Adaptive SoC Window Control for Aging Energy Storage Systems
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Solution Overview
Problem
Existing Energy Storage Systems (ESS) face challenges in maintaining optimal State-of-Charge (SoC) windows due to battery aging, leading to inefficient energy utilization and accelerated degradation, which is not adequately addressed by fixed SoC window strategies.
Innovation Solution
An adaptive SoC window control strategy iteratively adjusts the SoC window limits within predefined limits to maintain target usable energy, minimizing abrupt changes and reducing errors, thereby optimizing energy delivery and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed SoC window strategy is used, then the control system is simple and stable, but the system cannot adapt to battery aging leading to reduced usable energy and accelerated degradation
Solution Approach 1:
The SoC window is transformed from a fixed static parameter to a dynamic adaptive parameter that automatically adjusts based on battery state-of-health (SoH). The control system continuously monitors battery aging and modifies the SoC window limits accordingly, enabling the system to adapt to changing battery conditions while maintaining manageable complexity through automated feedback control
Solution Approach 2:
The invention changes the operational parameters of the SoC window (upper and lower limits) based on battery SoH. As the battery ages and capacity fades, the SoC window parameters are dynamically adjusted to maintain optimal usable energy and prevent accelerated degradation, transforming a static parameter into a variable one that responds to battery condition
2Productivity
If the SoC window is adjusted rapidly to compensate for battery aging, then the usable energy is restored quickly, but abrupt changes are noticeable to users and may cause instability
Solution Approach 1:
The SoC window adjustment is implemented as a periodic gradual process rather than an instantaneous change. The control system makes incremental adjustments over multiple charging cycles, allowing the battery and control system to adapt smoothly to new window limits. This periodic adjustment approach maintains energy delivery efficiency while ensuring system stability and user comfort
Solution Approach 2:
The invention incorporates cushioning mechanisms by implementing gradual transition phases when adjusting the SoC window. Buffer zones and transition periods are built into the control strategy to prevent abrupt changes, cushioning the impact of parameter adjustments on battery stress and user experience while maintaining long-term reliability
3Loss of time
If large instantaneous changes are made to the SoC window, then the target usable energy is achieved faster, but errors in input parameters are propagated directly leading to larger inaccuracies
Solution Approach 1:
The control system applies partial adjustments to the SoC window in each iteration rather than making full corrective changes. By implementing incremental modifications based on measured deviations from target usable energy, the system achieves the desired energy levels over time while filtering out measurement errors and preventing propagation of inaccurate parameter readings
Data Source
AI summary
A computer system for adapting a State-of-Charge window of an Energy Storage System is provided, including processing circuitry to obtain a target usable energy value for an ESS, and improve a matching between i) the target usable energy value and ii) a current usable energy value of the ESS in accordance with a SoC window for the ESS, by iteratively adapting the SoC window for the ESS over a plurality of iteration steps, wherein the processing circuitry is further configured to, for each iteration step, update the SoC window for the ESS with no more than a predefined maximum amount.