Electrochemical Cell Aging Estimation Without Dedicated Sensors
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Solution Overview
Problem
Existing methods for determining cell parameters, particularly aging parameters, in electrochemical cell systems rely heavily on sensor technology, which can be costly and inefficient, and do not allow for precise and efficient operation or maintenance planning.
Innovation Solution
A method using a physical model, such as a simulation model based on the finite element method, to determine cell parameters like aging without sensors, by inverting and optimizing the model with operational parameters, and training a regression model for efficient computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor technology is used to determine cell parameters, then measurement accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces physical sensor-based measurement systems with a computational model-based system. Instead of using sensors to directly measure cell parameters like aging state, the system uses a physical model that computes these parameters from operational data (current, voltage, temperature) obtained through standard measurements. This substitution eliminates the need for complex specialized sensors while maintaining measurement accuracy.
Solution Approach 2:
The patent introduces a physical model as an intermediary between operational measurements and cell parameter determination. The model acts as a computational mediator that transforms easily obtainable operational data (current, voltage, temperature) into difficult-to-measure cell parameters (aging state, remaining useful life). This intermediary approach avoids direct physical sensing of complex parameters.
2Measurement precision
If sensor technology is used to determine cell parameters, then measurement accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The patent replaces expensive sensor hardware with a computational model that runs on standard processing units. The physical model uses algorithms to compute cell parameters from operational data, eliminating the need for costly specialized sensors and reducing manufacturing costs while maintaining measurement precision.
Solution Approach 2:
The patent creates a virtual copy of the cell system through the physical model. Instead of physically sensing complex parameters, the model creates a computational representation that mirrors cell behavior and extracts parameters from this virtual model. This copying approach replaces expensive physical measurement hardware with software-based computation.
3Ease of manufacture
If computational methods are used to determine cell parameters, then manufacturing cost decreases, but measurement precision may worsen
Solution Approach 1:
The patent replaces physical sensor systems with computational models that use well-established physical relationships (electrochemical equations, heat transfer models). These models are based on fundamental physics and chemistry principles, ensuring high accuracy while reducing manufacturing costs by eliminating specialized sensors.
Solution Approach 2:
The patent changes the measurement parameters from direct physical sensing to computational derivation. By using operational parameters (current, voltage, temperature) that are easily and cheaply measured, and transforming them through the physical model into cell parameters, the system achieves both cost reduction and maintained precision through parameter transformation rather than direct sensing.
Data Source
AI summary
The invention proceeds from a method for determining at least one cell parameter, in particular an aging parameter, of a cell system (30) comprising at least one electrochemical cell (32).It is proposed that the cell parameter be determined based on a physical model of the cell system (30) depending on operational parameters of the cell system (30).(FIG. 2)