EV Charging Power Grouping for Lower Planning Computation
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Solution Overview
Problem
The increase in computational resources required for managing charging plans for multiple electric vehicles due to various restriction conditions leads to inefficiencies in calculation.
Innovation Solution
A charging power management system that groups electric vehicles into clusters based on classification rules, determines total charging power for each group, and then allocates individual charging power to each vehicle within the group, using optimization techniques to minimize computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging plans are managed for multiple electric vehicles with various restriction conditions, then charging management comprehensiveness is improved, but computational resources required increase enormously
Solution Approach 1:
The patent segments the charging management problem into two distinct stages: (1) determining total charging power for groups of vehicles based on aggregate restriction conditions, and (2) allocating individual charging power to each vehicle based on the predetermined total power and individual vehicle characteristics. This segmentation reduces computational complexity by solving a simplified group-level optimization problem first, then distributing results to individual vehicles, thereby maintaining comprehensive management while suppressing the enormous increase in computational resources that would result from solving each vehicle's charging plan independently with all restriction conditions.
2Quantity of substance
If the number of electric vehicles increases, then charging system capacity is improved, but calculation amount increases enormously
Solution Approach 1:
The patent merges multiple individual charging plan calculations into a single group-level total charging power determination. By combining restriction conditions across multiple vehicles and determining a unified total charging power for the group, the system avoids the exponential increase in calculation amount that would occur if each vehicle's charging plan were calculated separately. The merged approach allows the charging management system to handle increasing numbers of vehicles while keeping calculation complexity manageable through subsequent individual power allocation based on the predetermined total.
Data Source
AI summary
In creating a charging plan for an electric vehicle, calculation amount becomes enormous as the number of electric vehicles increases, leading to a problem of increasing the resources required for calculation. To solve this problem, the present disclosure includes a grouping unit configured to group a plurality of electric vehicles into an electric vehicle cluster based on a classification rule, a total charging power determination unit configured to determine total charging power of the electric vehicle cluster for each group for each time based on the restriction condition, and an individual charging power determination unit configured to determine individual charging power for each of the electric vehicles for each time based on the total charging power.