Devices, systems, methods, computer-implemented methods, and/or computer program products to facilitate an intelligent battery cell with integrated monitoring and switches are provided. According to an embodiment, a device can comprise active battery cell material. The device can further comprise an internal circuit coupled to the active battery cell material and comprising: one or more switches coupled to battery cell poles of the device; and a processor that operates the one or more switches to provide a defined value of electric potential at the battery cell poles.

A battery cellar includes: battery groups each including a plurality of batteries; a power converter (AC/DC converter and DC/DC converter) electrically connected between the plurality of batteries and an electric power system; and a server that controls operation of the power converter in accordance with a DR request from the electric power system, to cause charging and discharging of the plurality of batteries. The battery groups include a low operating group and a high operating group that is less than or equal to the low operating group in terms of the number of types of ranks of batteries included in each battery group, where the ranks each represent a degree of battery degradation. The server suppresses charging and discharging of the plurality of batteries included in the low operating group, relative to charging and discharging of the plurality of batteries included in the high operating group.

Charging scheduling systems and methods for charging devices applied to at least one charging device and a cloud management module are provided for charging an electric vehicle. First, a power status of a battery module of the electric vehicle is detected through a battery detection unit of the charging device, and electricity rate data corresponding to the charging device including the electricity price of corresponding power company at different times is then obtained by cloud management module. Next, through cloud management module, at least one charging period with a lower electricity price is determined based on electricity rate data corresponding to charging device and power status to control the charging of the electric vehicle by the charging device to be performed during the determined charging period.

The embodiments herein provide an energy storage battery system constituting multiple banks of individual batteries, each of which may have different characteristics, and methods of operation of the system. The multiple battery banks configuration is based on split battery configuration derived by a splitter based on a probability distribution function (pdf) of expected usage pattern, optimization goal, and battery characteristics of a corresponding single battery system. The energy system optimizes at least one of cost, weight or size of the overall system by rotating usage of various battery banks based on usage pattern.

A charging method may include: determining a time interval for charging a battery according to historical charging data; charging the battery via a first charging policy within the time interval, the first charging policy including a first preset charging parameter; acquiring a present charging parameter when the battery is charged according to the first charging policy; and when the present charging parameter reaches the first preset charging parameter, maintaining a present electric quantity of the battery; determining a starting time when the battery is charged according to a second charging policy according to a state of a terminal device and a cut-off time of the time interval; and in response to determining that a time duration while maintaining the present electric quantity reaches the starting time, charging the battery via the second charging policy, and charging the battery full from the present electric quantity before the cut-off time.

System and method for charging a battery pack. One system includes a battery pack with at least one battery cell, a memory, and a charging circuit configured to control a charging current from a charger to the battery pack. The battery pack also includes an electronic processor configured to control the charging circuit and to determine a type of charger to which the battery pack is connected. The electronic processor is further configured to determine, based on the type of charger, a disconnect time and to control the charging circuit to allow the charging current to charge the battery pack. The electronic processor is further configured to control the charging circuit to electrically disconnect the battery pack from the charger after the disconnect time elapses and to control the charging circuit to electrically reconnect the battery pack and the charger after disconnecting the battery pack from the charger.

A system and a method for managing a charging station allow charging a battery of a connected autonomous electric vehicle for carrying passengers in a controlled environment. A controller connected to the charging station determines and modulates a charging rate with which the charging station charges the battery based on a duration between a start of charging the vehicle and a forecasted time of start of duty mode of the vehicle. The duration is determined by the controller based on a forecasted passenger load as a function of time.

A charger is permitted to perform external charging of a power storage device in a connector locked state in which a charging connector is locked to a charge inlet by a connector lock device. An ECU releases the connector locked state in conjunction a door unlock operation of releasing a door locked state placed by a door lock mechanism. When the external charging of the power storage device by the charger is cancelled by the connector locked state being released, a different charging stop history, depending on presence or absence of a predetermined user operation after the external charging is cancelled, is stored into a storage device.

An electronic device includes a wireless charging coil, a wireless charging circuit, a power management module, a battery, and a processor. The processor is configured to control to receive first information from an external electronic device while transmitting wireless charging power to the external electronic device through the wireless charging circuit, to control, in response to receiving the first information, the wireless charging circuit to stop transmission of the wireless charging power and operate in a state of transmitting and receiving a ping signal, to check whether a predetermined time has elapsed since the transmission of the wireless charging power is stopped, and to control, in response to elapse of the predetermined time, the wireless charging circuit to retransmit the wireless charging power to the external electronic device. Other embodiments are possible.

An apparatus and method of predicting failure of an electric car charger that takes an environment around an electric car charger as input using an artificial intelligence technology are proposed. A method of operating an electronic apparatus that predicts failure of an electric car charger may include: acquiring sensor data measured by a sensor; acquiring area information showing an area of the first electric car charger; acquiring weather information at a point in time when the sensor data at the area was measured; creating a failure prediction model based on an artificial neural network; creating learning data; training the failure prediction model on the basis of the learning data; creating input data; acquiring a result about the operation state of the first electric car charger; and predicting possibility of failure of the first electric car charger on the basis of the result.