An investigation on the effect of driver style and driving events on energy demand of a PHEV

By Brahmadevan V. Padmarajan, Andrew McGordon, Paul A. Jennings. 2012

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.

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “methods, total number and meaning of driving style classes are predeﬁned beforehand. The vast majority of driving style recognition literature uses two [83], [213], [222], [223], [227] or three [234]–[236] classes. Representing driving style in a continuous domain is uncommon, but there are some stu”
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018, background): “A simplified approach for practical DS identification focuses on its influence over single figures, such as: fuel consumption [12] [22], average speed or range.”