Mobile Shop Charging Schedule Based on Sales and Inventory
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for electrically powered vehicles used as mobile shops face a decrease in sales due to charging at inopportune times, which can be mitigated by adjusting the charging schedule based on inventory status and well-selling times.
Innovation Solution
A method and device for controlling a mobile shop that determines the selling situation using inventory and well-selling time information to set a charging schedule, ensuring the mobile shop moves to a charging facility at optimal times to minimize sales loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle is charged when the SOC decreases, then the battery can be kept charged, but sales of items may decrease due to charging at inopportune timing
Solution Approach 1:
The system performs preliminary actions by determining the selling situation in advance and setting the charging schedule before charging actually occurs. The control device predicts well-selling times based on historical data and inventory information, then schedules charging to occur during periods when sales are expected to be low, thus avoiding the contradiction between maintaining battery charge and preserving sales opportunities
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring inventory status, current sales, and historical sales data to dynamically adjust the charging schedule. The control device receives feedback on selling situations and modifies charging timing accordingly, ensuring that charging operations are coordinated with actual sales performance patterns
2Reliability
If the mobile shop moves to a charging facility, then the battery can be recharged, but the mobile shop is unavailable for selling items during movement
Solution Approach 1:
The system schedules charging movements in advance based on predicted well-selling times and current inventory status. By performing preliminary determination of selling situations, the system can plan charging trips during periods when sales demand is naturally low, thus minimizing the loss of selling time while ensuring battery reliability
Solution Approach 2:
The charging schedule is made dynamic rather than fixed, allowing the system to adapt charging timing based on real-time and historical sales data. The control device dynamically adjusts when the mobile shop should move to charging facilities based on fluctuating sales patterns, inventory levels, and predicted well-selling periods
3Ease of operation
If the charging schedule is set based on SOC threshold, then charging is simple to manage, but it does not consider inventory status or well-selling times
Solution Approach 1:
The system merges multiple functions by combining battery management (SOC monitoring) with sales management (inventory tracking and sales analysis) into a single integrated control device. This allows the charging schedule to be determined by综合考虑 both battery needs and sales considerations without significantly increasing operational complexity
Solution Approach 2:
The control device performs multiple functions: it monitors battery SOC, tracks inventory status, analyzes current and historical sales data, predicts well-selling times, and determines optimal charging schedules. This multi-functional approach allows simple threshold-based charging management to be enhanced with sales optimization capabilities
Data Source
AI summary
A method for controlling a mobile shop includes: determining a selling situation of a plurality of items using information about an inventory status of the plurality of items and information about a well-selling time of the plurality of items; setting a charging schedule for a battery (secondary battery) based on the selling situation; and causing the mobile shop to move to EVSE (charging facility) according to the charging schedule.