Hewlett-Packard Development Company, L.p.

John Landry

Stephen M DeRoos

Miles Kevin Thorland

Eric Gagneraud

Robert D Matthews

Matheus Eichelberger

Roberto Argenta Coutinho

Craig M Blackwood

Marcio Maraschin

Cesar Augusto Rosa

Stephen M Brethauer

James Luke Mondshine

Amit Kumar Singh

Augusto Queiroz De Macedo

John Wozniak

Daniel Robert Oswalt

William W Diehl

Miguel E Lezcano

Frederick Lee

Chih-Ping (Tom) Chung

Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.

Detect and prevent battery swelling

Examples described herein include examples of method for predicting battery performance of a battery comprising collecting battery data corresponding to a plurality of batteries with characteristics similar to the battery during a first time period, storing the collected battery data in a staging memory, generating a logarithmic regression based on the collected battery data, and predicting battery performance for the battery based on the logarithmic regression.

Battery performance prediction

A technique includes, for each storage drive of a plurality of storage drives, determining a metric associated with the storage drive based at least in part on a plurality of attributes associated with the storage drive; and determining a health of a given storage drive of the plurality of storage drives based at least in part on the metric associated with the given storage drive and the metric associated with at least one other storage drive of the plurality of storage drives.

Determining the health of a storage drive

According to an example, a charge level of a battery detected with a processing resource communicatively coupled to the battery. In response to detecting a battery at full charge, the current full charge capacity of the battery is recorded, and an error cycle count, a design cycle count, and a full charge capacity at a last calibration are fetched. A maximum allowable battery decay level is calculated based on the error cycle count, the design cycle count, and the full charge capacity at last calibration. In an example, in the event that the current full charge capacity is less than the full charge capacity at the last calibration minus the maximum allowable battery decay level, a battery calibration alert is triggered.

Battery calibration

In some examples, a computing device sets an indication that an update of the firmware of the hardware component should be performed upon reboot. Upon boot-up of the computing device, a firmware update process is initiated in response to detection of the indication by the computing device. The firmware update process triggers the update of the firmware of the hardware component by starting execution of the executable firmware update. The computing device reports the results to an entity that is external of the computing device.

Updating firmware of a hardware component

Information regarding a computing device can be gathered, such as device information and support information. A plurality of solutions can be identified from multiple data sources based on the gathered information. The identified solutions can be ranked based on the gathered information and based on other information.

Identifying and ranking solutions from multiple data sources

In response to an event in a device, an information code comprising an address to an information source and a parameter relating to the device is dynamically generated. The parameter is dynamically based on a current state according to the event of the device at a time that the information code is generated.

Dynamically generating an information code

Example embodiments relate to methods for updating firmware of a hardware component included in a computing device. An example method may store an executable firmware update for the hardware component on a machine-readable storage medium. The method may then initiate a firmware update application by a firmware-to-operating system (OS) interface upon boot-up of the computing device. Finally, the method may trigger update of the firmware of the hardware component by starting execution of the executable firmware update. Related computing devices and machine-readable storage media are also disclosed.

Methods and devices for updating firmware of a component using a firmware update application

The present disclosure provides a computer-implemented method of performing system maintenance in a computing device. The method includes launching a maintenance application in a pre-operating system environment of a computing device (). The maintenance application performs at least one hardware maintenance operation on the hardware of the computing device during device down time. The method also includes generating a log file based on the results of the at least one hardware maintenance operation (). The method also includes terminating the maintenance application, launching the operating system of the computing device (), and accessing the log file ().

Method and system for performing system maintenance in a computing device

Decision devices, systems, and methods to provide a product resource are provided herein. The decision devices include an analysis engine. The analysis engine receives an information resource and at least one product parameter. The analysis engine searches the information resource to identify at least one search result and dynamically analyzes the at least one search result to provide the product resource.

Decision device and method thereof

An example provides potential solutions for UEFI devices. The example includes scanning an information code generated by the UEFI device while the UEFI is operating according to a UEFI environment. The example further includes requesting a potential solution from a decision device. The request specifies an information code comprising resource information and one or more parameters for a current state of the UEFI environment. The example also includes presenting a representation of the potential solution.

Providing a potential solution

A machine and method to manage BIOS images.

BIOS image manager

Example embodiments relate to testing of a battery of a computing device. In example embodiments, a battery test may include determining whether charge control is available for a battery and reading battery data from the battery based on whether charge control is available for the battery. In addition, in example embodiments, the battery test may include determining whether the battery should be replaced based on the battery data.

Testing of a battery of a computing device

A computing device executes a boot process. During boot process execution, the computing device initiates automatic calibration of a battery connected to the computing device.

Automated battery calibration

A method for managing remote clients includes retrieving a client version identifier for an application program running on a client. The client version identifier is compared with a master version identifier for a master configuration file on a server. An active configuration of the application program on the client is altered while the application program is running.

Growing community of inventors

Spring, TX, United States of America

John Landry