Wireless Power Transfer Fault Localization Using Vehicle Reception History
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Solution Overview
Problem
In dynamic wireless power transfer systems, it is challenging to determine whether abnormalities in power transfer occur in the power transmission apparatuses installed on roads or in the power reception apparatuses mounted on vehicles, as an abnormality in the power transmission apparatus affects multiple vehicles, necessitating effective detection methods.
Innovation Solution
An abnormality judgment apparatus and system that includes a processor, communication device, and storage device to collect and analyze power reception history information from vehicles, calculating the probability of abnormalities in power reception apparatuses and identifying abnormal locations where power transfer efficiency drops below a threshold, thereby determining if the issue lies with the power transmission apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power transfer efficiency is monitored to detect abnormalities, then abnormality detection capability is improved, but it becomes difficult to determine whether the abnormality lies in the power transmission apparatus or power reception apparatus
Solution Approach 1:
The system changes the parameter being monitored from simple power transfer efficiency to a composite indicator that combines power transfer efficiency with probability of abnormality in the power reception apparatus. This allows the system to distinguish between transmission apparatus abnormalities and reception apparatus abnormalities by analyzing how these parameters change together.
Solution Approach 2:
The probability of abnormality in the power reception apparatus acts as an intermediary indicator that helps identify the true source of the problem. By introducing this intermediate calculation based on historical data, the system can indirectly determine whether the primary abnormality lies in the transmission or reception apparatus.
2Measurement precision
If power reception history information is collected from multiple vehicles, then detection accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system merges data from multiple power reception apparatuses by collecting power reception history information from multiple vehicles. This aggregation of data improves detection accuracy by providing a broader statistical basis for determining abnormality probabilities and identifying transmission apparatus failures.
Solution Approach 2:
The abnormality determination apparatus serves multiple functions: it collects data from multiple vehicles, calculates individual abnormality probabilities, aggregates this information, and determines transmission apparatus abnormalities. This multi-functional approach consolidates what could be multiple separate systems into a single universal platform.
3Loss of time
If real-time monitoring is implemented, then response time to abnormalities is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing power reception history information in advance. This pre-collected data is then used to calculate abnormality probabilities and detect transmission apparatus failures, enabling real-time monitoring without requiring continuous heavy computation that would increase energy consumption.
Solution Approach 2:
The system implements partial monitoring by focusing computational resources on calculating abnormality probabilities only when necessary, rather than continuously analyzing all parameters in real-time. This approach maintains responsive abnormality detection while reducing overall energy consumption by avoiding excessive processing.
Data Source
AI summary
An abnormality judgment apparatus provided with a processing part, a communicating part able to communicate with a mobile object provided with a power reception apparatus receiving power wirelessly transmitted from a power transmission apparatus installed on a road, and a storage part storing power reception history information received from the mobile object. The processing part calculates a probability of occurrence of an abnormality in the power reception apparatus of the mobile object based on the power reception history information and detects a presence of an abnormality occurring location where the power transfer efficiency becomes less than a predetermined value and judges that an abnormality has occurred in the power transmission apparatus installed at the abnormality occurring location when an abnormality occurring location is detected and the probability becomes less than a predetermined judgment threshold value.