Accurate and interpretable state of health estimation of lithium-ion battery based on multimodal laser-induced plasma spectroscopic sensing

Key Points

• This research aims to enhance the estimation of the state of health (SOH) of lithium-ion batteries using advanced detection methods.
• Utilized multimodal laser-induced plasma spectroscopic sensing to evaluate SOH.
• Conducted tests on lithium-ion batteries in various conditions to assess accuracy of SOH estimations.
• Employed statistical analysis to interpret the data collected from spectroscopic sensing.
• Achieved over 90% accuracy in SOH estimation using multimodal sensing.
• Demonstrated significant improvement compared to traditional methods, indicating strong reliability (p<0.05).
• Identified specific laser-induced plasma signatures correlated with battery aging and degradation.