Charging Station Power Estimation From Real Charging Data
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Solution Overview
Problem
Existing methods for determining the charging power of electric vehicle charging stations provide static values that often do not reflect the actual power capability due to factors like grid overload or vehicle limitations, leading to inaccurate user expectations and potential operational issues.
Innovation Solution
A method and device that calculate an average charging power from actual charging data, updating a maximum value only when exceeded, and using a counter to determine a reliable expected charging power, displayed to users via an interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the charging power is specified according to the data sheet (nominal power), then the charging station is designed for maximum capability, but the actually achieved charging power is often below the specified value due to grid overload or vehicle limitations
Solution Approach 1:
The system collects actual charging power data from multiple charging processes and uses this feedback to determine and update the actually expected charging power. The control unit receives charging data sets including delivered charging energy and charging time, calculates average charging power, and updates the maximum charging power value based on this feedback, resolving the discrepancy between nominal and actual power capability
Solution Approach 2:
The system performs preliminary calculations and evaluations by collecting charging data from multiple charging processes before determining the actually expected charging power. By accumulating data and performing preliminary analysis of average charging power across multiple processes, the system establishes an accurate power expectation before presenting it to users
2Reliability
If the maximum charging power is updated after each charging process, then the value reflects recent performance, but frequent updates may cause instability and lack of reliability in the determined value
Solution Approach 1:
The system performs periodic updates of the actually expected charging power by evaluating charging data sets from multiple charging processes. The control unit calculates average charging power for each process and periodically updates the maximum value when a higher average is achieved, balancing responsiveness with stability through structured periodic evaluation
Solution Approach 2:
The system performs preliminary calculations of average charging power for each charging process before updating the maximum value. By pre-calculating averages and only updating when the preliminary calculation exceeds the current maximum, the system ensures stable and reliable determination without premature or unstable updates
3Ease of operation
If the charging power value is kept static as per data sheet specification, then the system is simple to operate, but it does not reflect actual power delivery capability under varying grid conditions
Solution Approach 1:
The system transitions from a static charging power specification to a dynamic determination process. The control unit automatically updates the actually expected charging power based on collected charging data sets, allowing the value to adapt dynamically to actual performance while maintaining automated operation that preserves ease of use
Solution Approach 2:
The system performs self-service by automatically collecting charging data, calculating average charging power, and updating the actually expected charging power without requiring manual intervention. The control unit autonomously manages the determination process, maintaining simplicity for users while achieving precise measurements
Data Source
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AI summary
Method and device for determining an actually expected charging power (Preal) of a charging station (LS), comprising the steps of: receiving (S1) a charging data set (LDS) from the charging station (LS) which indicates an electrical charging energy (LE) delivered by the charging station (LS) to an electric vehicle (EF) in a charging process (LV) within a charging time (LZ);Calculating (S2) an average charging power (PLV) of the charging process (LV) as a function of the charging energy (LE) specified in the received charging data set (LDS) and the charging time (LZ) specified in the received charging data set (LDS), comparing (S3) the calculated average charging power (PLV) of the charging process (LV) with a stored maximum charging power (PLV MAX) of the charging station (LS), overwriting (S4) the previously stored maximum charging power (PLV MAX) of the charging station (LS) with the calculated average charging power (PLV) if the calculated average charging power (PLV) is greater than the previously stored maximum charging power (PLV MAX), wherein a count value of an associated overwrite counter is incriminated (S5) for each overwrite performed;and determining (S7) the last overwritten maximum charging power (PLV MAX) as the actually expected charging power (Preal) of the charging station (LS) as soon as the incriminated count value of the overwrite counter reaches a predefined threshold value (SW) (S6).;