Stochastic Macroscopic Energy Consumption Model for Electric Vehicle Routing

Invited abstract in session WA-23: Electric Vehicle Routing, stream Green Logistics.

Area: Routing, Location, Logistics and Transportation

Wednesday, 8:30-10:00
Room: Building CW, ground floor, Room 028

Authors (first author is the speaker)

1. Bartlomiej Ohde
Department of Motor Vehicles and Road Transportation, Poznan University of Technology
2. Grzegorz Slaski
Institute of Motor Vehicles and Machines, Poznan University of Technology
3. Michal Maciejewski
Division of Transport Systems, Poznan University of Technology


Due to the limited range of electric vehicles (EV), accurate models of energy consumption are necessary for ensuring optimal operation of EV fleets. Because detailed microscopic models require speed profiles of high resolution, their use is limited to small optimization problems (combined with traffic microsimulation) or post-processing of registered floating car data (FCD). In real-life problems, however, when a limited amount of statistical data is available (e.g., average speed over time at each link in a road network), only macroscopic consumption models can be used for estimating the vehicles' state of charge over time and incorporating that information into the optimization model.

We propose a macroscopic model for EV energy consumption that takes the average speed driven on an urban link (typically, dozens to hundreds of meters long) and calculates the average consumed energy and its standard deviation. The model is made up of components that have physical interpretation, such as inertial force, rolling resistance and aerodynamic drag. The model was calibrated for the Nissan Leaf with FCD recorded in the Poznan agglomeration.

The model was added into the open-source MATSim simulation platform and tested on various simulation scenarios of dispatching and recharging electric taxis in Poznan.


Status: accepted

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