EV Power-Line Noise Sniffer for Packet Interruption Avoidance
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Solution Overview
Problem
Electric vehicles experience data communication degradation due to electrical noise on power line networks, leading to slow responses or failures in translating drive inputs.
Innovation Solution
Implementing a Power Line Network Architecture (PLNA) with a noise sniffer and detector (AINPS) that senses and predicts noise regions, allowing for noise cancellation and avoidance, ensuring data indications are transmitted effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If data communication is transmitted over power line networks in electric vehicles, then power delivery and data communication can be integrated, but electrical noise degrades data communication quality
Solution Approach 1:
The noise sniffer proactively detects and predicts noise regions before data transmission occurs. The system continuously monitors the power line environment, identifies upcoming noise events, and adjusts communication parameters in advance to avoid interference, rather than reacting after noise degradation occurs.
Solution Approach 2:
The system implements continuous feedback by monitoring power line noise characteristics through the noise sniffer, comparing detected noise patterns against predicted noise regions, and dynamically adjusting data transmission timing and frequency based on this feedback loop to maintain communication reliability.
2Reliability
If noise cancellation and avoidance techniques are implemented, then data communication reliability is enhanced, but device complexity increases
Solution Approach 1:
The noise sniffer serves multiple functions: it detects current noise levels, predicts future noise regions, provides feedback for transmission scheduling, and enables both noise cancellation and avoidance strategies. This multi-functionality reduces the need for separate dedicated components for each noise mitigation task.
Solution Approach 2:
The system performs self-diagnosis and self-adjustment by autonomously monitoring its own communication environment, identifying noise patterns, and modifying its transmission behavior without requiring external intervention or complex external control systems.
Data Source
AI summary
An electric vehicle noise sniffer and methods of mitigating packet flow interruptions by noise cancellation and avoidance of noise region envelopes are provided. A vehicle comprises: electrical component(s) that operate according to data indications: and a power line that conveys the data indications and power to the electrical component(s). A method comprises: determining an electrical characteristic of the data indications on the power line: determining a present electrical characteristic of noise on the power line and/or estimating a future electrical characteristic of the noise on the power line: and causing the data indications to change to a new electrical characteristic different from the present electrical characteristic and the future electrical characteristic of the noise on the power line to avoid interference of the noise with the data indications. The electrical characteristics are one or more of in frequency space, amplitude space and direct current offset space.


