EV Battery Swap Routing via Charge and Destination Prediction
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Solution Overview
Problem
Users of replaceable battery sharing services face difficulties in finding and timing charging stations for battery replacement, leading to increased burden and inconvenience.
Innovation Solution
An information processing apparatus that acquires battery charge information and travel route data to predict travel routes and determine optimal charging stations for battery replacement, using map information to select suitable batteries based on predicted charge levels and travel distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for charging stations and determine timing for battery replacement, then users have control over the process, but user burden and inconvenience increase
Solution Approach 1:
The system enables automatic determination of charging stations and timing without requiring user intervention. The determination unit automatically identifies suitable charging stations based on vehicle position, travel destination, and battery charge level, eliminating the need for users to manually search and decide when to replace batteries.
Solution Approach 2:
The information processing apparatus acts as an intermediary between the user and the charging station network. It processes multiple factors including vehicle position, destination, battery charge level, and charging station information to automatically determine the optimal charging station, shielding the user from complex decision-making.
2Ease of operation
If the system automatically determines charging stations based on multiple factors, then user convenience improves, but system complexity increases
Solution Approach 1:
The system divides the complex determination process into distinct functional units: an acquisition unit that gathers necessary information, a determination unit that processes the information, and a notification unit that communicates results. This segmentation manages complexity by organizing functions into modular components.
Solution Approach 2:
The information processing apparatus performs multiple functions including acquiring vehicle position and battery information, determining optimal charging stations, and notifying users. This multi-functionality consolidates various tasks into a single system, managing overall complexity while providing comprehensive service.
3Measurement precision
If the system considers multiple factors including travel destination and battery charge level, then determination accuracy improves, but information processing requirements increase
Solution Approach 1:
The system performs preliminary acquisition of all necessary information including vehicle position, travel destination, battery charge level, and charging station locations before making the determination. This preliminary gathering of data ensures accurate determination while organizing information processing in an efficient sequence.
Data Source
AI summary
An information processing apparatus includes an acquirer that acquires first information indicating a remaining charge of a first battery that is detachably mounted in an electric vehicle and supplies electric power for traveling of the electric vehicle and second information regarding a destination of the electric vehicle, a travel route predictor that predicts a travel route of the electric vehicle based on the second information acquired by the acquirer, and a determiner that refers to map information indicating, on a map, positions of a plurality of charging stations at which a second battery to be rented to a user is charged and determines a charging station at which the second battery is rented as a replacement for the first battery mounted in the electric vehicle based on the travel route predicted by the travel route predictor.