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Nitrogen oxides, collectively called NOx, from diesel vehicles are considered to be accumulated by particular area of roadsides, so-called "Hot-spot," and result in harmful influence to pedestrians and residents by roadsides. Japanese regulations over emissions of diesel vehicles have been tightened year by year and adopting regulations, emissions in mode test on chassis dynamometer or engine dynamometer have reduced. In this research, it was investigated the effect of introduce of transient mode test, Japanese JE05 mode, to NOx emission in real world and to roadside NOx pollution by road test using on-board measurement system. As test vehicles, 2 ton diesel vehicle which is adopted for Long Term Regulation (steady-state mode test, Diesel 31 mode test, 1998) and 3 ton diesel vehicle adopted for New Long Term Regulation (transient mode test, Japanese JE05 mode, 2005) with on-board measurement system was used.

An on-board measurement system that simultaneously measures road traffic, vehicle running conditions and exhaust emissions was installed in a diesel freight vehicle with two tons payload. Actual NOx mass emissions were compared with that measured in a typical test mode for urban cities on a chassis dynamometer. The frequency of vehicle accelerations in actual urban cities was found to exceed that of a typical test mode for urban cities on a chassis dynamometer, which resulted in increased NOx from actual running conditions compared with the typical test mode for urban cities. The dynamics of NOx emissions at an actual roadside was also analyzed. It was observed that NOx emission based on distance with an actual city route test was about two times higher than that of a free way route and a typical test mode for urban cities. The reason for high NOx with the city route was explained by the higher frequency of lower gears at which higher NOx is emitted.

In order to clarify the reason why NOx emissions factor becomes higher at vehicle acceleration at intersections etc, two freight vehicles, that have EGR system for the reduction of NOx, were tested by an on-board NOx measurement system. Higher NOx emissions factor was observed in operations in lower-gear operation for each vehicle. Since the engine speed change was higher in the operation of lower gears, NOx emissions characteristics were analyzed in view of engine torque, NOx mass emissions and EGR rate, considering engine speed change. It was found that lower-gear operations made the engine speed change higher and the EGR rate lower. This seems to be one of the factors to engender the intensive NOx pollution at roadsides.

A simulation study was conducted to examine the transition from SI combustion to HCCI combustion in a two-stroke free piston engine fuelled with propane. Operation of the free piston engine was simulated based on the combination of three mathematical models including a dynamic model, a linear alternator model and a thermodynamic model. The dynamic model included an analysis of the piston motion, based on Newton's second law. The linear alternator model included an analysis of electromagnetic force, which was considered to be a resistance force for the piston motion. The thermodynamic model was used to analysis thermodynamic processes in the engine cycle, including scavenging, compression, combustion, and expansion processes. Therein, the scavenging process was assumed to be a perfect process. These mathematical models were combined and solved by a program written in Fortran.

To adhere to stringent environmental regulations, SI (spark ignition) engines are required to achieve higher thermal efficiency. In recent years, EGR (exhaust gas recirculation) systems and lean-burn operation has been recognized as key technologies. Under such operating conditions, reducing CCV (cycle-to-cycle variation) in combustion is critical to the enhancement of overall engine performance. Flow-field CCV is one of the considerable factors affecting combustion in engines. Conventionally, in research on flow fields in SI engines, the ensemble average is used to separate the measured velocity field into a mean component and a fluctuation component, the latter of which contains a CCV component and a turbulent component. To extract the CCV of the flow field, previous studies employed spatial filter, temporal filter, and POD (proper orthogonal decomposition) methods.