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.
In this paper we propose the snow mobility vehicle in order increase the mobility and decrease the risk of accidents for carry food and medicines on snow bounded areas using unmanned tracked vehicle called as snowmobii 2.0. Our unmanned tracked vehicle can transport Food/medicines as well as Defence in snow bounded areas. This unmanned robot can run in loose as well as hard snow due to it have specific featured technology in base wheel(track wheel system) such as hub with outer seals that improve its durability. The proposed snow mobility vehicle is consist of many sophisticated-designed systems such as navigation system, obstacle detection system, communication system, temperature sensing system. Snowmobii 2.0 is easy to get command and enable significant reduction in losses of many solder’s precious lives due to unavailability of food and medicines at that place.
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.
Paper Title - Wiring Harness Optimization towards Wireless vehicle Research and/or Engineering Questions/Objective (maximum 100 words) In current scenario, wiring harness plays a vital role in inter-connecting electrical & electronic components fitted all across the vehicle. As per cable standard, DIN 72551 or ISO 6722, copper conductors being used in stranded wires against cable cross-section & corresponding weight. While going complete wire-less requires each component to have its own battery, ground, transmitter & receiver which indeed is a very costly affair to be employed in vehicle as huge development cost is required. Here I'm suggesting an innovative method to make a vehicle apparently Wire-Less by creating local clusters connected to each other via conventional wiring harness & wire-less module. Such method will apparently give a look of Wire-less vehicle itself & better advantages in terms of installation, service, troubleshooting, uptime & customer delight. Moreover, direct benefits of Cost, Weight, FE will also be achieved.
Carbon Composites (CFRP) have been touted to be an essential component of future automobiles due to their mechanical properties and lightweight. CFRP has been adopted successfully for secondary and primary structures in Aerospace industry. In Automobiles, they are incorporated in models like the BMW i-series. CFRP suffers from 2 major problems. Delamination of Composites leads to catastrophic and rapid failure which could be dangerous in passenger vehicles. Delamination occurs whenever there is a shock on the composite. Secondly, Composites need regular expensive maintenance to ensure that the material is intact and will not compromise passenger safety. Carbon Nanotubes in composites have shown a substantial increase in delamination resistance. A 0.1wt% addition of HiPCO® Single-walled Carbon Nanotube provides both self-sensing and improved fracture resistance.
Objective This paper explores the usage of Altair simulation driven concept process, C123 for developing the chassis frame of the SUV along with Multidisciplinary optimisation tool. C123 process is useful for strategic & systematic usage of optimisation to generate design alternatives, trade-off information, best balanced designs, design sensitivities, to actively support the concept development process on daily basis. Methodology C123 is used for developing initial concept design of the chassis frame of the SUV. C123 process is independent of vehicle architectures, manufacture process (e.g. extrusions, sheet metal) & material selection (e.g. metals, composites, mixed etc.) and platform sharing strategy. C1 process is used for identification of optimum Structural Layout, C2 is for rapid optimum Sizing of idealized Sections, C3 is used for detailed optimum Sizing of Manufacturable Sections. Automatic process is used for handling pre and post processing process very efficiently.