Chinmaya Patil

Development and experimental validation of a control-oriented Diesel engine model for fuel consumption and brake torque predictions

This article describes the development and experimental validation of a control-oriented, real-time capable, Diesel engine instantaneous fuel consumption and brake torque model under warmed-up conditions with only two inputs: torque request and the engine speed and no other measurements. Such a model, with the capability of reliably and computationally efficiently estimating the aforementioned variables at both steady-state and transient engine-operating conditions, can be utilized in the context of real-time control and optimization of hybrid power train systems. Although Diesel engine dynamics are highly non-linear and very complex, by considering the Diesel engine and its control system, that is, engine control unit together as an entity, it becomes possible to predict the engine instantaneous fuel consumption and torque based on only those two inputs. A synergy between different modelling methodologies including physically based grey-box and data-driven black-box approaches were integrated in the Diesel engine model. The fuelling and torque predictions have been validated by means of experimental data from a medium-duty Diesel engine at both steady-state and transient operations, including engine start-ups and shutdowns.

Optimal control of hybrid electric vehicles with power split and torque split strategies: A comparative case study

In designing control strategies to optimize fuel consumption, driveability and other objectives for hybrid electric vehicles (HEVs), one can choose to use either power split or torque split as one of the control variables. While both approaches have been employed and documented, no systematic study has been reported that illuminates what implications this choice might have in terms of HEV performance, system robustness, and control strategy design and implementation complexity. This work aims to develop a case study that explores this degree of design freedom and to quantify any differences that this control design selection might impart on a given HEV architecture. Using a validated HEV model, we will derive optimal operating strategies using dynamic programming for two cases: one uses power split and other torque split. Performance metrics of fuel consumption as well as the computational complexity associated with the two different strategies will be assessed.

Development and Experimental Validation of a Control-Oriented Diesel Engine Fuel Consumption and Brake Torque Predictive Model for Hybrid Powertrain Control Applications

This paper describes the development and experimental validation of a control-oriented, real-time-capable, Diesel engine instantaneous fuel consumption and brake torque model under warmed-up conditions. Such a model, with the capability of reliably and computationally-efficiently estimating the aforementioned variables at steady-state and transient engine operating conditions, can be utilized in the context of real-time control and optimization of hybrid powertrains. The only two inputs of the model are the torque request and the engine speed. While Diesel engine dynamics are highly nonlinear and very complex, by considering the Diesel engine and its control system (engine control unit (ECU)) together as an entity, it becomes possible to predict the engine instantaneous fuel consumption and torque based on only the two inputs. A synergy between different modeling methodologies including physically-based grey-box and data-driven black-box approaches were integrated in the Diesel engine model. The fueling and torque predictions have been validated by means of FTP72 test cycle experimental data from a medium-duty Diesel engine at steady-state and transient operations.Copyright