Gotion, Inc.

Xiaojun Li

Jianwei Li

Trevor Jones

David Jauernig

Rick Rajaie

An apparatus for battery state of charge (SOC) estimation, including: a pre-processing unit (), configured for detecting operating parameters of a batters, and filtering at least part of the parameters to generate filtered parameters; an SOC estimating unit (), configured for calculating nominal SOC by using a first neural network based on the operating parameters and the filtered parameters; a validity estimating unit (), 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 (); an SOC Kalman filter (), 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.

Apparatus and method for battery SOC estimation

The embodiments in this disclosure provide a method, apparatus, and device for managing batteries. The method comprises: collecting battery cell data for respective battery cells, which indicates statuses of the battery cells; sending the battery cell data to a data processing device to enable the data processing device to determine the configuration of a battery pack based on the battery cell data; configuring, upon receipt of battery pack configuration information from the data processing device, the battery cells into at least one battery pack based on the battery pack configuration information; and acquiring battery pack data for the battery pack, which indicates the status of the battery pack and feeding the battery pack data back to the data processing device to enable the data processing device to determine a management mode for the battery pack based on the battery pack data. The disclosed method achieves configuration and wireless management of the batteries and improves the adaptability of battery management.

Method, apparatus, and device for managing batteries

An apparatus for battery state of health (SOH) estimation, including: a DV-calculation unit () 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 () 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 () configured for performing a SOH-estimate through a 2D-Look-Up-Table (2D-LUT) based on the detected feature and the average temperature.

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Fremont, CA, United States of America

Xiaojun Li