Abstract

Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles. The fuel economy and emission performance of hybrid electric vehicles (HEVs) strongly depends on the energy management system (EMS). Prior knowledge of driving information could be used to enhance the performance of a HEV. However, how the necessary information can be obtained to use in EMS optimisation still remains a challenge. In this paper the effect of driver style and driving events like city and highway driving on plug in hybrid electric vehicle (PHEV) energy demand is studied. Using real world driving data from three drivers of very different driver style, a simulation has been exercised for a given route having city and highway driving. Driver style and driving events both affect vehicle energy demand. In both driving events considered, vehicle energy demand is different due to driver styles. The major part of city driving is reactive driving influenced by external factors and driver leading to variation in vehicle speed and hence energy demand. In free highway driving, the driver choice of cruise speed is the only factor affecting vehicle energy demand.

Highlights

  • Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles

  • This paper focuses on the effect of driver style and driving events on energy management system (EMS) optimisation for hybrid electric vehicles (HEVs)

  • Audi Duo is converted to a plug-in HEV (PHEV) of parallel architecture to study the vehicle energy demand by simulation

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Summary

Introduction

Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles. Fuel economy and emission performance of hybrid electric vehicle (HEV) strongly depends on the energy management system (EMS). Vehicle speed - time data is referred as drive cycle. Driver has own characteristic way in driving vehicle like starting, stopping and cruising. In the process they can be efficient, inefficient, aggressive and calm. The variation in vehicle performance due to the driver behaviour is called as driver style

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