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In today’s scenario, the emission norms are getting stringent day by day due to an increased level of pollution. The world is shifting towards low carbon footprint which made it necessary to adopt efficient technologies with fewer emissions. The hybridization of vehicles has resulted in improved efficiency with lower emissions which can fulfil the near future emission norms. Retrofitting of hybrid components into a conventional IC engine vehicle is so far the best way to achieve better performance both economically and technologically. This research is primarily focused on the design and development of a novel retrofit solution of P3x architecture for the light commercial vehicle. This retrofit solution is different from other hybrid solutions in terms of powertrain. It contains an innovative add-on powertrain along with the existing powertrain. This additional powertrain consists of a pair of helical gears followed by a chain and sprocket as a coupler for traction motor.

In the quest towards meeting stringent emission norms as well as robust performance requirements, there is an ever growing need to continually research into and develop high caliber engines. This necessitates handling huge amounts of generated test data that monitors a multitude of variables like engine speed, combustion chamber pressure, engine load and the like. Further, in order to establish the scalar engine performance parameters like efficiency, Brake Mean Effective Pressure, Indicated Mean Effective Pressure, P-V diagram, post processing is required to be done on the measured test data that involves complex calculations like numerical integration and other mathematical operations on a grand scale. In order to meet this objective, the authors hereby showcase a knowledge based algorithm that integrates and streamlines the entire procedure from handling of the huge test data to performing all the calculations in order to arrive at the scalar engine performance parameters.