highway vehicles like tractors and construction machinery have relied on hydraulic, viscous, or fixed fans to meet the cooling demands of diesel engines. These fans draw power from the engine, impacting fuel consumption and contributing to noise levels that affect operator comfort. Recently, the adoption of electric fans in off-highway applications has increased due to their energy efficiency, lower noise, and flexible design. Electric fans can cool various components, such as radiators and condensers, and can be positioned for optimal performance. They are easily selected from established supplier catalogs based on application requirements like machine voltage, fan size, and type. This study explores various fan arrangements, including pusher and puller types, and multiple electrical fan banking based on cooler zones to improve cooling system performance without changing cooler size or specifications. A mathematical flow model was developed for both setups: the
Durairaj, RenganathanDewangan, NitinAnand, KetanBhujbale, Sagar
To provide needs of food, clothing and infrastructure for growing population of the world, off-highway vehicles such as those in construction, agriculture and commercial landscaping are moving towards electrification for enhanced precision, productivity, efficiency and sustainability. It has also paved way to adopt autonomy of these vehicles to address challenges like skilled labour shortage for timely and efficient execution. There are many challenges and opportunities of electrification in off-highway domain, be it through completely replacing engine in vehicles or efficiency improvements using hybrid architecture for powertrain and auxiliary power demands, electrification being key enabler precision and speed of the complex operations, automation of complex operation. This paper explains the need of electrification in electric off-highway vehicles and shows how the electrification solves the current challenges faced by off-highway heroes like farmers, construction site owners and
Deshpande, Chinmay VasudevMujumdar, ChaitanyaBachhav, Kiran
Off-highway vehicles (OHVs) are essential in heavy-duty industries like mining, agriculture, and construction, as equipment availability and efficiency directly affect productivity. In these harsh settings, conventional maintenance plans relying on set intervals frequently result in either early component replacements or unexpected breakdowns. This document presents a Connected Aftermarket Services Platform (CASP) that utilizes real-time data analysis, predictive maintenance techniques, and unified e-commerce functionalities to evolve OHV fleet management into a proactive and smart operation. The suggested system integrates IoT-enabled telematics, cloud-based oversight, and AI-powered diagnostics to gather and assess machine health indicators such as engine load, vibration, oil pressure, and usage trends. Models for predictive maintenance utilize both historical and real-time data to produce advance notifications for component failures and maintenance requirements. Fleet managers get
Vashisht, Shruti
This paper presents an analysis methodology developed to comprehend the impact of pressure spikes in off-highway applications, particularly during PTO (Power Take-Off) clutch engagement. These pressure spikes can adversely affect hydraulic subsystem components such as seals, gaskets, and valve operations. Assessing hydraulic system performance through physical trials can be cumbersome, resulting in longer development times and increased costs. To address this, a methodology was developed in a virtual environment to evaluate hydraulic system performance. The virtual method outlined in this paper is created in a 1D environment using a simulation methodology to replicate the transient behavior of the dynamic system. The hydraulic system primarily includes a relief valve, solenoid valves, a pump, and a clutch. An analytical model was developed for the hydraulic system components with appropriate fidelity to accurately replicate the transient behavior and magnitudes of pressure spikes. This
Memane, NileshKumar, SuneelVeerkar, Vikrant
To provide growing needs of food, clothing and infrastructure for growing population of the world, off-highway vehicles such as those in construction, agriculture and commercial landscaping are moving towards electrification for enhanced precision, productivity, efficiency and sustainability. It has also paved a way to adopt autonomy of these vehicles to address challenges like skilled labor shortage for timely and efficient execution. Despite the tremendous advantages of electrification, be it through completely replacing engines in vehicles or efficiency improvements using hybrid architecture for powertrain and auxiliary power demands, safety remains a significant challenge and critical requirement for off-highway electric vehicles. This paper explains the concept and importance of functional safety in electric off-highway vehicles, and shows how different standards like ISO 26262, ISO 25119, ISO 13849 can be utilized to achieve state of the art in functional safety for different off
Mujumdar, Chaitanya GajananBachhav, KiranDeshpande, Chinmay
The electrification of off-highway vehicles presents a complex landscape of challenges, particularly in the realm of cost engineering for motors. These challenges stem from technological complexities, use of specialty materials and processes, economics of scale, and operational factors, each requiring careful consideration to ensure accurate and efficient cost modeling. The lack of standardized cost data for specialty materials poses a significant barrier to accurate cost engineering. Furthermore, the cost of key materials and components, such as electrical steel and permanent magnets, can fluctuate due to supply chain disruptions, material shortages, introducing uncertainty into cost projections. The economies of scale play a crucial role in cost engineering for off-highway electrification. Many off-highway vehicles are produced in lower volumes compared to on-road vehicles, which can result in higher unit costs for electric motors and other. In this paper, we delve into the primary
Chauhan, ShivPadalkar, Bhaskar
The increasing complexity of autonomous off-highway vehicles, particularly in mining, demands robust safety assurance for Electronic/Electrical (E/E) systems. This paper presents an integrated framework combining Functional Safety (FuSa) and Safety of the Intended Functionality (SOTIF) to address risks in autonomous haulage systems. FuSa, based on ISO 19014[1] and IEC 61508[2], mitigates hazards from system failures, while SOTIF, adapted from ISO 21448[3] addresses functional insufficiency and misuse in complex operational environments. We propose a comprehensive verification and validation (V&V) strategy that identifies hazardous scenarios, quantifies risks, and ensures acceptable safety levels. By tailoring automotive SOTIF standards to off-highway applications, this approach enhances safety for autonomous vehicles in unstructured, high-risk settings, providing a foundation for future industry standards.
Kumar, AmrendraBagalwadi, Saurabh
The reliability and durability of off-highway vehicles are crucial for industries like construction, mining, and agriculture. Failures in such machines not only disrupt operations but can also lead to significant economic losses and safety concerns. Effective failure and warranty analysis processes are essential to improve customer support, minimize downtime, and enhance equipment life cycle. This paper outlines a comprehensive 7-step failure analysis methodology tailored for off-highway vehicles, accompanied by warranty analysis using Weibull, 6MIS, and 12MIS IPTV. It details the process from problem identification through permanent solution implementation, emphasizing tools and techniques necessary for sustainable improvements. The structured approach provides an actionable blueprint for OEMs and service teams to enhance customer satisfaction, support sustainable development goals, and maintain regulatory compliance.
Mulla, TosifThakur, AnilTripathi, Ashish
The evolution of Autonomous off-highway vehicles (OHVs) has transformed mining, construction, and agriculture industries by significantly improving efficiency and safety. These vehicles operate in high dust, uneven terrain, and potential communication failures, where safety is challenged. To guarantee vehicle safety in such situations, a robust architecture that combines AI-driven perception, fail-safe mechanisms, and conformance to many ISO standards is required. In unstructured environments, AI-driven perception, decision-making, and fail-safe mechanisms are not fully addressed by traditional safety standards like ISO26262 (road vehicles), ISO19014 (earth-moving machinery and it is replacing withdrawn ISO 15998), ISO12100 (Safety of machinery) and ISO25119 (agriculture), ISO 18497 (safety of highly automated agricultural machinery), and ISO/CD 24882 (cybersecurity for machinery).These standards mainly concentrate on the reliability of mechanical and electric/electronic systems
Muthusamy, Sugantha
Off-Highway Vehicles (OHVs) — including mining trucks, construction machinery, and agricultural equipment — contribute significantly to greenhouse gas (GHG) emissions and local air pollutants due to their dependence on fossil diesel. Achieving sustainable development goals in off-highway sectors requires transitioning toward alternate fuels that can reduce CO₂, NOₓ, and particulate matter (PM) emissions while maintaining performance and reliability. This paper comprehensively evaluates alternate fuels such as biodiesel, renewable diesel, compressed and liquefied natural gas (CNG/LNG), liquefied petroleum gas (LPG), hydrogen, and alcohol-based blends. Using insights from Service Bulletins, fuel standards, and the Worldwide Fuel Charter, it discusses fuel properties, engine compatibility, operational challenges, sustainability impacts, economic feasibility, safety considerations, and regulatory aspects. Case studies of alternate fuel deployment in OHVs illustrate practical challenges and
Mulla, TosifThakur, AnilTripathi, Ashish
Large off-highway vehicles, such as combine harvesters, corn heads, and hinged drapers, are complex machines comprised of multiple interacting subsystems. Consequently, capturing the load path through full vehicle finite element modeling poses significant challenges and can be computationally intensive during the design development process. We primarily employ two structural analysis approaches based on the availability of load inputs: Full Frame Finite Element Model Setup Subsystem Finite Element Model Setup Just like virtual verification, physical verification can also be performed at both the full vehicle and subsystem levels. The most critical input for both physical and virtual structural verification is load data. Traditionally, we acquire structural loads induced by ground excitations using wheel force transducers. For subsystem finite element models, interface loads are essential, which often necessitate custom load transducers during data collection. However, instrumenting
Zalte, Swapnil SureshS Kulkarni, PrasadGupta, ShikhaAundhe, AbhijeetDarade, Shubham
The first step in designing or analyzing any structure is to understand “right” set of loads. Typically, off-road vehicles have many access doors for service or getting into cab etc. Design of these doors and their latches involve a knowledge of the loads arising when the door is shut which usually involves an impact of varying magnitudes. In scenarios of these impact events, where there is sudden change of velocity within few milliseconds, produces high magnitude of loads on structures. One common way of estimating these loads using hand calculations involves evaluating the rate-of-change-of-momentum. However, this calculation needs “duration of impact”, and it is seldom known/difficult to estimate. Failing to capture duration of impact event will change load magnitudes drastically, e.g. load gets doubled if time-of-impact gets reduced from 0.2 to 0.1 seconds and subsequently fatigue life of the components in “Door-closing-event” gets reduce by ~7 times. For these problems, structures
Valkunde, SangramGhate, AmitGagare, Kiran
The average product development cycle spans 3-5 years, involving extensive virtual and physical testing of the machine. Advances in simulation tools have significantly enhanced our ability to identify product solutions early in the design phase. Tools like 1D KULI and Creo Flow Analysis (CFA) offer faster solutions in less time, thereby accelerating the product development cycle. Cooling systems are crucial components of off-highway tractor machines, directly affecting engine efficiency and overall machine functionality. An optimized cooling system ensures the engine operates within safe temperature ranges, preventing overheating and potential damage. Thus, designing an effective cooling system is a vital aspect of machine engineering. 3D Computational Fluid Dynamics (CFD) simulations are essential for evaluating cooling system performance. These high-fidelity simulations provide detailed insights into fluid flow and heat transfer, enabling engineers to predict and enhance cooling
Ukey, SnehalTirumala, BhaskarNukala, Ramakrishna
Off-highway vehicles (OHVs) are vital for India’s construction, mining, agriculture, and infrastructure sectors. With growing demand for productivity and sustainability, the need for efficient customer support and precise diagnostic techniques has become paramount. This paper presents a comprehensive study of challenges faced in India, current and emerging diagnostic technologies, troubleshooting techniques, and strategies for effective customer support. Case studies, tables, and diagrams illustrate practical solutions.
Mulla, TosifThakur, AnilTripathi, Ashish
Off Highway vehicles recreation has rapidly expanded across the globe hence it is important to consider the safety of off-highway vehicles which is significantly influenced by various environmental factors, which can pose unique challenges and risks. it is important to make sure that the entire vehicle operates safely and reliably even in the toughest conditions. This paper investigates the impact of environmental conditions on the safety and performance of off-highway vehicles, such as construction equipment, agricultural machinery, and mining vehicles. By examining factors such as terrain, weather conditions, visibility, and natural obstacles, the study aims to identify key hazards and propose strategies to mitigate them. The paper explores how advanced technologies, including digital twins and predictive analytics, can be leveraged to enhance safety measures and improve vehicle resilience in diverse environmental settings. Through comprehensive case studies and empirical data, we
Mogal, MasthanvaliChennamalla, Chandra Shekar
This paper studies an important industrial controls engineering problem statement on mitigating vibrations in a mechanical boom structure for an off-highway agricultural vehicle. The work discusses the implementation of an active force control concept to efficiently dampen out vibrations in a boom. Through rigorous simulation comparison with respect to an existing PID mechanism, the efficacy of the AFC is demonstrated. A notable reduction of 60 % to 70 % in the boom vibrations was observed.
Patil, BhagyeshBawankar, Shubham
To ensure the effective operation of engine cooling systems in agricultural tractors, several critical parameters must be considered, including grille opening area and location, grille resistance, front-end blockage, fan speed, and coolant flow rate. While grille design has been moderately explored for highway vehicles, research specific to grille configuration in agricultural tractors remains limited. This study investigates the influence of grille location, grille resistance (modeled using porous inertial and viscous resistance coefficients) front-end blockage, fan speed, and coolant flow rate on radiator top tank temperature (TTT) using Computational Fluid Dynamics (CFD). The analysis is conducted in two phases: first, the effects of grille opening area and location, grille resistance, and front-end blockage are evaluated under fixed fan speed and coolant flow rate; second, an orthogonal array design of experiments is employed to rank the influence of grille opening area, fan speed
Subramani, SridharanBaskar, SubramaniyanGopinathan, Nagarajan
The operator station or “cab” in off Highway equipment plays a critical role to provide a comfortable workspace for the operator. The cab interfaces with several elements of the off-highway equipment which can create gaps and openings. These openings have the potential for acoustic energy leakage, ultimately increasing sound within the cab. During machine operation, noise generated around the cab conducts inside through these leakages resulting in increased sound levels. Acoustic leakages are among the key noise transfer paths responsible for noise inside the cab. Therefore, before considering noise control treatments it is best to first identify and minimize any leakages from joints, corners, and pass-throughs to achieve the required cab noise reduction. In this effort the sound intensity technique is used to detect the acoustic leakages in cab. The commercial test system is used for measuring the sound intensity field over objects. For the cab, an acoustic source is used inside the
Pawar, Sachin M.Mandke, DevendraFapal, AnandCone, Kerry
Electrification applications are increasingly moving towards higher voltage systems to enable greater power delivery and faster battery charging. This trend is particularly evident in the shift from 400V to 800V systems, which offers several benefits and poses unique technical challenges. Higher voltage systems reduce current flow, minimizing energy losses, and improving overall efficiency. This is crucial for applications like electric vehicles and off-highway machinery, where efficient power management is essential. One of the primary benefits of increasing the DC link voltage beyond the 400V is the ability to support higher power levels. Additionally, higher voltage systems can reduce the size and weight of power components, contributing to more compact and lightweight designs. However, transitioning to 800V systems introduces several technical challenges in power electronics design. Key components such as power components (IGBT, MOSFET etc.) must be optimized to handle higher
Hatkar, Chetan ManoharPipaliya, Akash
Off-highway vehicles (OHVs) routinely navigate unstable and varied terrains—mud, sand, loose gravel, or uneven rock beds—causing increased rolling resistance, reduced traction, and high energy expenditure. Traditional rigid chassis systems lack the flexibility to adapt dynamically to changing surface conditions, leading to inefficiencies in vehicle stability, maneuverability, and fuel economy. This paper proposes an adaptive terrain morphing chassis (ATMC) that can actively modify its structural geometry in real-time using embedded sensors, hydraulic actuators, and soft robotic elements. Drawing inspiration from nature and recent advances in adaptive materials, the ATMC adjusts vehicle ground clearance, track width, and load distribution in response to terrain profile data, thereby optimizing fuel efficiency and performance. Key contributions include: A multi-sensor fusion system for real-time terrain classification Hydraulic actuators and morphing polymers for variable chassis
Vashisht, Shruti
Identification of different types of turns during field operation of off-road vehicles is critical in the overall vehicle development as it is helpful in identifying & optimizing machine performance, correct duty cycle, fuel economy, stability analysis, accurate path planning, customer usage pattern & designing the critical components, etc. In this study, a machine learning (ML) based methodology has been developed to detect the off-road vehicle turns using vehicle & GPS parameters. Three most common types of off-road vehicles turn conditions e.g., Straight line, Bulb turn, and Three-Point turn have been considered. Different vehicle parameters (like latitude & longitude, compass bearing, yaw rate, vehicle speed, swash plate angle, engine speed, percent load at vehicle speed, raise lower front & PTO channels) generated during field test have been used here. These vehicle parameters are further processed, analysed and used in ML learning model building. Four ML models e.g., SVM, K-NN
Rai, RohitGangsar, Purushottam
A road simulator reproduction method was developed to reproduce the off-road conditions of utility vehicles in a laboratory setting. Off-road running behavior can be reproduced by considering the effects of inertial forces from jump landings owing to uneven terrain and slow-speed navigation. However, extremely low-frequency components and behaviors, including inertial forces from jumps, vehicle acceleration and deceleration, are difficult to reproduce with a normal road simulator in the limited test space of a laboratory. Therefore, it is common practice to intentionally remove input components below 1 Hz. Alternatively, inertial forces can be reproduced by adding a restraining device to the sprung mass of the vehicle along the wheel-axle inputs. Therefore, the former method excludes extremely low-frequency components, whereas the effects between actuators, which increase the test complexity and time required, should be canceled in the latter method. Furthermore, the restraining device
Miyasaka, TakahiroShimizu, Ryota
Noise generated by a vehicle’s HVAC (Heating, Ventilation, and Air Conditioning) system can significantly affect passenger comfort and the overall driving experience. One of the main causes of this noise is resonance, which happens when the operating speed of rotating parts, such as fans or compressors, matches the natural frequency of the ducts or housing. This leads to unwanted noise inside the cabin. A Campbell diagram provides a systematic approach to identifying and analyzing resonance issues. By plotting natural frequencies of system components against their operating speeds, Test engineers can determine the specific points where resonance occurs. Once these points are known, design changes can be made to avoid them—for example, adjusting the blower speed, modifying duct stiffness, or adding damping materials such as foam. In our study, resonance was observed in the HVAC duct at a specific blower speed on the Campbell diagram. To address this, we opted to optimize the duct design
Trivedi, ArpitaKumar, RaviMadaan, AshishShrivastava, Pawan
In the commercial and off-highway vehicle industry, the transition from internal combustion engines to hybrid and electric alternatives is underway. In 2024, sales of electrified trucks reached more than 97,000, while buses notched 72,000 sales, according to the International Energy Agency (IEA). Estimates for 2025 suggest these numbers will be even greater.
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