Power Balancing Computer Resource Selection Strategy
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Solution Overview
Problem
Existing power balancing methods for battery electric vehicles face issues with resource switching frequency and charging interruptions, as they often require frequent changes in resources to meet long-duration charging requests, leading to component deterioration and potential power imbalances in the external power supply.
Innovation Solution
A computer system manages resources with power storage devices to select the most suitable ones for charging or discharging based on their chargeable or dischargeable periods, prioritizing resources with shorter periods for shorter requests and longer periods for longer requests to minimize resource switching and ensure stable power balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If resources are frequently switched to meet long-duration charging requests, then the charging demand can be satisfied, but component deterioration increases and reliability decreases
Solution Approach 1:
The system performs preliminary assessment of resource chargeable periods before making selection decisions. By determining the chargeable period of each resource in advance and matching it with the required charging duration, the system avoids frequent switching and prevents component deterioration before it occurs.
Solution Approach 2:
The selection priority of resources is dynamically changed based on the charging request duration parameter. For short charging requests, resources with shorter chargeable periods are prioritized; for long charging requests, resources with longer chargeable periods are prioritized. This parameter-based adaptation resolves the contradiction by optimizing resource usage patterns.
2Adaptability or versatility
If resources are switched to meet varying charging durations, then adaptability improves, but resource switching frequency increases causing component wear
Solution Approach 1:
The system adapts its resource selection strategy by changing the priority parameter based on charging request duration. This parameter change enables the system to maintain high adaptability to different charging scenarios while simultaneously reducing harmful switching operations that cause component wear.
Solution Approach 2:
The system uses feedback from the charging request characteristics (duration, timing) to adjust resource selection decisions. This feedback mechanism enables adaptive response to varying demands while learning to minimize switching operations that generate harmful effects on components.
3Ease of operation
If resource selection does not consider chargeable periods, then selection simplicity is maintained, but charging interruptions occur
Solution Approach 1:
The system performs preliminary determination of chargeable periods for all available resources before the resource selection process. This preliminary action provides essential information that enables reliable charging continuity while keeping the actual selection process simple and efficient.
Solution Approach 2:
The resource selection process is segmented into distinct stages: first determining chargeable periods, then selecting resources based on matching chargeable period with charging request duration. This segmentation maintains operational simplicity by breaking down the complex selection process into manageable steps.
Data Source
AI summary
A computer manages a plurality of resources operable as a balancing power for an external power supply. Each of the resources includes a power storage device chargeable with electric power from the external power supply. The computer executes resource selection for selecting a resource to be operated as the balancing power from among the resources in response to a charging request for the balancing power. The computer determines chargeable periods of the resources prior to the resource selection. The computer selects a resource having a short chargeable period with priority in the resource selection in response to a first charging request, and selects a resource having a long chargeable period with priority in the resource selection in response to a second charging request. A balancing period requested in the second charging request is longer than a balancing period requested in the first charging request.