ESTIMATION METHODS AND DEVICES FOR STATE-OF-CHARGE OF BATTERIES

• US 20160011272A1
• Filed: 07/06/2015
• Published: 01/14/2016
• Est. Priority Date: 07/09/2014
• Status: Abandoned Application

• Current Assignee: MediaTek Singapore Pte. Ltd. (MediaTek, Inc.)
• Original Assignee: MediaTek Singapore Pte. Ltd. (MediaTek, Inc.)
• Inventors: ZHANG, Mingming
• Application Number:
  US14/791,724
• Publication Number:
  US 20160011272A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/378 specially adapted for the type of battery or accumulator
• CPC Class Codes: G01R 31/382 Arrangements for monitoring battery or accumulator variables, e.g. SoC

Abstract

An estimation device and method are provided. A battery measurement platform sets up a communication with a measured battery, determines a model of the measured battery, and searches data of the measured battery according to the model thereof to obtain the state-of-charge of the measured battery. Accordingly, the estimation of the state-of-charge of batteries is performed on base of each battery, instead of on base of each battery measurement platform.

Claims

1. An estimation method comprising:

setting up a communication with a measured battery by a battery measurement platform;

determining a model of the measured battery by the battery measurement platform; and

searching data of the measured battery according to the model of the measured battery by the battery measurement platform to obtain a state-of-charge of the measured battery.

2. The estimation method as claimed in claim 1, wherein the step of determining the model of the measured battery comprises:

determining the model of the measured battery through an identification circuit; and

receiving the model of the measured battery through a multimedia interface when determining the model of the measured battery through the identification circuit is not successful.

3. The estimation method as claimed in claim 1, wherein the step of searching data of the measured battery according to the model of the measured battery comprises:

automatically searching the data of the measured battery from a database according to the model of the measured battery.

4. The estimation method as claimed in claim 3, wherein the data of the measured battery is stored in the database and not dedicated to the battery measurement platform, and the database comprises data of batteries with at least two models.

5. The estimation method as claimed in claim 4, wherein the data of the batteries with one of the least two models is received from a cloud system.

6. The estimation method as claimed in claim 4, wherein the data of the batteries with one of the least two models is input through a multimedia interface.

7. The estimation method as claimed in claim 4, wherein the data of the measured battery is corrected and updated through a cloud system.

8. The estimation method as claimed in claim 7, wherein the corrected and updated data of the measured battery from the clod system is generated according to actual data of the measured battery in different loads.

9. The estimation method circuit as claimed in claim 1, wherein the data of the measured battery comprises the model of the measured battery and a feature curve data matching the measured battery, and the feature curve data comprises mapping relationship between internal resistance and voltage or temperature, mapping relationship between a voltage and capacity, and data variation between additional data and cycle life.

10. An estimation device in a battery measurement platform, comprising:

a connection module, configured to setting up a communication between the battery measurement platform and a measured battery;

a model obtaining module, coupled to the connection module, configured to determine a model of the measured battery; and

a detection module, coupled to the model obtaining module, configured to search data of the measured battery according to the model of the measured battery to obtain state-of-charge of the measured battery.

11. The estimation device as claimed in claim 10, wherein the model obtaining module determines the model of the measured battery through an identification circuit and receives the model of the measured battery through a multimedia interface when the model of the measured battery is determined through the identification circuit unsuccessful.

12. The estimation device as claimed in claim 10, wherein the detection module automatically searches the data of the measured battery from a database according to the model of the measured battery.

13. The estimation device as claimed in claim 12, wherein the data of the measured battery is stored in the database and not dedicated to the battery measurement platform, and the database comprises data of batteries with at least two models.

14. The estimation device as claimed in claim 13, wherein the data of the batteries with one of the least two models is received from a cloud system.

15. The estimation device as claimed in claim 13, wherein the data of the batteries with one of the least two models is input through a multimedia interface.

16. The estimation device as claimed in claim 13 further comprising:

an update module correcting and updating the data of the measured battery through a cloud system.

17. The estimation device as claimed in claim 16, wherein the corrected and updated data of the measured battery transmitted from the clod system is generated according to actual data of the measured battery in different loads.

18. The estimation device circuit as claimed in claim 10, wherein the data of the measured battery comprises the model of the measured battery and a feature curve data matching the measured battery, and the feature curve data comprises mapping relationship between internal resistance and voltage or temperature, mapping relationship between a voltage and capacity, and data variation between additional data and cycle life.