Battery Twin Monitoring for Precise State Tracking Without Downtime
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Solution Overview
Problem
Current battery monitoring methods either interrupt the functioning of battery systems for precise measurements or provide inaccurate online estimates, lacking a stable solution for continuous, uninterrupted state monitoring of battery health and lifetime prediction.
Innovation Solution
A battery twin system is used to replicate the working conditions of the battery system, allowing for offline measurements to be taken without interrupting the battery system's operation, using identical cells and sophisticated measurement devices to enhance accuracy and precision in estimating battery state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline measurement methods are used to achieve precise battery state measurements, then measurement precision is improved, but the battery system must be interrupted for measurements
Solution Approach 1:
The patent creates a digital twin (virtual model) of the battery system that replicates its electrical and thermal behavior. This copy allows offline measurements and analysis to be performed on the virtual model without interrupting the physical battery system, thereby achieving precise measurements while maintaining continuous operation.
Solution Approach 2:
The digital twin acts as an intermediary between the physical battery system and the measurement/analysis processes. By performing measurements on the digital twin rather than the physical system, the patent eliminates the need to interrupt battery operation while still obtaining accurate state information through the intermediary model.
2Productivity
If online monitoring methods are used to maintain continuous battery operation, then battery system uptime is improved, but measurement precision deteriorates
Solution Approach 1:
Instead of directly measuring the physical battery system during operation, the patent creates a digital copy that can be measured and analyzed with high precision. The digital twin replicates the battery's behavior under the same operating conditions, allowing precise offline measurements without affecting the physical system's continuous operation.
3Productivity
If Kalman filtering is used for online battery state estimation, then continuous monitoring is achieved, but stability deteriorates over time without manual retuning
Solution Approach 1:
The digital twin model is self-updating and automatically adapts to changing battery conditions over time. Rather than requiring manual retuning of filter coefficients, the virtual model continuously learns from new data and adjusts its parameters automatically, maintaining both continuous monitoring and long-term stability without human intervention.
Solution Approach 2:
The system implements continuous feedback loops where measurements from the physical battery system are used to update and refine the digital twin model. This feedback mechanism ensures the model remains accurate over time and automatically adapts to battery aging and condition changes, maintaining monitoring stability without manual intervention.
4Measurement precision
If manual retuning of Kalman filter coefficients is performed to improve accuracy, then measurement precision is improved, but device complexity and maintenance requirements increase
Solution Approach 1:
The digital twin model automatically adjusts its parameters and coefficients based on incoming measurement data, eliminating the need for manual retuning. The model self-calibrates by continuously comparing its predictions with actual battery behavior, maintaining high accuracy without requiring complex manual intervention procedures.
Data Source
AI summary
A method for monitoring a battery state without interruption of functioning a battery system using a battery twin, wherein the battery system includes a plurality of interconnected battery cells, and wherein the battery twin includes a battery twin cell that is identical to one battery cell of the battery system, where the method includes measuring a parameter of the battery cell that describes working conditions of either the battery cell and/or the entire battery system, where the method includes an offline measurement part that includes reproduction of the working conditions described with the measured parameter on the battery twin, such that while the battery twin operate under the reproduced working conditions, at least one further parameter of the battery twin is measured, and after the offline measurement part, the method further includes judging the battery state based on the measured at least one further parameter of the battery twin.