Energy Storage Control Unit for Hybrid Load Allocation

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Solution Overview

Problem

Existing energy storage solutions lack flexibility and efficiency in managing hybrid memory systems, where different components have varying properties and operating conditions, leading to suboptimal performance, reduced lifespan, and increased costs.

Innovation Solution

A flexible control unit that breaks down load profiles into partial profiles and allocates them based on real-time operating states and evaluation matrices, optimizing energy distribution across individual storage components to avoid unfavorable conditions and enhance overall system efficiency and longevity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a hybrid storage system combines different types of energy storage devices, then system flexibility and adaptability improve, but device complexity increases

Engineering Contradiction:
Improvesystem flexibilityVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The control unit segments the overall load profile into multiple partial load profiles, each assigned to specific energy storage devices based on their characteristics. This segmentation allows the system to manage complexity by breaking down the control task into device-specific sub-tasks while maintaining overall system flexibility.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The control unit dynamically adjusts the allocation of load profiles to different energy storage devices based on real-time operating conditions, state of charge, and device performance. This dynamic allocation optimizes system flexibility while adapting to changing conditions without requiring fixed complex wiring or control structures.

Inventive Principle:
Principle #15Dynamics

2Productivity

If load profile is distributed across multiple storage devices, then system efficiency improves, but control complexity increases

Engineering Contradiction:
Improvesystem efficiencyVSAvoidcontrol complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Each energy storage device operates with its own evaluation profile that automatically assesses its current state and suitability for specific load profiles. The control unit uses these self-generated evaluations to make allocation decisions, reducing the need for complex centralized control while maintaining high system efficiency through optimized load distribution.

Inventive Principle:
Principle #25Self-service

3Duration of action of stationary object

If operating conditions are optimized for individual devices, then device lifespan increases, but system adaptability decreases

Engineering Contradiction:
Improvedevice lifespanVSAvoidsystem adaptability
Core Design Contradiction:
Duration of action of stationary objectVSAdaptability or versatility

Solution Approach 1:

The system changes operational parameters dynamically by adjusting which devices handle which load profiles based on real-time conditions. Evaluation profiles contain parameter thresholds that, when met, trigger automatic reassignment of load profiles to different devices. This allows the system to optimize device lifespan by avoiding unfavorable operating conditions while maintaining adaptability through flexible reassignment.

Inventive Principle:
Principle #35Parameter changes

4Measurement precision

If extensive monitoring and control is implemented, then prediction accuracy improves, but device complexity increases

Engineering Contradiction:
Improveprediction accuracyVSAvoidcontrol complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Evaluation profiles are pre-configured with threshold values and criteria for assessing device suitability for different load profiles. The control unit performs preliminary assessments using these pre-defined profiles before making allocation decisions, improving prediction accuracy without requiring complex real-time analysis or control algorithms.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3552292B1Energy storage apparatus and use thereof
Publication Date: 2021.08.18 SIEMENS AG
  • EP3552292B1 patent drawingFigure 1
  • EP3552292B1 patent drawingFigure 2~3
  • EP3552292B1 patent drawing

AI summary

The invention relates to an energy storage apparatus (1) for providing electrical energy, comprising a measuring device (3) for determining an electrical load profile to be provided and operating state values of energy storage devices (5); a data storage device (7) for storing the data of at least one evaluation profile (BP) for one respective energy storage device (5), said evaluation profile depicting the effects of operating parameters on a criterion of a respective energy storage device; a computer device (9) for dividing the electrical load profile to be provided into partial load profiles and allocating each partial load profile to an energy storage device which is best in terms of the criterion taking into account the operating state values thereof; a control device (11) for controlling the energy storage devices (5) selected by means of the allocation for the joint provision of electrical output for the electrical load profile, and a corresponding use of the energy storage apparatus (1).