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In this work, a parallel full Hybrid Electric Vehicle (HEV) was optimized to further lower its carbon footprint without opting for any additional hardware change. The study was focused to first recognize the system efficiency of the HEV and identify its low efficiency points over the MIDC. Thereafter, different functions of the HEV were studied for their individual and cumulative contribution in the fuel economy improvement over the base non-hybrid vehicle. This, along with the low system efficiency points helped in identifying the potential areas for improvement in fuel economy. With changes in calibration and control strategies resulting in an optimal torque handling between the E-machine and the ICE, it was established through simulation and subsequent experiments conducted on chassis dynamometer, that the fuel economy of the HEV tested can be improved with the performance remaining unchanged and emissions meeting regulatory requirements.

In this paper, a mild hybrid system is studied for Indian drive conditions. The study is focused to first come up with detailed component sizing through simulation. Different features of mild hybrid system are studied for their individual and cumulative contribution in the fuel economy improvement over the base non-hybrid vehicle. Model based development approach has been employed to develop a supervisory control strategy for such a system. Model based design saves time and cost as it gives flexibility to the control engineer to validate the control design at an early stage of development. The supervisory control strategy is first tested in a simulated environment and then, on a vehicle. To prove the system function, a full hybrid vehicle is experimented as a mild hybrid configuration. Experiments are conducted on the test vehicle over MIDC (certification cycle) to understand the impact of mild hybridization on fuel economy and tail pipe emissions

In this study, an alternate way of development and implementation of control strategy for torque split of a Hybrid Electric Vehicle (HEV) is proposed. The control strategy evaluates each and every operating point for Internal Combustion Engine (ICE) and electric motor-generator (E-machine) corresponding to all possible torque split combinations at present time instant and finally chooses one combination with the least cost function, which is estimated by converting electrical energy into equivalent fuel consumption[2]. Henceforth, the control strategy is able to perform real time iterations to choose the E-machine and ICE torque combinations with least effective fuel consumption also referred herein to as the optimal operating points. As a result, by running the vehicle at optimal operating points, overall fuel consumption over the complete drive cycle is reduced.