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.
A high impetus from Government on road infrastructure development, is giving a fillip to passenger CV space. This has resulted in making the passenger CV segment lucrative enough, thereby pulling in many operators in the business. The quality of road has immensely improved over a decade, as a result of which the average speed and hence the quantum of distance covered by passenger buses has increased significantly. People are preferring to travel in buses over trains, owing to at par ticket cost, high availability, reduced travel time and also improved level of comfort. Aligned to the market need and the trend, OEM's are offering buses with capable powertrains to cater the need of speed, reduced trip time as well as a lot of attention is also being paid to tune in the comfort level for long hauls. A big chunk of passenger travel is catered by the bus operators especially during major festivals in India.
Ride Comfort forms a central 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 heavy commercial truck using MATLAB Simulink. First, bench-marking was carried out on a 4x2 heavy 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. This is followed by running the vehicle on Class A, B & C road profiles-irrespective of vehicle speed- to account for random vibrations.
"According to Data on Road accidents in India by Transport Research Wing of Ministry of Road Transport & Highways, more than 4 Lakhs road accidents happened every year from year 2003 to 2017. Poor road conditions and badly designed roads are the common cause of road accidents besides the driver's negligence. Poor roads and badly designed speed breakers are common in developing countries. Apart from accidents, poor road conditions can cause excessive fuel consumption & damage to vehicles. Road condition monitoring solutions aim to warn the drivers of upcoming bad patch on the road and optionally report road conditions to authorities. There are multiple existing solutions that use motion sensors and GPS to detect a bad patch on the road. The presented solution builds over capability of existing solutions by adding useful features making it more practical and useful.
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.
This paper discusses the need for Emergency Vehicle Approaching Alert System (EVAAS) and building of EVAAS components for OTT (over- the-top content), and Media providers. According to a study by the Indian Journal of Surgery in 2006, 80 per cent of road accident victims in India do not receive any emergency medical care (Ambulance) within this ‘golden hour - the first hour after a traumatic injury, when emergency treatment is most likely to be successful.’ Due to increasing population and constructions of Roads and Buildings, Emergency Vehicles are not able to reach the desired location. Hence, there is a need of an Emergency Vehicle Approaching Alert System (EVAAS) in INDIA.
EMC challenges & solutions for Electric Buses Enoch Eapen, Devender Kumar and Madhusudan Joshi International Centre for Automotive Technology, Manesar Electric buses are talk of the town in India with Government pushing the implementation of E-mobility in general and for public transportation in particular. However due to high voltages and complex power electronics design, it often becomes difficult to deal with EMC related non-compliances. ICAT being largely experienced in the EMC testing and validation of E-buses, would like to present the various EMC challenges and the solutions related to E-buses. In this paper we would share three case studies where the EMC issues related to E-buses were mitigated by either introducing simple changes to the existing design or through large/small modification.
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.
Research Objective The importance of evaluating ride comfort with high degrees of accuracy objectively and its correlation with subjective perception is increasing day by day because of the long duration of the driving experience. The complex motion of the vehicle which is the combination of heave, roll and pitch motion is responsible for causing extreme uneasiness to the driver as well as the passenger. In this paper, ride comfort evaluation is done on the highway with similar traffic conditions with the help of Vibration Dose Value Analysis, Suspension Working Space and Ride Diagram methods for two hatchbacks and its correlation with the complex motion like choppiness of the vehicle is established that will help us to enhance the driver ride experience. Methodology The ride testing is performed for two hatchbacks on a highway road with different kinds of terrain ranging from highly uneven road roughness to moderately smooth surface for a speed range of 60-100 kmph.
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.
This paper proposes a model to implement a blockchain network that can host a system of autonomous vehicles which communicate through generic V2V protocols like DSRC and CV2X. The blockchain will be designed to function like a global database for V2V communication. The purpose behind the proposal of this model was to ensure a transparent and secure network between all autonomous vehicles which indirectly leads to reduced traffic congestion and takes us a step closer to zero crashes. This is made possible by the blockchain ledger’s enhanced encryption systems.
Smart Honking Keywords-Safety, Connectivity, GPS M. Priyanka, Mahindra&Mahindra, India Sai Himaja Nadimpalli, Mahindra&Mahindra,India Keywords-Honking , Infotainment , GPS Research and/or Engineering Questions/Objective: In India unnecessary vehicular honking is the main reason for noise pollution. The problem is worst at traffic signals where drivers start honking without waiting for the signal to turn green or for traffic to move. Drivers show no respect to the law that prohibits the use of horn at traffic signals and other silent zones such as areas near hospitals, schools, religious places and residential areas. Vehicular honking in cities has reached at an alarming level and contributes approximately 70% of the noise pollution in our environment.The unwanted sound can affect human health and behavior, causing annoyance, depression, hypertension, stress, hearing loss, memory loss and panic attacks.
In today’s era, especially in young generation, the craze of motor bikes is really remarkable. As the bikers in our country are increasing, the road mishaps are also increasing day-by-day, due to which many deaths occur and most of them are caused by the negligence in wearing helmet. According to the Ministry of Road Transport and Highways, 1,50,785 people were killed in 4,80,652 road crashes in India in 2016. This translates into 55 crashes and 17 deaths every hour. In case of road crash deaths, Two-Wheeler topped the list with a percentage share of 29.42% followed by Trucks, Tempos, Tractors(25.9%) and Cars, Jeeps, Taxis (21.61%). In order to overcome the above mentioned problem, we are designing an intelligent system that detects the helmet and prevent the rider to ride the bike without wearing helmet which helps to reduce the death cases during an accident. Our task as an automobile engineer was to design a smart helmet that could automatically detected by the two-wheeler.
India has emerged as the world’s biggest market for Two-wheelers and Four-wheeler. Besides rising incomes and growing infrastructure in all areas, one big reason for the spurt in sales has been ease of zipping in and out of chaotic city traffic along with road irregularities and potholes. Furthermore, the efficiency increase in the Shock absorber within the vehicle have high demands to use of regenerative solutions, in which e-system can be employed as to recover part of the energy otherwise dissipated in form of heat. The Smart e-Shock can charge battery and illuminate accessories of vehicle. Also, the e-shock can provide the various damping characteristics by changing the Electric load on to it to make system as Semi-Active Suspension. This Smart e-Shock system is based on unique and patented concept of constraining the reciprocating motion of the shock absorber in to a single sense of rotation of e-system and the energy is recuperated and given to the battery from the e-system.
E-Rickshaws are popular and convenient mode of transportation for last mile connectivity and are typically used for short distance(<10Km) commute. As per recent reports there are more than 1.5million e-rickshaws plying on Indian roads and approx. 10,000 vehicles are adding every month. Owners of these vehicles are inclined towards the overall range these vehicles can give on a single charge. Range can be improved by using efficient powertrain. Range can also be improved by optimized Battery Management systems and Controllers. Though there are certain evaluation criteria (such as curtailed Indian Drive Cycles) which can be used for efficiency estimations, manufactures are more interested in extending the range in real world scenarios. Hence, availability of real-world drive cycle is imperative. Through this paper, we have attempted to derive a typical drive cycle by collecting road data of various types of e-Rickshaws under different environment conditions.
In autonomous vehicle world human safety takes highest priority. And most researchers agree that machines won't be able to completely take over driving duties for years or even decades. "Today's autonomous vehicles can drive relatively well in typical settings, but they fail in exceptional situations - and it's those situations that are the most dangerous," said Walter Lasecki, an assistant professor of computer science and engineering. "Designing autonomous systems that can handle those exceptional situations could take decades, and in the meantime, we're going to need something to fill the gap. Few companies have introduced human safety drivers in autonomous vehicles which has cost advantage compared to traditional ride sharing services. Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide - scale adoption.