Battery Transport Dispatch for Low-Charge Map Sections
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Solution Overview
Problem
Existing techniques face challenges in efficiently and stably supplying electric power to electric mobile bodies, particularly in ensuring timely and adequate charging.
Innovation Solution
An information processing method that acquires the current positions and charge rates of battery transport mobile bodies and electric mobile bodies, calculates the current charge rate for map sections, determines insufficient charge sections, and outputs control information to move battery transport mobile bodies to these sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional charging spot prediction based on probe data is used, then charge waiting time information can be provided to users, but efficient and stable electric power supply to electric mobile bodies cannot be achieved
Solution Approach 1:
The system implements feedback by continuously monitoring the charge rates of electric mobile bodies in each section and using this information to dynamically determine insufficient charge sections. The server receives charge rate information from electric mobile bodies, calculates current charge rates for each section, and uses this feedback to generate updated control information for battery transport mobile bodies, creating a closed-loop control system that adapts to changing conditions
Solution Approach 2:
The system enables self-service by allowing battery transport mobile bodies to autonomously navigate to insufficient charge sections based on control information from the server. The battery transport mobile bodies independently transport batteries to where they are needed without requiring manual dispatch, and the system automatically manages the entire charging coordination process
2Device complexity
If static charging spot allocation is used, then system complexity is reduced, but charging efficiency and adaptability to changing conditions deteriorate
Solution Approach 1:
The system applies dynamics by making the charging allocation dynamic rather than static. The server continuously receives position information and charge rate information from electric mobile bodies, recalculates insufficient charge sections based on current conditions, and updates control information for battery transport mobile bodies in real-time, allowing the system to adapt to changing charging demands and vehicle locations
Solution Approach 2:
The system segments the service area into multiple geographic sections and calculates charge rates independently for each section. This segmentation allows the server to identify specific insufficient charge sections and dispatch battery transport mobile bodies precisely to where they are needed, rather than managing charging allocation as a single undifferentiated system
Data Source
AI summary
A server acquires a current position of each of a plurality of battery transport mobile bodies transporting a first battery, acquires a current position of each of a plurality of electric mobile bodies and a charge rate of a second battery included in each of the plurality of electric mobile bodies, calculates a current charge rate for each of a plurality of sections on a map based on a charge rate of at least one second battery present in each of the plurality of sections, determines an insufficient charge section having a current charge rate lower than a target charge rate among the plurality of sections, and outputs control information for moving at least one battery transport mobile body among the plurality of battery transport mobile bodies to the determined insufficient charge section.