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The concept definition phase of typical vehicle development focuses on the architecture definition and optimization based on different constraints/requirements. With the focus on Sustainability, the architecture optimization process must include “Light-weighting” as an optimization criterion. With only concept vehicle architecture available, the vehicle weight estimation becomes judgmental & inaccurate. This paper aims to address this deficiency with a new analytical approach for vehicle weight estimation. The new approach for vehicle weight estimation is a “bottom-up” approach using parametric models for each system weight with the inputs being the relevant vehicle specifications driving the system engineering. For size/shape-driven (rather than functional) systems, the models are content-based & segment-based. The parametric models are then iterated for multiple architecture concepts & specifications and the optimum concept (meeting all functional & business constraints) is chosen.

In current scenario importance of fuel efficient vehicles, lesser emissions & energy efficiency are the major considerations for any vehicle manufacturer. To meet these expectations vehicle manufacturer are exploring alternate powertrains to reduce emissions and produce better fuel efficient vehicles. For any vehicle manufacturer component cost, weight and package volume are the major driving factors for success. This is even true for latest upcoming hybrid and electric vehicles as well. To gain advantage and introduce products faster, OEMs are inclined to electrify their existing platforms to compete with other manufacturers. To convert existing vehicles into hybrid vehicles, all the major components like e machine, High voltage battery, power electronics etc. needs to be carefully packaged along with existing components in the same package space.

This paper is an attempt to compile a systematic approach which can be easily incorporated in the product development system used in the design and development of parking brake systems for passenger cars having rear drum brakes, which in turn can effectively reduce the lead time and give improved performance. The vehicle GVW, percentage gradient and maximum effort limits (as per IS 11852 - Part 3), tire and drum brake specifications were taken as front loading. This data is used for target setting of functional and engineering parameters, such as lever pull effort, lever ratio and angular travel of lever. Design calculations were performed to obtain theoretical values of critical parameters like lever effort and travel. The comparison between target and theoretical values give the initial confidence to the system engineer. Further, the outcome was taken to conceptualize the hard points of lever on vehicle for ergonomics.

This paper details the methodology used to prevent Thermal events in a vehicle at design and development stages which can lead to vehicle fire or Thermal events. Vehicle Safety is always been in prime focus for designers while introducing newer products in markets for the customers. It is now common to see vehicles catching on fire in roads and in parking places leading to destruction of the surroundings as well as hazard to the passengers. Thermal events can take place due to the heat dissipated by the heat emitters such as Engine, Turbo, Alternator, Exhaust System etc. So the most critical area where Thermal event can take place are under hood which includes the complete engine compartment and under body. The extent of fire depends on the fire source, characteristics of the materials used in constructing and furnishing the vehicle.

The need for automotive OEMs to manage product complexities and tough time to market in a competitive global industry mandates systems-driven product development process, which combines systems engineering methodology across all development domains with an integrated definition of the product. Businesses unable to adapt quickly lose mind share as well as market share. It is critical to the success of an automotive OEM to apply a consistent process framework based on systems engineering to capture, manage and organize information and knowledge, beginning with the voice of the customer, and continuing through product development, service, support and end-of-life. Systems engineering is important because it effectively nourishes an initial idea into a full system description, with all necessary elements integrated to form a complete product.

A typical powertrain mount design process starts with performing the system calculations to determine optimum mount parameters, viz. position, orientation and stiffness values to meet the desired NVH targets. Therefore, a 6 degrees of freedom lumped parameter system of powertrain and mounts is modelled in Matlab®. The approach is to decouple the torque roll axis mode from the remaining five rigid body modes so that the response to the torque pulses is predominantly ‘oscillations about Torque Roll Axis’. This is achieved by optimizing the above mount parameters within specified constraints so that ‘Rotation about the torque roll axis’ is one of the natural modes of vibration. The tool developed here uses ‘Particle Swarm Optimization(PSO) algorithm’ because of its ease of implementation and better convergence to the solution. The algorithm is programmed in TK solver®.

A parallel flow concentric tube heat exchanger is designed to recover exhaust heat by using the exhaust pipe as the tube side and the concentric tube as the shell side. The heat exchanger which is also called the primary heat exchanger is welded concentrically to the intermediate exhaust pipe forming a double pipe heat exchanger. The shell side pipe consists of Cold Water inlet and Hot Water outlet, while the tube side pipe carries the hot exhaust gases. The water flowing in the shell side gets heated due to conduction and convection and is circulated through the Hot Water outlet to produce Hot Water on demand. The same Hot Water is simultaneously circulated to the annular chamber of the secondary heat exchanger, thereby transferring the heat to the Hot Box.