Abstract: Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Abstract: Batteries and associated charging conditions or other operating conditions are evaluated by a computational model that classifies or characterizes the battery and associated conditions. Such battery model may classify batteries according to any of many different considerations such as whether the conditions are safe or unsafe or whether the conditions are likely to unnecessarily degrade the future performance of the battery. In some cases, the battery model executes while the battery is installed in an electronic device such as a smart phone or a vehicle. In some cases, the battery model executes and provides results (e.g., a classification of the battery) in real time while the battery is installed and being charged.

Abstract: Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Abstract: Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Abstract: Batteries and associated charging conditions or other operating conditions are evaluated by a computational model that classifies or characterizes the battery and associated conditions. Such battery model may classify batteries according to any of many different considerations such as whether the conditions are safe or unsafe or whether the conditions are likely to unnecessarily degrade the future performance of the battery. In some cases, the battery model executes while the battery is installed in an electronic device such as a smart phone or a vehicle. In some cases, the battery model executes and provides results (e.g., a classification of the battery) in real time while the battery is installed and being charged.

Abstract: Disclosed is a method for identifying a battery type and/or a battery user. Measuring circuitry may be used to collect battery parameters that may be analyzed by control circuitry to create an adaptive charge profile that is applied to a battery by charging circuitry. Battery parameters may be recorded in a battery use signature. Logic may be used to process a battery use signature and identify a single user across multiple battery operated devices and/or discriminate between multiple users of a device. In some cases, battery use signature may be used to identify battery information including the make, model, and lot from which the battery was manufactured.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Abstract: Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Abstract: A wireless charging system for charging a battery may include wireless charging circuitry based on inductive coupling, where the wireless charging circuitry includes: control circuitry for adaptively charging or charging a battery/cell; and an output of the charging circuitry configured to apply an adapted, unregulated current and/or voltage to the battery. In certain embodiments, the adaptation of the unregulated current and/or voltage is based on the charging and/or operating conditions of the battery.

Abstract: Disclosed is a method for identifying a battery type and/or a battery user. Measuring circuitry may be used to collect battery parameters that may be analyzed by control circuitry to create an adaptive charge profile that is applied to a battery by charging circuitry. Battery parameters may be recorded in a battery use signature. Logic may be used to process a battery use signature and identify a single user across multiple battery operated devices and/or discriminate between multiple users of a device. In some cases, battery use signature may be used to identify battery information including the make, model, and lot from which the battery was manufactured.

Abstract: Method and apparatus to charge a battery are disclosed. The method comprises applying a first charge signal to the battery, wherein the first charge signal is calculated to charge the battery as required by a first charge time parameter, the first charge-time parameter specifying a time to reach (i) a state of charge of the battery or (ii) a charge storage level corresponding to a usage time of the battery. The method further includes determining a second charge signal using feedback information and applying the second charge signal to the battery, wherein an adjustment from the first charge signal to the second charge signal improves a cycle life of the battery. An apparatus for charging the battery implementing the method is also provided.

Abstract: Disclosed is a method for identifying a battery type and/or a battery user. Measuring circuitry may be used to collect battery parameters that may be analyzed by control circuitry to create an adaptive charge profile that is applied to a battery by charging circuitry. Battery parameters may be recorded in a battery use signature. Logic may be used to process a battery use signature and identify a single user across multiple battery operated devices and/or discriminate between multiple users of a device. In some cases, battery use signature may be used to identify battery information including the make, model, and lot from which the battery was manufactured.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Abstract: Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Abstract: Batteries and associated charging conditions or other operating conditions are evaluated by a computational model that classifies or characterizes the battery and associated conditions. Such battery model may classify batteries according to any of many different considerations such as whether the conditions are safe or unsafe or whether the conditions are likely to unnecessarily degrade the future performance of the battery. In some cases, the battery model executes while the battery is installed in an electronic device such as a smart phone or a vehicle. In some cases, the battery model executes and provides results (e.g., a classification of the battery) in real time while the battery is installed and being charged.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to determining data which is representative of the state of health, or a change therein, of the battery using the data which is representative of (i) the relaxation time of the battery and/or (ii) the overpotential of the battery. In another aspect the present inventions are directed to techniques and/or circuitry to adapt one or more characteristics of a charge signal using data which is representative of the state of health, or a change therein, of the battery. In yet another aspect the present inventions are directed to techniques and/or circuitry to determine a state of charge of the battery using data which is representative of the state of health, or a change therein, of the battery.

Abstract: The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.