A method and apparatus for monitoring an internet-of-things (IoT) battery device (IBD). An example IBD includes a radio transceiver to communicate with an IoT charging device (ICD), a battery, and a battery monitor to determine a state of charge for the battery. An alerter is included to send an alert message to the ICD, via the radio transceiver, to indicate that the SoCh is less than an alert threshold.

A smart battery includes a battery and a measurement module coupled to measure electrical characteristics of the battery. The smart battery also includes processing logic and a communication interface configured to receive the electrical characteristics and transmit the electrical characteristics to a receiver.

A low voltage system of a vehicle having a battery, one of a generator and an accessory power module (APM), one or more low voltage load, and a smart energy center. The smart energy center having a first electronic fuse configured to selectively connect the smart energy center to the battery, a second electronic fuse configured to selectively connect the smart energy center to the one of the generator and the APM, and a third electronic fuse configured to selectively connect the smart energy center to the one or more low voltage load. The smart energy center further comprising a plurality of sensors and a controller configured to selectively activate and deactivate the first electronic fuse, the second electronic fuse, and the third electronic fuse based at least in part on data received from the plurality of sensors.

An electricity storage apparatus includes electricity storage devices, low-order controllers, a high-order controller, communication lines, and signal lines. The low-order controllers and the high-order controller are cyclically connected in a preset order of connection via the signal lines. The high-order controller outputs a pulse signal with a preset pulse width to the low-order control set to a smallest connection order of the order of connection via a corresponding one of the signal lines. The low-order controller outputs a pulse signal with a preset pulse width different from that of the pulse signal that has been input thereto to a downstream side in the order of connection via a corresponding one of the signal line.

An approach to control or monitoring of battery operation makes use of a recurrent neural network (RNN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) estimate for the Li-ion battery.

A battery diagnosis method includes: obtaining diagnosis target information including a target full-cell profile of a battery cell associated with a first electric stimulation; correcting the target full-cell profile to be associated with a second electric stimulation that is different from the first electric stimulation, based on a predetermined overpotential profile; applying a diagnosis logic to a corrected target full-cell profile to determine first diagnosis result information, which is a preliminary diagnosis result for a charge/discharge performance of the battery cell; and determining second diagnosis result information, which is a precise diagnosis result for the charge/discharge performance of the battery cell, based on at least one preliminary diagnosis factor included in the first diagnosis result information, using a factor correction model.

A battery diagnosis method includes: obtaining diagnosis target information including a target full-cell profile of a battery cell associated with a first electric stimulation; correcting the target full-cell profile to be associated with a second electric stimulation that is different from the first electric stimulation, based on a predetermined overpotential profile; applying a diagnosis logic to a corrected target full-cell profile to determine first diagnosis result information, which is a preliminary diagnosis result for a charge/discharge performance of the battery cell; and determining second diagnosis result information, which is a precise diagnosis result for the charge/discharge performance of the battery cell, based on at least one preliminary diagnosis factor included in the first diagnosis result information, using a factor correction model.

A secondary battery diagnosing apparatus includes a thickness sensor configured to sense a change in thickness of a secondary battery according to a volume change of a negative electrode active material while the secondary battery comprising a negative electrode active material containing silicon or silicon oxide is being charged or discharged; and a processor configured to estimate a capacity ratio, which is a ratio of a capacity provided by the silicon or the silicon oxide to a capacity of the secondary battery provided by the negative electrode active material, using a sensing result of the thickness sensor, and diagnose the state of the secondary battery based on the capacity ratio.

A secondary battery diagnosing apparatus includes a thickness sensor configured to sense a change in thickness of a secondary battery according to a volume change of a negative electrode active material while the secondary battery comprising a negative electrode active material containing silicon or silicon oxide is being charged or discharged; and a processor configured to estimate a capacity ratio, which is a ratio of a capacity provided by the silicon or the silicon oxide to a capacity of the secondary battery provided by the negative electrode active material, using a sensing result of the thickness sensor, and diagnose the state of the secondary battery based on the capacity ratio.

A battery control device which obtains a state of charge of a secondary battery from characteristics representing a relationship of a state of charge and a voltage of the secondary battery comprises a calling unit which calls a first characteristic among a plurality of the characteristics stored in advance based on use history information of the secondary battery, a correction limit width designation unit which designates a correction limit width for prescribing a tolerance level of correcting the first characteristic, and a direct detection correction unit which creates a second characteristic in which the first characteristic has been corrected according to the correction limit width based on a current value and a voltage value of the secondary battery, wherein the state of charge of the secondary battery is obtained using the second characteristic.