Battery Module Design Using Cell Aging Prediction Models
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Solution Overview
Problem
The determination of battery aging rates in secondary batteries requires significant time, cost, and manpower, and existing methods do not effectively predict the feasibility of battery module designs to slow down aging.
Innovation Solution
A method and system using a cell aging prediction model to correlate battery module design with battery cell aging, allowing for the estimation of negative electrode safety and feasibility of design information by comparing breathing space and aging information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual battery aging tests are conducted to determine aging rates, then accurate aging data is obtained, but significant time, cost, and manpower are required
Solution Approach 1:
The patent applies preliminary action by establishing a cell aging prediction model before actual aging tests are conducted. The model uses design information (breathing space, compression force, stiffness parameters) to predict aging rates in advance, eliminating the need for lengthy actual aging tests while maintaining accurate aging data assessment
Solution Approach 2:
The patent creates a virtual copy of the aging test process through the cell aging prediction model. Instead of physically testing batteries over extended periods, the model simulates and predicts aging outcomes based on design parameters, providing accurate aging data without the time and resource costs of actual prolonged testing
2Reliability
If battery module designs are manufactured and tested to slow down aging, then effective aging reduction is achieved, but high costs and redesign risks are incurred
Solution Approach 1:
The patent performs preliminary evaluation of design feasibility using the cell aging prediction model before manufacturing. By assessing whether design information meets predetermined standards (breathing space requirements, compression force ranges, stiffness parameters) that correlate with reduced aging, the system identifies optimal designs upfront, avoiding costly manufacturing and potential redesign cycles
Solution Approach 2:
The patent uses the prediction model to create a virtual assessment of design effectiveness for slowing aging. This virtual copying of the evaluation process allows multiple design iterations to be tested computationally at low cost, identifying the most effective aging-resistant designs before any physical manufacturing occurs
3Manufacturing precision
If detailed design evaluations are performed to ensure feasibility, then design quality is improved, but complex analysis processes are required
Solution Approach 1:
The patent extracts and isolates the critical design parameters that most significantly influence aging (breathing space, compression force, stiffness) and uses them as the basis for the prediction model. By focusing analysis on these extracted key parameters rather than evaluating all design aspects, the system achieves thorough design feasibility assessment while maintaining relatively simple analysis processes
Data Source
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AI summary
The present disclosure relates to a method and system for designing a battery module. The method of designing an optimal battery module may include: receiving target design information about a target battery module that includes a target battery cell; predicting aging of the target battery cell based on the target design information by using a cell aging prediction model that correlates a design of a battery module including a battery cell and aging of the battery cell; and determining whether the target design information is feasible based on the target design information and the predicted aging of the target battery cell.