Server Control of Moving Body Charging by Estimated Stay Time
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Solution Overview
Problem
Existing autonomous moving bodies may incorrectly determine when to charge based on their state of charge, leading to situations where users cannot use them due to premature charging, especially when staying times at destinations are short.
Innovation Solution
A server system that acquires a user's destination and estimates their staying time, determining whether to move the moving body to a charging location based on this information, ensuring efficient charging and availability for use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the moving body autonomously moves to a charging place based on state of charge, then the battery charging reliability is improved, but the user cannot use the moving body when staying time is short
Solution Approach 1:
The server performs preliminary estimation of the user's staying time at the destination before the moving body arrives. Based on this preliminary assessment, the server proactively determines the optimal charging timing and notifies the user in advance, allowing the user to plan accordingly and avoiding situations where the moving body is unavailable when needed
Solution Approach 2:
The system implements a feedback mechanism where the server continuously monitors the moving body's state of charge, estimates staying time based on destination information, and adjusts charging decisions dynamically. The server notifies the user of charging plans and can modify them based on updated information, creating a closed-loop system that balances charging needs with user availability
2Use of energy by moving object
If the moving body charges at every opportunity, then the battery state of charge is maintained, but the moving body is unavailable for immediate use
Solution Approach 1:
The charging strategy is made dynamic rather than static. The server adjusts charging decisions based on real-time conditions including the user's destination, estimated staying time, and current state of charge. This dynamic approach allows the system to charge when appropriate and remain available when needed, optimizing both energy management and service availability
Solution Approach 2:
The system changes the threshold parameters for charging based on the estimated staying time. When the staying time is short, the charging threshold is adjusted to prevent charging during the user's stay. When the staying time is long, the system allows charging to proceed. This parameter adjustment resolves the contradiction between maintaining charge and preserving availability
Data Source
AI summary
A server includes a processor configured to acquire a user's destination, estimate a user's staying time at the destination based on the destination, determine whether to move a moving body used by the user based on the staying time, and control driving of the moving body.