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India has gone through a lot of transformation over the last decade. Today it is the 6th largest and one of the fastest growing economies in the world. Rising income level, increased consumerism, rapid growth in urbanization and digitization have attributed to this change. Government focus on “Make in India” for promoting trade and investment in India have ensured that India emerge as one of the largest growing economies in the world. The automotive industry played a pivotal role in the manufacturing sector to boost economic activities in India. The passenger car market has increased 3 times over the last decade and it has led to increased mobility options for many people across India. However, this has put concerns on the country’s energy security and emission levels. According to IEA’s recent report on global CO2 emission, 32.31 Gt of CO2 emissions were from fuel combustion in 2016, out of which transport sector contributed ~25%.

Changing customer preferences and market demands clubbed with environment protection norms have driven the use of advanced electronics in almost all the automobile systems. Automobile air conditioning, too, has marched a step forward with the introduction of “Automatic climate control systems” (popularly called “Automatic air conditioning”). Though the technical concept, per se, is already used widely in Room AC’s, it is only with the recent advancements in automotive electronics that it has found applications in the automotive air conditioning. A considerable number of vehicles in overseas markets are fitted with automatic climate control systems. India is not far behind as many of the high-end vehicles have built-in Automatic climate control systems. Maruti Udyog has taken the initiative in this direction by introducing “Automatic climate control” in its recently launched car.

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.

Powertrain Control development has gone through many changes in terms of process, tools and practice at all OEM's across the geography. This is mainly driven by increased number of powertrain components for control, shorter development schedules, cost control, and the need to realize the potential of electronic control to increase the performance, efficiency, safety and comfort. With the significant advancement in Powertrain Controls and additions of electronic functions, it has become imperative to automate the controller development process in the V-cycle to reduce the time and make the process more efficient while detecting any logic failures upfront at the early stage of the development cycle. Traditional practices and tools of defining the controls cannot meet new requirements. Model Based Design (MBD) approach is a promising solution to meet the critical needs of powertrain control engineering to define the control logic and validate.

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