This paper presents an analysis of the actual electric energy consumption of a battery electric vehicle (BEV) passenger car under real-world operating conditions, using a road test performed in accordance with the Real Driving Emissions (RDE) procedure. The aim of the study is to determine the impact of urban, rural and motorway traffic on the energy efficiency of BEVs, expressed in mileage-based electric energy consumption. In the experimental studies, using the case study method, various methods of measuring mileage-based electric energy consumption were compared, including an analysis of data read from the on-board diagnostic network and calculations based on the capacity of the traction battery and the amount of electric energy consumed from the power grid, related to the mileage covered by the vehicle, as well as data obtained from the Global Positioning System (GPS). In the study three types of routes were analysed: urban (characterised by frequent changes in traffic phases separated by periodic stops), rural (more fluid, with a higher average speed) and motorway (with predominantly high speed and aerodynamic drag). For each of these scenarios, the average electric energy consumption was determined and the average travel speeds were calculated, which were used to compare the energy consumption of an electric passenger car under different traffic conditions Conducting the analysis made it possible to identify differences in energy consumption between traffic types, confirming the influence of the speed profile on the RDE teste results. A proposal was also presented to modify the RDE cycle procedure to include correction factors for different types of routes, allowing for a more accurate estimation of actual electric energy consumption in relation to type-approval data. The research outcomes can be applied to improve the accuracy of range estimation algorithms, support the development of more representative driving cycles, and guide policymakers in refining type-approval procedures by introducing correction factors for different traffic conditions. In the article the need for further research on the impact of external conditions and individual driver habits on the energy consumption of electric passenger cars was emphasized.

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The Impact of Road Conditions on Energy Consumption in the Electric Drive System of a Passenger Car – Experimental Analysis in the RDE Cycle

  • Maciej Sproch,
  • Mariusz Graba,
  • Krystian Hennek,
  • Jarosław Mamala

摘要

This paper presents an analysis of the actual electric energy consumption of a battery electric vehicle (BEV) passenger car under real-world operating conditions, using a road test performed in accordance with the Real Driving Emissions (RDE) procedure. The aim of the study is to determine the impact of urban, rural and motorway traffic on the energy efficiency of BEVs, expressed in mileage-based electric energy consumption. In the experimental studies, using the case study method, various methods of measuring mileage-based electric energy consumption were compared, including an analysis of data read from the on-board diagnostic network and calculations based on the capacity of the traction battery and the amount of electric energy consumed from the power grid, related to the mileage covered by the vehicle, as well as data obtained from the Global Positioning System (GPS). In the study three types of routes were analysed: urban (characterised by frequent changes in traffic phases separated by periodic stops), rural (more fluid, with a higher average speed) and motorway (with predominantly high speed and aerodynamic drag). For each of these scenarios, the average electric energy consumption was determined and the average travel speeds were calculated, which were used to compare the energy consumption of an electric passenger car under different traffic conditions Conducting the analysis made it possible to identify differences in energy consumption between traffic types, confirming the influence of the speed profile on the RDE teste results. A proposal was also presented to modify the RDE cycle procedure to include correction factors for different types of routes, allowing for a more accurate estimation of actual electric energy consumption in relation to type-approval data. The research outcomes can be applied to improve the accuracy of range estimation algorithms, support the development of more representative driving cycles, and guide policymakers in refining type-approval procedures by introducing correction factors for different traffic conditions. In the article the need for further research on the impact of external conditions and individual driver habits on the energy consumption of electric passenger cars was emphasized.