A battery assembly and a control method thereof, a battery, and an electric apparatus are provided, where the battery assembly includes: M battery cells, the M battery cells being sequentially stacked along a first direction, where M is an integer greater than 1; and a volume of each battery cell is positively correlated with a remaining charge of the battery cell, so that when a charge of at least one battery cell among the M battery cells changes, a total volume change of the M battery cells is maintained within a first preset range.

The present disclosure discloses a balancing control method, apparatus, and system for a battery cluster, and belongs to the field of energy storage systems. The balancing control method for the battery cluster includes: obtaining at least one of a first actual state of charge and an actual state of health of each battery cell, and a second actual state of charge of each PACK; controlling, by a first balancing module based on the at least one of the first actual state of charge and the actual state of health, at least one of state of charge balancing and state of health balancing of each battery cell; and controlling, by a second balancing module based on the second actual state of charge, state of charge balancing of the PACK.

A charge system for wireless temperature probe includes a probe body and a charging relay box detachably connected with the probe body, the probe body is provided with a first wireless charging component and a sealing structure. The charging relay box is internally provided with a power supply module, a control module and a second wireless charging component configured to establish a near field communication path with the first wireless charging component, and the control module is used to control the power supply module to adaptively supply power to the probe body through the near field communication path.

A charge system for wireless temperature probe includes a probe body and a charging relay box detachably connected with the probe body, the probe body is provided with a first wireless charging component and a sealing structure. The charging relay box is internally provided with a power supply module, a control module and a second wireless charging component configured to establish a near field communication path with the first wireless charging component, and the control module is used to control the power supply module to adaptively supply power to the probe body through the near field communication path, the probe body comprises a handle, a sealing ring, a probe tube and an internal assembly, a head of the internal assembly is inserted in the probe tube, and a tail of the internal assembly is inserted in the handle.

Systems and methods are disclosed herein for determining the remaining useful life of a battery cell that includes the battery cell's internal resistance and/or shock loading. In one example implementation, the systems and methods disclosed herein monitor acceleration information over time based on information received from an accelerometer integrated in a battery cell and electrical information for at least one electrical parameter of the battery cell over time. The information is stored for determining remaining useful life. In another example implementation, the systems and methods disclosed herein determine a voltage drop across the battery cell and a current output of the battery cell. The systems and methods determine an internal cell resistance of the battery cell based on charge or discharge voltage and current information.

An external battery, includes a battery cell, a charging unit configured to generate a charging current with an external power supplied from a charger to an input terminal thereof and to transfer the charging current to the battery, a detector configured to sense a voltage state of the input terminal and determine a current value of the charging current supplied to the battery cell, based on the voltage state, and a main controller unit (MCU) configured to control charging of the battery cell by the charging current, calculate an estimated full charging time for fully charging the battery cell, based on a current value of the charging current, and calculate a charging time while the charging current is flowing.

Techniques are provided for dividing control of energy flow at multiple Electric Vehicle (EV) stations using the combination of a centralized controller and a plurality of decentralized controllers. The centralized controller is configured to execute algorithms to generate centralized predictions, related to energy usage at stations, for a first period of time, and to generate one or more centralized baseline signals based on the centralized predictions. Each decentralized controller is configured to receive the centralized baseline signal(s), monitor interactions at a subset of stations during the first period of time, and update the centralized baseline signal(s) in real-time based on the interactions to produce locally-updated baseline signal(s). The locally-updated baseline signal(s) are communicated to the subset of stations, and energy flow is controlled at the subset of stations based on the locally-updated baseline signal(s).

An electrical line selection system comprising a circuit module configured to connect energy sources with multiple line outputs. The circuit module has a number of inputs configured to connect to energy sources, including rechargeable battery systems, and a number of outputs configured to connect with other electrical systems such as other battery systems, loads, charging sources, and various AC or DC power supplies. A switching circuit is contained by the circuit module and a controller manages the switching circuit based on desired connections and strategies for managing power supplies and current sinks.

A microgrid controller of a microgrid configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid monitor one or more microgrid parameters, according to a soft diagnostic condition, based on at least one of the energy resource information or the load information, detect a soft trigger event based on the one or more microgrid parameters satisfying the soft diagnostic condition, in response to the soft diagnostic condition being satisfied, monitor the one or more microgrid parameters, according to a hard diagnostic condition, based on at least one of the energy resource information or the load information, detect a hard trigger event based on the one or more microgrid parameters satisfying the hard diagnostic condition, and in response to the hard diagnostic condition being satisfied, generate a hard alarm.

An intelligent rechargeable battery pack having a battery management system for monitoring and controlling the charging and discharging of the battery pack is described. The battery management system includes a memory for storing data related to the operation of the battery, and the battery management system is also configured to communicate the data related to the operation of the battery to other processors for analysis.