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A Range-Extended Electric Vehicle (REEV) usually has an auxiliary power source that can provide additional range when the main Rechargeable Energy Storage System (RESS) runs out. The range extender can be a fuel cell, a gas turbine, or an Internal Combustion Engine (ICE) bolted to a generator. Sizing the powertrain for a REEV is primarily to investigate the relationship between the capacity of the main RESS and the power rating of the range extender. Worldwide harmonized Light vehicles Test Procedures (WLTP) introduced a Utility Factor (UF) which is a curve used to calculate the weighted test results for the Off-Vehicle Charging-Hybrid Electric Vehicle (OVC-HEV) from the measured Charge Depleting (CD) mode range result, and the Charge Sustaining (CS) mode Fuel Consumption (FC). Therefore, the RESS capacity, the range extender power rating, the control strategy, and the UF are the key factors affecting the weighted FC of a REEV on the test cycle.

The aim of this study is to evaluate the Fuel Economy (FE) over the driving cycle for a 48 Volt P2 technology vehicle with different component ratings (battery and electric machine) in the hybrid powertrain, using simulation and Design of Experiments (DoE) tools. The P2 architecture was selected for this study based on an initial assessment of a wide number of possibilities, using the Ricardo “Architecture Independent Modelling (AIM)” toolset. This allows rapid evaluation of different powertrain options independently of a defined hybrid control strategy. For the vehicle with P2 architecture, a DoE test matrix of battery capacity and electric machine power rating was created. The test matrix was then imported into the simulation environment to perform the driving cycle FE simulations. Then, a 48 V P2 Hybrid Electric Vehicle (HEV) FE emulator model was created and interrogated using model visualisation and optimisation methods.

Understanding the behavior of automotive catalysts formulations under the wide range of conditions characteristic of automotive applications is key to the design of present and future emissions control systems. Platinum-based oxidation catalysts have been in use for some time to treat the exhaust of diesel-powered vehicles and have, as part of an emissions control package, successfully enabled compliance with emissions legislation. However, progressively stringent legislated limits, coupled with the need to reduce vehicle manufacturing costs, is incessantly demanding the development of new and improved catalyst formulations for the removal of pollutants in the diesel exhaust. With the introduction of low sulfur diesel fuel, and the advantageous decline in Palladium prices with respect to Platinum, bimetallic Pt:Pd-based catalysts have found an application in diesel after treatment.

With the aim of reducing CO2 emissions, several solutions exist presenting different performances and costs. Hybrid electric vehicle is one of the most efficient solutions and lead to fuel consumption and CO2 emissions reduction of 10 to 60 % compared to conventional vehicle and depending on the level of hybridisation and the considered speed cycle. In the context of the European project Hi-CEPS (Highly integrated Combustion Electric Propulsion System), several thermal management solutions have been investigated with the aim of increasing the global vehicle efficiency and tackling hybrid-vehicle-specific cabin comfort challenges such as cabin heating. Intermittent operation of the engine in a hybrid electric vehicle (Stop & Start, pure electric vehicle mode) has detrimental effects on engine and cabin warm-up.

The HyTrans project is a collaborative development of a micro hybrid demonstrator vehicle based on an urban delivery van. The project partners consist of Ricardo, Ford, Gates and Valeo and the project is co-funded by the UK Energy Savings Trust under the New Vehicle Technology Fund. A concept study analysis has been performed for an urban delivery van in order to identify the impact of different cost efficient belt driven micro hybrid concepts on fuel consumption performance over representative real world delivery driving conditions.