Objectives and problems to be solved: The primary aim of this project is to develop novel, microscopic simulation techniques, which will enable accurate predictions of vehicle tail pipe emissions over any duty cycle, with particular focus on achieving high accuracy over transient operating conditions. Description of work:
To achieve the objectives stated, the project will be structured into a number of specific work programmes. Initially a parametric analysis will be performed which will identify the major vehicle, sub-system and operating parameters that affect the measurement and prediction of vehicle emissions and energy consumption. From this study a number of designed experiments will be formulated which will be structured to ensure the subsequent data acquisition process and model definition will identify the interaction of these parameters. Accurate data will be essential to the validation and correlation of the simulation program, particularly during transient operation. Therefore a number of 'control' vehicles will be selected for characterisation, with tail pipe emissions and energy consumption being measured under controlled experiments over standard test cycles and typical urban routes. This activity will generate the necessary transient modelling algorithms and data sets which will be then integrated into an existing vehicle simulation tool. Using the 'control' vehicle data set from the data acquisition, vehicle simulations will be run and analysed with the aim of correlating simulation results to the measured tail pipe emissions and fuel consumption measurements. To establish the applicability of the simulation tool to a generic set of end-use technologies, the correlation activity will be extended by measuring and simulating a number of 'non-controlled' vehicles (i.e. non-characterised) over typical urban routes. Through designed experiments, the project will establish the key functional parameters (& their interactions) which affect the dynamics of tail pipe emissions. Transient vehicle & subsystem models will be generated and validated by state of the art emissions measurement techniques. Expected results and exploitation plans: By utilising existing dispersion and traffic models the project will illustrate through comparative assessment how transient vehicle operation can cause significant effects in emissions (including carbon dioxide) and, how affective decision making about a vehicle's use can be tailored to meet air quality targets.
Funding SchemeCSC - Cost-sharing contracts
43710 Santa Oliva
223 62 Lund