Adaptive Battery SOC Window for Low- and High-Charge Degradation
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Solution Overview
Problem
Conventional limited charging methods for lithium-ion batteries extend battery longevity by avoiding high State-Of-Charge (SOC) regions but fail to address degradation in low SOC regions, particularly in next-generation batteries with Silicon anodes that experience mechanical stress during charging and discharging.
Innovation Solution
An adaptive battery usage window is implemented, adjusting the charging and discharging limits to avoid high degradation regions in both high and low SOC areas, using a battery microcontroller and computing system to control the SOC based on multiple limited charging modes, machine-learning algorithms, and historical data to minimize degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If conventional limited charging methods are used to avoid high SOC regions, then battery longevity is extended in high SOC areas, but degradation in low SOC regions is not addressed
Solution Approach 1:
The patent segments the battery SOC range into multiple degradation risk zones (high SOC regions and low SOC regions) and applies different charging strategies for each segment. The system identifies specific degradation regions based on battery chemistry and operational conditions, then implements region-specific charge limits rather than a single universal limit, thereby addressing degradation across the entire SOC spectrum.
Solution Approach 2:
The patent implements dynamic adjustment of the usage window based on real-time battery conditions, state of health, temperature, and operational patterns. The charge limits are not fixed but adapt continuously to changing battery characteristics and environmental conditions, allowing the system to optimize protection against degradation in both high and low SOC regions while maintaining versatility across different operating scenarios.
2Device complexity
If a fixed usage window is applied to avoid degradation, then simplicity is maintained, but adaptability to different battery conditions and usage patterns is reduced
Solution Approach 1:
The patent incorporates feedback mechanisms that continuously monitor battery state of health, temperature, charge cycles, and operational patterns. This feedback informs dynamic adjustments to the usage window, allowing the system to adapt to different battery conditions and usage patterns. The feedback loop enables the system to learn from historical data and optimize charge limits without requiring complex manual configuration.
Solution Approach 2:
The system performs self-adjustment of charging parameters based on monitored battery conditions and historical performance data. The battery management system automatically modifies usage windows and charge limits without external intervention, using embedded algorithms to assess degradation risks and optimize protection strategies. This self-service capability reduces the need for complex external control while maintaining high adaptability.
Data Source
AI summary
Methods and apparatus relating to an adaptive battery usage window to extend battery longevity are described. In an embodiment, a State Of Charge (SOC) for a rechargeable battery is controlled based on a plurality of limited charging modes that may selectively allow/prevent charging/discharging of the rechargeable battery to target level(s). Other embodiments are also disclosed and claimed.