Battery Data Compression Coding for Real-Time BMS Transmission
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Solution Overview
Problem
Existing battery management systems face challenges in transmitting large amounts of battery information in real time due to resource constraints, leading to inefficiencies in communication and processing.
Innovation Solution
A battery information compression apparatus and method that encodes battery information using a communication code generating unit to determine representative values and reference values, applying preset encoding rules to generate first and second encoding codes, thereby compressing the data into a communication code for efficient transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery information is transmitted without compression, then data accuracy is maintained, but system resources and communication bandwidth are excessively consumed
Solution Approach 1:
The patent extracts only the essential and changing battery information parameters for transmission, rather than transmitting all raw data. The BMS identifies and transmits only relevant battery status changes, reducing communication load while maintaining necessary data accuracy for monitoring and control functions.
Solution Approach 2:
The patent changes the parameter representation by encoding battery information in a compressed format with variable precision. Different battery parameters are transmitted with appropriate precision levels based on their importance and change rate, optimizing the balance between data accuracy and communication efficiency.
2Loss of information
If all battery information is transmitted in block units, then data completeness is ensured, but real-time transmission capability is lost
Solution Approach 1:
The patent segments battery information transmission into individual parameter units rather than transmitting complete data blocks. Each battery parameter can be transmitted independently and asynchronously, enabling real-time transmission of critical information while maintaining overall data completeness through selective reporting.
Solution Approach 2:
The patent implements periodic transmission of battery information based on change thresholds and time intervals. Critical parameters are transmitted immediately when thresholds are exceeded, while less critical parameters follow periodic schedules, achieving both real-time responsiveness and data completeness.
3Productivity
If compression encoding is applied to battery information, then communication efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent implements self-service compression where the BMS automatically performs encoding and compression of battery information using predefined rules and thresholds. The system serves itself by autonomously identifying which parameters need transmission, applying appropriate compression algorithms, and managing communication resources without external intervention, thereby improving efficiency without proportionally increasing complexity.
Data Source
AI summary
A battery information compression apparatus according to an embodiment of the present disclosure includes a battery information obtaining unit obtaining battery information for each of a plurality of batteries; and a communication code generating unit determining a representative value for a plurality of battery information, calculating a reference value for each of the plurality of battery information based on the plurality of battery information and the representative value, determining a first encoding code corresponding to the representative value and a second encoding code corresponding to the plurality of determined reference values according to a preset encoding rule, and generating a communication code including the first encoding code and the second encoding code.