Battery Lithium Plating Window Simulation for Faster Charging Tests
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Solution Overview
Problem
Conventional methods for determining the lithium precipitation window in lithium-ion batteries require lengthy test periods and significant resources, as they necessitate separate testing of batteries under different conditions.
Innovation Solution
A method and apparatus that utilize an electrochemical model of a target battery to simulate the battery charging process, allowing for the calculation of lithium precipitation windows without the need for physical test batteries, thereby reducing test time and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional three-electrode stacking experimental test method is used to determine lithium precipitation window, then test accuracy is improved, but test period is extended and test resources are consumed
Solution Approach 1:
The patent uses an electrochemical model as a virtual copy of the physical battery system to simulate charging processes and predict lithium precipitation windows. This digital twin approach allows multiple test scenarios to be evaluated without creating additional physical test batteries, thereby reducing both time and resource consumption while maintaining measurement accuracy through validated model predictions
Solution Approach 2:
The patent performs preliminary simulation tests using the electrochemical model to identify potential lithium precipitation conditions before conducting physical experiments. By pre-screening test parameters and conditions through simulation, the actual experimental testing is significantly reduced in scope and duration, achieving accurate results with minimal physical resource consumption
2Reliability
If separate test batteries are made for different test temperatures and conditions, then test reliability is improved, but device complexity and resource consumption increase
Solution Approach 1:
The electrochemical model serves as a universal testing platform that can simulate multiple test conditions (different temperatures, charging rates, SOC ranges) without requiring separate physical test batteries for each condition. The single model configuration can be reconfigured through software to represent any test scenario, eliminating the need for multiple specialized test battery setups while maintaining reliable predictions across all conditions
Solution Approach 2:
The patent changes operational parameters (temperature, charging current, SOC) within the electrochemical model to simulate different test conditions without physically modifying the test battery. By adjusting model parameters rather than physical configurations, the system maintains test reliability across varying conditions while avoiding the complexity of reconfiguring physical test setups for each scenario
3Adaptability or versatility
If multiple test batteries are used for different test conditions, then test coverage is improved, but resource consumption increases
Solution Approach 1:
The electrochemical model acts as a virtual replica that can simultaneously represent multiple test scenarios and conditions. Instead of requiring multiple physical test batteries to cover different temperature ranges, charging rates, and SOC conditions, the single digital model can be configured to simulate all these variations, providing comprehensive test coverage with zero additional physical resources
Solution Approach 2:
The simulation system provides universal coverage of all test conditions through a single platform. The electrochemical model can be configured to represent any combination of temperatures, charging currents, and state of charge ranges, eliminating the need to manufacture and manage multiple specialized test batteries while achieving complete test condition coverage
Data Source
AI summary
The present application relates to a method and apparatus for obtaining a battery lithium precipitation window, a device, a medium, and a program product. The method includes: obtaining battery working condition information and an electrochemical model of a target battery; and then performing, by using the electrochemical model of the target battery, simulation processing on a battery charging process corresponding to the obtained battery working condition information, so as to obtain a lithium precipitation window corresponding to the battery working condition information. Battery lithium precipitation windows corresponding to different battery working conditions and/or different battery parameters can be calculated without a need to make test batteries, which can not only reduce a test period, but also save a large amount of test resources, thereby helping increase a research and development speed and save research and development costs.