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Research Report

Unsettled Technology Domains in Robotics for Automation in Aerospace Manufacturing

2019-12-20
EPR2019010
Cost reduction and increasing production rate are driving automation of aerospace manufacturing. Articulated serial robots may replace bespoke gantry automation or human operations. Improved accuracy is key to enabling operations such as machining, additive manufacturing, composite fabrication, drilling, automated program development and inspection. New accuracy standards are needed to enable process- relevant comparisons between robot systems. Accuracy can be improved through calibration of kinematic and joint stiffness parameters, joint output encoders, adaptive control that compensates for thermal expansion and feed- forward control that compensates for hysteresis and external loads. The impact of datuming could also be significantly reduced through modelling and optimization. High dynamic end-effectors compensate high-frequency disturbances using inertial sensors and reaction masses.
Research Report

Unsettled Issues in Balancing Virtual, Closed-Course, and Public-Road Testing of Automated Driving Systems

2019-12-20
EPR2019011
This SAE EDGE™ Research Report identifies key unsettled issues of interest to the automotive industry regarding the challenges of determining the optimal balance for testing automated driving systems (ADS). Three main issues are outlined that merit immediate interest: First, determining what kind of testing an ADS needs before it is ready to go on the road; Second, the current, optimal, and realistic balance of simulation testing and real-world testing; Third, the challenges of sharing data in the industry. SAE EDGE™ Research Reports are preliminary investigations of new technologies. The three technical issues identified in this report need to be discussed in greater depth with the aims of, first, clarifying the scope of the industry-wide alignment needed, second, prioritizing the issues requiring resolution, and, third, creating a plan to generate the necessary frameworks, practices, and protocols.
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 Technology Domains in Aerospace Additive Manufacturing Concerning Safety, Airworthiness, and Certification

2019-12-20
EPR2019008
Additive manufacturing (AM) is currently being used to produce many certified aerospace components. However, significant advantages of AM are not exploited due to unresolved issues associated with process control, feedstock materials, surface finish, inspection, and cost. Components subject to fatigue must undergo surface finish improvements to enable inspection. This adds cost and limits the use of topology optimization. Continued development of process models is also required to enable optimization and understand the potential for defects in thin walled and slender sections. Costs are high for powder-fed processes due to material costs, machine costs, and low deposition rates. Cost for wire-fed processes are high due to the extensive post-process machining required. In addition, these processes are limited to low-complexity features.
Research Report

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

2019-12-20
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 sensor model interface and language for verifying, simulating, and calibrating automated driving sensor; 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

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

Entry Level Connected Infotainment Unit with Smartphone and Vehicle Integration

2019-11-21
2019-28-2434
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.
Technical Paper

Digital Twins for Prognostic Profiling

2019-11-21
2019-28-2456
Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system/subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. With currently available disruptive technologies, systems integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenge to system health monitoring as failure of any component can trigger catastrophic system failures.
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

Analysis of Pressure Variation in Wheel Using Statistical Methods

2019-11-21
2019-28-2450
Tire is one of the significant components of the vehicle, and so its characteristics for proper functioning of vehicle. Tire characteristics relies on number of factors including pressure in tire, construction of the tire and thread pattern. Of these, the factor of our interest is tire pressure. Maintaining proper tire pressure becomes necessity, as it causes several undesired effects which in turn affect the motorcycle performance. Hence, pressure variations should be detected as one of the safety measures. Wheel speed based detection of tire pressure is not observed before in motorcycles. In this approach only, software algorithm is needed to complete the system to measure pressure, no extra hardware is required. The paper presents a method to analyze variation in tire pressure by using the wheel speed sensor. The idea is to detect pressure variations in the wheel with respect to nominal pressure using data obtained from wheel speed sensor.
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

Estimating Drive Cycle for E-Rickshaws Using Real World Operating Scenarios for Overall Powertrain Improvements

2019-11-21
2019-28-2497
E-Rickshaws are popular and convenient mode of transportation for last mile connectivity and are typically used for short distance (<10 Km) commute. As per recent reports there are more than 1.5 million 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, manufacturers are more interested in extending the range in real world scenarios. Hence, the 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.
Technical Paper

Performance & Efficiency Improvement of Electric Vehicle Power Train

2019-11-21
2019-28-2483
Introduction: The advent of electric mobility is changing the conventional mobility techniques and their application in automobiles across all segments. This development comes with challenges ranging across varied sub -systems in a vehicle including Power Train, HVAC, Accessories, etc. Objective: This paper would concentrate on the Power train related sub systems & improvement of the same both in terms of Efficiency & Performance. Methodology: The electric power train consists of three major sub parts: 1. Motor Unit 2. Controller with Power electronics 3. Battery Pack with BMS We would concentrate on improving the overall efficiency and performance of all these subsystems while they perform in vehicle environment and work in tandem by deploying following techniques: a. Improved Regenerative Braking for converting vehicles Kinetic energy into electrical energy using specific algorithms and control techniques b.
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.
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