View source for 18533965. Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle simplified abstract (Robert Bosch GmbH)

=Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle=


==Organization Name==

[[:Category:Robert Bosch GmbH|Robert Bosch GmbH]]


[[Category:Robert Bosch GmbH]]

==Inventor(s)==

[[:Category:Juergen Stegmaier of Wannweil (DE)|Juergen Stegmaier of Wannweil (DE)]][[Category:Juergen Stegmaier of Wannweil (DE)]]

==Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18533965 titled 'Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle

==Simplified Explanation==
This patent application describes a method for predicting future extreme values in the torque curve of a vehicle, such as an E-bike, by analyzing torque values at different points in time and predicting future extreme values based on elapsed time and pedal angle.

==Key Features and Innovation==
* Analyzing torque values at various points in time.
* Determining extreme values in the torque curve.
* Measuring elapsed time and pedal angle.
* Predicting future extreme values based on period duration and measured time/angle.

==Potential Applications==
This technology can be applied in the automotive industry for predicting extreme values in torque curves of vehicles, optimizing performance and efficiency.

==Problems Solved==
This technology addresses the need for predicting future extreme values in torque curves, allowing for better performance tuning and maintenance of vehicles.

==Benefits==
* Improved performance tuning.
* Enhanced efficiency.
* Better predictive maintenance.

==Commercial Applications==
* Automotive industry for vehicle performance optimization.
* E-bike manufacturers for enhancing efficiency and performance.

==Prior Art==
Researchers can explore prior patents related to torque curve prediction in vehicles to understand the existing technology landscape.

==Frequently Updated Research==
Stay updated on advancements in predictive maintenance technologies in the automotive industry for potential improvements in torque curve prediction methods.

==Questions about Torque Curve Prediction==
===How does this technology benefit vehicle performance?===
This technology helps optimize vehicle performance by predicting future extreme values in the torque curve, allowing for better tuning and maintenance.

===What are the potential applications of this method beyond E-bikes?===
This method can be applied in various vehicles to predict extreme values in torque curves, enhancing performance and efficiency.


==Original Abstract Submitted==

A method for predicting a point in time of a future extreme value in a torque curve of a vehicle, in particular a single-track vehicle such as an E-bike includes (i) ascertaining a torque value at several points in time, (ii) determining an extreme value of the ascertained torque values at any point in time, (iii) measuring an elapsed time and/or an angle travelled by a pedal of the vehicle since the point in time at which the extreme value was determined, (iv) ascertaining a period duration of the torque curve, and (v) predicting at least one point in time of a future extreme value based on the ascertained period duration and the measured time and/or the angle travelled.



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