Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).
Public awareness regarding pollutants and their adverse health effects has created an urgent need for engineers to better understand the combustion process as well as the pollutants formed as by-products of that process. To effectively contribute to emission control strategies and design and develop emission control systems and components, a good understanding of the physical and mathematical principles of the combustion process is necessary. This seminar will bring issues related to combustion and emissions "down to earth," relying less on mathematical terms and more on physical explanations and analogies.
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.
Rolling resistance, is nothing but the rolling drag, is the force resisting the motion when a body rolls on a surface. It is mainly caused by non-elastic effects; that is,not all the energy needed for deformation of the wheel, roadbed, etc. It is recovered when the pressure is removed, in the form of hysteresis losses and permanent deformation of the tyre surface. So, the rolling resistance contributes to the deformation of roadbed as well as tyre surface of the vehicle. Factors contributing in rolling resistance are tyre inflation pressure, wheel diameter, speed, load on wheel,, surface adhesion, sliding, and relative micro-sliding between the surfaces of contact. In this concerned paper we are significantly working on effect of tyre inflation pressure on rolling resistance and taking all other factors constraint.
Future hybrid vehicles with advanced 48V electrified drive train technology to reduce CO2 emission. Chandrakant Palve* Pushkaraj Tilak * * Mercedes-Benz Research & Development India Pvt. Ltd. Bangalore. India. Key Words: 48V, CO2, P3 Hybrid, Electrified powertrain, AMT, emission, shift comfort, motor Research and/or Engineering Questions/Objective Global automotive industry is putting effort in moving from conventional powertrain technology to hybrid & electric powertrains. This efforts plays a vital role to achieve cleaner environment, improved performance, reduced fossil-fuel dependency, low noise for meeting regulatory & customer requirements. Automotive industry is facing a challenge of meeting stringent CO2 emission targets of 95g & 175g per kilometer for passenger cars & light commercial vehicles respectively. 48V is an important stepping stone in this direction.
In a connected vehicle environment, the engine drive cycles operate in synchronized and regulated manner. This requires smooth transitions for improved CO_2 footprint. To arrive at this, there is need for intelligent and faster airpath control at transients. Authors aim to model and control every actuator of a coupled system in a synchronized manner with faster dynamic response. The turbocharger control is vital and forms heart of the system; This demands accurate position prediction of VTG. Deriving a control law for turbocharger is challenging due to the hybridized nature of turbocharger models in engine management system. It becomes extremely critical to estimate accurately, the position of VTG without introduction of any sensing devices. The control engineer always need to solve the trade-off between the controller performance KPI’s – rise time, transient response, controllability, observability and capability – stability and dynamics response etc.
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.
Objective It is very important to simulate the battery pack being built to understand its behavior when used in applications especially Electric vehicles (EV). All Li-Ion cells are not the same. They need to be characterized before building any battery pack. Hence modeling the battery pack to simulated its performance in the actual conditions becomes important. Methodology To understand the behavior of cells in the on-field environment, they are tested at various conditions like different rates of charging/discharging, various depth of discharge (DOD), ambient temperature, etc. HPPC test is also performed on cells to derive its RC model equivalent model. GT Suite simulation software is used to model the Li-Ion cell using the testing data. Depending on the pack configuration, the modeled cell is connected in the required series and parallel configuration, to study the battery pack with respect to aging, performance and cooling requirements.