Simulation Data for Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions
Alternative Titles
Resource Type
Simulation Data / Dataset
Creators / Authors
Date of Issue
2021-09-20
Publisher
University of Bayreuth
Collections
Abstract & Descriptions
Abstract
MDPI_MDFG_2021_09_17 contains all data of the 36 simulations with the vehicle model developed for the prediction of the Range of electric cars and trucks under Real-World Conditions. The vehicle model was developed at the University of Bayreuth, Chair of Measurement and Control Systems. The data format is MS_EXCEL.
Method Description
Technical Description
Subjects & Keywords
DFG Research Subject Areas
4 Engineering Sciences;
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering;
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering;
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering :: 407-04 Traffic and Transport Systems, Intelligent and Automated Traffic
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering;
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering;
4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering :: 407-04 Traffic and Transport Systems, Intelligent and Automated Traffic
OpenAIRE Fields of Science
Keywords
Battery Electric Vehicle (BEV); Electric Truck; Cruising Range; Real-world Conditions; Physical Model; Range Prediction; Consumption Shares; Recuperation; Rolling Resistance
How to cite
Simulation Data for Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions
2021-09-20, doi: 10.15495/do_ubt_2054