In commercial Vehicles industry, customer demands the vehicle with higher payload capacity. In order to achieve the higher payload, the vehicle weight must be reduced. Role of CAE (Computer Aided Engineering) team in the above objective is to provide optimized solution for the currently available designs. There are many capable softwares available in the market for the optimization. But performing optimization on the basis of static or dynamic analysis involves a little risk of design losing the strength. In our organization, we have developed a method, which will eliminate the risk of lower strength of the component. In this method, modified design from the optimization analysis has to undergo the fatigue analysis repetitively until it qualifies both the criteria of optimized design & adequate fatigue strength. In the above process fatigue analysis is time consuming process. To reduce the time taken by fatigue analysis, we are using the frequency based vibration fatigue method.
The front of a car, though susceptible to the biggest impacts in terms of magnitude, has space and additional reinforcement to incorporate various safety measures. The rear has considerable amount of space to contain a proper crash box. The side of the car, though, doesn’t have this flexibility in design, the main limiting parameter being space. Any intrusion into the passenger cabin can result in serious injury or even death. The objective of this work is to improve the crashworthiness of a vehicle’s side so as to reduce intrusion into the passenger cabin. The work is focused on optimizing the door and B pillar. The optimized side panel is compared with the baseline model as per standard. ANSYS solver is used for the simulation. The optimized design applied to the door and B pillar will significantly improve crashworthiness of the vehicle side panel as a whole.
Bus passenger safety has always been a concern considering various impacts like side impact, front impact, rollover etc. happening in real life scenarios. Various standards have been formulated for simulating these conditions and with respect to rollover, standards like ECE-R66 are being used to understand the superstructure strength. In India, we have AIS-052 (bus body code) and AIS-031 specific for bus rollover testing. AIS-119 has been published for rollover testing of sleeper coaches with modifications in the survival space creation in sleeper coaches for berths. With physical testing being more expensive, CAE simulations are being considered as vital option which also helps in design modification in a lesser time. This paper discusses the scope of numerical simulation of sleeper coach rollover using an explicit dynamic solver RADIOSS to understand the structure deformations, survival space clearances/intrusions.
Automation is expanding in every possible direction and it was only time before it reached the Automobile sector. There has been tremendous traction towards autonomous cars since last 2-3 yrs as a probable solution to reduce accidents and promote safe and comfortable commute. Many companies have expressed their interest in developing some part(s) of it and when would all of this culminate resulting in a fully autonomous car. But as every coin has two aspects so same does automation. This paper covers the future of autonomous cars from Indian perspective, covering possible challenges, complex use cases, advantages, technology enablers, economy outlook etc. India has the dubious honor of ranking first in road deaths in the world at present & accounts for 10 percent of global road accidents with more than 1.46 lakh fatalities annually.
A novel approach on range prediction of a hydrogen fuel cell electric truck C.Venkatesh - Manager - Product Development, Sustainable Mobility & Advanced Technologies Abstract: A novel approach on range prediction of a hydrogen fuel cell electric vehicle Abstract: Today's growing commercial vehicle population creates a demand for fossil fuel surplus requirement and develops highly polluted urban cities in the world. Hence addressing both factors are very much essential. Battery electric vehicles are with limited vehicle range and higher charging time. So it is not suitable for the long-haul application. Hence the hydrogen fuel cell based electric vehicles are the future of the commercial electric vehicle to achieve long range, zero emission and alternate for reducing fossil fuels requirement. The hydrogen fuel-cell electric vehicle range, it means the total distance covered by the vehicle in a single filling of hydrogen into the onboard cylinders.
An analysis of the Fuel Cell Pack with different Drive cycles Abstract: In the view of the Environmental friendly future, every automotive manufacturer is making a move towards electric mobility. Zero emission can be achieved with the help of electric vehicles. However, there are some limitations too. Battery electric vehicle (BEV) gives a limited range in the vehicles and even their market penetration is difficult because of their energy storage capability. A fuel cell unit can be added to the system, which increases the range and the energy capacity of the system. Hydrogen fuel cell electric vehicle (FCEV) system is faster to refill compared to plugin charging in the Battery electric vehicle (BEV). This study deals with the behavioural analysis of the Polymer Electrolyte Membrane (PEM) Fuel cell based on the different drive cycles. Fuel cell model has been developed and simulated in the SIMULINK environment. Simulation results were obtained for the different drive cycles.
MASS OPTIMIZED HOOD DESIGN FOR CONFLICTING PERFORMANCES Santosh Swamy, Gulshan Noorsumar, Shivakumar Chidanandappa General Motors Technical Center, India Keywords Hood; Head Injury Criterion (HIC); Stiffness; Shape optimization; Multi-Disciplinary Optimization (MDO) Research and/or Engineering Questions/ Objective The objective of this work is to obtain a light weight hood which has least possible mass, and at the same time meets all contradicting performances of pedpro (pedestrian protection) and structural stiffness disciplines. Passenger vehicles have stringent safety norms from pedpro perspective to meet child and adult head injury criteria (HIC). These pedestrian safety requirements often conflict with structural stiffness performance criteria which pose a challenge for most automotive OEMs. Therefore, there is a growing need for mass optimization and performance balancing to meet both the requirements simultaneously.
Head injuries are the main source of road fatalities in when a pedestrian is involved in an accident with the vehicle. The frontal part of vehicle such as engine hood, lower-windshield area and A-pillars are the possible location of head impact in such accidents. The head impact with hard points located in these areas result in the fatal head injuries. The effect of impact can be reduced by using the deployable pedestrian protection systems (DPPS) such as hood-lifters and windshield airbag in the vehicle. The study shows how these systems are effective in reducing the fatalities in pedestrian accidents and how to evaluate the performance of these deployable systems.
While advanced automotive system assemblies contribute greater value to automotive safety, reliability, emission/noise performance and comfort, they are also generating higher temperatures that can reduce the functionality and reliability of thesystem over time. Thermal management and insulation are extremely important and highly demanding in BSVI, RDE and Non-IC engine operating vehicles. Passenger vehicle and Commercial vehicle exhaust systems are facing multiple challenges such as packaging constraints, weight reduction andthermalmanagement requirements.Frugal engineering is mandatory to develop heat shield in the exhaust system with minimum heat loss. The focus of the paper is to design, develop and validate heat shield products with different variables such as design gap, insulation material, sheet metal thickness and manufacturing processes. 1D and 3D computational simulations are performed with different gaps from 3 mm to 14 mm are considered.
A DIGITALIZED VALIDATION APPROACH FOR REAL TIME AND REMOTE MONITORING OF AN OFF-HIGHWAY VEHICLE PERFORMANCE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- V.JAGANNATHAN@mahindra.com Validation of agricultural tractors is necessary to ensure that these machines perform to their expected potential and are aptly matched with implements. Testing these machineries in real-time while performing activities in the field allows a bigger picture to be seen; the performance data incorporates the effects of many external factors (Soil, Climate etc.). Tractor Performance data apprehending is the vital part of validation. Data acquisition of key performance parameters during field validation in different application/different countries is of utmost importance.
Sleeper buses are increasingly used as connectivity between cities and remote areas with sleeping comfort for passengers. During the normal operation, the bus body is subjected to several loads, external loads from the road (i.e. crossing over a speed bump, breaking & cornering). Moreover, there is a substantial possibility that these loads may lead to a structural failure. Hence, it is necessary to determine stresses occurred in the bus body to ensure its integrity under these driving scenarios. During the accident, rollover/front/rear/side impact, energy absorbing capacity of bus body structure is crucial for safety of passengers. The objective of this study is to reduce weight of bus structure while maintaining cost & safety as constraint. 3D Model prepared in NX and finite element model created in hypermesh ,LS-dyna/optistruct used as solver and post processing done in hyperview. In this study, fully loaded bus with passengers as well as maximum language mass, considered.
Road and Engine borne noise are the most prominent sources of noise in any commercial vehicle. With advancement in technology and encouraging prospects in hybrid & electric vehicles, road noise can be set aside as the single most dominant source for vehicular NVH problems. In this paper, a full vehicle model is considered for complete NVH simulation with two acoustic and two structural response points. Random road excitations are applied at various vehicle speeds to determine the response characteristics. An elaborate study is conducted to understand the effects of vehicle speed and road conditions on the vehicle. An attempt is also successfully made to diagnose the effects of road excitations on the system behaviour by considering the suitable transfer functions. The methodology can be readily extended to any type of vehicle and speed as the excitations are independent of these parameters.
Future hybrid vehicles with advanced 48V electrified drive train technology to reduce CO2 emission. Chandrakant Palve* Pushkaraj Tilak * * Mercedes-Benz Research & Development India Pvt. Ltd. Bangalore. India. Key Words: 48V, CO2, P3 Hybrid, Electrified powertrain, AMT, emission, shift comfort, motor Research and/or Engineering Questions/Objective Global automotive industry is putting effort in moving from conventional powertrain technology to hybrid & electric powertrains. This efforts plays a vital role to achieve cleaner environment, improved performance, reduced fossil-fuel dependency, low noise for meeting regulatory & customer requirements. Automotive industry is facing a challenge of meeting stringent CO2 emission targets of 95g & 175g per kilometer for passenger cars & light commercial vehicles respectively. 48V is an important stepping stone in this direction.
Electric mobility is the future of tomorrows transport both in the public and private sector. One of the major challenges / issues faced by the electric vehicles is increased time duration of charging. Research classifies Electric Vehicle Charging into level 1, 2, 3 & DC fast charging. Slowest mode being level 1 which needs 120V / 15A, while Level 3 and fast DC charging are faster modes where in less time duration are required for battery charging. In this research a model of solar charging station was analysed for the Indian condition. Analysis indicate that Level 3 and fast DC charging are preferred where in commercial vehicles whereas Level one and 2 are suitable for vehicles that are used for limited periods. An analysis of solar energy as a source of power to charging stations is also made.
Downsizing is one of the crucial activities being performed by every automotive engineering organization. The main aim is to reduce – Weight, CO2 emissions and achieve cost benefit. All this is done without any compromise on performance requirement or rather with optimization of system performance. This paper evaluate one such optimization, where-in radiator assembly with two electric fan is targeted for downsizing for small commercial vehicle application. The present two fan radiator is redesigned with thinner core and use of single fan motor assembly. The performance of the heat exchanger is tested for similar conditions back to back on vehicle and optimized to get the balanced benefit in terms of weight, cooling performance and importantly cost. This all is done without any modification in vehicle interface components except electrical connector for fan. The side members and brackets design is also simplified to achieve maximum weight reduction.
Objective This paper explores the usage of Altair simulation driven optimisation process, Front Suspension hard points of a sedan Car model are optimised for specific target toe curves using MotionView, MotionSolve and HyperStudy This process gives the optimal hard point values to match the target curves without much iterations. Methodology Parametric Multibody model of the front end of sedan is built in MotionView. To Carry out optimisation HyperStudy is used where few of the suspension hard points which affect the toe curves are chosen as design variable. For the chosen Design variables upper and lower bound limits are specified. Ride, Roll and lateral force tests are performed. Optimisation is performed using HyperStudy where it iterates the suspension hard points to match the target toe curves. Each iteration response can be visualized in HyperStudy and can be compared with the target toe curve.
In the current commercial vehicles market, ride-comfort and handling are crucial parameters for the customer and end user. There are various aspects which determine the vehicle behaviour. One of aspects is the structural rigidity of the vehicle, which has its own effect on vehicle dynamics. To meet the required stiffness of the main structural component of the vehicle i.e. chassis frame, FEA analysis has to be done in current methodology. The number of iterations have to be done to build an appropriate model with low weight, which can meet the design requirements. At first, conceptual design mock-up unit is to be developed then FEA (CAE) analysis to be done on it. If any design criteria are not met, then this cycle repeats again until it fulfils the required stiffness. Today, the direct stiffness procedure is the basic principle of almost every FEA software package.
Ride Comfort forms a core design aspect for suspension and is to be considered as primary requirement for vehicle performance in terms of drivability and uptime of passenger. Maintaining a balance between ride comfort and handling poses a major challenge to finalize the suspension specifications. The objective of this project it to perform ride- comfort analysis for a commercial truck using MATLAB Simulink. First, benchmarking was carried out on a 4x2 commercial truck and the physical parameters were obtained. Further, a mathematical model is developed using MATLAB Simulink R2015a and acceleration- time data is collected. An experimentation was carried out on the truck at speeds of 20 kmph, 30 kmph, 40 kmph and 50 kmph over a single hump to obtain actual acceleration time domain data. The model is then correlated with actual test over a single hump. This is followed by running the vehicle on Class A, B & C road profiles to account for random vibrations.