Battery Pack Wireless Channel Selection for Stable BMS Communication
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Solution Overview
Problem
Existing battery management systems face challenges in providing reliable wireless communication due to interference and varying electric field intensities within the vehicle's battery pack housing, leading to communication failures and data loss.
Innovation Solution
The system employs learning data to determine target frequency channels for wireless communication, excluding channels with poor communication quality based on electric field intensity distribution, ensuring stable and reliable data transmission between monitoring and control devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication is performed in a battery pack housing, then data transmission between monitoring and control devices is enabled, but communication reliability deteriorates due to interference and varying electric field intensities
Solution Approach 1:
The system performs preliminary measurements of electric field intensity distribution within the battery pack housing before establishing wireless communication. Based on these pre-acquired measurements, the system identifies and selects frequency channels with favorable communication conditions, avoiding channels that would be subject to strong interference or low electric field intensity. This preliminary characterization of the electromagnetic environment enables proactive optimization of communication reliability.
Solution Approach 2:
The system dynamically changes the communication parameter (frequency channel selection) based on the measured electric field intensity distribution. By adjusting which frequency channel is used for wireless communication, the system adapts to the varying electromagnetic conditions within the battery pack housing, selecting channels that provide more stable and reliable communication while avoiding those affected by interference or poor field conditions.
2Adaptability or versatility
If frequency channel hopping is performed without considering electric field intensity, then communication flexibility is improved, but communication quality deteriorates due to selection of poor channels
Solution Approach 1:
The system changes the frequency channel parameter dynamically, but unlike conventional approaches that hop through all available channels, this system selectively changes channels based on pre-measured electric field intensity data. The channel selection is optimized to maintain both flexibility (ability to switch channels) and quality (avoiding poor channels), achieving a balance between adaptability and communication reliability.
Solution Approach 2:
The system converts the potentially harmful effect of electric field variations into a beneficial selection criterion. By measuring and identifying regions of low electric field intensity or high interference, the system uses this information to deliberately avoid those frequency channels, transforming knowledge of the electromagnetic environment's weaknesses into a strategy for maintaining communication quality.
Data Source
AI summary
A battery management system in a vehicle includes: monitoring devices arranged in a housing accommodating battery; and a control device arranged in the housing, acquiring battery information from the monitoring devices, and performing a predetermined process. The control device stores, in advance as learning data, data that correlates with an electric field intensity in the housing for frequency channels that are usable to transmit and receive data to and from each of the monitoring devices performing wireless communication. The control device determines a target frequency channel of the frequency channel hopping based on the learning data.