This highly interactive workshop focuses training on negotiation strategy and skills. This is not the manipulative, win-lose negotiation approach frequently taught today, where the winner eventually spends time and effort protecting his negotiated advantage against erosion, while the loser continually exploits loopholes and shortcuts to recover lost ground. Traditional negotiation is a wary dance based on mistrust, the true cost of which is lost in quality and brain fatigue - usually for someone other than the negotiator - over the life of the agreement.
The ability to write concise and unambiguous reports, proposals, manuals, or other technical documents is a key skill for any high-functioning engineer or technical staff person in the mobility industries. Through a combination of class discussions, interactive workshop activities, assignments, checker teams (review teams) and job aids, this course delivers real-life technical writing techniques and tools that can be immediately applied. Attendees discover the importance of knowing their audiences and how to communicate technical information in a "user-friendly" style.
As Battery cost is expected to see a Downward trend, Electrification of Powertrain in general is expected to pick up and 2wheeler Market is foreseen to be the Flag bearer in this race towards Electrification. In this paper, we would like to emphasize on the Journey of 2wheelers from Conventional Internal combustion Engine to Electrified Powertrains which we foresee in the future. Methodology: EV - Analysis of OEM strategies and upcoming trends in connectivity and electrification. Estimation of current market size of 2Wheeler and segmentation based on different personas. Building survey data based personas around ownership patterns for electric 2Wheelers. Mapping consumer decision process for electric 2Wheelers. Analyse the decision influencers and role of influencers in decision making process. Hybrid - Analysis of different hybrid topologies. Feasibility study via simulation and focus group assessments to evaluate the design. PoC will also be tried to validate the concept.
Abstract:At present there are a few types of transmission system available in automated industry, there might some variation in transmission system but the basic working and principle is still the same. Many big automotive manufacturers use different technologies in their transmission system but they still use the same basic principle in their transmission systems. This new technology which is brought by Koenigsegg has changed the way people think about transmission system. This new transmission system is known as Koenigsegg Direct Drive and is currently used by one automotive manufacturer and in one vehicle only, but it soon might change the way it is now.
Objective This paper explores the usage of Altair simulation driven concept process, C123 for developing the chassis frame of the SUV along with Multidisciplinary optimisation tool. C123 process is useful for strategic & systematic usage of optimisation to generate design alternatives, trade-off information, best balanced designs, design sensitivities, to actively support the concept development process on daily basis. Methodology C123 is used for developing initial concept design of the chassis frame of the SUV. C123 process is independent of vehicle architectures, manufacture process (e.g. extrusions, sheet metal) & material selection (e.g. metals, composites, mixed etc.) and platform sharing strategy. C1 process is used for identification of optimum Structural Layout, C2 is for rapid optimum Sizing of idealized Sections, C3 is used for detailed optimum Sizing of Manufacturable Sections. Automatic process is used for handling pre and post processing process very efficiently.
The Automotive industry is in ever more need for a lesser weight car due to progressively stringent emission norms and the demand of customer to have better mileage. It can be a gargantuan challenge for automotive manufacturers to search for lesser weight material to meet both customers as well as regulatory norms. But in some cases such lower weight material can increase the cost and adding a expensive material which increases overall cost to a price sensitive market like India is not favorable. One such solution is using the indigenous plant fiber (Jute) in combination with propylene (PP) to make Interior plastics components. Jute a vegetable fiber also referred to as "the golden fiber" has high tensile strength, low extensibility and is well established in fabric, packing, agriculture, construction industries. The biodegradable Jute lesser weight & abundance (India is the leading manufacturer of the Jute) can be utilized in making automobile trim parts in India.
Automotive returnable cases (Stacktainers) are being used to transport the automotive parts through surface & seaways. No automotive manufacturer wants to spend money on woods, paper & cardboard again and again, it`s better to pay once for robust & reusable cases. these provide better protection to parts from its manufacturing to assembly line of vehicle. While transporting, any kind of crack or failure of returnable cases may lead to loss of money, human & time. To ensure the safety, these pallets have to be validated for vibrations coming from surface irregularities, sea waves & load due to stacking of cases one above other. The objective of this study is to establish a correlation in between the physical testing & simulation in Computer added Engineering (CAE) of automotive returnable case (Stacktainers). There are different types of tests considered to validate the returnable case, rough road evaluation, Multi-axial Vibration & strength evaluation.
OBJECTIVE: Climate change is primary driver in the current discussions on CO2 reduction in the automotive industry. Current Type approval emissions tests (BS III, BS IV) covers only tailpipe emissions, however the emissions produced in upstream and downstream processes (e.g. Raw material sourcing, manufacturing, transportation, vehicle usage, recycle phases) are not considered in the evaluation. The objective of this project is to assess the environmental impact of the product considering all stages of the life cycle, understand the real opportunities to reduce environmental impact across the product life cycle. METHODOLOGY: As a part of environmental sustainability journey in business value chain, Life-cycle assessment (LCA) technique helps to understand the environmental impact categories. To measure overall impact, a cradle to grave approach helps to assess entire life cycle impact throughout various stages.
Objective This paper explores the usage of Altair simulation driven optimisation process, Front Suspension hard points of a sedan Car model are optimised for specific target toe curves using MotionView, MotionSolve and HyperStudy This process gives the optimal hard point values to match the target curves without much iterations. Methodology Parametric Multibody model of the front end of sedan is built in MotionView. To Carry out optimisation HyperStudy is used where few of the suspension hard points which affect the toe curves are chosen as design variable. For the chosen Design variables upper and lower bound limits are specified. Ride, Roll and lateral force tests are performed. Optimisation is performed using HyperStudy where it iterates the suspension hard points to match the target toe curves. Each iteration response can be visualized in HyperStudy and can be compared with the target toe curve.
This paper investigates and proposes the possibilities of standardizing the software/firmware package format and flash jobs in order to provide the possibility of productizing the update-over-the-air solution regarding on-board vehicle components and make use of it in all OEMs with minimum configuration changes and customization. The update-over-the-air solution in the automotive sector is provided by various suppliers and needs to be customized to meet various OEMs requirements. Possible Variants of OEM requirements are: • Variant 1 o Customer Portal + Backend + vehicle on-board components solution from supplier • Variant 2 o Customer Portal + Backend solution from OEM o Vehicle on-board components from supplier • Variant 3 o Backend from OEM o Customer Portal + vehicle on-board components from supplier ODX, VBF, and many other formats from OEMs include software/firmware packages.
Abstract: Future of Mobility is mainly driven by 3 main pillar viz Connected , Electrified and Automated Driving. With advancement in Communication Technology supplemented by huge customer Base , Connectivity has proven to deliver better Services to the End-user. The next step in this journey would be to connect the so called “Things” and the Things that we want to connect is the 2 wheeler in the Mobility domain This paradigm shift in the Mobility Landscape is expected to bring plethora of opportunities on one side as well as new challenges that were never witnessed in the realm of Mobility in the Past. This paper focuses on Opportunities in terms of Location Based services, Vehicle Management, Data Analytics, Infotainment , and possible Business scenarios and Models as well as challenges in Terms of Security and Data Ownership Methodology: Analysis of OEM and Supplier strategies/approaches and upcoming trends in connectivity and electrification.
Objective / Question: Is it possible to extend the envelope of simulation driven design and its advantages to development of complex dynamic systems viz. traction motor drives? The objective that then follows is how to enable OEM/Tier-1s to reduce wastes in the process of traction motor controller design, development, optimization and implementation. Motor control design to validation process is time consuming and tricky! Additionally, the requirement of software knowledge to write code to implement drive engineer's control ideas. The challenges here are - to name a few - algorithm for real time, addressing memory constraints, debugging, comprehending mathematical overflows, portability & BOM cost. These introduces wastes in parameters like time, cost, performance, efficiency and reliability. Methodology: Developing a new traction motor controller for E Mobility takes 18 - 24 months typically. 2 distinct activities take place in a loop.
Objective Automotive sector is rapidly moving towards electric vehicle. BLDC motor is gaining popularity in the field of electric vehicle due to its high torque to weight ratio and simple control. In this paper we will focus on Switching loss characterization of 3 kW GaN based BLDC drive for electric vehicle. To improve efficiency of drive gallium-nitride based power transistor is used instead of Si MOSFET. GaN devices enable the design of inverter at higher frequencies with improved power density and efficiency as compared to traditional Si MOSFETs. Methodology In this paper commercially available GaN devices compared with Si MOSFETs. The power devices, which are selected for the performance comparison, are EPC2022 GaN by EPC, GS61008P GaN by Gan System and SiDR668DP Si MOSFET by Vishay. The Switching losses analytically predicted in MATHCAD tool and then compared with SPICE simulation losses. Double pulse test circuit is used to find out power losses of power transistors.
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.
Downsizing is one of the crucial activities being performed by every automotive engineering organization. The main aim is to reduce – Weight, CO2 emissions and achieve cost benefit. All this is done without any compromise on performance requirement or rather with optimization of system performance. This paper evaluate one such optimization, where-in radiator assembly with two electric fan is targeted for downsizing for small commercial vehicle application. The present two fan radiator is redesigned with thinner core and use of single fan motor assembly. The performance of the heat exchanger is tested for similar conditions back to back on vehicle and optimized to get the balanced benefit in terms of weight, cooling performance and importantly cost. This all is done without any modification in vehicle interface components except electrical connector for fan. The side members and brackets design is also simplified to achieve maximum weight reduction.
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.
Objective The objective of this paper is to achieve a comparable handling performance from a vehicle fitted with a CNG tank to that of its gasoline counterpart. A validated CarSim model is run through standard handling evaluation tests before and after the addition of CNG tank. The simulation results are used to compare the handling characteristics of the CNG vehicle with the Base vehicle. Further these results are used to tune the suspension parameters to find an optimum set-up for the actual CNG vehicle. The final parameters are then evaluated in the actual vehicle to verify the study. Methodology A mix of Actual Mule vehicle testing backed by quik Car Sim Model. Full car model is first developed using CarSim by using the parameters of the actual base gasoline vehicle. The modeled vehicle is then tested for standard handling maneuvers such Double Lane Change, Constant Radius Constant Speed and Pulse Input.
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 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 Controls and Calibration aspect.
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.