Robert bosch gmbh (20240208610). Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle simplified abstract
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 Questions about Predictive Torque Analysis
- 1.11 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 20240208610 titled 'Method for Predicting the Point in Time of a Future Extreme Value in a Torque Curve of a Vehicle
Simplified Explanation
The 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.
- Ascertaining 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
Key Features and Innovation
- Method for predicting future extreme values in a vehicle's torque curve
- Utilizes torque values at different points in time for analysis
- Factors in elapsed time and pedal angle for accurate predictions
- Helps in optimizing vehicle performance and efficiency
Potential Applications
- Electric bikes and other single-track vehicles
- Automotive industry for performance optimization
- Sports vehicles for enhancing power delivery
Problems Solved
- Predicting future extreme values in torque curves
- Improving vehicle performance and efficiency
- Enhancing user experience and safety
Benefits
- Optimized vehicle performance
- Efficient power delivery
- Enhanced safety and user experience
Commercial Applications
- "Predictive Torque Analysis for Enhanced Vehicle Performance"
- Potential commercial uses in electric bike manufacturing
- Market implications in the automotive industry for performance optimization
Questions about Predictive Torque Analysis
How does this method benefit electric bike manufacturers?
This method helps electric bike manufacturers optimize performance and efficiency by predicting future extreme values in the torque curve, leading to better power delivery and user experience.
What are the potential applications of this technology beyond e-bikes?
This technology can be applied in various single-track vehicles, sports vehicles, and the automotive industry for performance optimization and power delivery enhancement.
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.
