Battery Sensor Selection Mechanism for Internal Resistance
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Solution Overview
Problem
Existing methods for determining the internal resistance of a battery face challenges in achieving a high sampling rate while minimizing computational effort, which is crucial for accurately detecting small current and voltage fluctuations, especially in hybrid and electric vehicles.
Innovation Solution
An electronic battery sensor with a selection mechanism that chooses a subset of measurement pairs for processing, allowing for high sampling rates while reducing the computational load on the battery model, and includes features like bandpass filtering and phase adjustment to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high sampling rate is used for acquiring measurement signals, then the detection accuracy of small current and voltage fluctuations is improved, but the computational effort for calculating internal resistance increases
Solution Approach 1:
The patent extracts and processes only a subset of measurement pairs for internal resistance calculation. The selection means identifies and selects specific measurement pairs from the high-rate sampled data, processing only these selected pairs through the battery model rather than all sampled pairs, thus reducing computational effort while maintaining detection accuracy.
Solution Approach 2:
The patent segments the continuous stream of measurement pairs into selected subsets for processing. The selection means divides the high-frequency measurement data into groups, selecting specific pairs based on predetermined criteria, allowing the system to handle data in manageable segments rather than processing everything continuously.
2Measurement precision
If all measurement pairs are processed for internal resistance calculation, then the calculation accuracy is improved, but the processing time increases
Solution Approach 1:
The patent extracts only the necessary measurement pairs for accurate internal resistance calculation. The selection means identifies specific pairs that meet predetermined criteria, extracting these from the full dataset for processing by the battery model, thereby reducing processing time while maintaining calculation accuracy.
Solution Approach 2:
The patent applies partial action by processing only a subset of measurement pairs rather than all available pairs. The selection means determines which pairs are sufficient for accurate calculation, processing fewer pairs than the total available, thus reducing processing time while achieving the required accuracy through selective sampling.
Data Source
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AI summary
The invention relates to an electronic battery sensor (10) and a method for determining an internal resistance (Ri) of a battery (20) comprising at least one first acquisition means (40) for acquiring measurement values (50) and a battery model (30) for determining the internal resistance (Ri), wherein each measurement value (50) simultaneously comprises information about at least two corresponding measurement variables, in particular battery current (lBatt) and battery voltage (UBatt), and wherein two sequential measurement values (50) each represent a measurement pair (60). The essence of the invention consists in that the battery sensor (10) comprises at least one selection means (70), which is designed to select at least one measurement pair (60) as a selection pair (80) from a specified number of measurement pairs (60) and to provide the selection pair to the battery model (30) for determining the internal resistance (Ri), wherein the number of measurement pairs (60) is greater than the number of selection pairs (80).