A method for detecting and evaluating battery performance parameters

By applying a small-amplitude AC excitation signal within different discharge depth ranges of the battery, a three-dimensional impedance spectrum under full operating conditions is constructed, and characteristic contour lines are analyzed. This solves the problems of lag and subjectivity in battery performance testing in existing technologies, enabling dynamic observation and accurate aging identification of the battery's internal state, and improving the accuracy of battery life management.

CN122307402APending Publication Date: 2026-06-30山东秦鲁能源科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
山东秦鲁能源科技有限公司
Filing Date
2026-04-09
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing battery performance testing technologies cannot continuously and online acquire the dynamic impedance characteristics of batteries under all operating conditions, resulting in a lag in the identification of changes in the internal state of the battery and a high degree of subjectivity in the classification results, making it difficult to achieve accurate life state management and prediction.

Method used

By applying multiple sets of micro-amplitude AC excitation signals within different discharge depth ranges of the battery, simultaneously acquiring voltage and current response sequences, constructing a dynamic impedance response surface, generating a three-dimensional impedance spectrum under full operating conditions, analyzing characteristic contour lines, extracting capacity inflection points and impedance surge points from the spectrum, dividing the battery performance evolution stages, and generating a performance degradation baseline based on DC internal resistance and charge transfer efficiency trajectory fitting.

Benefits of technology

It enables dynamic and continuous observation of the internal electrochemical state of the battery, allowing for early and accurate identification of key aging nodes, providing objective and timely performance evolution stage division and prediction, and improving the accuracy of battery life management.

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Abstract

This invention discloses a method for detecting and evaluating battery performance parameters, belonging to the field of battery performance detection and evaluation technology. The method includes applying multiple sets of preset micro-amplitude AC excitations within different discharge depth ranges of the battery, simultaneously acquiring voltage and current response sequences; performing asynchronous delay alignment and noise filtering on the sequences to generate a purified response sequence; constructing dynamic impedance response surfaces for each discharge depth range based on the purified sequence; fusing multiple surfaces to generate a three-dimensional impedance spectrum of the battery under all operating conditions; analyzing characteristic contour lines in the spectrum to extract capacity inflection points and impedance spikes; dividing the battery performance evolution stages based on the extracted points; obtaining the DC internal resistance growth trajectory and charge transfer efficiency decay trajectory within each historical stage; and fitting this trajectory to generate a stage performance degradation baseline for the battery. This invention achieves continuous capture of the dynamic impedance characteristics of the battery under all operating conditions and automatic and accurate division of performance stages based on the intrinsic electrochemical characteristic spectrum.
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