Texas Instruments Corporation

Yevgen Barsukov

Yandong Zhang

Brian Paul Alongi

Dale Allen Blackwell

Jinrong Qian

Jason Michael Battle

Konstantin Galburt

Michael A Vega

David Patrick Magee

Charles Kasimer Sestok, Iv

Robert Martinez

Tsing Hsu

Dan Russell Poole

Peter Fundaro

Peter Mignano

Ming Yu

Kang Kang

William Harold Jackson, Jr

Githin Karippumannil Prasad

Githin K Prasad

Sai Bun Samuel Wong

A circuit for determining device under test (DUT) model parameters is described. The circuit includes a parameter estimator circuit configured to: obtain initial values for DUT model parameters based on sense signal samples; execute a parameter convergence model having a regularization parameter and a cost function that accounts for error residuals; and obtain final values for the DUT model parameters by adjusting the regularization parameter in iterations of the parameter convergence model as a function of cost function improvement until the parameter convergence model converges to within a target tolerance.

Measurement circuit having frequency domain estimation of device under test (DUT) model parameters

From a current measurement circuit, digital samples are received of a current signal that flows through a battery cell within a measurement period. From a voltage measurement circuit, digital samples are received of a voltage signal across the battery cell within the measurement period. First voltage spectral components are generated based on performing a first transform operation on the digital samples of the voltage signal. A current spectrum is generated based on performing a second transform operation on the digital samples of the current signal. Second voltage spectral components are generated based on a first condition of the battery cell before the measurement period and a second condition of the battery cell after the measurement period. A voltage spectrum is including the first voltage spectrum and the second voltage spectrum is generated. An impedance spectrum of the battery cell is generated based on the voltage spectrum and the current spectrum.

Battery impedance spectra measurement

One embodiment of the invention includes a battery sense system. The system includes a temperature sensor configured to measure a temperature of a battery and a memory configured to store predetermined data associated with steady-state and transient behaviors of the battery relative to a depth of discharge (DOD) of the battery. The system also includes a controller configured to measure a voltage of the battery and to calculate a state of charge (SOC) of the battery based on the voltage, the predetermined data, and the temperature.

System and method for sensing battery capacity

Controllers and methods to manage a battery, in which a controller estimates scale factor and a steady state current rate according to multiple battery voltage values and a steady state model during steady state operation, and estimates the current rate according to a battery voltage value, the scale factor, and a dynamic model of the battery during dynamic operation, and the controller estimates a remaining capacity of the battery according to the current rate, without requiring controller reconfiguration for different batteries.

Voltage based zero configuration battery management

A method and apparatus for fast charging a battery with optimal charging. In an arrangement, a system includes a battery charger for applying a voltage to a rechargeable battery; and a controller coupled to the battery charger and monitoring at least one of a battery voltage, a battery temperature, and the current flowing into the battery; wherein the system is configured to apply a charging current from the battery charger by calculating an open cell anode voltage and an anode resistance of the battery, and determining the charging current. In additional arrangements, lithium ion plating is prevented by the charging current. Additional methods and arrangements are disclosed.

Apparatus for fast battery charging

Disclosed examples include systems and methods for determining an internal short condition in a battery. The method includes computing an estimated current value based on a measured battery voltage, a measured battery current, a measured battery temperature, and a model of the battery that includes steady state characteristics of the battery and transient characteristics of the battery. The method further includes computing an internal short current value according to the measured battery current and the estimated current value, and determining if a battery short condition exists according to the internal short current value.

System and apparatus for battery internal short current detection under arbitrary load conditions

Predictive battery pack cell balancing apparatus and methods are presented in which active bypass current switching is controlled according to initial balancing bypass current values to balance the cell depth of discharge (DOD) values by the end of a charging/discharging time period, and according to continuous balancing bypass current values representing an amount of bypass current needed to maintain a present relationship of the cell DOD values.

System and method for battery pack management using predictive balancing

A battery charger can include a charger controller configured to determine a total charge time that characterizes a time needed to charge a battery, the total charge time being based on a received state of charge (SOC) of the battery that characterizes a present SOC of the battery. The charger controller can also be configured to determine a charging start time for the battery based on a predetermined full charge time and the total charge time.

Battery charger

Methods and apparatus for optimal fast battery charging

Fast charging for lithium ion battery

A system includes a battery; an analog-to-digital converter coupled to the battery and capable of measuring an output voltage of the battery; a processor, receiving measured battery output voltages from the analog-to-digital converter; the processor using a first equivalent circuit model of the battery to estimate battery current when the battery operation is static; and the processor using a second equivalent circuit model of the battery to estimate battery current when the battery operation is dynamic.

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Richardson, TX, United States of America

Yevgen Barsukov