Abstract: Systems, methods, and devices are provided for estimating a state-of-charge in an energy storage system. The systems, methods, and devices may measure a current and a voltage related to the energy storage system, generate a model-based state-of-charge estimate based thereon, generate an aggregated state-of-charge estimate based on the model-based state-of-charge estimate, generate an adaptation current based on the measured current, aggregated state-of-charge estimate, and the adaptive state-of-charge estimate, and update the adaptive state-of-charge estimate based on the measured current and the adaptation current. The systems, methods, and devices may also provide a tracking indication whether the adaptive state-of-charge estimate is tracking between upper and lower confidence limits.

Abstract: Systems, methods, and devices are provided for executing cell balancing in an energy storage system. The systems, methods, and devices may comprise an imbalance estimation system and a balancing execution system. The imbalance estimation system may be configured to receive, and to determine an estimated cell imbalance and imbalance estimation uncertainty of the energy storage. The estimated cell imbalance of the energy storage may be based on a voltage input, V, representing a measured voltage associated with the energy storage device, and a probabilistic battery model associated with the energy storage device. The balancing estimation system may comprise a balancing circuit, the balancing execution system configured to partially discharge a cell via the balancing circuit based on the estimated cell imbalance of the energy storage device.

Abstract: Systems, methods, and devices are provided for estimating a state-of-charge in an energy storage system. The systems, methods, and devices may measure a current and a voltage related to the energy storage system, generate a model-based state-of-charge estimate based thereon, generate an aggregated state-of-charge estimate based on the model-based state-of-charge estimate, generate an adaptation current based on the measured current, aggregated state-of-charge estimate, and the adaptive state-of-charge estimate, and update the adaptive state-of-charge estimate based on the measured current and the adaptation current. The systems, methods, and devices may also provide a tracking indication whether the adaptive state-of-charge estimate is tracking between upper and lower confidence limits.

Abstract: Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PRn, and a normalized capacity estimate, NCn, and may be configured to determine the estimate of the SOH based on the power rating estimate, PRn, and the normalized capacity estimate, NCn.

Abstract: Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PRn, and a normalized capacity estimate, NCn, and may be configured to determine the estimate of the SOH based on the power rating estimate, PRn, and the normalized capacity estimate, NCn.

Abstract: Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PRn, and a normalized capacity estimate, NCn, and may be configured to determine the estimate of the SOH based on the power rating estimate, PRn, and the normalized capacity estimate, NCn.

Abstract: Systems, methods, and devices are provided for estimating a state-of-charge in an energy storage system. The systems, methods, and devices may measure a current and a voltage related to the energy storage system, generate a model-based state-of-charge estimate based thereon, generate an aggregated state-of-charge estimate based on the model-based state-of-charge estimate, generate an adaptation current based on the measured current, aggregated state-of-charge estimate, and the adaptive state-of-charge estimate, and update the adaptive state-of-charge estimate based on the measured current and the adaptation current. The systems, methods, and devices may also provide a tracking indication whether the adaptive state-of-charge estimate is tracking between upper and lower confidence limits.

Abstract: Systems, methods, and devices are provided for estimating a state-of-charge in an energy storage system. The systems, methods, and devices may measure a current and a voltage related to the energy storage system, generate a model-based state-of-charge estimate based thereon, generate an aggregated state-of-charge estimate based on the model-based state-of-charge estimate, generate an adaptation current based on the measured current, aggregated state-of-charge estimate, and the adaptive state-of-charge estimate, and update the adaptive state-of-charge estimate based on the measured current and the adaptation current. The systems, methods, and devices may also provide a tracking indication whether the adaptive state-of-charge estimate is tracking between upper and lower confidence limits.

Abstract: Systems, methods, and devices are provided for estimating a state-of-charge in an energy storage system. The systems, methods, and devices may measure a current and a voltage related to the energy storage system, generate a model-based state-of-charge estimate based thereon, generate an aggregated state-of-charge estimate based on the model-based state-of-charge estimate, generate an adaptation current based on the measured current, aggregated state-of-charge estimate, and the adaptive state-of-charge estimate, and update the adaptive state-of-charge estimate based on the measured current and the adaptation current. The systems, methods, and devices may also provide a tracking indication whether the adaptive state-of-charge estimate is tracking between upper and lower confidence limits.

Abstract: A method and system for handling digital certificate status checks are provided. Digital certificate status request data transmitted from a client system is received at a proxy system. The proxy system generates query data for the digital certificate status in response to receiving the digital certificate status request data. The query data is transmitted to a status provider system, and status data from the status provider system in response to the query data is received at the proxy system. Digital certificate status data based on the status data received is generated by the proxy system and transmitted to the client system.

Abstract: A method and system for supporting multiple digital certificate status information providers are disclosed. An initial service request is prepared at a proxy system client module and sent to a proxy system service module operating at a proxy system. The proxy system prepares multiple service requests and sends the service requests to respective multiple digital certificate status information providers. One of the responses to the service requests received from the status information providers is selected, and a response to the initial service request is prepared and returned to the proxy system client module based on the selected response.

Abstract: A method and system for performing garbage collection involving sensitive information on a mobile device. Secure information is received at a mobile device over a wireless network. The sensitive information is extracted from the secure information. A software program operating on the mobile device uses an object to access the sensitive information. Secure garbage collection is performed upon the object after the object becomes unreachable.