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.
Commercial motorcycles and scooters incorporate independent circuits for front and rear brake actuation, thus precluding load dependent brake force distribution. In all cases of manual brake force modulation between the front and rear wheels, there is poor compensation for the changes in wheel loads on the account of longitudinal weight transfer, thus making it is challenging to provide an adequate braking force to each wheel. The ratio in which the braking force should be distributed between the front and the rear wheels is dependent on the motorcycle geometry, weight distribution, mechanical sizing of braking system components, and is a variable based on the deceleration. This connotes that a fixed value of front and rear braking forces can be optimized for only a narrow range of motorcycle’s deceleration. Maximum braking performance occurs just prior to wheel lockup, as a sliding tire provides less grip than a rolling tire.
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.
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.
In the fourth-generation model of the 2018 PCX, the basic structure of frame was reviewed to make it lighter and rigid. Weight reduction was also adapted to its wheels. These enhancements contributed to its increased dynamic performances. The engine performances were enhanced as well, and all these features made it possible to provide a high-quality riding with composure of rider’s mind. In addition, we developed hybrid model PCX HYBRID that uses an ACG starter directly connected to a crankshaft as a drive assist system and realized pleasurable ride feeling with a more direct drive response.
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.
Objective: The Objective of the research is to detect drop in level of pressure in the wheel with respect to nominal pressure using data obtained from speed sensors. The research discusses the standard procedure of experimentation to obtain data which eventually used to produce results. This procedure is taken from principles Design of Experiments. Statistical tools are used to analyze and give determining factors for pressure variation. Methodology: To study idea, we made use of two-wheeler platform and collected data of wheel speed sensors on both wheels. The idea is when there is any change in tire pressure the radius of the wheel also changes and usually this relation is direct. Hence, change in tire pressure changes the angular velocity of the wheel. In this approach wheel speed sensors are used to measure the angular speed for standard and reduced pressure conditions.
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.
Role of Wheel and underbody Aerodynamics of vehicle in the formation of drag forces is detrimental to the fuel (energy) consumption during the course of operation at high velocities. This paper deals with the CFD simulation of the flow around the wheels of a bus with different wheel housing arrangements. Based on benchmarking, a model of a bus is selected and analysis is performed. The aerodynamic drag coefficient is obtained and turbulence around wheels is observed using ANSYS Fluent CFD simulation for different combinations of wheel-housing- at the front wheels, at the rear wheels and both in the front and rear wheels. The drag force is recorded and corresponding influence on energy consumption of a Bus is evaluated mathematically. A comparison is drawn between energy consumption of bus body without wheel housing and bus body with wheel housing. The result shows a significant reduction in drag coefficient and fuel consumption.
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.