Battery Pack Counter-Based Parameter Logging for Storage Optimization
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Solution Overview
Problem
The challenge lies in managing the long lifetime of battery packs used in home appliances, electric cars, and energy storage systems, where storing the history of various battery parameters is difficult due to insufficient storage capacity and increased costs.
Innovation Solution
A battery pack with a battery managing unit that measures parameters like cell voltage, temperature, and current, using counters to store data in a non-volatile memory, allowing for predictive maintenance and defect recognition, while minimizing storage space and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the history of battery parameters is stored in detail, then the reliability and predictive capability improve, but the storage capacity requirement and cost increase
Solution Approach 1:
The patent extracts only the essential parameter histories needed for battery life prediction (voltage, temperature, current) and stores them in a condensed format using counters that record cumulative values, rather than storing complete detailed logs of all parameters
Solution Approach 2:
Instead of storing raw parameter data and processing it later, the system inverts the approach by directly computing and storing condensed statistical values (cumulative sums, maximums, minimums) in real-time during battery operation, reducing storage requirements while maintaining prediction accuracy
2Measurement precision
If the sampling period is shortened to capture more detailed battery behavior, then the measurement precision improves, but the data volume and storage requirements increase
Solution Approach 1:
The system extracts only the essential statistical features (cumulative sums, extremes) from the measured parameters at each sampling interval, rather than storing every individual measurement point, thereby maintaining measurement precision for prediction while drastically reducing data volume
Solution Approach 2:
The system performs periodic sampling of battery parameters at predetermined intervals and accumulates data over logging periods, processing and storing condensed results periodically rather than continuously, which reduces computational and storage overhead while maintaining adequate measurement precision
3Reliability
If comprehensive battery parameter monitoring is implemented, then the defect recognition capability improves, but the device complexity increases
Solution Approach 1:
The battery managing unit is designed with multi-functionality, serving both as a monitoring system for defect detection and as a prediction system for remaining life estimation, using the same condensed data storage structure for both purposes, thereby reducing overall system complexity
Solution Approach 2:
The system performs self-diagnosis and self-monitoring by automatically comparing stored parameter histories against predefined thresholds and patterns, enabling defect recognition without requiring external complex analysis systems
Data Source
AI summary
A battery pack is disclosed. In one aspect, the battery pack includes a battery including at least one battery cell and a battery managing unit for controlling charging and discharging of the battery. The battery managing unit includes a measuring unit measuring at least one parameter of the battery per sampling period and generating measurement data. The battery managing unit also includes a control unit including a plurality of counters corresponding to a plurality of sections defined with respect to the parameter and configured to increment a counter corresponding to the section including the measurement data. The battery managing unit also includes a storage unit storing counter values of the counters in a predetermined address per logging period.