Toyota jidosha kabushiki kaisha (20240174088). CONTROL DEVICE FOR ELECTRIC VEHICLE simplified abstract
Contents
- 1 CONTROL DEVICE FOR ELECTRIC VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTROL DEVICE FOR ELECTRIC VEHICLE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CONTROL DEVICE FOR ELECTRIC VEHICLE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
CONTROL DEVICE FOR ELECTRIC VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240174088 titled 'CONTROL DEVICE FOR ELECTRIC VEHICLE
Simplified Explanation
The patent application describes a control device for an electric vehicle that uses machine learning to suppress vibrations caused by torsional resonance of the drive shaft when traveling on uneven roads. The device predicts the vertical load of the drive shaft and adjusts the motor rotation speed accordingly to prevent slipping or gripping of the drive wheel.
- The control device includes a processor and a storage device.
- The storage device stores a learned model obtained through machine learning.
- The learned model predicts the vertical load of the drive shaft after a specified time.
- The processor performs vibration suppression control by adjusting the motor rotation speed based on the prediction result.
- The processor switches between speed-increasing correction and speed-decreasing correction to prevent slipping or gripping of the drive wheel.
Potential Applications
This technology can be applied in electric vehicles to improve ride comfort and stability by suppressing vibrations caused by uneven roads.
Problems Solved
This technology solves the problem of torsional resonance-induced vibrations in electric vehicles, which can lead to discomfort for passengers and reduced stability.
Benefits
The technology improves ride comfort, stability, and overall driving experience in electric vehicles by effectively suppressing vibrations caused by torsional resonance.
Potential Commercial Applications
- Electric vehicle manufacturers can integrate this technology into their vehicles to enhance performance and customer satisfaction.
Possible Prior Art
There may be prior art related to vibration suppression systems in vehicles, but the specific application of machine learning to predict drive shaft loads and adjust motor rotation speed may be a novel aspect of this technology.
Unanswered Questions
How does the control device differentiate between slipping and gripping of the drive wheel?
The control device likely uses sensors to detect wheel slippage or grip, such as wheel speed sensors or accelerometers, to determine the appropriate correction to apply.
What is the impact of the speed-increasing and speed-decreasing corrections on overall vehicle performance?
The speed adjustments made by the control device may affect the vehicle's acceleration, handling, and energy efficiency, so it would be important to understand how these corrections impact the vehicle's overall performance.
Original Abstract Submitted
a control device includes a processor and a storage device, which stores a learned model learned through machine learning. the processor is configured to perform vibration suppression control for suppressing vibration caused by torsional resonance of a drive shaft when the electric vehicle is traveling on an uneven road. the learned model is a model that predicts a vertical load of the drive shaft after a specified time. in the vibration suppression control, the processor uses a prediction result obtained by the learned model to determine whether to perform speed-increasing correction or speed-decreasing correction and switches between the speed-increasing correction and the speed-decreasing correction to increase the rotation speed of the motor when the drive wheel is slipping on a road and decrease the rotation speed of the motor when the drive wheel is gripping the road.
