An implantable medical device (IMD), includes a processor for controlling the IMD; circuitry for providing therapeutic or diagnostic medical operations for a patient; wireless communication circuitry for conducting wireless communications; a non-rechargeable battery; and device power control circuitry. The device power control circuitry includes at least one capacitor; charging control circuitry for switching between charging the at least one capacitor using the non-rechargeable battery and discharging the at least one capacitor to provide power for device operations. The IMD is configured to maintain a count related to a number of times of discharge of the at least one capacitor to provide an end-of-life estimation for the non-rechargeable battery.

An implantable medical device (IMD), includes a processor for controlling the IMD; circuitry for providing therapeutic or diagnostic medical operations for a patient; wireless communication circuitry for conducting wireless communications; a non-rechargeable battery; and device power control circuitry. The device power control circuitry includes at least one capacitor; charging control circuitry for switching between charging the at least one capacitor using the non-rechargeable battery and discharging the at least one capacitor to provide power for device operations. The IMD is configured to maintain a count related to a number of times of discharge of the at least one capacitor to provide an end-of-life estimation for the non-rechargeable battery.

Techniques are described for monitoring the degradation of electrochemical cells. A battery monitoring system monitors, for each of one or more cells of a plurality of cells in a battery, an amount of mechanical deformation using one or more measuring devices. The battery monitoring system determines a number of cells of the plurality of one or more monitored cells for which the monitored amount of mechanical deformation exceeds a deformation threshold. The battery monitoring system determines whether the determined number of cells exceeds a threshold number of cells with an amount of mechanical deformation exceeding the deformation threshold. Responsive to determining the determined number of cells exceeds the threshold number of cells, the battery monitoring system sends a notification that the battery is degraded beyond an acceptable limit.

Techniques are described for monitoring the degradation of electrochemical cells. A battery monitoring system monitors, for each of one or more cells of a plurality of cells in a battery, an amount of mechanical deformation using one or more measuring devices. The battery monitoring system determines a number of cells of the plurality of one or more monitored cells for which the monitored amount of mechanical deformation exceeds a deformation threshold. The battery monitoring system determines whether the determined number of cells exceeds a threshold number of cells with an amount of mechanical deformation exceeding the deformation threshold. Responsive to determining the determined number of cells exceeds the threshold number of cells, the battery monitoring system sends a notification that the battery is degraded beyond an acceptable limit.

A vehicle that is configured to: acquire information relating to a remaining charge of a battery of a terminal configured to act as a digital key employed in control of a vehicle; and perform a predetermined notification in response to both of a determination being made that the remaining charge of the battery of the terminal is a predetermined threshold or lower based on the acquired information, and the vehicle being in a preset vehicle state.

A vehicle that is configured to: acquire information relating to a remaining charge of a battery of a terminal configured to act as a digital key employed in control of a vehicle; and perform a predetermined notification in response to both of a determination being made that the remaining charge of the battery of the terminal is a predetermined threshold or lower based on the acquired information, and the vehicle being in a preset vehicle state.

A battery characterization system includes a drive-sense circuit (DSC), memory that stores operational instructions, and processing module(s) operably coupled to the DSC and the memory. Based on a reference signal, the DSC generates a charge signal, which includes an AC (alternating current) component, and provides the charge signal to a terminal of a battery via a single line and simultaneously to senses the charge signal via the single line to detect an electrical characteristic of the battery based on a response of the battery. The DSC generates a digital signal representative of the electrical characteristic of the battery. The processing module(s), based on the operational instructions, generate the reference signal to include a frequency sweep of the AC component of the charge signal (e.g., different frequencies at different times or multiple frequencies simultaneously) and processes the digital signal to characterize the battery across the different respective frequencies and generate spectrum analysis (SA) information of the battery.

A battery characterization system includes a drive-sense circuit (DSC), memory that stores operational instructions, and processing module(s) operably coupled to the DSC and the memory. Based on a reference signal, the DSC generates a charge signal, which includes an AC (alternating current) component, and provides the charge signal to a terminal of a battery via a single line and simultaneously to senses the charge signal via the single line to detect an electrical characteristic of the battery based on a response of the battery. The DSC generates a digital signal representative of the electrical characteristic of the battery. The processing module(s), based on the operational instructions, generate the reference signal to include a frequency sweep of the AC component of the charge signal (e.g., different frequencies at different times or multiple frequencies simultaneously) and processes the digital signal to characterize the battery across the different respective frequencies and generate spectrum analysis (SA) information of the battery.

Predicting battery life including wirelessly receiving an initial state of a battery and a tracked event associated with the battery at a cloud-based server, and updating an estimate of the battery life using the tracked event.

Predicting battery life including wirelessly receiving an initial state of a battery and a tracked event associated with the battery at a cloud-based server, and updating an estimate of the battery life using the tracked event.