Communication Interface Data Formatting for Lower Power Loss
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Solution Overview
Problem
Communication interfaces, such as CAN buses, experience differential power loss based on transmitted bits, leading to increased costs for heat dissipation or more expensive circuits due to higher power loss, particularly in applications like automotive engineering where radar sensors are connected.
Innovation Solution
Selecting the data format of transmitted data and address data to maximize the number of bits with lower power loss, reducing the overall power loss by increasing the frequency of bits with lower current consumption, such as recessive bits in CAN buses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data format is selected to maximize bits with lower power loss, then power loss during transmission is reduced, but data representation may become more complex
Solution Approach 1:
The patent changes the parameter of bit representation in data formats to reduce power loss. Specifically, it inverts the conventional meaning of dominant and recessive bits, or selects data formats with more zeros instead of ones, thereby changing the electrical characteristics of transmitted bits to achieve lower power consumption during communication.
Solution Approach 2:
The patent applies inversion by reversing the conventional assignment of logical values to bit states. Instead of using the standard dominant/recessive bit configuration, it inverts the bit meanings or inverts specific bit patterns in data representation, which causes bits with lower power consumption to become more frequent in the transmission.
2Ease of manufacture
If standard data formats are used, then ease of implementation is improved, but power loss increases due to higher frequency of high-loss bits
Solution Approach 1:
The patent modifies the parameter of bit frequency distribution in data formats while maintaining compatibility with standard communication protocols. By changing which bit values (0 or 1) appear more frequently in typical data patterns, it achieves lower power loss without requiring fundamental changes to the communication infrastructure.
Data Source
AI summary
A method for loss reduction in a communication interface having differential power loss as a function of a transmitted bit. A data format of transmitted data and/or a data format of address data that characterize the addresses of communication subscribers is selected as a function of the expected number of bits having higher power loss and/or the expected number of bits having lower power loss in the data, in such a way that the number of bits having lower power loss is increased.