Lithium Battery Module Consistency Analysis Using Microscopic Parameters
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Solution Overview
Problem
Current consistency analysis methods for lithium battery modules rely on macroscopic electrochemical parameters, failing to accurately represent the internal states of batteries, leading to inadequate consistency judgments.
Innovation Solution
A method that acquires and analyzes microscopic electrochemical parameters, such as solid phase diffusion coefficients and SEI film thickness, using a cloud server and machine learning to establish time sequence databases and perform consistency analysis, enabling more intrinsic and predictive assessments without dismantling the battery module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If macroscopic electrochemical parameters (voltage, temperature) are used for consistency analysis, then the analysis process is simple, but the accuracy and representativeness of internal battery states are insufficient
Solution Approach 1:
The patent transforms macroscopic electrochemical parameters (voltage, temperature) into microscopic parameters (SEI film thickness, active lithium number, diffusion coefficients) through electrochemical model calculations. This parameter transformation enables the system to capture internal battery states that are not directly observable, thereby improving consistency analysis accuracy while maintaining computational feasibility through model-based inference.
2Measurement precision
If microscopic electrochemical parameters are measured directly, then the accuracy of internal state representation improves, but the hardware complexity and measurement difficulty increase
Solution Approach 1:
The patent introduces an electrochemical model as an intermediary that bridges macroscopic measurements and microscopic states. The model uses easily measurable macroscopic parameters (voltage, temperature, current) as inputs and computes microscopic parameters (SEI film thickness, active lithium number) as outputs, avoiding the need for direct microscopic measurement while achieving accurate internal state representation.
Solution Approach 2:
The patent replaces direct physical measurement of microscopic parameters with computational modeling based on electrochemical principles. Instead of using complex hardware to directly measure SEI film thickness or active lithium number, the system uses software-based electrochemical models that infer these parameters from standard electrical measurements, substituting mechanical/physical measurement systems with computational analysis.
3Ease of manufacture
If traditional statistical methods are used for consistency analysis, then the implementation is straightforward, but the ability to predict future inconsistencies is limited
Solution Approach 1:
The patent performs preliminary consistency analysis by calculating microscopic parameters and comparing them against predefined consistency thresholds before actual battery operation issues manifest. The system continuously monitors and predicts potential inconsistencies by tracking the evolution of microscopic parameters over time, enabling early warning and preventive maintenance before failures occur.
Data Source
AI summary
The invention discloses a method, a system and a storage medium for consistency analysis of a lithium battery module. The method includes acquiring various microscopic electrochemical parameters corresponding to each single cell in the lithium battery module; respectively establishing a time sequence database of the microscopic electrochemical parameters corresponding to each single cell, based on each of the microscopic electrochemical parameters; and performing consistency analysis on each single cell that meets a preset circuit connection relation based on each time sequence database.