18519645. CONTROL DEVICE FOR ELECTRIC VEHICLE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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CONTROL DEVICE FOR ELECTRIC VEHICLE

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Mai Nose of Toyota-shi (JP)

CONTROL DEVICE FOR ELECTRIC VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18519645 titled 'CONTROL DEVICE FOR ELECTRIC VEHICLE

Simplified Explanation

The control device described in the patent application utilizes machine learning to suppress vibration caused by torsional resonance of a drive shaft in an electric vehicle traveling on uneven roads. The device includes a processor and a storage device storing a learned model that predicts the vertical load of the drive shaft after a specified time. The processor uses this prediction to determine whether to increase or decrease the rotation speed of the motor based on road conditions.

  • The control device uses machine learning to suppress vibration caused by torsional resonance of a drive shaft in an electric vehicle.
  • The processor utilizes a learned model to predict the vertical load of the drive shaft after a specified time.
  • Based on this prediction, the processor adjusts the rotation speed of the motor to prevent slipping or gripping of the drive wheel on different road surfaces.

Potential Applications

This technology can be applied in electric vehicles to improve ride comfort and stability by suppressing vibration caused by uneven road surfaces.

Problems Solved

1. Vibration caused by torsional resonance of a drive shaft in electric vehicles traveling on uneven roads. 2. Maintaining stability and traction control by adjusting motor rotation speed based on road conditions.

Benefits

1. Enhanced ride comfort for passengers. 2. Improved stability and traction control for electric vehicles. 3. Efficient suppression of vibration without manual intervention.

Potential Commercial Applications

Optimizing electric vehicle performance and ride quality through advanced vibration suppression technology.

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 based on road conditions may be a novel aspect of this technology.

Unanswered Questions

How does the control device differentiate between road conditions to determine the appropriate correction in motor rotation speed?

The control device likely utilizes sensors to gather data on road surface conditions and wheel behavior to make real-time adjustments in motor rotation speed.

What is the impact of the vibration suppression control on the overall energy efficiency of the electric vehicle?

The vibration suppression control may have an impact on energy consumption due to adjustments in motor rotation speed, but the overall efficiency gains from improved stability and traction control could outweigh any potential increase in energy usage.


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.