18455846. CHARGING PREDICTION SYSTEM simplified abstract (SUBARU CORPORATION)

From WikiPatents
Jump to navigation Jump to search

CHARGING PREDICTION SYSTEM

Organization Name

SUBARU CORPORATION

Inventor(s)

Satoshi Inoue of Tokyo (JP)

Hayata Mimatsu of Tokyo (JP)

Yasushi Takagi of Tokyo (JP)

CHARGING PREDICTION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18455846 titled 'CHARGING PREDICTION SYSTEM

Simplified Explanation

The patent application describes a charging prediction system that predicts the waiting period for vehicles to start charging at a charging station based on the charged vehicle ratio data.

  • The system includes vehicles, a charging station, and a control device with processors and memories.
  • The processors accumulate actual data on the charged vehicle ratio for vehicles traveling along a specific road.
  • Based on this data, the system predicts the charged vehicle ratio for vehicles in a predetermined group on the same road.
  • It also predicts the waiting period to start charging at the station based on these predicted ratios.

Potential Applications

This technology could be applied in electric vehicle charging infrastructure to optimize charging station usage and reduce waiting times for users.

Problems Solved

1. Predicting waiting periods for charging can help manage congestion at charging stations. 2. Providing accurate predictions can improve user experience and reduce frustration.

Benefits

1. Efficient use of charging stations. 2. Reduced waiting times for users. 3. Improved overall user experience.

Potential Commercial Applications

Optimizing charging station operations for electric vehicle fleets.

Possible Prior Art

There may be prior art related to predictive analytics in transportation systems or smart grid technologies that could be relevant to this charging prediction system.

Unanswered Questions

How does this technology handle variations in charging patterns throughout the day?

The system may need to incorporate real-time data on traffic and charging demand to adjust predictions accordingly.

What measures are in place to ensure data privacy and security in this system?

It is essential to address concerns about the collection and storage of sensitive vehicle and charging data to protect user privacy.


Original Abstract Submitted

A charging prediction system includes vehicles, a charging station, and a control device including one or more processors and one or more memories. The one or more processors are configured to execute a process. The process includes accumulating, in a storage device, record data that is actual data on a charged vehicle ratio for a first remaining traveling distance of each of the vehicles traveling along a specific traveling road. The process includes deriving, based on the record data, a predicted value of the charged vehicle ratio for each vehicle in a predetermined group including ones of the vehicles currently traveling along the specific traveling road. The process includes deriving a predicted waiting period that is a predicted value of a waiting period to a start of charging at the charging station based on the predicted values of the charged vehicle ratios.