Lead-Acid Battery Post Sensing for Cell-Level Health Prediction
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Solution Overview
Problem
Traditional lead-acid batteries lack intelligence and communication capabilities, making it difficult to detect individual cell health and deterioration, leading to potential battery failures and reduced recycling efficiency.
Innovation Solution
An intelligent lead-acid battery system with 'smart' sensor technology that monitors cell voltage, current, temperature, and other parameters to predict the battery's state of health, charge, and life expectancy, enabling proactive replacement and improved charging management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lead-acid batteries are used without intelligence or communication capabilities, then device complexity is reduced and manufacturing cost is lower, but measurement precision of individual cell health and battery state cannot be achieved
Solution Approach 1:
The patent divides the battery system into individually monitorable cells, with each cell equipped with its own voltage sensing capability. This segmentation allows precise measurement of individual cell health parameters while maintaining a manageable overall system structure through modular monitoring architecture.
Solution Approach 2:
The patent introduces a battery management system as an intermediary that collects, processes, and analyzes data from individual cell sensors. This mediator translates raw sensor data into actionable health assessments, enabling precise measurement without requiring direct complex integration of all sensing components.
2Reliability
If individual cell monitoring is implemented, then reliability of battery operation is improved through early failure detection, but device complexity increases due to additional sensors and monitoring systems
Solution Approach 1:
The patent implements preliminary monitoring of individual cell parameters to detect early signs of deterioration before actual failure occurs. By continuously tracking voltage and other health indicators, the system performs preliminary assessments that enable proactive maintenance and prevent catastrophic failures, thereby improving reliability.
Solution Approach 2:
The patent establishes a feedback loop where sensor data from individual cells is continuously monitored and used to adjust battery management strategies. This real-time feedback mechanism enables the system to respond to changing cell conditions, maintaining optimal operation and improving overall reliability through adaptive control.
3Loss of information
If battery sensors are added to provide overall battery health parameters, then information about battery status is improved, but difficulty of detecting and measuring individual cell failure increases
Solution Approach 1:
The patent segments the battery monitoring function into cell-level measurements, where each cell's voltage and health parameters are measured independently. This segmentation prevents the masking effect that occurs with only overall battery monitoring, making individual cell failures detectable while still providing comprehensive battery health information.
Solution Approach 2:
The patent adds a new dimension of measurement by implementing cell-level monitoring alongside traditional overall battery monitoring. This multi-dimensional approach transforms the monitoring system from a single aggregate view to a hierarchical structure that simultaneously provides both macro-level battery status and micro-level cell-specific data, eliminating information loss.
Data Source
AI summary
Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.


