ESD Aging Model for Charge Policy Management
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Solution Overview
Problem
Energy storage devices (ESDs) face challenges in accurately predicting aging due to varying operating conditions, leading to performance degradation and reduced lifespan, making it difficult to manage their utilization effectively.
Innovation Solution
Developing aging models to predict performance loss in ESDs under specific conditions, allowing for the determination of charge and discharge policies that maintain performance within thresholds for targeted usage periods, thereby extending the usable life of ESDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If ESD is charged at higher charge rates, then charge time is reduced, but ESD aging accelerates and useful life is shortened
Solution Approach 1:
The system performs preliminary actions by developing and applying aging models before charging operations to predict and prevent excessive aging. The aging model is applied in advance to determine safe charge rates and policies that will maintain ESD performance within acceptable thresholds throughout the desired usage period.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring ESD performance parameters and using this information to adjust charge policies dynamically. The aging model provides feedback on predicted performance degradation, allowing the system to modify charging rates and strategies to maintain ESD health while optimizing charge time.
2Power
If ESD is subjected to strenuous discharge conditions, then power output is increased, but ESD aging accelerates and performance degrades
Solution Approach 1:
The system applies preliminary action by using aging models to predict the impact of strenuous discharge conditions before they occur. The model allows the system to plan and manage discharge operations in advance, determining safe discharge rates and durations that will maintain ESD performance within acceptable thresholds while still meeting power demands.
Solution Approach 2:
The system implements dynamics by adjusting discharge rates and power output levels dynamically based on real-time ESD state and predicted aging effects. The aging model provides continuous guidance for adapting discharge policies to maintain performance stability while optimizing power delivery under varying conditions.
3Duration of action of stationary object
If ESD operating conditions are optimized for longevity, then ESD useful life is extended, but charge and discharge rates are reduced
Solution Approach 1:
The system uses preliminary action through aging models to determine optimal charge and discharge policies in advance that balance longevity with productivity. By predicting aging effects before operations occur, the system can set appropriate rates and thresholds that will extend ESD life while still meeting application requirements for charge and discharge performance.
Solution Approach 2:
The system applies parameter changes by dynamically adjusting charge and discharge rates, voltage thresholds, and other operating parameters based on the aging model's predictions. This allows the system to optimize parameters for each specific operating condition to extend ESD life while maintaining acceptable productivity levels.
Data Source
AI summary
An energy storage device (ESD) manager may be configured to utilize and/or develop aging models configured to model age-related performance degradation predicted to be incurred by an ESD under respective operating conditions. The aging model of an ESD may be used to determine operating conditions that satisfy the performance and/or endurance requirements of an application. The ESD manager may generate a policy to manage operation of the ESD in accordance with the determined operating conditions. For example, the aging model may be used to determine discharge conditions predicted to ensure that performance degradation incurred by the ESD remains below a threshold for a specified usage period. The discharge conditions may be used to determine a discharge configuration adapted to configure the application to utilize the ESD in accordance with the determined discharge conditions.