Company Filing History:
Years Active: 1989
Title: Innovations by Harald Krempel
Introduction
Harald Krempel is a notable inventor based in Schwieberdingen, Germany. He has made significant contributions to the field of fuel metering systems, particularly in internal combustion engines. His innovative approach addresses critical challenges in fuel management, showcasing his expertise and dedication to advancing technology.
Latest Patents
Krempel holds a patent for a "Method for compensating for a tank venting error in an adaptive learning." This invention focuses on a method that compensates for tank venting errors in a learning fuel metering system. The system is designed to meter the required fuel quantity to an internal combustion engine. The method involves performing lambda correction with adaptively learned precontrol values during tank venting phases. This allows for the learning of disturbing quantities introduced by tank venting. The learned values are stored in separate memory locations based on whether they were determined during basic adaptation or during adaptation with tank venting. These values are then used as precontrol corrective values in lambda control, enhancing the accuracy of fuel metering.
Career Highlights
Krempel is associated with Robert Bosch GmbH, a leading company in automotive technology and engineering. His work at Bosch has allowed him to contribute to various innovative projects, particularly in fuel management systems. His expertise in adaptive learning methods has positioned him as a valuable asset in the field.
Collaborations
Throughout his career, Krempel has collaborated with esteemed colleagues such as Werner Jundt and Rudolf Moz. These collaborations have fostered an environment of innovation and have led to advancements in their respective fields.
Conclusion
Harald Krempel's contributions to fuel metering technology exemplify the impact of innovative thinking in engineering. His patent reflects a commitment to improving internal combustion engine efficiency, showcasing the importance of adaptive learning in modern fuel management systems.