Battery Charge-Discharge Planning Around Vehicle Connection Gaps
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Solution Overview
Problem
Existing techniques for managing power systems with batteries in electric mobile bodies do not consider driving plans, leading to suboptimal operation costs and inefficient battery usage, as they fail to account for connection and non-connection periods and battery consumption needs.
Innovation Solution
A method for generating a charge and discharge plan that acquires a driving plan for the electric mobile body, excludes candidates involving non-connection period charges and discharges, and calculates operation costs to determine optimized plans for each battery, ensuring necessary power is provided and costs are minimized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing techniques are used to manage power systems with batteries, then battery degradation estimation and evaluation can be performed, but operation cost optimization is insufficient due to lack of consideration for driving plans
Solution Approach 1:
The system performs preliminary actions by acquiring the driving plan before generating charge and discharge plan candidates. This allows the system to pre-filter candidates based on connection periods and battery consumption requirements, ensuring that only feasible candidates are evaluated for operation cost, thereby optimizing both reliability and productivity
Solution Approach 2:
The charge and discharge plan generation is segmented into distinct stages: candidate generation, filtering based on driving plan constraints, operation cost calculation, and final determination. This segmentation allows systematic optimization by handling each aspect separately while maintaining overall coherence
2Device complexity
If charge and discharge plans are generated without considering driving plans, then plan generation is simpler, but operation cost increases due to suboptimal battery usage
Solution Approach 1:
The driving plan is acquired in advance before generating charge and discharge candidates. This preliminary action provides constraints that guide candidate generation, reducing the search space and enabling cost optimization without proportionally increasing system complexity
Solution Approach 2:
The system dynamically adjusts charge and discharge plans based on the acquired driving plan. By making the plan generation adaptive to driving requirements, the system achieves better operation cost optimization while managing complexity through structured decision-making
3Productivity
If all charge and discharge plan candidates are considered, then comprehensive optimization is possible, but computation time increases due to evaluation of infeasible candidates
Solution Approach 1:
Infeasible charge and discharge plan candidates are extracted and excluded from further evaluation based on driving plan constraints. This removes obviously suboptimal or infeasible candidates early in the process, reducing computation time while preserving comprehensive optimization for feasible candidates
Solution Approach 2:
The system performs partial evaluation by focusing computational resources on feasible candidates that meet driving plan requirements. Rather than exhaustively evaluating all possible candidates, the system applies sufficient action to achieve optimal results within reasonable computation time
4Productivity
If battery consumption in non-connection periods is not accounted for, then plan generation is faster, but battery reliability decreases due to insufficient power supply
Solution Approach 1:
Battery consumption during non-connection periods is determined in advance from the driving plan. This preliminary determination allows the system to filter out candidates that would fail to meet power requirements, ensuring reliability while maintaining efficient plan generation speed
Solution Approach 2:
The system dynamically ensures power supply reliability by adapting candidate selection to meet minimum battery consumption requirements during non-connection periods. This dynamic constraint enforcement maintains reliability without significantly impacting generation speed
Data Source
AI summary
A generation apparatus acquires a driving plan for an electric mobile body; generates charge and discharge plan candidates for respective batteries; excludes on the basis of the driving plan a charge and discharge plan candidate that involves charge and discharge in a non-connection period in which the electric mobile body is not connected to a power system and a charge and discharge plan candidate that does not fill a supposed battery consumption amount of the electric mobile body in the non-connection period from the charge and discharge plan candidates; calculates an operation cost of the power system for a charge and discharge plan candidate which remains after the exclusion; determines a charge and discharge plan on the basis of the operation cost; and outputs the determined charge and discharge plan.