Research on defect identification of chemical battery electrode based on voiceprint and AI analysis technology
With the rapid development of the new energy industry,chemical batteries,as its core components,are crucial for the stability and safety of the overall system in terms of their performance and quality.As an important component of batteries,the defects in the preparation process of chemical battery electrodes directly affect the electrochemical performance and safety of the battery.This article reviews the research on defect recognition methods for chemical battery electrodes using voiceprint and AI analysis techniques.By combining these two technologies,the accuracy and efficiency of defect detection can be improved,providing strong support for quality control in battery production processes.
国家科技期刊平台
NSTL
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