Target-Based Electric Field Decoupling for Lithium-Ion Battery Models
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Solution Overview
Problem
Current electrochemical models for lithium-ion batteries face challenges in accurately simulating the electric field due to strong coupling between various physical and chemical processes, leading to difficulties in decoupling and accurately representing the real internal state of the battery.
Innovation Solution
A method and system for target-based electric field decoupling in lithium-ion battery electrochemical models, where a calculation region is defined with endpoints and observed quantities, iteratively updating trial solutions to achieve boundary value problems, allowing for the determination of deterministic solid-phase and liquid-phase potentials, and subsequently obtaining microscopic physical quantities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the full-order electrochemical model is used to accurately simulate the electric field, then the simulation accuracy of the battery's internal state is improved, but the computational complexity and difficulty of decoupling increase significantly
Solution Approach 1:
The patent segments the strongly coupled electric field equations into two separate iterative loops: an inner loop that solves for solid-phase potential and current, and an outer loop that solves for liquid-phase potential and current. This segmentation allows each sub-system to be solved independently with appropriate boundary conditions, reducing the overall computational complexity while maintaining the accuracy of the full-order model.
Solution Approach 2:
The patent implements a dynamic iterative solution approach where the solid-phase and liquid-phase equations are solved alternately in successive iterations. The boundary conditions and source terms are updated dynamically based on the results from the previous iteration, allowing the system to converge to the correct solution while managing computational complexity through controlled iteration.
2Device complexity
If the model is simplified and reduced to eliminate coupling between fields and phases, then the solution difficulty is reduced, but the simulation accuracy and ability to reflect the real internal state of the battery is lost
Solution Approach 1:
The patent uses the exchange current density as an intermediary coupling term between the solid-phase and liquid-phase equations. This intermediary allows the two phases to be solved separately in an iterative manner while still maintaining their physical coupling relationship, thus preserving simulation accuracy without requiring direct simultaneous solution of all equations.
Solution Approach 2:
The patent maintains continuous coupling between the solid-phase and liquid-phase through iterative updates of the exchange current density and boundary conditions. Rather than decoupling the system completely, the solution process continuously refines the interaction between phases through successive iterations, ensuring that the final solution accurately reflects the coupled physical reality.
3Reliability
If traditional numerical simulation methods are used to solve the strongly coupled partial differential equations, then the comprehensive physical processes are captured, but the computational time and resources required increase significantly
Solution Approach 1:
The patent divides the computational domain and equations into separable solid-phase and liquid-phase components that can be solved in alternating iterative steps. This segmentation reduces the computational burden at each iteration step compared to solving the full coupled system simultaneously, while still capturing all physical processes through the iterative coupling.
Solution Approach 2:
The patent performs preliminary calculations of the exchange current density and boundary conditions based on results from the previous iteration before solving the current iteration's equations. This preliminary preparation of coupling terms and boundary conditions streamlines the computational process and reduces the overall computational time required for convergence.
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 effectively decouples the electric field, reducing computational resources and achieving fast operation speeds, suitable for hardware implementation, while providing accurate simulation of the battery's internal state and enabling early warning diagnostics for potential issues.
Implementation Method 1
obtaining the observed quantity of the end point at the present time according to the observed quantity, the solid-phase potential and the liquid-phase potential of the starting point at the present time and an electrochemical reaction process of the electrochemical model
Data Source
AI summary
The invention discloses method and system for target-based electric field decoupling for an electrochemical model. The method includes selecting one endpoint of a negative/positive electrode region as a starting point and the other endpoint as an end point; providing a trial solution of solid-phase and liquid-phase potentials of the starting point empirically, obtaining solid-phase/liquid-phase current of the end point according to the trial solution; obtaining a tentative solution that satisfies boundary value conditions by iterative approximation; designating the tentative solution satisfying the boundary value conditions as a deterministic solution of the solid phase potential and the liquid phase potential of the starting point; and obtaining the microscopic physical quantity of any spatial point in the positive electrode region/negative electrode region in the electric field based on the deterministic solution of the solid phase/liquid phase current, the solid phase and liquid phase potentials at the starting point.