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.
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.
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.
As we transition towards Internet of Things (IoT) - humans are connected to each other & outside world through the smartphone. Customers tend to use smartphones for varied purposes ranging from communication to entertainment. However, the concern of distraction exists due to poor visibility & accessibility of the phone's screen in driving condition. One of the repercussion of being connected to smartphone particularly in driving condition includes higher number of road accidents due to distraction. This paper explains one of the key initiatives taken by Maruti Suzuki India Limited to address the same.
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.
The automotive industry has seen the rise in safety norms and regulation in recent years. Achieving optimum performance and reducing cost while designing the overall system is biggest challenge. AIS -145 is one of the popular norm which will become mandatory after 2020. AIS -145 is park assistance system based upon the proximity sensing application. This paper deals with characterization of ultrasonic transducers for automotive proximity-based sense application. Characterization of ultrasonic transducer is important to achieve optimum performance and functionality of overall system. The objectives of this work is to characterize the ultrasonic transducer for different vehicle environment and sensor parameters. The vehicle environment such as chassis, bumper and sensor mounting location and sensor parameters such as transducer gain, transducer operating frequency, transducer driver threshold has significant effect on the proximity sensor -ultrasonic transducer sensitivity performance.
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.
Battery operated vehicle need accurate management system because of its quick changes in State of charge (SOC) due to aggressive acceleration profiles and regenerative braking. Li-ion battery needs control over its operating area for its safe working. So, the main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SOC, predict degradation parameters, balance individual cells, manage cell temperature, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Model-based Design approach wherein nonlinear behavior of battery is modeled as Equivalent Circuit Model to compute the SOC and degradation effect on battery to decide the end of life of battery, also performing inductive Active balancing on cells to equalize the charge. proposed algorithms communicate with the vehicle ECU through CAN to assist the driver for runtime estimation, time for battery swapping, Alerts.
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.
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.
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.
The future of mobility is being driven towards fully autonomous driving. As a result, people spend majority of the time in vehicles for chores other than driving. The focus of automotive makers shifts towards providing best-in-class passenger comfort. One of the least focused area in passenger comfort is vehicle interior cleanliness which requires periodic human intervention. An intelligent vehicle can outsmart a human by self-caring to maintain the cleanliness elements on floor, seat and roof. This paper addresses subjects like wetness, dirt and stains in the vehicle interior utilizing the capability of Interior sensing platform. An internally mounted camera in the vehicle can capture images of the interior and apply image processing techniques to identify the subjects mentioned above. The wetness on the floor mats can lead to moldy odor, corrosion, failure of the electronic components in the car.