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: In one aspect, non-invasive methods are described in which combinations of certain battery parameter values are used to identify whether metal plating (e.g., lithium plating) has occurred during charging of a battery. In response to the detection of metal plating and/or conditions associated with metal plating, one or more characteristics of a charge process may be adjusted or adapted to maintain battery parameter values within a specified range. In some cases, after detection of metal plating, a battery charge process may be adjusted or adapted to remove metal plating from a battery's anode by a discharge pulse.

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: Disclosed are methods and systems for measuring and managing swelling of rechargeable batteries in situ. Some implementations involve using capacity fade or state of health of rechargeable batteries to estimate swelling of the rechargeable batteries. Some implementations provide methods and systems for measuring battery swelling based on inductive or capacitive coupling between sensors and the battery. Some implementations provide means to manage or reduce swelling of rechargeable batteries by applying adaptive charging with consideration of battery swelling.

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: Disclosed are methods and systems for measuring and managing swelling of rechargeable batteries in situ. Some implementations involve using capacity fade or state of health of rechargeable batteries to estimate swelling of the rechargeable batteries. Some implementations provide methods and systems for measuring battery swelling based on inductive or capacitive coupling between sensors and the battery. Some implementations provide means to manage or reduce swelling of rechargeable batteries by applying adaptive charging with consideration of battery swelling.

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: Positive electrodes for secondary batteries formed with a plurality of substantially aligned flakes within a coating. The flakes can be formed from metal oxide materials and have a number average longest dimension of greater than 60 ?m. A variety of metal oxide or metal phosphate materials may be selected such as a group consisting of LiCoO2, LiMn2O4, Li(M1x1M2x2Co1-x1-x2)O2 where M1 and M2 are selected from among Li, Ni, Mn, Cr, Ti, Mg, or Al, 0?x1?0.5 and 0?x2?0.5, or alternatively, LiM1(1-x)MnxO2 where 0<x<0.8 and M1 represents one or more metal elements. Methods for making positive electrode materials are also provided involving the formation of structures with a desired longest dimension, preferably polycrystalline flakes. A cathode coating containing polycrystalline flakes may be deposited onto a conductive substrate and pressed to a desired final electrode thickness.

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: 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: Positive electrodes for secondary batteries formed with a plurality of substantially aligned flakes within a coating. The flakes can be formed from metal oxide materials and have a number average longest dimension of greater than 60 ?m. A variety of metal oxide or metal phosphate materials may be selected such as a group consisting of LiCoO2, LiMn2O4, Li(M1x1M2x2Co1-x1-x2)O2 where M1 and M2 are selected from among Li, Ni, Mn, Cr, Ti, Mg, or Al, 0?x1?0.5 and 0?x2?0.5, or alternatively, LiM1(1-x)MnxO2 where 0<x<0.8 and M1 represents one or more metal elements. Methods for making positive electrode materials are also provided involving the formation of structures with a desired longest dimension, preferably polycrystalline flakes. A cathode coating containing polycrystalline flakes may be deposited onto a conductive substrate and pressed to a desired final electrode thickness.

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.