Lithium Battery Early Warning via 3D Electrochemical Model
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Solution Overview
Problem
Existing battery early warning methods for lithium batteries lack intrinsic representation of the internal state and predictability, relying on macroscopic voltage and parameters that are not adaptive to environmental conditions.
Innovation Solution
A three-dimensional electrochemical model is established for lithium batteries, dividing them into positive, negative electrodes, and separators, with spatial discretization to create four-dimensional coordinates, allowing for the simulation of current lithium ion concentrations and diffusion coefficients to perform early warnings based on precise state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If macroscopic voltage and simple parameters are used for early warning, then monitoring is intuitive and efficient, but the method lacks intrinsic representation of internal state and predictability
Solution Approach 1:
The patent segments the battery into multiple regions (positive electrode, negative electrode, separator) and further discretizes space into multiple points within each region. This allows the system to monitor both macroscopic overall state and microscopic local state simultaneously, resolving the contradiction between monitoring efficiency and internal state representation accuracy.
Solution Approach 2:
The patent transitions from one-dimensional macroscopic voltage monitoring to three-dimensional spatial distribution monitoring of lithium ion concentration. By adding spatial dimensions (x, y, z coordinates) to the monitoring approach, the system achieves both comprehensive internal state representation and maintains computational efficiency through structured discretization.
2Measurement precision
If a three-dimensional electrochemical model with spatial discretization is established, then internal state representation accuracy is improved, but model complexity increases
Solution Approach 1:
The patent divides the complex three-dimensional battery structure into multiple simplified regions (positive electrode, negative electrode, separator) and further into discrete spatial points. This segmentation approach maintains high spatial resolution for accurate internal state representation while reducing computational complexity compared to a fully continuous three-dimensional model.
Solution Approach 2:
The patent applies spatial discretization to key regions where lithium ion concentration changes are most significant, rather than uniformly discretizing the entire battery volume. This partial discretization strategy achieves sufficient measurement precision for early warning while minimizing the overall model complexity and computational burden.
3Measurement precision
If multiple partial differential equations are strongly coupled to describe electrochemical processes, then simulation accuracy is improved, but decoupling is needed which increases computational complexity
Solution Approach 1:
The patent segments the coupled partial differential equations into separate equations for different physical processes (electrochemical reactions, mass transfer, heat transfer) within each region. By treating these equations separately but maintaining their interconnections through boundary conditions and coupling parameters, the system achieves high simulation accuracy while reducing computational complexity through modular solution approaches.
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 provides a numerically efficient and spatially accurate method for lithium ion concentration simulation, enabling objective and effective battery operation management, adaptable to various scenarios, and forming a basis for a digital twin system.
Implementation Method 1
obtaining a current lithium ion concentration in each position of the lithium battery by simulation based on the 4D space coordinates, a historical lithium ion concentration and a historical diffusion coefficient of the lithium battery
Data Source
AI summary
The invention provides an electrochemical model based method for early warning for a lithium battery, including establishing a three-dimensional electrochemical model for the lithium battery, and dividing the lithium battery into three portions respectively including a positive electrode, a negative electrode and a separator; performing spatial discretization on the three-dimensional electrochemical model according to a preset accuracy to establish the four-dimensional spatial coordinates of the lithium battery; obtaining a current lithium ion concentration in each position of the lithium battery by simulation based on the four-dimensional space coordinates, a historical lithium ion concentration and a historical diffusion coefficient of the lithium battery; and performing early warning for the lithium battery according to the current lithium ion concentration in each position. The method adopts the volumetric SOC or surface SOC of the lithium battery for operation management, which is direct and objective, and can be is applied to most external environments.