The ability to write concise and unambiguous reports, proposals, manuals, or other technical documents is a key skill for any high-functioning engineer or technical staff person in the mobility industries. Through a combination of class discussions, interactive workshop activities, assignments, checker teams (review teams) and job aids, this course delivers real-life technical writing techniques and tools that can be immediately applied. Attendees discover the importance of knowing their audiences and how to communicate technical information in a "user-friendly" style.
As Battery cost is expected to see a Downward trend, Electrification of Powertrain in general is expected to pick up and 2wheeler Market is foreseen to be the Flag bearer in this race towards Electrification. In this paper, we would like to emphasize on the Journey of 2wheelers from Conventional Internal combustion Engine to Electrified Powertrains which we foresee in the future. Methodology: EV - Analysis of OEM strategies and upcoming trends in connectivity and electrification. Estimation of current market size of 2Wheeler and segmentation based on different personas. Building survey data based personas around ownership patterns for electric 2Wheelers. Mapping consumer decision process for electric 2Wheelers. Analyse the decision influencers and role of influencers in decision making process. Hybrid - Analysis of different hybrid topologies. Feasibility study via simulation and focus group assessments to evaluate the design. PoC will also be tried to validate the concept.
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.
Shared Mobility is changing the trends in Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal.
Electrical release machining (EDM), is a material removal procedure whereby a coveted shape is acquired by utilizing electrical releases (sparks). Material is expelled from the work piece by a progression of quickly repeating current releases between cathode and anode, isolated by a dielectric fluid and subject to an electric voltage. At the point when the voltage between the two terminals is expanded, the power of the electric field in the volume between the anodes winds up more prominent than the quality of the dielectric (in any event in a few spots), which separates, enabling current to stream between the two cathodes. This wonder is the equivalent as the breakdown of a capacitor (condenser). Accordingly, material is expelled from the cathodes.
The automotive industry is constantly trying to develop cost effective, high strength and lightweight components to meet the emission and safety norms while remaining competitive in the market. Forging process plays an important role to produce most of the structural components in a vehicle. Precision forging technology is used to produce components with little or no flash leading to elimination of machining process after forging. The load acting on the dies during net or near net forging is very high and leads to wear in the die. In order to have a good die it is important that die wear which is an inevitable phenomenon in a bulk metal forming processes is predicted mathematically. In this study a review on the vast number of studies done in the area of wear and various predictive models is carried out.
Abstract: Future of Mobility is mainly driven by 3 main pillar viz Connected , Electrified and Automated Driving. With advancement in Communication Technology supplemented by huge customer Base , Connectivity has proven to deliver better Services to the End-user. The next step in this journey would be to connect the so called “Things” and the Things that we want to connect is the 2 wheeler in the Mobility domain This paradigm shift in the Mobility Landscape is expected to bring plethora of opportunities on one side as well as new challenges that were never witnessed in the realm of Mobility in the Past. This paper focuses on Opportunities in terms of Location Based services, Vehicle Management, Data Analytics, Infotainment , and possible Business scenarios and Models as well as challenges in Terms of Security and Data Ownership Methodology: Analysis of OEM and Supplier strategies/approaches and upcoming trends in connectivity and electrification.
In recent times, there has been an enormous shift towards automation in Auto as well as Agriculture Industry. Farming is playing an important role in the survival of world. Currently, agricultural industry is facing several challenges. These challenges can be reduced or removed by using automation in the agricultural tools and techniques. Industry 4.0 is the industrial fourth revolution which focused on automations in manufacturing technologies such as cyber physical systems, Internet of Things, artificial intelligence and cloud and cognitive computing. The development and improvement of the connectivity between agricultural tools is leading to significant progress in the agricultural practices. Advancement and automation of the technologies with Internet of Things (IoT), replacing traditional agricultural methodologies which causes wide range of improvements in the fields.
In view of the depletion of energy and environmental pollution, dual fuel technology has caught the attention of researchers as a viable technology keeping in mind the increased availability of fuels like Compressed Natural Gas (CNG). It is an ecologically friendly technology due to lower PM and smoke emissions and retains the efficiency of diesel combustion. Generally, dual fuel technology has been prevalent for large engines like marine, locomotive and stationary engines. However, its use for automotive engines has been limited in the past due to constraints of the limited supply of alternative fuels. CNG is a practical fuel under dual-fuel mode operation, with varying degree of success. The induction method prevents a premixed natural gas-air mixture, minimizes the volumetric efficiency and results in a loss of power at higher speeds.
Nowadays, Road Load Simulators are used by automobile companies to reproduce the accurate and multi axial stresses in test parts to simulate the real loading conditions. The road conditions are simulated in lab by measuring the customer usage data by sensors like Wheel Force transducers, accelerometers, displacement sensors and strain gauges on the vehicle body and suspension parts. The acquired data is simulated in lab condition by generating ‘drive file’ using the response of the above mentioned sensors. For generation of proper drive file, not only good FRF but ensuring stability of inverse FRF is also essential. Stability of the inverse FRF depends upon the simulation channels used. In this paper, an experimental approach was applied for focused failure simulation of engine mount, one of such low correlation zone, with known history of failure.
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.
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.
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.
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.
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.