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Turbocharging dramatically improves the power density of internal combustion engines both in the compression ignition and the spark ignition cases. However, a standalone turbocharger suffers from transient and steady state downfalls where the energy to turbine is either smaller or larger than what would be needed to optimize the engine operation in a specific steady state or transient point. Hence a concept was proposed of a super-turbocharger where the turbocharger shaft is connected to the crankshaft through a continuously variable transmission and a gear. Energy is drawn from the crankshaft or delivered to the crankshaft to improve the work in every operating point of the steady map. In this paper, the concept of super-turbocharger is applied to a six-cylinder, dual fuel diesel injection ignition engine. The system is modelled using state-of-the-art automotive software and simulations of the steady-state operation are presented.

Increasing the efficiency and durability of internal combustion engines is one of the major concerns of engineers in the development of modern road vehicles. Emission legislations are becoming intensively strict each year, forcing manufacturers to deploy sophisticated engine control strategies. The engine coolant temperature is conventionally controlled with mechanical elements such as wax-thermostat and belt-driven mechanical water-pump, which result in engine temperature fluctuations and delayed response to variable inputs. Variable coolant temperature is beneficial; it can decrease the hydrodynamic frictional losses of lubricated engine parts in light duty conditions. Moreover it improves performance and protects engine parts from thermal stresses and sealing failure in heavy duty conditions. In this paper the feasibility of controlling coolant temperature is examined in different driver demand conditions using electric flow-control valve replacing conventional thermostat.

With the introduction of advanced digital road maps, which include information on the slope and curve radius of the highways, predictive control for standard and hybrid commercial vehicles, based on these maps, is about to be released by the vehicle manufacturers. For example, intelligent predictive cruise control has been announced for introduction in 2012 by Scania and Daimler. In addition, hybrid commercial city buses like MAN's Lion's City Hybrid have already been implemented. But the question remains about the type of vehicle suitable for the implementation of predictive intelligent concepts, due to the high investment cost compared to the sometimes relatively low operating cost savings.

Measurement accuracy and repeatability for fuel rate is the key to successfully improve fuel economy of diesel engines as fuel economy could only be achieve by precisely controlling air/fuel ratio and monitor real-time fuel consumption. The volumetric and gravimetric measurement principles are well-known methods to measure the fuel consumption of internal combustion engines. However, the fuel flow rate measured by these methods is not suitable for either real-time control or real-time measurement purposes. The problem concerning discontinuous data of fuel flow rate measured by using an AVL 733s fuel meter was solved for the steady state scenario by using neural networks. It is easier to choose inputs of the neural networks for the steady state scenario because the inputs could be chosen as the particular inputs which excited the system in the application.