Battery SOP Estimation Using Lithium Intercalation Mapping
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Solution Overview
Problem
Existing methods for estimating the state of power (SOP) of a battery system are inaccurate due to insensitivity of open-circuit voltage (OCV) and impedance to state of charge (SOC) changes, leading to SOC plateaus and errors in SOP estimation.
Innovation Solution
The method involves determining dynamic correspondences between OCV, impedance, and SOC based on lithium intercalation in multiple predetermined positions within the active material, allowing for more accurate estimation by tracking real-time changes in OCV and impedance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods use standard OCV-SOC and impedance-SOC relationships, then the estimation process is simple, but the SOP estimation accuracy deteriorates due to SOC plateaus where OCV and impedance are insensitive to SOC changes
Solution Approach 1:
The patent segments the active material into multiple predetermined positions (e.g., surface, core, and intermediate regions) to calculate lithium intercalation amounts at each position. This segmentation allows the system to capture spatial variations in lithium distribution that conventional single-value SOC estimates miss, thereby improving SOP estimation accuracy during SOC plateaus without requiring overly complex measurement systems.
Solution Approach 2:
The patent changes the parameter used for SOC estimation from conventional single-value OCV or impedance measurements to a multi-position lithium intercalation amount distribution. By calculating and comparing lithium intercalation at different spatial positions within the active material, the system overcomes the insensitivity problem during SOC plateaus and achieves more accurate SOP estimation.
2Measurement precision
If the system uses multi-position lithium intercalation calculations, then SOP estimation accuracy improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent pre-establishes the correspondence relationships between multi-position lithium intercalation amounts, OCV, impedance, and SOC before actual operation. These pre-calibrated relationships are stored for rapid lookup during SOP estimation, avoiding the need for complex real-time calculations while maintaining high accuracy. This preliminary action significantly reduces computational time during actual battery management operations.
Solution Approach 2:
The patent creates simplified correspondence models that copy the essential relationships between multi-position lithium intercalation characteristics and battery state parameters. Instead of performing full multi-position calculations during operation, the system uses these pre-established correspondence tables to quickly determine SOP, reducing computational burden while preserving estimation accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the accuracy of SOP estimation by reducing errors and ensuring that the estimated OCV and impedance values better reflect the actual battery system conditions, thereby enhancing the precision of SOP determination.
Implementation Method 1
a state of charge (SOC) of the battery system at the data collection moment in the current operating condition is determined
Implementation Method 2
determining dynamic correspondences between OCV, impedance, and SOC based on lithium intercalation in multiple predetermined positions within the active material
Data Source
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AI summary
The invention discloses a method and a device for estimating the SOP of a battery system, which may effectively track the OCV change and impedance change under the current operating conditions of the battery system based on the amount of lithium intercalation in multiple predetermined positions in the active material in the battery of the battery system in the current operating condition, thereby determining the first dynamic correspondence between OCV and SOC under the current operating condition and the second dynamic correspondence between impedance and SOC(S202).