US 2025/0147104 A1 · DEVICES AND METHODS FOR DETERMINING AND EXTENDING A REMAINING USEFUL LIFE OF A BATTERY

Abstract

Devices and methods for determining and extending a remaining useful life of a battery are disclosed herein. In an embodiment, the method receives temperature information and state of charge information of the first battery over a duration of time and metric data of the first battery over the duration of time. The method trains a machine learning model based on historical data associated with one or more other batteries and utilizes the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data. In an embodiment, the method also receives environment information of the first battery, trains a machine learning model, and utilizes the trained machine learning model to determine at least one mitigation to extend the remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information.

Claims28

Dependent claims

A method comprising:

receiving temperature information of a first battery and state of charge information of the first battery over a duration of time;
receiving metric data of the first battery over the duration of time;
training a machine learning model based on historical data associated with one or more other batteries;
utilizing the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data;
generating, based on the determined remaining useful life of the first battery, a notification associated with the first battery;
and
transmitting at least one of the remaining useful life of the first battery and the notification.

4 more elements

A device, comprising:

one or more processors;
and
a non-transitory computer-readable memory coupled to the one or more processors, the memory storing instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
receive temperature information of a first battery and state of charge information of the first battery over a duration of time,
receive metric data of the first battery over the duration of time,
train a machine learning model based on historical data associated with one or more other batteries,
utilize the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data,
generate, based on the determined remaining useful life of the first battery, a notification associated with the first battery, and
transmit at least one of the remaining useful life of the first battery and the notification.

6 more elements