Vehicle Battery Control Using Mobile Usage History for DR Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing control systems for vehicle-mounted power storage systems in demand response (DR) control struggle to accurately predict charging and discharging trends without sufficient usage information, impacting energy efficiency.
Innovation Solution
A control apparatus that obtains usage history from external power storage systems, such as mobile terminals, to estimate charging and discharging trends and select power storage systems for connection to the electric power network, prioritizing those with high connection probabilities and optimal state of charge levels based on user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If usage information for the vehicle is used to predict charging and discharging trends, then prediction accuracy is improved, but the system cannot operate when usage information is insufficient or absent
Solution Approach 1:
The patent introduces an external power storage apparatus as an intermediary data source. When usage information for the vehicle is insufficient or absent, the system obtains charging and discharging information from the external power storage apparatus (such as a mobile terminal) to serve as a substitute for predicting the vehicle's power storage trends, enabling the system to operate without direct vehicle usage information
Solution Approach 2:
The system pre-obtains and stores charging and discharging information from external power storage apparatus in advance. This preliminary data collection allows the system to have backup information ready before vehicle usage information becomes unavailable, ensuring continuous operational capability
2Ease of operation
If the vehicle is assumed to be connected to charging/discharging equipment in demand response control, then control execution is simplified, but prediction accuracy deteriorates when the vehicle is not actually connected
Solution Approach 1:
The system continuously monitors and compares actual vehicle connection status with predicted trends by analyzing usage information and external power storage data. This feedback mechanism allows the system to detect when the vehicle is not actually connected to charging/discharging equipment and adjust predictions accordingly, preventing erroneous control execution
Solution Approach 2:
The prediction model dynamically adapts based on available information quality. When usage information is available, the system uses vehicle-specific data; when not available, it transitions to using external power storage data, creating a dynamic prediction system that maintains accuracy across varying connection scenarios
Data Source
AI summary
Provided is a control apparatus that can accurately predict charging and discharging trends for a power storage system for a vehicle, irrespective of the presence or absence of usage information for the vehicle. A control apparatus is provided with: an obtainment unit that, for each of a plurality of power storage systems respectively mounted to a plurality of vehicles, obtains a usage history of a mobile terminal which corresponds to an external power storage apparatus associated with the power storage system; and a selection unit that estimates trends for charging and discharging between each power storage system and an electric power network based on the usage history and, in accordance with an estimation result, selects from the plurality of power storage systems a power storage system to be subject to charging or discharging from or to the electric power network.