Energy Storage Power Distribution Control
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Solution Overview
Problem
Existing energy storage systems face inefficiencies in power distribution due to uniform power allocation across multiple energy storage devices, neglecting individual device characteristics such as state of charge, temperature, and aging, leading to suboptimal performance and potential premature aging.
Innovation Solution
A method for determining a relative power component for each energy storage device by forecasting its maximum charging and discharging power, considering voltage, current, and energy limits, and using these values to optimize power distribution based on device-specific parameters, ensuring proportional allocation according to predicted performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform power distribution is applied across all energy storage devices, then the control and operation is simple, but the individual device characteristics such as state of charge, temperature, and aging are not considered leading to suboptimal performance
Solution Approach 1:
The patent applies local quality by determining individual power components for each energy storage device based on its specific characteristics (state of charge, temperature, aging) rather than uniform distribution. The control unit calculates device-specific maximum charging and discharging powers and uses these to allocate power proportionally, ensuring each device operates within its optimal performance envelope while contributing to the overall system power requirement.
2Productivity
If individual device characteristics are considered for power distribution, then the system performance is optimized, but the calculation complexity and control difficulty increase
Solution Approach 1:
The patent utilizes parameter changes by dynamically adjusting the power distribution based on real-time device parameters (state of charge, temperature, aging). The control unit continuously monitors these parameters and recalculates the individual power components and proportional allocation factors, enabling adaptive optimization without requiring complex control algorithms. The system transforms static uniform power distribution into dynamic parameter-based distribution.
3Power
If maximum power is allocated to each device without considering individual limits, then the total power output is maximized, but device lifespan is reduced due to premature aging
Solution Approach 1:
The patent applies dynamics by making the power allocation flexible and adaptive rather than static. The control unit determines the maximum charging and discharging powers for each device based on current operating conditions and device state, then dynamically adjusts the individual power components and proportional allocation. This dynamic approach allows the system to maximize power output when devices are healthy while automatically reducing stress on aging devices, thereby extending overall system lifespan.
4Reliability
If proportional allocation based on predicted performance is used, then device lifespan is extended and performance is optimized, but the forecasting and calculation requirements increase
Solution Approach 1:
The patent applies preliminary action by performing forecasts of maximum charging and discharging powers before actual power distribution. The control unit predicts the capabilities of each energy storage device based on their current state (state of charge, temperature, aging) and uses these predictions to determine proportional allocation factors in advance. This preliminary forecasting enables the system to make informed power distribution decisions that extend device lifespan while maintaining computational efficiency.
Data Source
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AI summary
The invention relates to a method for determining a relative power share (Pk; k = 1, ..., n) of an electrical energy storage device (10-k; k = 1, ..., n) of an energy storage arrangement (10) of a plurality of electrical energy storage devices (10-k; k = 1, ..., n), in particular at an externally requested and/or provided electrical power (pPsoll), in which (i) for the and in particular for each electrical energy storage device (10-k; k = 1, ..., n) of the energy storage arrangement (10) a currently available maximum electrical charging power and/or a currently available maximum electrical discharging power and/or at a characteristic value is determined, in particular by prediction, (i) the determined currently available maximum electrical charging power (Pch,k, k = 1, ..., n) and/or discharge power (Pdch,k, k = 1, ..., n) of the electrical energy storage device (10-k; k = 1, ..., n) is related to the currently available total electrical charging power (Pch,total) and/or total discharge power (Pdch,k,total) of all electrical energy storage devices (10-k; k = 1, ..., n) of the energy storage arrangement (10) in sum and (iii) a respective determined ratio as relative electrical power share (Pk; k = 1, ..., n) of the respective electrical energy storage device (10) and in particular as control variable for a power distribution and/or for a distribution of a power flow is provided and/or output.