Side impact crashes account for approximately twenty-six percent of all motor vehicle fatal crashes, second only to frontal crashes, according to a report by the National Highway Transportation and Safety Administration (NHTSA). While car companies and suppliers continue to develop new technologies that make vehicles safer, NHTSA rolled out updated safety regulations (FMVSS 214) based on new research studies, making vehicle safety design more and more complex. This seminar is designed to familiarize participants with the engineering principles behind vehicle and restraint designs for occupant safety.
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.
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.
Internal combustion (IC) engines have been serving as prime source of power in tractors, since late 19th Century. Over this period, there have been significant improvements in IC engine technology leading to increased power density, reduction in tailpipe emissions and refinement in powertrain noise of tractors. As the regulations governing tailpipe emissions continue to be more stringent, original equipment manufacturers also have initiated work on innovative approaches such as diesel-electric hybrid powertrains to ensure compliance with new norms. However, introduction of such technologies may impact customer’s auditory, vibratory and drivability perceptions. Absence of conventional IC engine noise, association of electric whistle and whine, torque changes with activation/de-activation of motors and transmission behavior under transient conditions may result in new NVH issues in hybrid electric vehicles.
The automobile industry is moving towards electrification of Vehicle to remove the exhaust gas emissions. A project was undertaken to develop Electric Vehicle control system from concept to vehicle trials in less than a year. The complete development cycle of an electronic controller required to be compressed to prepare mule electric vehicle within timeline. Agile methodology has been used for this project instead of waterfall as other control systems were in developing stage; system requirements were changing frequently. This paper presents the electric vehicle control unit development with agile methodology using model based development (MBD) in MATLAB and Simulink environment. The project flow consists of major phases like design of electrical architecture, system requirements specification, selection and setting up the simulation platform, EVCU strategy development, testing on Model in Loop (MIL)/ Hardware in Loop (HIL), vehicle trials.
Tyre Traction Trailer is a device designed to find the Peak Brake co-efficient of C2 and C3 tyre as per ECE R117. The trailer is towed by the truck and is braked suddenly to evaluate braking co-efficient of specimen tyre. It is a single wheel trailer equipped with load cell to capture tire loads (Normal and longitudinal)while braking. Traction Trailer is modelled in MSC Adams and rigid body simulation is carried out for static stability of the system. Dynamic simulations were performed to understand locking of wheels during braking. Body frame was further modelled as flex body to perform structural analysis of the frame. The paper contains stress and deformation plots of trailer Structure under various loading conditions, change in Centre of gravity, weight transfer and forces on springs during braking and cornering, plots of tractive and normal load on tyre during braking.
Nowadays the sonar system is used to avoid accidents, which is not effective in case of high-speed at blind turn situation or through side crossing in high ways. That's because vehicle position is not along the line and speed is very high so sonar will not detect danger within avoidable time limits. it seems we need to develop some fast enough system to avoid these type of accidents.
To achieve accuracy in model development with large scale customer actual data in low cost and limited time usage of telematics system was adopted. Honda’s OBD II diagnostic connecting device Honda Connect was used as transceiver for this telematics system which was used as an accessory in Honda vehicles. Data collected with this device with large sample size and regional diversity across India was used in product development for Honda System. Control system development for BSVI vehicles, Idle start stop hardware specificaton selection and Battery electric vehicle target range study was done with Honda Connect Data.
Several people die every year due to vehicle accidents. Federal Motor Vehicle Safety Standards (FMVSS) are U.S. federal regulations stating design, structure, performance, and durability necessities for vehicles. The objective of a crash test for FMVSS No. 208 is to measure how well a passenger vehicle would protect its occupants in the event of a frontal crash. FMVSS 208 consists of series of tests including different impact surface type as well as occupant sizes. It also covers the belted and unbelted occupant behavior at the time of front impact. Each test scenario has different ways to injure the occupant. Airbags are the part of passive safety equipment family in any automobile and play an imperative role to reduce the occupant head and chest injuries at the time of crash or accidents. This study covers the evaluation of airbag performance in all FMVSS 208 load cases using validated Finite Element Methodology (FEM).
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.
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.
The seat belt system is one of most imperative component of the safety instrument family in a vehicle. The main purpose of seat belt is to minimize the injuries by preventing the occupant from impacting hard interior parts of the vehicle and also the passenger from being thrown-out from the vehicle in case of rollover accidents. The standard three-point belts, mounted to the vehicle in three places, namely anchor, D ring and buckle. The position of D ring is very important to distribute the impact load evenly to the occupants. Very high load in any of these locations could cause breakage of the mountings and also concentrated loading on the occupant chest of pelvis. This study mainly focuses on the seatbelt assembly performance improvement against ECE-R16 sled test. The sled test was carried out first using 28g peak acceleration pulse and measurement of forces at shoulder and anchor position was measured using the load cell.
In this paper, we will detect and track vehicles on a video stream and count those going through a defined line and to ultimately give an idea of what the real-time on street situation is across the road network. Our major objective is to optimize the delay in transit of vehicles in odd hours of the day. It uses YOLO object detection technique to detect objects on each of the video frames And SORT (Simple Online and Realtime Tracking algorithm) to track those objects over different frames. Once the objects are detected and tracked over different frames a simple mathematical calculation is applied to count the intersections between the vehicles previous and current frame positions with a defined line. At present, the traffic control systems in India, lack intelligence and act as an open-loop control system, with no feedback or sensing network. Present technologies use Inductive loops and sensors to detect the number of vehicles passing by.
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.
One of the most important safety critical components on cars, trucks, and aircraft is the pneumatic tire. Vehicle tires primarily control stopping distances on wet and dry roads or runways and strongly influence over-steer/under-steer behavior in handling maneuvers of cars and trucks. The inflated tire-wheel assembly also acts as a pressure vessel that releases a large amount of energy when catastrophically deflated. The tire can also serve as a fulcrum, both directly and indirectly, in contributing to vehicle rollover. This seminar covers these facets of tire safety phenomena.
This class will provide the student with the skills, knowledge, and abilities to interpret, analyze and apply Heavy Vehicle Event Data Recorder (HVEDR) data in real world applications. This course has been designed to build on the concepts presented in the SAE course Accessing and Interpreting Heavy Vehicle Event Data Recorders (ID# C1022).
Increased public pressure to improve commercial truck safety and new stopping distance regulations have intensified the need to better understand the factors influencing heavy vehicle braking performance. To assist individuals and their organizations in preparing for these new truck braking standards, this seminar focuses attendees on understanding medium-duty hydraulic brake systems and heavy-duty air brake systems and how both systems' performance can be predicted, maintained and optimized.