Using Battery State Excitation To Model And Control Battery Operations

Patent №

US 11,097,633

Granted

2021-08-24

Filed 2019

Owner

VERITONE ALPHA, INC.

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16289602

Techniques are described for implementing automated control systems to control operations of target physical systems including batteries, such as based at least in part on models of the batteries' dynamic behaviors that are generated by gathering and analyzing information about the batteries' operations under varying conditions. The techniques may include, for each of multiple charge levels of a battery and for each of multiple resistive loads, injecting multi-frequency microvolt pulses into the battery, and using sensors to collect time changes of the responses to these pulses. Information about the inputs and the responses is then analyzed and used to generate an incremental parametric state model representing the internal dynamics of the battery, which is further used to control additional ongoing battery operations (e.g., to control whether and how much power is supplied to and/or extracted from the battery in a current or future time period).

Machine learningPlanningAI hardwareB60L 58/12B60L 3/12B60L 15/20G01R 31/36G05B 13/0265H01M 10/425H01M 10/48H02J 7/00+8 more

AI classification

Planning1.00
AI hardware1.00
Machine learning1.00
Knowledge representation0.48
Natural language0.00
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

VERITONE ALPHA, INC.

assignment · 485200666

Assignors

KOHN, WOLF, SHEN, YANFANG, ZHANG, XIAOFENG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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