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Vehicles equipped with Automated Manual Transmissions (AMT) for gear shift control show many advantages in terms of reduction of fuel consumption and improvement of driving comfort and shifting quality. In order to increase both performance and efficiency, an important target is focused on the minimization of the typical torque interruption during the gear shift, especially in front of the conventional automatic transmission. Recently, AMT are proposed to be connected with planetary gears and friction brakes, in order to reduce the torque gap during the gear change process. This paper is focused on a block-oriented simulation methodology developed in Matlab/Simulink/Stateflow® environment, able to simulate the performance of a complete FWD powertrain and in particular to predict dynamic performance and overall efficiency of the AMT with innovative Torque Gap Filler devices (TGF).

This paper deals with the development of a Lap Time Simulator in order to carry out a first approximate evaluation of the potential benefits related to the adoption of the Kinetic Energy Recovery System (KERS). KERS will be introduced in the 2009 Formula 1 Season. This system will be able to store energy during braking and then use it in order to supply an extra acceleration during traction. Different technologies (e.g. electrical, hydraulic and mechanical) could be applied in order to achieve this target. The lap time simulator developed by the authors permits to investigate the advantages both in terms of fuel consumption reduction and the improvement of the lap time.

Over the last decade the simulation of driving cycles through longitudinal vehicle models has become an important stage in the design, analysis and selection of vehicle powertrains. This paper presents an overview of existing software packages, along with the development of a new multipurpose driving cycle simulator implemented in the Matlab/Simulink environment. In order to evaluate the performance of the simulator, a MAN TGL 12.240 multi-usage delivery vehicle was fitted with a CAN-bus data logger and used to create a series of ‘real-life’ drive cycles. These were inputted into the vehicle model and the simulated fuel mass flow-rate and engine rotational speed were compared to those experimentally obtained.