Patents by Inventor Julia L Meinershagen
Julia L Meinershagen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10944132Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.Type: GrantFiled: August 9, 2018Date of Patent: March 9, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Stephen E. Hodges, Ranveer Chandra, Julia L Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Anthony John Ferrese
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Patent number: 10903531Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.Type: GrantFiled: August 9, 2018Date of Patent: January 26, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Stephen E. Hodges, Ranveer Chandra, Julia L Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Anthony John Ferrese
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Patent number: 10379587Abstract: Various embodiments provide techniques and devices for scheduling power loads in devices having multiple batteries. Loads are characterized based on the power required to serve them. Loads are then assigned to batteries in response to the type of load and relative monitored characteristics of the batteries. The monitored battery characteristics can change over time. In some embodiments, stored profile information of the batteries can also be used in scheduling loads. In further embodiments, estimated workloads can also be used to schedule loads.Type: GrantFiled: September 8, 2017Date of Patent: August 13, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Bojun Huang, Julia L Meinershagen, Thomas Moscibroda, Stephen E. Hodges, Ranveer Chandra
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Patent number: 10263421Abstract: This document describes techniques and apparatuses of load allocation for multi-battery devices. In some embodiments, these techniques and apparatuses determine an amount of load power that a multi-battery device consumes to operate. Respective efficiencies at which the device's multiple batteries are capable of providing power are also determined. A respective portion of load power is then drawn from each of the batteries based on their respective efficiencies.Type: GrantFiled: July 14, 2017Date of Patent: April 16, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Bojun Huang, Thomas Moscibroda, Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Publication number: 20190107875Abstract: Latency-based selections of energy storage devices are described herein. In implementations, latency behavior of computing tasks performed by a computing device is predicted for a period of time. Based on the predicted latency behavior of the computing device over the period of time, an assessment is made regarding which of multiple heterogeneous energy storage devices are most appropriate to service the system workload. For example, high energy density devices may be favored for latency sensitive tasks whereas high energy density devices may be favored when latency sensitivity is not a concern. A combination of energy storage devices to service the current workload is selected based upon the latency considerations and then power supply settings are adjusted to cause supply of power from the selected combination of energy storage devices during the time period.Type: ApplicationFiled: April 3, 2018Publication date: April 11, 2019Applicant: Microsoft Technology Licensing, LLCInventors: Anirudh Badam, Ranveer Chandra, Nissanka Arachchige Bodhi Priyantha, Jonathan Alan Dutra, Julia L. Meinershagen, Stephen E. Hodges, Thomas Moscibroda
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Patent number: 10228747Abstract: This document describes techniques and apparatuses for suppressing power spikes. In some embodiments, these techniques and apparatuses determine an available amount of power that a battery is capable of providing while maintaining a particular voltage level and a requisite amount of power that components will consume to perform a task. When the requisite amount of power exceeds the available amount of power, execution of the task or other tasks can be rescheduled effective to enable the battery to maintain the particular voltage level.Type: GrantFiled: June 5, 2017Date of Patent: March 12, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Publication number: 20180375164Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.Type: ApplicationFiled: August 9, 2018Publication date: December 27, 2018Inventors: Stephen E. Hodges, Ranveer Chandra, Julia L. Meinershagen, Nissanka Arachige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Anthony John Ferrese
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Patent number: 10158148Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.Type: GrantFiled: February 18, 2015Date of Patent: December 18, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Stephen E. Hodges, Ranveer Chandra, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Anthony John Ferrese
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Patent number: 10061366Abstract: Schedule-based energy storage device selection is described for a device having an energy storage device system with heterogeneous energy storage devices, such as heterogeneous battery cells. The techniques discussed herein use information regarding a user's schedule (e.g., the user's calendar) to predict future workload patterns for a computing device and reserve energy storage device capacities across multiple heterogeneous energy storage devices to improve efficiency of the energy storage devices. For example, if a user is expected to attend a video conference call later in the day (e.g., due to the video conference call being on the user's calendar), then energy in an energy storage device that is better capable of handling such a workload (providing power during the video conference call) more efficiently is preserved so that the energy is available when the video conference call occurs.Type: GrantFiled: November 17, 2015Date of Patent: August 28, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Anirudh Badam, Ranveer Chandra, Nissanka Arachchige Bodhi Priyantha, Jonathan Alan Dutra, Julia L. Meinershagen, Stephen E. Hodges, Thomas Moscibroda
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Patent number: 9939862Abstract: Latency-based selections of energy storage devices are described herein. In implementations, latency behavior of computing tasks performed by a computing device is predicted for a period of time. Based on the predicted latency behavior of the computing device over the period of time, an assessment is made regarding which of multiple heterogeneous energy storage devices are most appropriate to service the system workload. For example, high energy density devices may be favored for latency sensitive tasks whereas high energy density devices may be favored when latency sensitivity is not a concern. A combination of energy storage devices to service the current workload is selected based upon the latency considerations and then power supply settings are adjusted to cause supply of power from the selected combination of energy storage devices during the time period.Type: GrantFiled: November 13, 2015Date of Patent: April 10, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Anirudh Badam, Ranveer Chandra, Nissanka Arachchige Bodhi Priyantha, Jonathan Alan Dutra, Julia L. Meinershagen, Stephen E. Hodges, Thomas Moscibroda
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Publication number: 20180059753Abstract: Various embodiments provide techniques and devices for scheduling power loads in devices having multiple batteries. Loads are characterized based on the power required to serve them. Loads are then assigned to batteries in response to the type of load and relative monitored characteristics of the batteries. The monitored battery characteristics can change over time. In some embodiments, stored profile information of the batteries can also be used in scheduling loads. In further embodiments, estimated workloads can also be used to schedule loads.Type: ApplicationFiled: September 8, 2017Publication date: March 1, 2018Inventors: Bojun Huang, Julia L. Meinershagen, Thomas Moscibroda, Stephen E. Hodges, Ranveer Chandra
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Publication number: 20170317493Abstract: This document describes techniques and apparatuses of load allocation for multi-battery devices. In some embodiments, these techniques and apparatuses determine an amount of load power that a multi-battery device consumes to operate. Respective efficiencies at which the device's multiple batteries are capable of providing power are also determined. A respective portion of load power is then drawn from each of the batteries based on their respective efficiencies.Type: ApplicationFiled: July 14, 2017Publication date: November 2, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Bojun Huang, Thomas Moscibroda, Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Patent number: 9793570Abstract: A shared electrode battery includes multiple electrodes of one type (e.g., two or more cathodes) that share an electrode of another type (e.g., a shared anode). The multiple electrodes of the same type (e.g., the multiple cathodes) can have different characteristics, such as different chemistries, particle sizes and distributions, capacities, and so forth that are designed to provide particular features such as high energy density, high power density, high cycle life, fast charge, safety, and so forth. Multiple cathode-anode pairings of one of the multiple electrodes of the same type with the shared electrode are possible. Switching hardware is operable to select one of the multiple pairings at any given time, allowing the battery to provide power using the cathode having the desired characteristics at that given time. A single battery is thus able to provide these multiple different features.Type: GrantFiled: December 4, 2015Date of Patent: October 17, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Ranveer Chandra, Eric Horvitz, Anirudh Badam, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Christopher Dekmezian
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Publication number: 20170269670Abstract: This document describes techniques and apparatuses for suppressing power spikes. In some embodiments, these techniques and apparatuses determine an available amount of power that a battery is capable of providing while maintaining a particular voltage level and a requisite amount of power that components will consume to perform a task. When the requisite amount of power exceeds the available amount of power, execution of the task or other tasks can be rescheduled effective to enable the battery to maintain the particular voltage level.Type: ApplicationFiled: June 5, 2017Publication date: September 21, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Patent number: 9760138Abstract: Various embodiments provide techniques and devices for scheduling power loads in devices having multiple batteries. Loads are characterized based on the power required to serve them. Loads are then assigned to batteries in response to the type of load and relative monitored characteristics of the batteries. The monitored battery characteristics can change over time. In some embodiments, stored profile information of the batteries can also be used in scheduling loads. In further embodiments, estimated workloads can also be used to schedule loads.Type: GrantFiled: April 25, 2014Date of Patent: September 12, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Bojun Huang, Julia L. Meinershagen, Thomas Moscibroda, Stephen E. Hodges, Ranveer Chandra
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Patent number: 9748765Abstract: This document describes techniques and apparatuses of load allocation for multi-battery devices. In some embodiments, these techniques and apparatuses determine an amount of load power that a multi-battery device consumes to operate. Respective efficiencies at which the device's multiple batteries are capable of providing power are also determined. A respective portion of load power is then drawn from each of the batteries based on their respective efficiencies.Type: GrantFiled: February 26, 2015Date of Patent: August 29, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Bojun Huang, Thomas Moscibroda, Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Patent number: 9696782Abstract: This document describes techniques and apparatuses for suppressing power spikes. In some embodiments, these techniques and apparatuses determine an available amount of power that a battery is capable of providing while maintaining a particular voltage level and a requisite amount of power that components will consume to perform a task. When the requisite amount of power exceeds the available amount of power, power states of the components are altered effective to enable the battery to maintain the particular voltage level.Type: GrantFiled: February 9, 2015Date of Patent: July 4, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Ranveer Chandra, Stephen E. Hodges, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Anirudh Badam, Thomas Moscibroda, Pan Hu, Anthony John Ferrese, Evangelia Skiani
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Publication number: 20170162899Abstract: A shared electrode battery includes multiple electrodes of one type (e.g., two or more cathodes) that share an electrode of another type (e.g., a shared anode). The multiple electrodes of the same type (e.g., the multiple cathodes) can have different characteristics, such as different chemistries, particle sizes and distributions, capacities, and so forth that are designed to provide particular features such as high energy density, high power density, high cycle life, fast charge, safety, and so forth. Multiple cathode-anode pairings of one of the multiple electrodes of the same type with the shared electrode are possible. Switching hardware is operable to select one of the multiple pairings at any given time, allowing the battery to provide power using the cathode having the desired characteristics at that given time. A single battery is thus able to provide these multiple different features.Type: ApplicationFiled: December 4, 2015Publication date: June 8, 2017Inventors: Ranveer Chandra, Eric Horvitz, Anirudh Badam, Julia L. Meinershagen, Nissanka Arachchige Bodhi Priyantha, Christopher Dekmezian
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Publication number: 20170139459Abstract: Schedule-based energy storage device selection is described for a device having an energy storage device system with heterogeneous energy storage devices, such as heterogeneous battery cells. The techniques discussed herein use information regarding a user's schedule (e.g., the user's calendar) to predict future workload patterns for a computing device and reserve energy storage device capacities across multiple heterogeneous energy storage devices to improve efficiency of the energy storage devices. For example, if a user is expected to attend a video conference call later in the day (e.g., due to the video conference call being on the user's calendar), then energy in an energy storage device that is better capable of handling such a workload (providing power during the video conference call) more efficiently is preserved so that the energy is available when the video conference call occurs.Type: ApplicationFiled: November 17, 2015Publication date: May 18, 2017Inventors: Anirudh Badam, Ranveer Chandra, Nissanka Arachchige Bodhi Priyantha, Jonathan Alan Dutra, Julia L. Meinershagen, Stephen E. Hodges, Thomas Moscibroda
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Publication number: 20170139465Abstract: Latency-based selections of energy storage devices are described herein. In implementations, latency behavior of computing tasks performed by a computing device is predicted for a period of time. Based on the predicted latency behavior of the computing device over the period of time, an assessment is made regarding which of multiple heterogeneous energy storage devices are most appropriate to service the system workload. For example, high energy density devices may be favored for latency sensitive tasks whereas high energy density devices may be favored when latency sensitivity is not a concern. A combination of energy storage devices to service the current workload is selected based upon the latency considerations and then power supply settings are adjusted to cause supply of power from the selected combination of energy storage devices during the time period.Type: ApplicationFiled: November 13, 2015Publication date: May 18, 2017Inventors: Anirudh Badam, Ranveer Chandra, Nissanka Arachchige Bodhi Priyantha, Jonathan Alan Dutra, Julia L. Meinershagen, Stephen E. Hodges, Thomas Moscibroda