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US Patent 11069926 Controlling ongoing battery system usage via parametric linear approximation

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Veritone
Veritone
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11069926
Date of Patent
July 20, 2021
Patent Application Number
16276545
Date Filed
February 14, 2019
Patent Citations
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US Patent 10527677 Battery state estimation apparatus
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US Patent 10666076 Using battery state excitation to control battery operations
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US Patent 10686321 Secondary battery management
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US Patent 10816949 Managing coordinated improvement of control operations for multiple electrical devices to reduce power dissipation
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US Patent 10909642 Building energy storage system with multiple demand charge cost optimization
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US Patent 10969757 Controlling ongoing battery system usage while repeatedly reducing power dissipation
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US Patent 10023064 Power capability estimation for vehicle battery systems
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US Patent 10063066 Battery control
...
Patent Citations Received
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US Patent 11707987 Vehicle simulating method and system
0
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US Patent 11567551 Adaptive power supply
Patent Primary Examiner
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John T Trischler
Patent abstract

An automated control system to control at least some operations of one or more target physical systems that each includes one or more batteries. The described techniques may include determining whether and how much power to supply for each of a series of time periods, and implementing the determined power amount for a time period by determining and setting one of multiple impedance level control values of an associated actuator component. Repeated automated operations of this type may include using parametric linear approximation to determine one of multiple enumerated control values that best satisfies one or more defined goals at a given time in light of current state information (e.g., current output from the battery, voltage from the battery, battery temperature, etc.), such as by repeatedly determining an improved distribution function over the control values, and propagating it over multiple future time periods.

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