Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: Sensing devices for detecting analytes. The sensing devices may include a substrate, and a sensor element removably coupled to an I/O interface of the substrate. The sensor element may include one or more carbon-based sensors configured to detect the presence of one or more analytes. The sensor element may include a plurality of sensors arranged as a sensor array on the substrate. At least two of the sensors may include a first carbon-based sensing material disposed between a first pair of electrodes, and a second carbon-based sensing material disposed between a second pair of electrodes. The first carbon-based sensing material may be configured to detect a presence of each analyte of a group of analytes, and the second carbon-based sensing material may be configured to confirm the presence of each analyte of a subset of the group of analytes. The sensor element may be replaceable.

Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: A battery safety system includes a flow valve and a sensing device. The flow valve is disposed on a housing of the battery and includes a first valve that is embedded inside the housing and a second valve that intersects the housing. The first valve includes a cavity through which analytes released upon electrochemical reactions within the battery flow towards the second valve. The second valve extends through the housing to the outside, and defines an opening through which the released analytes exit the housing. The sensing device is disposed within the cavity of the first valve of the valve and is situated in a manner to be in fluidic contact with the released analytes as they flow from the inside of the battery to the outside. In some aspects, the battery safety system can detect a minute presence of one or more analytes.

Abstract: A battery safety system includes a flow valve and a sensing device. The flow valve is disposed on a housing of the battery and includes a first valve that is embedded inside the housing and a second valve that intersects the housing. The first valve includes a cavity through which analytes released upon electrochemical reactions within the battery flow towards the second valve. The second valve extends through the housing to the outside, and defines an opening through which the released analytes exit the housing. The sensing device is disposed within the cavity of the first valve of the valve and is situated in a manner to be in fluidic contact with the released analytes as they flow from the inside of the battery to the outside. In some aspects, the battery safety system can detect a minute presence of one or more analytes. In some aspects, the sensor is in communication with a battery management system.

Abstract: A sensing device configured to monitor a battery pack is disclosed. The sensing device may include a plurality of carbon-based sensors enclosed within the battery pack. Each sensor coupled may be between a corresponding pair of electrodes, and may include a plurality of 3D graphene-based sensing materials. In some instances, the 3D graphene-based sensing materials of a first sensor may be functionalized with a first material configured to detect a presence of each analyte of a first group of analytes, and the 3D graphene-based sensing materials of a second sensor may be functionalized with a second material configured to detect a presence of each analyte of a second group of analytes.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Sensors for detecting analytes are disclosed. In various implementations, the sensing device may include a substrate and a sensor array. The sensor array may be arranged on the substrate, and may include a plurality of sensors. In some implementations, at least two of the sensors may include a first carbon-based sensing material disposed between a first pair of electrodes, and a second carbon-based sensing material disposed between a second pair of electrodes. The first carbon-based sensing material may be configured to detect a presence of each analyte of a group of analytes, and the second carbon-based sensing material may be configured to confirm the presence of each analyte of a subset of the group of analytes. In some instances, the group of analytes includes at least twice as many different analytes as the subset of analytes.

Abstract: A battery safety system includes a flow valve and a sensing device. The flow valve is disposed on a housing of the battery and includes a first valve that is embedded inside the housing and a second valve that intersects the housing. The first valve includes a cavity through which analytes released upon electrochemical reactions within the battery flow towards the second valve. The second valve extends through the housing to the outside, and defines an opening through which the released analytes exit the housing. The sensing device is disposed within the cavity of the first valve of the valve and is situated in a manner to be in fluidic contact with the released analytes as they flow from the inside of the battery to the outside. In some aspects, the battery safety system can detect a minute presence of one or more analytes. In some aspects, the sensor is in communication with a battery management system.

Abstract: This disclosure provides a battery including a cathode, an anode positioned opposite the cathode and a carbon interface layer. The carbon interface layer includes an electrically insulating flaky carbon layer conformally encapsulating the anode. A plurality of carbon nano-onions (CNOs) defining a plurality of interstitial pore volumes are interspersed throughout the electrically insulating flaky carbon layer. An electrolyte is in contact with the carbon interface layer and the cathode. A separator is positioned between the anode and the cathode. The electrically insulating flaky carbon layer can include graphene oxide (GO). The plurality of interstitial pore volumes can be configured to transport lithium (Li) ions between the anode and the cathode via the plurality of interstitial pore volumes in a bulk phase of the electrolyte. The carbon interface layer can be configured to inhibit growth of Li dendritic structures from the anode towards the cathode.

Abstract: A battery safety system includes a flow valve and a sensing device. The flow valve is disposed on a housing of the battery and includes a first valve that is embedded inside the housing and a second valve that intersects the housing. The first valve includes a cavity through which analytes released upon electrochemical reactions within the battery flow towards the second valve. The second valve extends through the housing to the outside, and defines an opening through which the released analytes exit the housing. The sensing device is disposed within the cavity of the first valve of the valve and is situated in a manner to be in fluidic contact with the released analytes as they flow from the inside of the battery to the outside. In some aspects, the battery safety system can detect a minute presence of one or more analytes. In some aspects, the sensor is in communication with a battery management system.

Abstract: This disclosure provides a battery including a cathode an anode positioned opposite the cathode. The anode includes a hybrid artificial solid-electrolyte interphase (A-SEI) layer encapsulating the anode. The hybrid A-SEI layer includes a first active component, a second active component disposed on the first active component, and a plurality of carbon-containing aggregates interwoven throughout the first and second active components and configured to inhibit growth of Li dendritic structures from the anode towards the cathode. A separator is positioned between the anode and the cathode. The cathode includes a porous carbon-based structure configured to expand in a presence of polysulfide (PS) shuttle within one or more portions of the battery. An electrolyte is dispersed between the anode and the cathode and in contact with both the anode and the cathode. The plurality of carbon-containing aggregates can include a polymer, which includes a cross-linked polymeric network.

Abstract: This disclosure provides a battery including a cathode, an anode positioned opposite the cathode and a carbon interface layer. The carbon interface layer includes an electrically insulating flaky carbon layer conformally encapsulating the anode. A plurality of carbon nano-onions (CNOs) defining a plurality of interstitial pore volumes are interspersed throughout the electrically insulating flaky carbon layer. An electrolyte is in contact with the carbon interface layer and the cathode. A separator is positioned between the anode and the cathode. The electrically insulating flaky carbon layer can include graphene oxide (GO). The plurality of interstitial pore volumes can be configured to transport lithium (Li) ions between the anode and the cathode via the plurality of interstitial pore volumes in a bulk phase of the electrolyte. The carbon interface layer can be configured to inhibit growth of Li dendritic structures from the anode towards the cathode.

Abstract: This disclosure provides a battery comprising a cathode and an anode positioned opposite the cathode. A hybrid artificial solid-electrolyte interphase (A-SEI) layer is deposited on the anode and includes a plurality of active components. A blended material is interwoven throughout the plurality of active components and configured to inhibit growth of Lithium (Li) dendritic structures from the anode to the cathode. The blended material includes a combination of crystalline sp2-bound carbon domains of graphene sheets and a plurality of flexible wrinkle areas positioned at joinder points of two of more of the crystalline sp2-bound carbon domains of graphene sheets and a polymeric matrix configured to bind the plurality of active components and the blended material together. An electrolyte is in contact with the hybrid A-SEI and the cathode and a separator is positioned between the anode and the cathode. The blended material includes curable carboxylate salts of metals.

Abstract: This disclosure provides a battery including a cathode, an anode positioned opposite the cathode and a carbon interface layer. The carbon interface layer includes an electrically insulating flaky carbon layer conformally encapsulating the anode. A plurality of carbon nano-onions (CNOs) defining a plurality of interstitial pore volumes are interspersed throughout the electrically insulating flaky carbon layer. An electrolyte is in contact with the carbon interface layer and the cathode. A separator is positioned between the anode and the cathode. The electrically insulating flaky carbon layer can include graphene oxide (GO). The plurality of interstitial pore volumes can be configured to transport lithium (Li) ions between the anode and the cathode via the plurality of interstitial pore volumes in a bulk phase of the electrolyte. The carbon interface layer can be configured to inhibit growth of Li dendritic structures from the anode towards the cathode.

Abstract: This disclosure provides an electrode having a carbon-based structure with a plurality of localized reaction sites. An open porous scaffold is defined by the carbon-based structure and can confine an active material in the localized reaction sites. A plurality of engineered failure points is formed throughout the carbon-based structure and can expand in a presence of volumetric expansion associated with polysulfide shuttle. The open porous scaffold can inhibit a formation of interconnecting solid networks of the active material between the localized reaction sites. The plurality of engineered failure points can relax or collapse during an initial activation of the electrode. The open porous scaffold can define a hierarchical porous compliant cellular architecture formed of a plurality of interconnected graphene platelets fused together at substantially orthogonal angles.