Charging Information Reduction for Precise EV Charging Plans
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Solution Overview
Problem
The transmission and processing of precise charging information for electric vehicles, particularly at high time resolutions, involve high communications and computation complexity.
Innovation Solution
A device and method that determine a total quantity of data tuples for different times within a charging period, adapt and interpolate these sequences to a common time base, and reduce the data tuples to a subset that approximates the original curves with minimal error, facilitating efficient and precise charging plan determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If charging information is provided with high time resolution, then precision of charging information is improved, but communications and computation complexity increases
Solution Approach 1:
The patent extracts only the essential charging information parameters needed for charging plan determination and transmits them separately from the detailed time-resolved charging information. This allows the vehicle to receive precise charging data without being overwhelmed by the full complexity of high-resolution time-series data, thereby reducing communications and computation complexity while maintaining precision where needed.
Solution Approach 2:
The charging information is segmented into different components: essential parameters for charging plan determination are separated from detailed time-resolved charging information. This segmentation allows the system to transmit and process only the necessary data elements at high resolution, while other information is provided in a more compressed or aggregated form, reducing overall complexity.
2Productivity
If total quantity of data tuples is reduced, then productivity of charging plan determination is improved, but measurement precision of charging information deteriorates
Solution Approach 1:
The patent extracts and transmits essential charging information parameters separately, ensuring that the most critical data for charging plan determination is preserved with high accuracy even when the total data volume is reduced. This extraction approach maintains measurement precision for key parameters while reducing the overall quantity of data tuples that need to be processed.
Solution Approach 2:
The patent changes the representation parameters of charging information by providing essential parameters in a condensed format and detailed time-resolved information in a separate, more compact form. This parameter transformation allows the system to maintain accuracy where needed while reducing the total data volume to improve processing efficiency.
Data Source
AI summary
A device for providing charging information for a charging process is configured to determine a total set of N data tuples for N different times of a charging time period for the charging process. A data tuple includes values of one or more characteristic variables relating to electrical energy that can be provided in the charging process. Furthermore, the device is configured to reduce the total set of N data tuples to a reduced set of M data tuples, with M<N, and to provide the reduced set of M data tuples for the determination of a charging plan for the charging process.

