Server Estimating Charging Station Positions via Vehicle Data
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Solution Overview
Problem
Existing systems fail to quickly and accurately reflect the position of newly installed charging stations on maps without relying on specific operators, leading to delayed updates and incomplete information for electric vehicles.
Innovation Solution
An information processing server that receives data from vehicles, estimates the position of charging stations using sensor information, and provides this information to be reflected on map data, with a confirmation process to ensure accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If charging station positions are collected by specific operators and reflected on maps, then data accuracy is improved, but the speed of updating and device complexity increase
Solution Approach 1:
The system enables vehicles to automatically detect and report charging station positions without operator intervention. Vehicles autonomously collect position information through sensors and communication units, then transmit this data to the server for map updates, eliminating the need for manual data collection while maintaining accuracy through multiple vehicle confirmations.
Solution Approach 2:
The server receives position information from multiple vehicles, compares the data, and confirms charging station positions through feedback mechanisms. When multiple vehicles report the same charging station position, the server validates and updates the map information, ensuring accuracy while accelerating the update process through automated cross-verification.
2Reliability
If charging station positions are collected by specific operators, then data reliability is improved, but time consumption and operational complexity increase
Solution Approach 1:
Vehicles continuously collect and pre-process charging station position information during normal operation, storing it in their storage units. This preliminary data collection occurs automatically without requiring operator time, and the pre-collected data is ready for immediate transmission and validation when needed, significantly reducing the time required for map updates.
Solution Approach 2:
The system performs automated validation and confirmation of charging station positions through multiple vehicle reports. The server cross-checks position data from different vehicles, automatically confirms reliable positions, and updates maps without operator involvement, maintaining high reliability while eliminating manual data collection time.
3Loss of information
If manual operator collection is used for charging station positions, then information accuracy is improved, but automation level and efficiency decrease
Solution Approach 1:
Vehicles autonomously detect charging station positions using their sensors and communication units, then automatically transmit this information to the server. The system self-manages the entire data collection, validation, and map update process without operator intervention, achieving high automation while maintaining information completeness through multiple vehicle contributions.
Solution Approach 2:
The server implements automated feedback loops where it receives position data from multiple vehicles, validates the information through cross-verification, and confirms charging station positions on the map. This automated feedback mechanism ensures information completeness and accuracy while maintaining high levels of automation throughout the entire process.
Data Source
AI summary
An information processing server comprises: a receiver that receives, from a vehicle chargeable from an outside, predetermined information of the vehicle; a memory; and at least one processor or circuit which functions as: an estimation unit configured to estimate, based on the predetermined information received from each of a plurality of vehicles, a position of a charging station used to charge the vehicle; and a providing unit configured to provide information of the estimated position of the charging station such that the estimated position of the charging station is reflected on map information.


