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)
Contents
- 1 Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 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
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Torque Curve Prediction
- 1.13 Original Abstract Submitted
Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle
Organization Name
Inventor(s)
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.
