Servers, vehicles, and communication control methods
By predicting the confidence level of when a vehicle connects to the power grid and dynamically adjusting the communication frequency, the problem of high communication costs when the server manages a large number of vehicles is solved, achieving accurate prediction and cost savings.
CN116582560BActive Publication Date: 2026-06-30TOYOTA JIDOSHA KK
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TOYOTA JIDOSHA KK
- Filing Date
- 2022-11-30
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
When a large number of vehicles are managed by a server, the excessive communication volume leads to increased communication costs, and existing technologies are unable to effectively reduce these costs.
Method used
By predicting the confidence level of the connection time between the vehicle and the power grid, the communication frequency with the vehicle is dynamically adjusted, and the communication frequency is reduced to decrease the amount of communication.
Benefits of technology
It effectively reduces communication costs, while improving the accuracy of connection timing prediction, reducing unnecessary data transmission, and saving communication expenses.
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Smart Images
Figure CN116582560B_ABST
Abstract
This invention relates to a server, a vehicle, and a communication control method. Each of a plurality of vehicles is configured to be capable of at least one of charging and discharging with the power grid when electrically connected to it. A vehicle management server includes: a communication device for acquiring data including location information of a target vehicle (not connected to the power grid) via communication; and a processor for determining the communication frequency for acquiring data from the target vehicle. The processor acquires data from the target vehicle. The processor predicts the connection time based on the acquired data using a time prediction model that predicts the connection time when the target vehicle can connect to the power grid based on the data from the target vehicle, and calculates a confidence level for the predicted connection time. The processor determines the communication frequency based on the confidence level.
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