Server Power Management for Electric Vehicles
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Solution Overview
Problem
Existing power management systems for electric vehicles do not adequately consider power run-out risk when regulating supply and demand of electric power, leading to potential travel disruptions and user inconvenience.
Innovation Solution
A server-based power management system that selects and schedules power storage units based on power run-out risk, adjusting external charging and power feeding requests to minimize risk by prioritizing units with lower or higher risk depending on the operation type, and utilizing estimators to assess risk factors such as travel distance, charging capability, and energy levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the power management system requests users to regulate supply and demand of electric power without considering power run-out risk, then the regulation effectiveness is improved, but the power run-out risk of mobile bodies increases
Solution Approach 1:
The system performs preliminary assessment of power run-out risk before issuing regulation requests. The risk assessment unit evaluates the current power state and predicts future power availability, allowing the system to proactively identify mobile bodies that should not be selected for regulation, thereby preventing power run-out events before they occur.
Solution Approach 2:
The system implements a feedback mechanism where power run-out risk assessment results are fed back into the selection process. The risk information is continuously updated and used to adjust selection decisions, ensuring that mobile bodies with high power run-out risk are excluded from regulation requests while maintaining effective power demand regulation.
2Speed
If the system selects mobile bodies with shorter available time period for regulation, then the regulation response speed is improved, but the power run-out risk of selected mobile bodies increases
Solution Approach 1:
The system performs preliminary risk assessment on mobile bodies with short available time periods before selecting them for regulation. By evaluating power run-out risk in advance, the system can identify which short-time mobile bodies are safe to select and which should be excluded, enabling fast regulation response without compromising power availability.
Solution Approach 2:
The system dynamically adjusts the selection criteria based on the power run-out risk parameter. For mobile bodies with short available time periods, the system modifies the selection threshold or weightings to account for their higher risk profile, balancing response speed requirements with power availability constraints.
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 promote external charging, suppress external charging, or carry out external power feed in accordance with the made schedule. The server obtains power run-out information that indicates power run-out risk for each power storage and carries out at least one of selection of the power storage and making of the schedule in accordance with a type of a request based on the obtained power run-out information.