Abstract: Described herein is a device for autonomously monitoring a battery is provided. The device is integrated with the battery (e.g., by being electrically coupled to the battery). The device obtains measurement data by injecting electrical signals into the battery and measuring an electrical response of the battery. The device participates in an authentication protocol with a computing device to verify a unique identity of the device to the computing device. After performing the authentication protocol verifying the unique identity of the device, the device transmits battery data to the computer. Further, techniques for verifying the identity of the battery using measurement data obtained by the device are described herein. The techniques generate a battery signature using the measurement data that is then used to verify the identity of the battery. For example, the battery signature may be used to determine whether the battery is counterfeit or defective.

Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements, wherein each of the terminal impedance measurements is taken at a different one of a plurality of frequencies; determining model parameters for a multivariable polynomial regression model; and applying the multivariable polynomial regression model to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: Sensors and methods for determining the state of charge of a battery are described. The state of charge is determined in some instances by applying a current perturbation having a frequency to the battery terminals, monitoring the response signal, and determining the phase of the response signal. The phase may be correlated to the state of charge of the battery, so that once the phase is determined, a determination of the state of charge of the battery may be made. In some situations, the state of charge may be used to determine the operating condition of a load connected to the battery. In some embodiments, the state of charge may be used to determine whether the battery is defective.

Abstract: The battery monitoring techniques described herein may be used for detection of battery anomalies or faults. Also, the battery monitoring techniques described herein may be used to generate estimates of total battery capacity. The battery monitoring techniques may employ an alternating current frequency response (ACFR) of the battery. The ACFR response of the battery may be used to detect anomalies and/or estimate a total capacity of the battery.

Abstract: Sensors and methods for determining the state of charge of a battery are described. The state of charge is determined in some instances by applying a current perturbation having a frequency to the battery terminals, monitoring the response signal, and determining the phase of the response signal. The phase may be correlated to the state of charge of the battery, so that once the phase is determined, a determination of the state of charge of the battery may be made. In some situations, the state of charge may be used to determine the operating condition of a load connected to the battery. In some embodiments, the state of charge may be used to determine whether the battery is defective.

Abstract: A process for extracting, recovering and recycling metals and materials from spent lithium ion batteries (LIB) that comprises the contacting battery waste products with a deep eutectic solvent, and leaching the metal from the battery waste product and extracting the metal into the deep eutectic solvent with heat and agitation. After the leaching and extracting, the process further includes recovering the dissolved metals ions from the deep eutectic solvent solution, followed by a step of regeneration of cathode materials.

Abstract: One embodiment is a system for estimating an internal temperature of a battery including a first circuit for receiving a system input signal comprising a measurement of at least one observable quantity associated with the battery and outputting an average battery temperature signal based on the system input signal; and an estimator for receiving the system input signal and the average battery temperature signal and estimating an internal temperature of the battery based on the received signals, wherein the estimator comprises a lumped thermal model of the battery comprising a plurality of parameters.

Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements for the battery, wherein each of the terminal impedance measurements is obtained at a different one of a plurality of frequencies; automatically selecting one of a plurality of battery models using on a value of a parameter of the battery, wherein each of the battery models has been trained and corresponds to a different range of values for the battery parameter and wherein the value of the parameter of the battery falls within the range of values for the battery parameter corresponding to the selected one of the plurality of battery models; and applying the selected one of the plurality of battery models to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements, wherein each of the terminal impedance measurements is taken at a different one of a plurality of frequencies; determining model parameters for a multivariable polynomial regression model; and applying the multivariable polynomial regression model to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: The battery monitoring techniques described herein may be used for detection of battery anomalies or faults. Also, the battery monitoring techniques described herein may be used to generate estimates of total battery capacity. The battery monitoring techniques may employ an alternating current frequency response (ACFR) of the battery. The ACFR response of the battery may be used to detect anomalies and/or estimate a total capacity of the battery.

Abstract: Described herein is a device for autonomously monitoring a battery is provided. The device is integrated with the battery (e.g., by being electrically coupled to the battery). The device obtains measurement data by injecting electrical signals into the battery and measuring an electrical response of the battery. The device participates in an authentication protocol with a computing device to verify a unique identity of the device to the computing device. After performing the authentication protocol verifying the unique identity of the device, the device transmits battery data to the computer. Further, techniques for verifying the identity of the battery using measurement data obtained by the device are described herein. The techniques generate a battery signature using the measurement data that is then used to verify the identity of the battery. For example, the battery signature may be used to determine whether the battery is counterfeit or defective.

Abstract: Sensors and methods for determining the state of charge of a battery are described. The state of charge is determined in some instances by applying a current perturbation having a frequency to the battery terminals, monitoring the response signal, and determining the phase of the response signal. The phase may be correlated to the state of charge of the battery, so that once the phase is determined, a determination of the state of charge of the battery may be made. In some situations, the state of charge may be used to determine the operating condition of a load connected to the battery. In some embodiments, the state of charge may be used to determine whether the battery is defective.

Abstract: A process for extracting, recovering and recycling metals and materials from spent lithium ion batteries (LIB) that comprises the contacting battery waste products with a deep eutectic solvent, and leaching the metal from the battery waste product and extracting the metal into the deep eutectic solvent with heat and agitation. After the leaching and extracting, the process further includes recovering the dissolved metals ions from the deep eutectic solvent solution, followed by a step of regeneration of cathode materials.

Abstract: In some embodiments, the present disclosure pertains to energy storage compositions that comprise a clay and an ionic liquid. In some embodiments, the clay is a bentonite clay and the ionic liquid is a room temperature ionic liquid (RTIL). In some embodiments, the clay and the ionic liquid are present in the energy storage compositions of the present disclosure in a weight ratio of 1:1. In some embodiments, the ionic liquid further comprises a lithium-containing salt that is dissolved in the ionic liquid. In some embodiments, the energy storage compositions of the present disclosure further comprise a thermoplastic polymer, such as polyurethane. In some embodiments, the thermoplastic polymer constitutes about 10% by weight of the energy storage composition. In some embodiments, the energy storage compositions of the present disclosure are associated with components of energy storage devices, such as electrodes and separators.

Abstract: Compositions and devices for harvesting electrical energy from mechanical and thermal energy, storing such produced energy, and sensing strain based on low cost materials and processes. In embodiments, the compositions are flexible and include a flexible polymer embedded and coated with a nanostructured piezoelectric material.

Abstract: Compositions and devices for harvesting electrical energy from mechanical and thermal energy, storing such produced energy, and sensing strain based on low cost materials and processes. In embodiments, the compositions are flexible and include a flexible polymer embedded and coated with a nanostructured piezoelectric material.