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Research Report

Unsettled Domains Concerning Autonomous System Validation and Verification Processes

2019-12-20
EPR2019012
The Federal Aviation Administration (FAA) and the Department of Transportations' (DOT's) National Highway Traffic Safety Administration (NHTSA) face similar challenges regarding the regulation of autonomous systems powered by artificial intelligence (AI) algorithms that replace the human factor in the decision-making process. The validation and verification (V&V) processes contribute to the implementation of the correct system requirements. The V&V process is one of the steps of a development lifecycle starting with the definition of regulatory, marketing, operational, performance, and safety requirements. They define what a product is, and they flow down into lower level requirements defining control architectures, hardware, and software. The industry is attempting to define regulatory requirements and a framework to gain safety clearance of such products.
Research Report

Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation

2019-12-06
EPR2019007
This SAE EDGE™ Research Report identifies key unsettled issues of interest to the automotive industry regarding the challenges of achieving optimal model fidelity for developing, validating, and verifying vehicles capable of automated driving. Three main issues are outlined that merit immediate interest: First, assuring that simulation models represent their real-world counterparts, how to quantify simulation model fidelity, and how to assess system risk. Second, developing a universal simulation model interface and language for verifying, simulating, and calibrating automated driving sensors. Third, characterizing and determining the different requirements for sensor, vehicle, environment, and human driver models. SAE EDGE™ Research Reports are preliminary investigations of new technologies.
Technical Paper

A Comparative Study to Assess the Effect and Cause of Ride Quality and Comfort of Passenger Vehicle with Subjective Correlation

2019-11-21
2019-28-2410
Vehicle Dynamics testing has its importance in the fields of benchmarking and the validation of mathematical models built in order to predict the ride performance of the vehicle. The importance of enhancing the ride comfort is increasing day by day in present day scenario because of the long hours of driving experience. In presented work, the ride testing is done for two hatchback vehicles on highway conditions in order to compare the ride quality and ride comfort. The parameters like Vibration Dose Value, SEAT factor and Ride Diagram values are used to evaluate the ride comfort. After successful evaluation of the vibration levels affecting the ride comfort of the driver as well as the passenger the next major task is to identify and study the cause of the discomfort. The cause of the discomfort is studied and analyzed in terms of the complex motion of the vehicle. Vehicle motions like choppiness produces higher levels of discomfort as compared to the vertical movement of the vehicle.
Technical Paper

Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

2019-11-21
2019-28-2418
A virtual 'model' is generally a mathematical surrogate of a physical system and when well correlated, serves as a basis for understanding the physical system in part or in entirety. Drive Quality (DQ) defines a driver's 'experience' of a blend of controlled responses to an applied input. The 'experience' encompasses physical, biological and bio- chemical perception of vehicular motion by the human body. In the automotive domain, many physical modeling tools are used to model the sub-components and its integration at the system level. Physical Modeling requires high domain expertise and is not only time consuming but is also very 'compute-resource' intensive. In the path to achieving 'vDQP (Virtual Drive Quality Prediction)' goal, one of the requirements is to establish 'well-correlated' virtual environments of high fidelity with respect to standard test maneuvers. This helps in advancing many developmental activities from a Analysis, Controls and Calibration standpoint.
Technical Paper

Effect of Eccentric Imbalance of Various Crank Train Components on Vibrations in Single Cylinder Diesel Engines

2019-11-21
2019-28-2417
Diesel engine is the main source of power for many agricultural applications such as water pump sets, compressors and tractors. At the same time it is also the main source of vibrations. Mechanical vibrations have instantaneous and long term effects on human body. Kinds of effects depend upon duration of exposure and frequency of vibrations. The increasing demands of improved comfort levels of operators are putting pressures on tractor manufacturers on reducing the vibration levels which thereby resulting in improving diesel engine vibrations. Vibration is the movement or mechanical oscillations about an equilibrium position of a machine or component. A Vibration analysis is about the art of looking for changes in the vibration pattern and then relating those changes. Vibration always occurs when there is unbalanced body in reciprocating or rotary motion.
Technical Paper

Neural Network Based Hybridized Dynamic Models for Connected Vehicles - A Case Study on Turbocharger Position Prediction

2019-11-21
2019-28-2443
Combustion engine driven vehicles operating in a connected and autonomous vehicle (CAVs) environment, the engine drive cycles are run in a regulated manner. This is due to synchronized movement of vehicles operating in connected environment. Hence, developing intelligent and faster control of airpath variable with smooth transient tracking, helps to achieve a synchronized drive cycle. With regards to this author discuss modeling of turbocharger. This is critical for airpath system variable calculation. Due to the hybridized nature of turbocharger models, predicting accurately the position of VTG without introduction of any sensing devices is key, as sensing device induces delay in action. Authors propose a model which improve the performance and capability of VTG position prediction. A neural network based supervised learning model is developed. This model is coupled with engine models which are in series application for performance evaluation.
Technical Paper

Usage of Telematics Data in Advance Powertrain Development

2019-11-21
2019-28-2438
To achieve accuracy in model development with large-scale actual customer 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 specification selection and Battery electric vehicle target range study was done with Honda Connect Data.
Technical Paper

Optimization of Compression Ratio for DI Diesel Engines for Better Fuel Economy

2019-11-21
2019-28-2431
Fuel economy is becoming one of the key parameter as it does not only account for the profitability of commercial vehicle owner but also has impact on environment. Fuel economy gets affected from several parameters of engine such as Peak firing pressure, reduction in parasitic losses, volumetric efficiency and thermal efficiency. Compression ratio is one of key design criteria which affects most of the above mentioned parameters, which not only improve fuel efficiency but also results in improvement of emission levels. This paper evaluates the optimization of Compression ratio and study its effect on Engine performance. The parameters investigated in this paper include combustion bowl volume in Piston and Cylinder head gasket thickness as these are major contributing factors affecting clearance volume and in turn the compression ratio of engine. Based on the calculation results, an optimum Compression Ratio for the engine is selected.
Technical Paper

Location and Call Frequency Based Emergency Dial Enabler

2019-11-21
2019-28-2457
Emergency calls made by in-vehicle systems in the event of a crash , serious incident or manually by a vehicle occupant assist in significantly reducing road deaths and injuries. But still there are more road accidents happen due to abnormality of driver and fatality rate tend to increase because of this. Drivers have a poor health issues, especially when they travel for long, they may get drowsiness and this leads to lack of concentration while driving and because of this concentration issue any serious issue can happen to the driver. This serious conditions can be totally unavoided. This invention provides the solution for contacting the people, who is known to victim very well. during emergency conditions. This may assist victim to get a immediate medical help.
Technical Paper

Numerical Simulation of Battery Thermal Management Systems in Electric Vehicles

2019-11-21
2019-28-2481
Electric vehicle works on stored energy inside the batteries or cells. These units needs to be regulated by cool down or heat up to perform utmost. This temperature regulation also ensure individual battery or cell life. BCS are installed on vehicles to regulate the temperature around battery packs. To ensure maximum performance of these units, numerical simulation is performed and detailed optimization of flow rate as well as flow path into BCS is carried out. All the parts are assembled inside the unit as per defined packaging area or size. Numerical modelling (CFD) is performed to examine the flow path. Flow path is very important to examine, as BCS units consists of condenser. It is very important for condensers to perform efficiently, which means air flow should happen across it appropriately. If sufficient flow is not happening across the condenser, then performance of condensers comes down and optimum temperature around battery packs cannot be maintained.
Technical Paper

Development of Low Cost Lifesaving System for Automotive Vehicles during Road Accidents

2019-11-21
2019-28-2460
Vehicular accidents are life-threatening and result in fatal casualties in developing country such as India. According to estimates, traffic accidents kill more people in India than diseases like Cancer and AIDS. More than 150,000 people are killed every year in traffic accidents in India, which works out to 400 fatalities a day, far higher than developed auto markets like the U.S., which had logged about 40,000 deaths in 2016. The World Health Organization estimates road accidents cost most countries about 3 per cent of their gross domestic product. India being the fastest growing economy will be the world’s third-largest car market after China and the U.S. by 2020, according to automobile researchers. According to research study most of death cause due to not getting help on time to the injured person. Research has proven that if injured person is not found any option of help then they also lose the power to fight such critical situation due to psychological effect.
Technical Paper

Testing Electric Vehicle Sub-Systems Using Low Cost Programmable Electronic Load

2019-11-21
2019-28-2492
The advancements in Electric Vehicles have introduced many complex sub-systems with demanding and sporadic power needs. For example, the current consumed by electric motor or bank of super-capacitors involve transients making them non-linear loads. Conventional test systems for load analysis mainly involved resistive loads where the rate of rise or fall of current was linear, falling short to accommodate the dynamic behavior of the Electric Vehicle loads. In this paper, we have proposed a low cost; yet effective electronic load that is independent of the battery voltage and can sink the current in any prescribed pattern with respect to time. The simulation results have shown the effectiveness of the hardware with respect to changes in temperature, aging and sudden input fluctuations. The implemented electronic load is interfaced to a desktop application to program the dynamic load behavior and the test duration.
Technical Paper

Design and Development of Automotive Battery Management System

2019-11-21
2019-28-2498
Battery operated vehicle needs 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 the safe working. The main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SoC, balance individual cells, thermal management, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Coulomb Counting as well as 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.
Technical Paper

Engine Fuel Economy Optimization for Different Hybrid Architectures Using 1-D Simulation Technique

2019-11-21
2019-28-2496
Hybridization of off road vehicles is in its early phase but it is likely to increase in coming years. In order to improve fuel economy and overall emission of the 3.3 litre tractor model, various kinds of engine hybridization is studied. This paper presents a methodology to predict vehicle fuel consumption and emission using 1-D software by coupling Ricardo Wave and Ricardo Ignite. Initially, An acceptable agreement within 5% deviation between simulation and experimental is established for engine steady state points, both for engine performance and NOx emission parameters. Engine fuel consumption and emission maps are predicted using Ricardo WAVE model. These maps are used as an input to IGNITE model for predicting cumulative fuel consumption. Same calibrated model is used further for studying idle start stop and fully hybrid P0 type hybrid architecture. The hybrid P0 type involves idle start stop, e-boost and regeneration.
Technical Paper

Design & Development of Advanced 48 V Electrified Powertrain for Meeting Future CO2 Emission Requirements

2019-11-21
2019-28-2487
Environmental Protection Agency (EPA) study indicates that a typical passenger vehicle emits about 4.6 metric tons of carbon dioxide per year. ICCT (International Council on Clean Transportation) establishing fleet-average emissions targets of 95 g & 175 g CO2 per kilometer for passenger cars & light commercial vehicles respectively. In view of the same, extensive work has been executed for implementation of 48 V electrified drivetrain technology, which plays an important role to meet stringent CO2 emission norms. A 3-phase permeant magnet Electric Motor and associated inverter, including the Packaging of the battery, for a P3 hybrid rear drive vehicle was developed. The requirements, relating to design of 48 V drivetrain technology, power and duty cycle has been extensively addressed in the paper.
Technical Paper

Need for Personalization and Opportunities in Autonomous & Shared Mobility

2019-11-21
2019-28-2520
In the current scenario, vehicles are majorly owned by individuals where they have their own personal settings or accessories as per their individual preferences. In Shared mobility all features/controls are not personalized to everyone who shares the vehicle, which hinders the usage of shared vehicle. For shared mobility/Autonomous vehicle to be successful, it must play a significant role in customer engagement. To enhance the customer engagement, we need to satisfy individual customer by customizing the vehicle for their needs. This will give a cognitive feel of personal vehicle in a shared environment. We need technologies and design in improving vehicle interior and exterior systems to address personalization. We will involve Design Thinking approach by customer interactions in each zone of vehicle both interior and exterior to identify personalization needs. The zones of study include Frunk & Trunk compartment zone, Interaction zones, interior & exterior zone.
Technical Paper

Development of Dedicated Lubricant for Hydrogen Fuelled Spark Ignition Engine

2019-11-21
2019-28-2511
Hydrocarbon based fossil fuels are being used as the main energy resource, burning of which produces carbon dioxide (CO2) and other emissions harmful to environment. Moreover, CO2 is considered as the main contributor to global warming or greenhouse effect. These are the main drivers behind the ongoing research & development in the area of alternative energy sources. Among various alternatives, Hydrogen is identified as the most promising alternative fuel. Hydrogen is the cleanest fuel having some of the most attractive features such as various methods of production from renewable energy (solar, wind, biomass etc.), from fossil fuels etc. H2 as a fuel can be used in various applications such as spark ignition engine, fuel cells etc. Hydrogen has low ignition energy and ensures easy ignition of the ultra-lean mixture with air.
Technical Paper

Potential for Emission Reduction and Fuel Economy with Micro & Mild HEV

2019-11-21
2019-28-2504
The development of modern combustion engines (spark ignition as well as compression ignition) for vehicles compliant with future oriented emission legislation (BS6, Euro VI, China 6) has introduced several technologies for improvement of both fuel efficiency as well as low emissions combustion strategies. Some of these technologies as there are high pressure multiple injection systems or sophisticated exhaust gas after treatment system imply substantial increase in test and calibration time as well as equipment cost. With the introduction of 48V systems for hybridization a cost- efficient enhancement and, partially, an even attractive alternative is now available. An overview will be given on current technologies as well as on implemented test procedures. The focus will be on solutions which have potential for the Indian market, i.e. solutions which can be implemented with moderate application effort for currently available compact and medium size cars.
Technical Paper

Design and Development of Constant Speed Diesel Engine up to 20 bar BMEP with Inline FIE

2019-11-21
2019-28-2549
Development trend in diesel engine is to achieve more power from same size of engine. With increase in brake mean effective pressure (BMEP), the peak firing pressure will also increase. The methodology to control the peak firing pressure on higher BMEP is the major challenge. We achieved better SFC with CPCB II emission targets on a constant speed engine. This study involves a systematic approach to optimize combustion parameters with a cost effective and robust Inline Fuel Injection System. This paper deals with the strategies applied and experimental results for achieving the power density of 25kW/lit @ 1500 rpm with Inline FIP by keeping lower Peak firing pressure. Various combustion parameters such as Combustion Bowl Geometry, selection of Turbocharger, Swirl, FIP, Nozzle configuration, EGR flow rate, EGR operation strategy, optimizing injection pressures, start of injection, end of injection, injection duration are optimized.
Technical Paper

Mass Optimized Hood Design for Conflicting Performances

2019-11-21
2019-28-2546
Passenger vehicles have stringent safety regulations for pedestrian protection to meet child and adult head impact requirements to minimize injuries. These pedestrian safety requirements often conflict with stiffness and durability performance criteria, which pose a challenge for most automotive OEMs. There is a growing need for performance balancing to meet both these loadcases. This paper uses Multi-Disciplinary Optimization (MDO) approach involving shape variables to achieve optimized performance for stiffness, durability and pedestrian safety. The current study describes an approach that helps reduce time and efforts needed to resolve performance issues between both stiffness/durability and Pedestrian safety requirements. This approach not only helps find a feasible cross-functional solution but also provides an opportunity to reduce the overall development cycle time and mass whenever possible.
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