EV Power Storage Scheduling Based on Battery Life vs Incentive Priority
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Solution Overview
Problem
Existing power management systems do not adequately consider users who prioritize the suppression of battery deterioration over incentives for electric vehicle charging and discharging, leading to potential battery degradation.
Innovation Solution
A power management system and server that include a selector, scheduler, and request processor to identify user preferences for battery deterioration suppression and incentive acquisition, allowing for the selection of power storage units and scheduling of charging and discharging operations based on user desire levels, thereby prioritizing battery health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the power management system prioritizes incentive acquisition for users, then the productivity of power storage utilization is improved, but the reliability of power storage (battery deterioration suppression) deteriorates
Solution Approach 1:
The system applies different quality characteristics to different users by introducing a desire level parameter that categorizes users into those who prioritize incentive acquisition and those who prioritize battery deterioration suppression. The power management server adjusts charging/discharging schedules and incentive allocations based on each user's preference, thereby resolving the contradiction by allowing simultaneous optimization for both productivity and reliability across different user segments.
2Productivity
If the power management system increases charging frequency to meet demand response requests, then the productivity of electric power regulation is improved, but the power storage unit deteriorates faster
Solution Approach 1:
The system dynamically adjusts charging and discharging schedules based on real-time factors including user desire levels, state of charge, temperature, and power regulation demands. For users prioritizing battery lifespan, the system reduces charging frequency and optimizes charging windows, thereby maintaining productivity of power regulation while protecting battery durability through dynamic, adaptive scheduling.
Solution Approach 2:
The system changes operational parameters such as charging power levels, charging windows, and state of charge targets based on user preferences and battery conditions. By adjusting these parameters dynamically, the system can increase power regulation productivity when needed while reducing stress on battery units for users who prioritize longevity, thus resolving the contradiction between productivity and durability.
3Ease of operation
If the power management system optimizes for incentive distribution, then the ease of operation is improved, but the fairness among users with different preferences deteriorates
Solution Approach 1:
The system provides localized optimization for different user groups by introducing desire level-based categorization. Users who prioritize incentive acquisition receive optimized schedules and higher incentive allocations, while users who prioritize battery deterioration receive protected scheduling with reduced charging frequency. This local quality approach maintains ease of operation through automated management while achieving fairness by accommodating diverse user preferences through differentiated treatment.
Data Source
AI summary
A power management system includes a plurality of power storages and a server. The server includes a selector that selects at least one of the plurality of power storages, a scheduler that makes a schedule for the selected power storage, and a request processor that requests a user of the selected power storage to control at least one of external charging and external power feed in accordance with the made schedule. The server obtains desire information that indicates a desire level (priority on battery life/priority on an incentive) and carries out at least one of selection of the power storage and making of the schedule based on the obtained desire information.