 This study proposes a new method for accurately estimating the state of health, SOH, of lithium ion batteries. It uses electrochemical impedance spectroscopy, EIS, to measure three groups of impedance module values at different frequencies, which can be used to build a support vector regression, SVR, model to estimate the SOH of lithium ion batteries. This method is fast and reliable, and it can be applied to real-time monitoring of lithium ion batteries. This article was authored by Mao Song fan, Meng Meng Geng, Kai Yang, and others.