Energy Storage Switch Topology Identification via Current Detection
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Solution Overview
Problem
Existing electrical energy storage systems (EES) face challenges in identifying the switch topology, particularly when disassembled for second life applications, as the process is time-consuming and expensive, and no automated method was previously available for determining the switch topology, especially in dynamically reconfigurable systems.
Innovation Solution
A method that involves selectively activating and deactivating energy storage modules with unique identifiers to detect the total current flowing across the switch topology, allowing for the identification of module strings and determining which modules belong to a specific string, enabling automated identification of the switch topology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the switch topology is determined during design and assembly with manual parameterization, then the control unit can be properly configured, but the process is time-consuming and expensive
Solution Approach 1:
The energy storage system automatically identifies its own switch topology by having the control unit detect which modules are connected in series or parallel configurations without external intervention. The system self-configures by monitoring current flow paths and module activation states, eliminating the need for manual parameterization during assembly.
Solution Approach 2:
The manual mechanical process of determining switch topology during assembly is replaced by an automated electrical detection system. The control unit uses electrical current measurements and module response detection to automatically identify the switch topology configuration, substituting human-operated mechanical identification with automated electrical sensing.
2Reliability
If the switch topology is manually determined during assembly, then the control unit can be parameterized, but the cost increases
Solution Approach 1:
The system performs self-identification of its switch topology configuration, automatically providing the control unit with the necessary parameterization information. This eliminates the need for expensive manual determination processes while ensuring reliable control unit configuration through automated detection of module connections and activation states.
3Loss of information
If the switch topology is exhaustively determined, then complete system characterization is achieved, but the process becomes even more time-consuming
Solution Approach 1:
The method extracts only the essential information needed for switch topology identification by selectively activating individual modules and detecting current flow paths. Instead of exhaustively determining all possible configurations, the system extracts the specific topology information by observing which modules conduct current when activated, achieving complete topology identification with minimal detection steps.
Data Source
AI summary
A method for identifying the switch topology of multiple energy storage module connected in parallel and/or in series, which respectively have at least one energy storage element, each module has a switch element for selectively activating and deactivating the module and a unique identifier, wherein each module is assigned to a module string in that a total current flowing across the switch topology is checked, and individual modules are activated successively via the switch element until the total current is detectable.


