Electric Vehicle Anomaly Detection via Power Interruption Analysis
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Solution Overview
Problem
Current methods for detecting anomalies in electric traffic systems, such as power line wear and current collector issues, are inefficient due to the need for specialized equipment, limited coverage, and high costs, often requiring visual inspections at fixed locations and failing to detect issues in a timely manner.
Innovation Solution
A method and monitoring system that utilize existing data from electric vehicles to collect and analyze power supply interruption data, localizing it to determine anomalies in power lines and current collectors without specialized devices, allowing for comprehensive monitoring and timely maintenance by associating data with vehicle locations and using algorithms to differentiate between anomalies and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual inspection devices or inspection vehicles are used to detect anomalies in power lines and current collectors, then anomaly detection capability is improved, but device complexity and cost increase due to specialized equipment requirements
Solution Approach 1:
The invention enables electric vehicles to perform self-diagnosis by using their own existing sensors and onboard systems to detect power supply interruptions and localize anomalies. The vehicle's control unit analyzes data from its own power consumption measurements, voltage sensors, and position systems to identify anomalies in power lines and current collectors, eliminating the need for external specialized inspection equipment.
Solution Approach 2:
The invention transforms the existing electric vehicle into a multi-functional system that performs both its primary transportation function and anomaly detection function simultaneously. The same sensors, power consumption measurement systems, and control units used for vehicle operation are repurposed to detect and localize power line and current collector anomalies, making the detection system universal rather than requiring separate specialized equipment.
2Reliability
If inspection vehicles are deployed to examine power lines, then anomaly detection is improved, but coverage is limited to small sections due to time and cost constraints
Solution Approach 1:
The invention enables continuous anomaly detection along the entire power line network by utilizing the ongoing movement of multiple electric vehicles throughout the system. As vehicles continuously operate and travel along different routes, they continuously generate power consumption data that can be analyzed for anomalies, providing uninterrupted monitoring coverage of all power line sections rather than periodic inspections of limited areas.
Solution Approach 2:
The invention transitions from static inspection vehicles that examine fixed sections to dynamic detection using moving electric vehicles that continuously traverse the power line network. The system adapts to the varying positions and routes of vehicles, localizing anomalies based on real-time position data and power consumption patterns from multiple moving sources, thereby achieving comprehensive coverage of the entire system.
3Ease of operation
If current collectors are examined only at fixed locations, then inspection simplicity is maintained, but examination frequency is reduced to large time intervals
Solution Approach 1:
The invention replaces periodic fixed-location inspections with continuous monitoring during normal vehicle operation. Power supply interruptions and anomalies are detected continuously as vehicles operate along their routes, providing real-time feedback on current collector and power line conditions without requiring vehicles to stop or return to fixed inspection points, thereby eliminating time losses while maintaining operational simplicity.
Solution Approach 2:
The invention replaces the mechanical inspection process where vehicles physically travel to fixed locations for examination with an electronic/digital monitoring system. The control unit continuously analyzes power consumption data, voltage measurements, and position information to detect anomalies, substituting physical inspection trips with electronic detection during normal operation, thus eliminating time loss while maintaining ease of operation through automated analysis.
4Reliability
If comprehensive inspection of power lines is conducted, then anomaly detection coverage is improved, but costs and time requirements increase
Solution Approach 1:
The invention enables the electric vehicles to perform their own diagnostic functions during normal operation, detecting anomalies in power lines and current collectors without requiring external inspection resources. The vehicles utilize their existing sensors, power consumption measurement systems, and control units to autonomously identify and localize anomalies, achieving comprehensive coverage without additional time loss or cost.
Solution Approach 2:
The invention achieves comprehensive anomaly detection coverage by continuously monitoring power supply conditions during the ongoing operation of multiple vehicles throughout the system. Rather than conducting separate comprehensive inspection campaigns that would require significant time, the system continuously gathers diagnostic data during normal vehicle operations, achieving full coverage as a byproduct of regular system usage without additional time investment.
Data Source
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Figure 3
AI summary
A method for detecting anomalies in an electric traffic system (10) is proposed, wherein the electric traffic system (10) comprises a plurality of electric vehicles (14) with current collectors (29) and a plurality of power lines (28) for providing electricity to the current collectors (29), wherein the method comprises the following steps: collecting electric vehicle data (40) acquired by the electric vehicles (14), wherein the electric vehicle data (40) comprises data of occurrences of power supply interruptions from the power line (28) to the current collector (29) of the electric vehicle (14); determining a location of the electric vehicle (14) in the electric traffic system (10); localizing the electric vehicle data (40) such that the electric vehicle data (40) is associated with locations, where the electric vehicle data (40) has been acquired; and determining at least one of an anomaly of the power lines (28) at a location and an anomaly of the current collector (29) of an electric vehicle (14) from the localized electric vehicle data (40) of at least two electric vehicles (14).