Rechargeable Battery Lifetime Prognosis Using Cumulative Consumption
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Solution Overview
Problem
Traditional methods for predicting the lifetime of rechargeable batteries are inaccurate due to their reliance on idealized charging and discharging cycles, which do not reflect real-world usage patterns characterized by random and incomplete charging and discharging processes.
Innovation Solution
A method based on cumulative-consumption-indicators, such as accumulated charging and discharging electricity quantities, durations, and rest periods, is used to construct a comprehensive lifetime index and dynamic degradation model for more accurate lifetime prognosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional charging-discharging cycle counting method is used, then the lifetime prognosis can be calculated, but the accuracy is poor due to idealized conditions not matching real-world usage
Solution Approach 1:
The patent changes the fundamental parameter for lifetime prognosis from charging-discharging cycle count to cumulative consumption indicators (electricity quantity, duration, rest period). This parameter transformation enables accurate tracking of battery degradation under real-world randomized usage patterns, resolving the contradiction between measurement accuracy and adaptability to practical scenarios
Solution Approach 2:
The patent introduces a dynamic degradation model that continuously updates lifetime prognosis based on real-time cumulative consumption data. Unlike static cycle-based methods, this dynamic approach adapts to varying usage patterns, maintaining high accuracy across different real-world scenarios while preserving the ability to generate prognosis results
2Ease of manufacture
If charging-discharging cycles are used as lifetime index, then the methodology is simple, but it is inaccurate for random usage habits with discontinuous charging and discharging
Solution Approach 1:
The patent creates a universal lifetime prognosis method using cumulative consumption indicators that functions across all usage scenarios - whether regular cycling, random usage, discontinuous charging, or long-term plug-in situations. This multi-functional approach maintains methodology simplicity while achieving universal applicability and accuracy across diverse battery usage patterns
Solution Approach 2:
The patent implements continuous monitoring and accumulation of consumption indicators (electricity quantity, duration, rest period) throughout battery operation. This continuous data collection and accumulation process replaces the discrete cycle-counting approach, maintaining simplicity while continuously tracking degradation to improve accuracy under any usage condition
3Stability of the object's composition
If idealized charging-discharging experiments are conducted, then the degradation data has good regularity, but it does not reflect actual user usage patterns
Solution Approach 1:
The patent introduces cumulative consumption indicators as an intermediary measurement that bridges the gap between controlled experiments and real-world usage. These indicators (accumulated electricity quantity, duration, rest period) serve as mediators that capture degradation effects from both idealized and random usage, enabling reliable prognosis that reflects actual user patterns while maintaining analytical regularity
Data Source
AI summary
The present Disclosure belongs to the technical field related to the lifetime prognosis of rechargeable-batteries, and discloses a method, device, electronic equipment and computer-readable storage medium for lifetime prognosis of rechargeable-battery based on cumulative-consumption-indicators, which is capable to deal with random charging and discharging, irregular resting, calendar ageing, changing operation-conditions or some other phenomena that widely exist in the practical applications of rechargeable-batteries.The present Disclosure designs and adopts the comprehensive-lifetime-index and health-status-index to describe the degradation process of the rechargeable-battery, and may also consider different operating-conditions and their influence on degradation trend, and further could make feature fusion with one or a plurality of the comprehensive-lifetime-indicators or one or a plurality of the key-performance-indicators according to actual needs. As a result, the disclosure significantly improves the accuracy of the remaining-lifetime prognosis of rechargeable-batteries, especially in daily practical applications.


