Search Results

Using measurable physical input variables, an implementable control algorithm for parallel architecture plug-in and non-plug-in hybrid electric vehicle (PHEV and HEV) powertrains is presented. The control of the electric drive is based on an algebraic mapping of the accelerator pedal position, the battery state-of-charge (SOC), and the vehicle velocity into a motor controller input torque command. This mapping is developed using a sequential linearization control (SLC) methodology. The internal combustion engine (ICE) control uses a modified accelerator pedal to throttle plate angle using an adjustable gain parameter that, in turn, determines the sustained battery SOC. Searches over an admissible control space or the use of pre-defined look-up tables are thus avoided. Actual on-road results for a Ford Explorer with a through-the-road (TTR) hybrid powertrain using this control methodology are presented.

The objective of this paper is to estimate characteristics parameters of two wheeler powertrain with simulated vehicle model. The evaluation is applied to define required characteristics for future motor integrated powertrain. The main parameters for the characteristics matrix are Fuel consumption and NOx gas emission. In the 1st phase of work, a mathematical model for the complete powertrain is developed using suitable modelling approach for different sub-modules of the complete system. The objectives of the model are, to simulate dynamic power-flow from the engine to wheel and to simulate NOx gas emission. The powertrain model consists of a carburetted spark ignition (S.I) engine and gear transmission system. The S.I engine model is capable of simulating dynamic torque output of engine as well as the NOx gas emission. The model is experimentally compared with available test data of production ready engine from TVS Motor Company, India.