Abstract
A novel and effective method is proposed to estimate the SOH (State of Health) value of the high power aerial LIB (Lithium-Ion Battery) packs. The comprehensive SOH evaluation is realized by using the improved CI-EKF (Credibility Inference - Extended Kalman Filter) algorithm together with the discharging and charging maintenance experimental process, implying the accurate and adaptive SOH effect. The proposed method is used in the SOH evaluation process of the aerial LIB pack, with minimal time demand of self-learning treatment. The results indicate that the SOH values can be estimated effectively at different working conditions, in which the evaluation accuracy rate is up to 95.00% for the experimental samples of the aerial LIB pack, providing the technical support for the reliable application of the high power LIB pack and playing a core role in its power supply promotion.
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