A method can include receiving battery sensor measurements, determining a state of the battery (e.g., SoH, SoC, SoE, SoP, etc. or information correlated therewith such as internal resistance, open circuit voltage, etc.), estimating an aging profile or degradation of the battery for one or more operating conditions, and determining operating conditions for the battery based on the estimated degradation.

Managing a battery of an information handling system, including determining a degradation factor of the battery based on one or more parameters of the battery; determining a first thermal stress time of the battery over a first time period, including: identifying a voltage of the battery over the first time period; identifying a temperature of the battery over the first time period; calculating the first thermal stress time of the battery over the first time period based on the voltage and the temperature of the battery over the first time period; comparing the first thermal stress time of the battery of the first time period to a time threshold, the time threshold based on the degradation factor of the battery; determining, based on the comparison, that the first thermal stress time of the battery is greater than the time threshold, and in response, adjusting a charge voltage of the battery.

A battery pack is provided that supplies power to a device to be connected, comprising: a power output circuit configured to output a first power when an operation status of the battery pack is normal, and to output a second power when an operation status of the battery pack is abnormal, wherein: the first power is power for operating the device, and the second power is power having a magnitude that the device does not operate.

Based on changes in a battery (e.g., age, temperature) of an electronic device, battery power prediction and correction logic of the electronic device may correct a power capability and/or regulate power associated with the battery. For example, the battery power prediction and correction logic may operate the battery to supply up to a maximum of a power capability with an applied correction factor based on a voltage measurement and a cutoff voltage associated with the battery.

According to one embodiment, a storage battery apparatus includes: a plurality of storage battery modules each including a battery module, which includes a plurality of battery cells, and a cell monitoring unit measuring voltages of the battery cells and a temperature of the battery module; and a battery management unit periodically receiving measurement values of the voltages of the battery cells and the temperature of the battery module. When there is interference in communication with the plurality of cell monitoring units, the battery management unit extends a communication cycle with the cell monitoring units, sets a value of a chargeable current and a value of a dischargeable current of the battery module, which correspond to at least the communication cycle.

A storage battery management device includes a control unit. The control unit obtains a current value of a current flowing through a storage battery, a temperature of the storage battery, and a charging rate of the storage battery during a target period. The control unit determines an operation mode of the storage battery during the target period on the basis of the current value and the charging rate. The control unit estimates a degree of degradation of the storage battery during the target period on the basis of the operation mode and the temperature.

A battery management device includes: a detection circuit to detect state information indicating a state of a battery; and a control circuit to monitor the state of the battery based on the state information detected via the detection circuit, and control a function associated with the battery based on a result of the monitoring. The control circuit is further to open a load break switch electrically connected between the battery and a power conversion device in response to detecting that the battery is in an abnormal state during charging or discharging of the battery.

The present disclosure provides a marine starter battery management system and a method for monitoring its low-temperature charging and discharging. The system comprises a battery management unit, a heating circuit, a high-current charge/discharge drive circuit, a passive balancing circuit, a voltage spike suppression circuit, a soft-start circuit, and a processing unit. The processing unit is electrically connected to these components. Based on battery state parameters, the processing unit controls in real-time the operating states and sequences of the heating circuit, the high-current drive circuit, the passive balancing circuit, the voltage spike suppression circuit, and the soft-start circuit. This intelligent, coordinated control of the various functional modules improves the safety, reliability, and performance of the marine starter battery, particularly in demanding low-temperature environments.

A charging system is provided. The charging system includes a charging device including an electrical input for receiving electrical energy, at least one output for outputting electrical energy, and a communication interface; and a charger controller programmed to a) receive a plurality of charging parameters; b) determine a charging rate of an electronic device connected to the at least one output of the charging device; c) instruct the charging device to provide electrical energy through the output to the electronic device; d) determine a current state of charge of the electronic device; e) adjust the charging rate based on the current state of charge and the plurality of charging parameters; and f) instruct the charging device to adjust the charging rate for the electrical energy being provided to the electronic device.

Disclosed is a battery aging assessment method based on multi-source and multi-scale high-dimensional state space modeling in the field of energy storage in renewable power systems. The method includes: acquiring a time series of each discharge process within a preset number of discharge cycles of a sample battery; determining a first state transition path and a second state transition path based on discharge parameters corresponding to the time series; establishing a benchmark working-state transition path; calculating multiple sample distances between the second state transition path and the benchmark working-state transition path; training a battery aging assessment model using the sample distances as input and corresponding target state-of-health values as output; calculating a target distance between a state transition path of a to-be-predicted target battery and the benchmark working-state transition path.