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Current focus on techniques to reduce the tailpipe carbon dioxide (CO₂) emissions of road vehicles is increasing the interest in hybrid and electric vehicle technologies. Pure electric vehicles require bulky, heavy, and expensive battery packs to enable an acceptable drivable range to be achieved. Extended-range electric vehicles (E-REVs) partly overcome the limitations of current battery technology by having an onboard fuel converter that converts a liquid fuel, such as gasoline, into electrical energy whilst the vehicle is driving. Thus enabling the traction battery storage capacity to be reduced, whilst still maintaining an acceptable vehicle range. This paper presents results from a drive style analysis toolset that enable US and EU fleet vehicle drive data to be categorized and compared. Key metrics, such as idle frequency, idle duration, vehicle speed, and vehicle acceleration are analyzed.

The US is generally considered as the most critical market for emissions and On Board Diagnostics (OBD). Effective calibration of OBD monitors to meet legal and robustness requirements, whilst simultaneously achieving the In Use Monitor Performance Ratio (IUMPR) targets, requires an understanding of real world driving behavior. Failure to achieve the legal minimum fleet average IUMPR could result in a product recall in the US. The planned implementation of IUMPR into Europe for EUV+ makes the understanding of customer drive patterns in the US and EU even more critical. This paper outlines the development of a drive style analysis toolset that defines key metrics, which enable US and EU fleet vehicle drive data to be categorized and compared. The toolset objectively quantifies driving behavior into drive type and drive style. Drive type is simply the recognition of US and EU road infrastructure.

Recent developments in diesel engine technologies have led to considerable emissions and performance improvements, however the task to calibrate the increased degrees of freedom is challenging and complex. There is a requirement for improved experimental and data processing approaches that simplify and accelerate the calibration procedure. This paper presents an approach that simplifies the analysis of a six factor experimental system, where the settings for a multiple injection strategy, exhaust gas recirculation and boost pressure have all been investigated. Design of Experiments (DoE) and optimization techniques have been integrated and applied at five speed and torque conditions, in order to define calibration changes that meet various constraint criteria. The calibration changes determined at these sites have been extrapolated over the region of the operating map covered in the New European Drive Cycle.