Energy Store Parameter Determination via Plant Model Feedback
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Solution Overview
Problem
Existing methods for determining parameters of energy storage systems, such as internal resistance and capacitance, are often disruptive to the system's operation and lack real-time monitoring capabilities, especially during periods of high current changes, and fail to accurately detect short-circuits or aging-related issues.
Innovation Solution
A method that records output current and voltage, using a system model and controller structure to estimate parameters without influencing the energy store's operation, enabling online determination and short-circuit detection, while allowing for identification of incorrect connections and aging-dependent charging voltage adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to determine parameters like internal resistance and capacitance, then parameter determination is possible, but the system operation is disrupted and real-time monitoring is not achieved
Solution Approach 1:
The energy storage system performs self-diagnosis by using its own operational data (current and voltage measurements during normal charging/discharging) to determine its own parameters through the controller structure and plant model, eliminating the need for external disruptive testing
Solution Approach 2:
The controller structure continuously compares measured current and voltage with model predictions, using the deviation feedback to iteratively adjust and determine accurate parameter values (capacitance, internal resistance) without disrupting system operation
2Productivity
If parameter determination is performed during operation, then real-time monitoring is achieved, but accurate detection during high current changes is difficult
Solution Approach 1:
The determination method dynamically adapts to varying operating conditions by continuously processing current and voltage measurements across different operational states, including high current change periods, using the plant model to account for dynamic system behavior
Solution Approach 2:
The system prepares for accurate detection during high current changes by continuously maintaining updated parameter estimates through the controller structure, so that when high current changes occur, accurate real-time determination is already enabled
3Device complexity
If simple measurement methods are used, then system complexity is reduced, but short-circuit detection and aging-related issue detection are not achieved
Solution Approach 1:
The controller structure performs multiple functions using the same basic measurement infrastructure: it determines capacitance, internal resistance, detects short-circuits through abnormal parameter changes, and monitors aging-related issues, eliminating the need for separate dedicated detection systems
Solution Approach 2:
The plant model acts as an intermediary that translates simple current and voltage measurements into comprehensive diagnostic information, enabling detection of short-circuits and aging issues without requiring complex direct measurement apparatus
Data Source
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AI summary
The invention relates to a method for determining characteristics of an energy store, wherein output current and output voltage of the energy store are detected, more particularly are variables detected in this manner, wherein a first of the two variables is fed to a plant model, the second of the two detected variables is fed to a control structure, wherein the plant model produces a modelling value for the second variable and this modelling value is fed to the control structure, wherein the control structure determines estimated values of the characteristics which are specifeid to the plant model.