公开(公告)号：US20140316728A1

公开(公告)日：2014-10-23

申请号：US14192867

申请日：2014-02-27

Applicant: University of Electronic Science and Technology of China

Inventor： Qishui Zhong ,  Baihua Li ,  Hui Li ,  Yuqing Zhao

IPC: G01R31/36

CPC classification number: G01R31/3651 ,  G01R31/3606 ,  G01R31/361 ,  G01R31/362 ,  G01R31/3675

Abstract: The present invention provides a SOC estimation method applied to a battery system comprising a battery pack. The SOC estimation method comprises the steps of: determining an initial SOC value; determining whether the battery pack is in a working status; measuring the voltage and current of the battery pack if the battery pack is in the working status; calculating a current SOC value by using an ampere-hour method based on the initial SOC value and the measured voltage and current; determining dynamic characteristic parameters of the battery pack; and optimizing the current SOC value by using extended Kalman filter (EKF) method and based on the dynamic characteristic parameters of the battery pack.

Abstract translation: 本发明提供一种应用于包括电池组的电池系统的SOC估计方法。 所述SOC估计方法包括以下步骤：确定初始SOC值; 确定电池组是否处于工作状态; 如果电池组处于工作状态，测量电池组的电压和电流; 通过使用基于初始SOC值和测量的电压和电流的安培小时方法来计算当前SOC值; 确定电池组的动态特性参数; 并通过使用扩展卡尔曼滤波（EKF）方法和基于电池组的动态特性参数来优化当前SOC值。

公开(公告)号：US10175302B2

公开(公告)日：2019-01-08

申请号：US15586062

申请日：2017-05-03

Applicant: University of Electronic Science and Technology of China

Inventor： Qishui Zhong ,  Baihua Li ,  Hui Li ,  Yuqing Zhao

IPC: G06F17/50 ,  G01R31/36

Abstract: Disclosed is a power system including a battery pack and a battery management system, the battery management system including a controller and a storage unit storing one or more executable programs executable to achieve battery functions.

公开(公告)号：US09709635B2

公开(公告)日：2017-07-18

申请号：US14192867

申请日：2014-02-27

Applicant: University of Electronic Science and Technology of China

Inventor： Qishui Zhong ,  Baihua Li ,  Hui Li ,  Yuqing Zhao

IPC: G06F17/50 ,  G01R31/36

CPC classification number: G01R31/3651 ,  G01R31/3606 ,  G01R31/361 ,  G01R31/362 ,  G01R31/3675

Abstract: The present invention provides a SOC estimation method applied to a battery system comprising a battery pack. The SOC estimation method comprises the steps of: determining an initial SOC value; determining whether the battery pack is in a working status; measuring the voltage and current of the battery pack if the battery pack is in the working status; calculating a current SOC value by using an ampere-hour method based on the initial SOC value and the measured voltage and current; determining dynamic characteristic parameters of the battery pack; and optimizing the current SOC value by using extended Kalman filter (EKF) method and based on the dynamic characteristic parameters of the battery pack.