Sigma-Delta Signal Conversion for Lower-Complexity Battery DSP
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Solution Overview
Problem
Existing digital signal processing apparatuses require complex analog-to-digital converters to perform digital processes on analog signals, which complicates the conversion and processing workflow.
Innovation Solution
A digital signal processing apparatus that includes a modulation part for pulse density modulation, a memory for storing conversion programs, and a CPU for converting pulse density modulation signals to pulse code modulation data, with a sigma-delta converter and detection parts for battery voltage, current, and temperature monitoring, allowing for efficient digital processing and battery charge calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If an analog-to-digital converter is used to convert analog signals to digital data before supplying to CPU, then digital processing can be performed on analog signals, but the converter configuration becomes complicated
Solution Approach 1:
The patent segments the A/D conversion process into two distinct stages: first, a sigma-delta modulator performs pulse density modulation on the analog signal to generate a high-frequency PDM signal; second, a decimation filter processes the PDM signal to produce the final digital output. This segmentation allows each component to be simpler in design while collectively achieving high-resolution conversion, thereby resolving the contradiction between ease of manufacture and device complexity.
Solution Approach 2:
The patent introduces pulse density modulation (PDM) as an intermediary representation between the analog input and the final digital output. The sigma-delta modulator converts analog signals to PDM signals, which then serve as an intermediate form that can be easily processed by the decimation filter. This intermediary approach simplifies the overall conversion architecture while maintaining high conversion accuracy.
2Ease of operation
If a complex analog-to-digital converter is used for digital processing, then analog signals can be converted to digital data, but the conversion process becomes complicated
Solution Approach 1:
The conversion process is divided into two manageable operations: pulse density modulation by the sigma-delta modulator and decimation filtering. This segmentation makes the conversion process easier to understand, implement, and maintain, while achieving the same functional result as a complex single-stage converter would provide.
Solution Approach 2:
The sigma-delta modulator inherently performs noise shaping and oversampling, which automatically improve the signal-to-noise ratio without requiring additional complex filtering stages. This self-service characteristic simplifies the overall conversion process while maintaining high accuracy.
3Productivity
If conventional A/D conversion is used, then digital processing can be achieved, but CPU workload increases
Solution Approach 1:
The decimation filter performs preliminary processing on the PDM signal by averaging multiple samples and reducing the data rate before the data reaches the CPU. This preliminary action significantly reduces the volume of data that the CPU must process, thereby decreasing CPU workload and processing time while preserving the essential signal information.
Solution Approach 2:
The patent extracts and removes redundant high-frequency components from the PDM signal through the decimation filter before presenting the processed data to the CPU. By taking out only the necessary low-frequency signal components and discarding the redundant oversampled data, the system reduces CPU workload while maintaining processing accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution simplifies the conversion process by using a sigma-delta modulator and CPU-based processing, reducing the complexity of analog-to-digital conversion and enabling efficient battery charge calculation with reduced CPU workload.
Implementation Method 1
a modulation part for performing pulse density modulation on the analog signal and outputting a pulse density modulation signal
Implementation Method 2
a CPU for receiving the pulse density modulation signal from the modulation part and converting the received pulse density modulation signal to pulse code modulation data
Implementation Method 3
the detection part includes a voltage detection part for detecting voltage of the battery
Implementation Method 4
a current detection part for detecting charge current and discharge current of the battery
Implementation Method 5
a temperature detection part for detecting temperature
Implementation Method 6
the CPU calculates the amount of charge remaining in the battery by integrating the pulse code modulation data of the charge current and discharge current of the battery
Data Source
AI summary
A digital signal processing apparatus for converting an analog signal to a digital signal and digitally processing the digital signal is disclosed. The apparatus includes a modulation part for performing pulse density modulation on the analog signal and outputting a pulse density modulation signal, a memory for storing a conversion program for converting the pulse density modulation signal to pulse code modulation data, and a CPU for receiving the pulse density modulation signal from the modulation part and converting the received pulse density modulation signal to pulse code modulation data according to the conversion program stored in the memory.