Abstract: An apparatus for battery state of health (SOH) estimation, including: a DV-calculation unit (200) configured for calculating charge-derivative voltage dV/dQ according to operating parameters of a battery, and filtering the charge-derivative voltage dV/dQ; a feature detection unit (300) configured for performing a peak and threshold detection based on the filtered charge-derivative voltage dV/dQ to detect feature which fulfills requirements defined by a typical SOC range and height interval of a center graphite peak, and calculating an average temperature of the battery during a time interval corresponding to the detected feature; an estimation unit (400) configured for performing a SOH-estimate through a 2D-Look-Up-Table (2D-LUT) based on the detected feature and the average temperature.

Abstract: An apparatus for battery state of charge (SOC) estimation, including: a pre-processing unit (200), configured for detecting operating parameters of a batters, and filtering at least part of the parameters to generate filtered parameters; an SOC estimating unit (300), configured for calculating nominal SOC by using a first neural network based on the operating parameters and the filtered parameters; a validity estimating unit (400), configured for estimating a validity value based on the operating parameters and the filtered parameters, the validity value indicating validity of the nominal SOC outputted by the SOC estimating unit (300); an SOC Kalman filter (500), configured for performing a Kalman filtering algorithm based on the operating parameters, the nominal SOC transmitted and the validity value, thereby outputting an estimated SOC of the battery.