Dynamic Battery Capacity Threshold for Load Assessment
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Solution Overview
Problem
Smart batteries often report being unsuitable for a load before or after replacement is necessary due to manufacturer-set thresholds that do not account for varying load requirements, leading to inefficient resource use and potential system failures.
Innovation Solution
A smart battery backup unit with a battery management unit that assesses its suitability for a specific load by comparing its full-charge capacity to a dynamically determined capacity threshold based on the load's power requirements, allowing for accurate determination of whether it can support the load for a specified period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed manufacturer-set threshold is used to determine battery suitability, then the battery management system is simple to implement, but the determination accuracy for different load types is poor
Solution Approach 1:
The patent implements dynamic adjustment of the capacity threshold based on load characteristics. Instead of using a fixed manufacturer-set threshold, the system dynamically determines the threshold by obtaining load power consumption data and calculating the required capacity threshold based on the relationship between power consumption, discharge voltage, and discharge current. This allows the threshold to adapt to different load types and conditions, improving determination accuracy while maintaining reasonable system complexity through automated calculations.
Solution Approach 2:
The patent changes the capacity threshold parameter from a fixed value to a variable that adapts to different operating conditions. By modifying the threshold parameter based on actual load requirements, the system achieves accurate battery suitability determination for various load types without requiring complex manual configuration for each scenario.
2Reliability
If replacement is made early based on fixed thresholds, then system reliability is maintained, but battery resource utilization efficiency decreases
Solution Approach 1:
The patent dynamically adjusts the capacity threshold parameter based on actual load requirements, enabling more accurate determination of when battery replacement is truly necessary. This prevents premature replacement that would occur with fixed thresholds, thereby improving battery resource utilization efficiency while maintaining system reliability through load-appropriate assessments.
Solution Approach 2:
The system performs self-assessment by automatically obtaining load power consumption data and calculating the appropriate capacity threshold without external intervention. This enables the battery management system to make informed decisions about battery suitability based on actual operational requirements, optimizing both reliability and resource utilization.
3Productivity
If replacement is made late to maximize battery usage, then resource efficiency improves, but risk of system failure increases
Solution Approach 1:
The patent implements dynamic threshold adjustment that adapts to different load types and conditions, enabling the system to accurately determine battery suitability for each specific scenario. This dynamic approach allows the system to extend battery usage when appropriate (improving resource efficiency) while promptly identifying when replacement is necessary (maintaining reliability), avoiding both premature and delayed replacement.
4Adaptability or versatility
If a single threshold is used for all loads, then the system is easy to operate, but adaptability to different load requirements is poor
Solution Approach 1:
The patent makes the capacity threshold dynamic and adaptive to different load types through automated calculations. The system obtains load power consumption data and dynamically determines the appropriate threshold based on the specific load characteristics, achieving high adaptability without requiring complex manual configuration or operation from the user.
Solution Approach 2:
The battery management system performs self-configuration by automatically obtaining load data and calculating the appropriate capacity threshold. This eliminates the need for manual threshold setting for different load types, maintaining ease of operation while achieving full adaptability to various load requirements.
Data Source
AI summary
Described herein is a smart battery unit capable of assessing its suitability to support a particular load. In some embodiments, the battery unit may receive an indication of power requirements for the particular load with respect to a period of time and may evaluate a total electrical capacity that would be required to support such a load based on those power requirements. The battery backup unit may monitor and dynamically update a full-charge capacity value related to its battery cells as well as the capacity requirement related to the load. The two values may then be compared to determine whether the battery backup unit is capable of supporting the load. If the full-charge capacity value is less than the capacity requirement for the load, then the battery unit may determine that it is not suitable for that load.