A portable power bank including a rechargeable battery and/or a remote server may detect loss of capacity in the power bank battery. The power bank and/or remote server determines a nominal capacity of the power bank, and an actual capacity of the power bank, the actual capacity being less than the nominal capacity. The power bank and/or remote server compares the actual capacity to the nominal capacity to determine a health value of the power bank battery. When the power bank battery health value is at or below a threshold value, the power bank and/or remote server transmits an indication of the health value.

A method for predicting an onset of a capacity fading in a battery includes measuring, over a period of time, a plurality of parameters related to charging and discharging cycles of the battery; detecting, based on the measured plurality of parameters, the onset of the capacity fade in the battery; and providing a notification on the electronic device indicating the detected onset of the capacity fade.

A power supply unit for an aerosol inhaler includes: a power supply able to discharge power to a load for generating an aerosol from an aerosol source; a connector able to be electrically connected to an external power supply; a control device configured to control at least one of charging and discharging of the power supply or configured to be able to convert power which is input from the connector into charging power for the power supply; and a zener diode provided between the connector and the control device so as to be connected in parallel with the control device. A maximum value of zener voltage of the zener diode is lower than a maximum operation guarantee voltage of the control device.

A method of estimating a battery current limit for operation of a battery cell over the course of a specified prediction time. The method includes generating a plurality of current limit estimations by means of a plurality of current limit estimation sub-methods, wherein at least one current limit estimation sub-method generates its current limit estimation based on an RC equivalent circuit model of the battery cell, and determining the charge current limit by finding the lowest magnitude current limit estimation in the plurality of current limit estimations. At least one parameter of the RC equivalent circuit model is set based on the specified prediction time and at least one variable from the set of: a state of charge (SOC) of the battery cell, a temperature of the battery cell, a state of health (SOH) of the battery cell, a capacity of the battery cell, and a current of the battery cell.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

A system for powering 100% of an oil and gas workover rig's operations with a battery energy storage system (“BESS”). The system consists of three major interconnected components: a BESS, a power conversion system (“PCS”), and a workover rig. The power system is specifically designed for a retrofitted electro-mechanical workover rig (with either an alternating current or direct current electric drive) which is compatible with the BESS. Unlike other emerging industrial applications, a battery cannot be mounted on the workover rig due to logistical and size constraints, thus requiring a novel modular and mobile system design.

A vehicle battery diagnosis method and system are provided. A controller completes charging a battery by stopping supply of current from a charger to the battery. The controller measures a relaxation voltage corresponding to a decrement of a voltage of the battery during a predetermined time period directly after the charging of the battery is completed. The controller estimates the state of health (SoH) of the battery in accordance with the relaxation voltage.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

A deterioration estimation apparatus includes a storage processing unit and a calculation unit. The storage processing unit acquires a plurality of models from a model generation apparatus, and stores the models in a model storage unit. A plurality of models are generated by performing machine-learning on training data, the training data using, as input values, measurement data for training indicating a result of measuring a state of a storage battery when the number of charge and discharge times is α.sub.i to α.sub.j (where j≥i), and using, as a target value, SOH indicating a deterioration state of the storage battery when the number of charge and discharge times is β (where β>α.sub.j). The calculation unit uses a plurality of models stored in a model storage unit to calculate an estimation result of transition of SOH of a storage battery managed by the deterioration estimation apparatus.

Disclosed is a battery distributing apparatus for efficiently using and distributing a plurality of exchange-type batteries. The battery distributing apparatus includes a battery determining module for determining a level of each battery for a plurality of batteries; a user determining module for determining a grade of each user who uses at least one battery among the plurality of batteries; and a selecting module for selecting a battery suitable for a requester who requests to use at least one battery among the plurality of batteries, based on the grade of the user determined by the user determining module and the level of the battery determined by the battery determining module.