Vehicle Parameter and Electric Powertrain Efficiency Analysis Using Real-Driving Data

With the conversion from Internal Combustion Engine Vehicles (ICEV) to Battery Electric Vehicles (BEV) mainly promoted by CO2 emission targets, innovative powertrain concepts arose in the automotive industry. Original Equipment Manufacturers (OEMs) practice the socalled benchmarking to identify technological potentials in their competitor’s concepts and reduce their development costs by focusing on the best-performing technologies in the electric vehicle market. In contrast, these analyses mean significant expenses in terms of time and cost. Especially on vehicle level, preparing the vehicles for dynamometer tests and performing multiple test series on these test benches require high personnel and time capacities. In this work, we present a methodology that reduces the effort of benchmarking analyses on vehicle level by substituting dynamometer tests. This methodology describes the identification of vehicle parameters and the analysis of the electric powertrain’s efficiency. With no manipulation of the vehicle’s structure and low-cost test equipment, data is recorded on public roads during real-driving scenarios, demonstrating our procedure's simplicity and universal application. With the obtained vehicle parameters (i.e. Road Load Coefficients (RLCs), rolling and air resistance) and the electric powertrain’s efficiency map, we enable the parametrization of simulation models for further analyses. We validate our methodology based on tests performed on closed test tracks and a vehicle dynamometer.