EV Charging Plan Filtering for Faster Demand Response Scheduling
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Solution Overview
Problem
Existing charge management devices for battery electric vehicles face high processing loads and slow response times due to calculating charge schedules for all vehicles, including those unable to respond to demand response requests.
Innovation Solution
A vehicle battery charging planning system that determines which vehicles can respond to demand response requests based on vehicle information and user settings, excluding non-responsive vehicles from the planning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charge schedules are calculated for all EVs with charge notifications, then complete charging coverage is achieved, but processing load increases and response time decreases
Solution Approach 1:
The system extracts and identifies EVs that are incapable of responding to demand response requests based on predetermined conditions (user settings, vehicle status). These excluded EVs are removed from the charge schedule calculation process, allowing the system to focus computational resources only on capable EVs, thus reducing processing load while maintaining reliable charging coverage for responsive vehicles.
2Adaptability or versatility
If charge schedules are calculated for all EVs, then comprehensive charging management is achieved, but system response to constraint conditions becomes slow
Solution Approach 1:
The system segments the EV fleet into two distinct groups: EVs capable of responding to demand response requests and EVs incapable of responding. This segmentation is based on evaluating vehicle information and user settings against predetermined conditions. By dividing the management scope, the system can rapidly respond to constraint conditions for the capable segment while maintaining comprehensive management coverage through separate handling of the incapable segment.
Data Source
AI summary
The determination server configuring the vehicle battery charging planning system determines whether each battery electric vehicle can respond to a demand response request from the electric power company based on the vehicle information regarding the charge status of the vehicle battery of each battery electric vehicle and the user setting set by the user of each battery electric vehicle. The determination server extracts a plurality of target vehicles so as to exclude battery electric vehicle determined to be unable to respond to the demand response request, and transmits the plurality of target vehicles to the charging plan calculation server that configures the vehicle battery charging planning system. The charging plan calculation server formulates a charging plan targeting the plurality of extracted target vehicles, and transmits the charging plan to the charging command server.