SAE Engineering Academies provide comprehensive and immersive training experiences, helping new and re-assigned engineers become proficient and productive in a short period of time. The Hybrid and Electric Vehicle Engineering Academy covers hybrid and electric vehicle engineering concepts, theory, and applications relevant to HEV, PHEV, EREV, and BEV for the passenger car industry. While the theory and concepts readily apply to the commercial vehicle industry as well, the examples and applications used will apply primarily to the passenger car industry.
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.
The positioning of the sensors on vehicle will play a critical role in autonomous cars, it improves the performance of overall system by all the means and make it cost effective by reducing a total system cost. This paper contributes in deciding the best position of camera location on the vehicle with complete geometric and system calculation based on the maximum speed of vehicle, hardware processing speed, camera parameters, actuation and control time, Blind spot detections, maximum Height of objects, etc. The paper presents the technologies and datasets used for lane lines and other object detections. It focusses on newly proposed technique and its calculations to decide the best location of monocular camera sensor on the vehicle by considering all other parameters of autonomous vehicle system. It enhances the performance of overall system as well as reduces the system cost which takes us closer to the futuristic dream of efficient and low-cost autonomous vehicle.