ADC Sampling Around Interference Frequencies for Traction Networks
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Solution Overview
Problem
Existing methods for analog-to-digital conversion in motor vehicle traction networks suffer from high measurement errors due to interference signals with different frequencies superimposed on the input signal, particularly when using equidistant sampling points.
Innovation Solution
Determine sampling points as a function of the frequencies of both low-frequency and high-frequency interference signals, optimizing their placement within the measurement cycle to detect minima and maxima, thereby reducing measurement errors without increasing the total number of samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If equidistant sampling points are used during the measurement cycle, then the sampling process is simple and equipment costs are low, but measurement error increases significantly due to interference signals
Solution Approach 1:
The sampling points are determined dynamically based on the frequencies of interference signals rather than using fixed equidistant intervals. The control unit calculates optimal sampling point positions as a function of detected interference frequencies, allowing the sampling strategy to adapt to changing signal conditions and minimize measurement errors.
Solution Approach 2:
The sampling interval parameter is changed from a fixed equidistant value to a variable parameter that depends on the frequencies of interference signals. By adjusting the sampling points according to the periodicities of known interference signals, the method optimizes measurement precision without requiring additional hardware.
2Measurement precision
If the number of sampling points is increased to reduce measurement error, then measurement precision improves, but the total number of samples and processing load increase
Solution Approach 1:
Instead of uniformly increasing the number of sampling points across the entire measurement cycle, the method applies sampling points selectively at critical positions determined by interference signal frequencies. This partial action approach achieves sufficient measurement precision by targeting specific moments in the cycle where interference impact is minimized.
Solution Approach 2:
The frequencies of interference signals are determined in advance before the actual sampling process. This preliminary analysis allows the system to pre-calculate optimal sampling point positions, enabling precise measurements without requiring excessive sampling points during the measurement cycle itself.
3Measurement precision
If sampling points are determined as a function of interference signal frequencies, then measurement error is reduced by detecting minima and maxima, but the complexity of the conversion device increases
Solution Approach 1:
The control unit performs multiple functions: it detects interference signal frequencies, calculates optimal sampling point positions, and executes the sampling process. By combining these functions in a single control unit, the device achieves high measurement precision without proportionally increasing overall system complexity.
Solution Approach 2:
The control unit acts as an intermediary that processes the relationship between interference signal frequencies and sampling point positions. It translates frequency information into optimized sampling schedules, mediating between the raw signal characteristics and the actual sampling operation to minimize measurement errors.
Data Source
AI summary
The invention relates to a method for analog-to-digital conversion of an analog, at least substantially continuous, input signal, which includes a user signal superimposed by at least two interference signals (S1, S2) with different frequencies, into a digital output signal, wherein the input signal is sampled in a limited measurement cycle, and wherein the number and timing of several sampling points (A1-A5) within the measurement cycle are determined as a function of a frequency of the input signal. It is provided that the sampling points (A1-A5) are determined as a function of the frequencies of the interference signals (S1, S2).