Location History:
- Gerlingen, DE (2011 - 2013)
- Mehring, DE (2022 - 2023)
Company Filing History:
Years Active: 2011-2025
Title: Innovations by Erik Tonner in Fuel Injection Technology
Introduction
Erik Tonner is a notable inventor based in Gerlingen, Germany. He has made significant contributions to the field of fuel injection technology, holding a total of 7 patents. His work primarily focuses on utilizing machine learning methods to enhance the performance and efficiency of injection valves.
Latest Patents
Erik Tonner's latest patents include a method and device for training a data-based time determining model for determining an opening or closing time of an injection valve using a machine learning method. This innovative approach involves a computer-implemented method that trains a model based on sensor signals from the injection valve. The process includes providing an unlabeled analysis point time series and employing a consistency loss function during training.
Another significant patent is a method for operating a fuel injection valve with the aid of machine learning methods. This method determines the opening or closing time of the injection valve based on sensor signals. It utilizes both non-linear and linear data-based sub-models to obtain output vectors that help in accurately determining the timing for valve operation.
Career Highlights
Erik Tonner is currently employed at Robert Bosch GmbH, a leading company in automotive technology and engineering. His work at Bosch has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in fuel injection systems.
Collaborations
Throughout his career, Erik has collaborated with talented individuals such as Andreas Hopf and Frank Kowol. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in the automotive sector.
Conclusion
Erik Tonner's contributions to fuel injection technology through his innovative patents and collaborations highlight his role as a key inventor in the field. His work continues to influence advancements in automotive engineering, showcasing the importance of integrating machine learning with traditional engineering practices.