Abstract
Training and test data for vehicle state estimator optimization and validation are included as MATLAB-files. The data was captured with the all-wheel drive electric vehicle “BugEE” of the Otto-von-Guericke-University Magdeburg and IKAM GmbH during different severe driving maneuvers on wet and dry road surfaces. Training data contains: Acceleration on wet road surface, slalom on wet road surface, steady state circular driving on dry road surface. Test data contains: Acceleration and emergency evasion on wet road surface, steady-state circular driving and slalom on dry road surface. Furthermore, results shown in “Optimization-Based Tuning of a Hybrid UKF State Estimator with Tire Model Adaption for an All Wheel Drive Electric Vehicle” are included.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
