Energy Storage Configuration Planning Under Multi-Constraint Evaluation
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Solution Overview
Problem
Existing systems struggle to provide a configuration plan for energy storage apparatuses that accurately consider various constraint conditions such as discharge rate, battery temperature, and depth of discharge, leading to suboptimal designs and potential loss of business opportunities due to unsatisfied customer requirements.
Innovation Solution
An information output device and method that includes a receiving unit for customer specifications, a generation unit for configuring energy storage apparatuses, an evaluation unit for assessing compliance with specifications, and an output unit for presenting a validated configuration plan, considering factors like discharge rate, battery temperature, and depth of discharge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual trial and error simulation is used to determine configuration plan, then design flexibility is maintained, but time consumption and complexity increase significantly
Solution Approach 1:
The system performs self-evaluation of configuration plans through automated simulation and constraint checking. The evaluation unit automatically assesses whether generated configuration plans satisfy customer requirements and constraint conditions, eliminating the need for manual trial and error while maintaining design flexibility.
Solution Approach 2:
The system implements automated feedback loops where evaluation results are used to guide the generation of improved configuration plans. The update unit uses evaluation feedback to automatically adjust and optimize configuration parameters, reducing time consumption while maintaining adaptability.
2Reliability
If comprehensive constraint conditions are considered in configuration planning, then customer requirement satisfaction improves, but calculation complexity and processing time increase
Solution Approach 1:
The evaluation process is segmented into multiple independent constraint checks (discharge rate constraint, battery temperature constraint, depth of discharge constraint, etc.). Each constraint is evaluated separately, making the overall complex evaluation process more manageable and efficient.
Solution Approach 2:
The system performs preliminary evaluation of constraint conditions during the configuration generation phase. By checking constraints early in the design process rather than after complete configuration is finalized, the system reduces overall calculation complexity and processing time.
3Productivity
If automated configuration generation is implemented, then productivity increases, but ease of operation for inexperienced personnel decreases
Solution Approach 1:
The system introduces an intermediary evaluation unit that acts as a mediator between the generation unit and the final configuration output. This intermediary automatically checks and validates configuration plans against constraint conditions, making the system easier to operate for inexperienced personnel while maintaining high productivity.
Data Source
AI summary
A receiving unit that receives input of required specifications related to an energy storage apparatus to be designed, a generation unit that generates a configuration plan of the energy storage apparatus including the number of energy storage cells to be mounted on the energy storage apparatus and arrangement of the energy storage cells based on a part of a condition included in the received required specifications, an evaluation unit that evaluates whether or not the generated configuration plan satisfies the required specifications, an update unit that updates the configuration plan according to an evaluation result of the evaluation unit and causes the evaluation unit to evaluate the updated configuration plan, and an output unit that outputs information on a configuration plan evaluated by the evaluation unit to satisfy the required specifications are included.