Real Driving Database for Automotive Drive System Development

Knowledge of real-world driving behavior is fundamental to the development of drive systems. The derivation of representative requirements or driving cycles for use case-specific vehicle use allows a customer-centered drive system design. These datasets contain data such as distance, standstill times, average accelerations or a customer driving style estimation. In addition, the real-world data can be used for regulatory purposes such as the definition of utility factors or the definition of real driving emission cycles. In a research project funded by FVV e.V., we have developed a universal database software including data storage, user interface and general data plausibility functions for real driving data. The database contains detailed time series measurement data on component and vehicle level such as torque and speed of electric motors and internal combustion engines as well as general mobility data such as driving distance statistics. A key objective of the database development is generalization to ensure industry-wide applicability of the data for OEMs and suppliers as well as regulatory authorities and research institutions. In this paper we will present the database development, the database structure, its functionalities and application possibilities as well as the included publicly available data within the database. Based on the current data, we perform a statistical analysis of customer operations and discuss the applications of these data for drive system concept optimization and engine dynamometer testing.