Battery Charging Model Updates for Aging-Aware Fast Charging
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Solution Overview
Problem
Existing battery charging methods do not effectively account for battery aging, leading to inaccurate estimation of charging limits and accelerated aging when using outdated battery models, which reduces battery life.
Innovation Solution
A method that estimates the aging mode of a battery by comparing its characteristics to those of reference batteries with different aging factors and degrees, updating the battery model to reflect the aging factor and degree, and charging the battery using a multi-step charging method based on the updated model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional charging methods use fixed battery models without aging consideration, then charging process is simple, but charging limit estimation is inaccurate and battery aging accelerates
Solution Approach 1:
The patent applies dynamics by transitioning from a static battery model to a dynamic model that adapts to aging. The battery model is continuously updated based on aging degree and aging mode (Li plating or capacity fading), allowing the charging control system to adjust charging limits dynamically according to the battery's current state, thereby improving estimation accuracy without requiring complete model redesign.
Solution Approach 2:
The patent changes key parameters of the battery model based on detected aging characteristics. When Li plating is detected, the model adjusts charging voltage and current limits; when capacity fading is detected, it modifies capacity-related parameters. This parameter adaptation allows accurate charging limit estimation while maintaining model structure, resolving the contradiction between accuracy and complexity.
2Productivity
If high currents are used for fast charging, then charging speed increases, but battery aging accelerates
Solution Approach 1:
The patent implements dynamic charging current adjustment based on real-time battery state assessment. The charging current is not fixed but varies according to the battery's aging degree and detected aging mode, allowing high current charging when the battery is healthy and lower current when aging signs appear, thus balancing charging speed and battery life extension.
Solution Approach 2:
The patent employs feedback mechanisms where the charging control system continuously monitors battery characteristics, detects aging modes (Li plating or capacity fading), and adjusts charging parameters accordingly. This closed-loop feedback allows the system to optimize charging speed while preventing accelerated aging, resolving the contradiction between productivity and battery longevity.
3Measurement precision
If battery model is updated frequently to reflect aging, then charging accuracy improves, but computational burden and time increase
Solution Approach 1:
The patent applies partial action by updating only the necessary portions of the battery model based on detected aging modes rather than complete model reconfiguration. When Li plating is detected, only voltage and current limit parameters are adjusted; when capacity fading occurs, only capacity-related parameters are modified. This selective updating maintains accuracy while minimizing computational overhead and time loss.
Solution Approach 2:
The patent efficiently updates model parameters based on aging detection results without requiring full model reconstruction. By changing specific parameters (charging limits, capacity values) rather than the entire model structure, the system achieves improved estimation accuracy with minimal computational burden and time expenditure.
Data Source
AI summary
A method and apparatus for charging a battery that estimates an aging mode of the battery that reflects an aging factor and an aging degree of the battery based on a battery characteristic corresponding to a charging level of the battery, updates a battery model based on the aging mode, and charges the battery using the updated battery model.