Charging Power Curve Estimation for Feedable Time Planning
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Solution Overview
Problem
Existing charging systems for vehicles lack a simple method to calculate the time during which power is feedable from a power feeding station, especially when the station's storage battery state of charge is low, leading to inefficient charging operations and potential waste of paid charges.
Innovation Solution
A charging system that includes a detector, acquisition unit, calculation unit, and estimation unit to detect and analyze charging electric power data, calculate approximate curves, and estimate the power feedable time by using values of detected charging electric power, allowing drivers to determine when power is available and preventing unnecessary payments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If charging systems use simple SOC-based dischargeable time estimation, then the system complexity is reduced, but the estimation accuracy deteriorates
Solution Approach 1:
The patent changes the estimation parameter from simple SOC-based time to power feedable time based on charging electric power temporal changes. By using approximate curves of charging power data and detecting multiple time points, the system achieves more accurate estimation while maintaining reasonable complexity through standardized calculation procedures.
2Ease of operation
If charging systems do not estimate power feedable time, then the operation simplicity is maintained, but the loss of time increases due to inefficient charging planning
Solution Approach 1:
The system performs preliminary estimation of power feedable time before charging completion by analyzing charging power temporal changes. This allows drivers to plan ahead and know when power will be available, preventing wasted trips to charging stations and optimizing charging session timing without adding complex operational steps.
3Difficulty of detecting and measuring
If charging systems use only current charging power for estimation, then the measurement simplicity is improved, but the reliability deteriorates due to temporal variations in charging power
Solution Approach 1:
The system detects charging electric power at multiple time points during the charging process and calculates approximate curves before making the final estimation. This preliminary data collection and analysis approach ensures reliable estimation by accounting for temporal variations in charging power while maintaining a straightforward detection methodology.
Solution Approach 2:
The system uses detected charging power values as feedback to continuously refine the approximate curves and improve estimation accuracy. By incorporating multiple measurement points and using them to validate and adjust the temporal change model, the system achieves reliable estimation that accounts for real-time charging conditions.
Data Source
AI summary
A charging system includes a charging control unit, a detector, an acquisition unit, a calculation unit, and an estimation unit. The charging control unit controls a charging operation performed from a power feeding system including a power storage device to a storage battery. The detector detects, multiple times, charging electric power supplied to the storage battery. The acquisition unit acquires pieces of charging data each including data indicating a temporal change in the charging electric power supplied from the power feeding system to the storage battery. The calculation unit calculates respective approximate curves of the pieces of charging data. The estimation unit estimates a power feedable time during which the power feeding system is able to feed power, based on the approximate curves calculated based on the pieces of charging data, by using values of the charging electric power detected by the detector.