EV Charging Reservation Server for Timed Maintenance Selection
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Solution Overview
Problem
There is a need for a system that can efficiently perform maintenance checks on electrified vehicles during charging or discharging, allowing users to utilize this time effectively by identifying and prioritizing maintenance tasks based on reservation periods, worker availability, and vehicle history.
Innovation Solution
A server and management system that extracts and communicates relevant maintenance tasks to be performed within a reserved charging or discharging period, considering the length of the reservation, worker schedules, and vehicle history, enabling users to select and prioritize tasks effectively, and displaying these tasks on connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If maintenance checks are performed during charging/discharging periods, then vehicle maintenance efficiency is improved, but the complexity of coordinating maintenance tasks with power control schedules increases
Solution Approach 1:
The server extracts and notifies maintenance items that can be performed within the reservation period before the actual maintenance execution. This preliminary identification of feasible maintenance tasks allows users to plan accordingly while the system automatically coordinates the complexity of matching maintenance requirements with power control schedules, resolving the contradiction by preparing advance information without requiring real-time complex coordination.
Solution Approach 2:
The server acts as an intermediary between the power control system and maintenance check system. It receives reservation period information, extracts appropriate maintenance items based on time constraints, and notifies users through communication units. This intermediary role simplifies the overall system complexity by centralizing the coordination logic in one component rather than requiring direct integration between multiple systems.
2Reliability
If the system extracts maintenance items based on reservation period length, then task completion reliability is improved, but the complexity of extracting and filtering maintenance items increases
Solution Approach 1:
The server uses the reservation period length as a key parameter to extract appropriate maintenance items. By changing the extraction criteria based on the time parameter, the system ensures that only maintenance tasks feasible within the given time frame are selected. This parameter-based approach improves reliability by matching task duration with available time while keeping the extraction logic relatively simple through standardized time-based filtering.
Solution Approach 2:
The server applies different extraction criteria to different maintenance items based on their specific time requirements and characteristics. Each maintenance item is evaluated individually against the reservation period, allowing the system to select appropriate tasks while filtering out unsuitable ones. This localized evaluation approach improves reliability without requiring complex global optimization algorithms.
3Ease of operation
If the system provides detailed information on all maintenance items, then user decision quality is improved, but information processing complexity increases
Solution Approach 1:
The server extracts and notifies only the maintenance items that can be performed within the reservation period, rather than providing information on all possible maintenance tasks. This selective extraction reduces information processing complexity by filtering out inapplicable items while still providing users with sufficient information to make informed decisions about which maintenance tasks to select from the feasible options.
Data Source
AI summary
A server includes a control unit configured to extract from a plurality of items of the maintenance check those item(s) that can be performed within a reservation period reserved by a user of an electrified vehicle for power control including either or both of charging and discharging of a battery of the electrified vehicle, based on a length of the reservation period. The server further includes a communication unit configured to send information on the extracted item(s) to at least one device out of the electrified vehicle and a first information device of the user.


