EV Charging Communication Analysis for Interruption Prediction
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Solution Overview
Problem
Existing systems fail to reliably predict the course of a charging process and accurately analyze the cause of charging interruptions in electrical energy storage apparatuses, particularly in electric vehicles.
Innovation Solution
A method involving a communication link between the energy storage apparatus and charging apparatus for information exchange, using an electronic computing apparatus to assess and evaluate the charging process, identify faults, and provide predictive analysis and recommendations for resolving interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power quality monitoring systems are used to monitor and analyze charging stations, then power quality problems can be diagnosed and assessed, but the system cannot reliably predict the course of charging processes or accurately identify causes of charging interruptions
Solution Approach 1:
The system performs preliminary assessment of communication link transmission quality before charging interruptions occur. By evaluating communication parameters and transmission quality in advance, the system can predict potential charging process failures and identify likely causes of interruptions before they happen, enabling proactive rather than reactive monitoring.
Solution Approach 2:
The system continuously monitors communication link parameters and uses this feedback to assess transmission quality and predict charging process outcomes. The evaluation results are fed back into the system to improve future predictions and identify patterns in charging interruptions, creating a closed-loop monitoring and prediction mechanism.
2Measurement precision
If communication link transmission quality is assessed to evaluate charging processes, then charging interruptions can be predicted and analyzed, but existing systems lack the capability to reliably perform this assessment
Solution Approach 1:
The system uses communication link parameters as intermediary indicators to assess transmission quality. By monitoring these intermediate communication parameters (such as signal strength, error rates, and transmission timing), the system can indirectly evaluate the health of the charging process and predict potential failures without directly measuring charging outcomes.
Solution Approach 2:
The system replaces traditional mechanical or direct electrical monitoring of charging processes with electronic communication-based assessment. By using communication link evaluation instead of direct charging parameter monitoring, the system achieves more reliable and precise prediction capabilities while reducing interference with the actual charging process.
Data Source
AI summary
The disclosure relates to a method for analyzing a charging process of an electrical energy storage apparatus by a charging apparatus, by means of which electrical energy may be provided via a charging link for the energy storage apparatus, wherein a communication link is provided between the energy storage apparatus and the charging apparatus by means of which information may be exchanged between the energy storage apparatus and the charging apparatus, a transmission of information via the communication link is assessed by an electronic computing apparatus, by means of the electronic computing apparatus, an evaluation of the charging process is prepared based on the assessment of the information transmission, and the evaluation of the charging process is output by an output apparatus.