H02J7/44

Microinverter-integrated battery paralleling devices

An AC battery system is provided herein and comprises a plurality of microinverters, a first battery pack comprising a first plurality of battery cells and a second battery pack comprising a second plurality of battery cells. Each of the first plurality of battery cells and the second plurality of battery cells are connected to the plurality of microinverters via a first bus and a second bus comprising a respective first semiconductor switch and a second semiconductor switch, and a controller operatively connected to the plurality of microinverters and the first plurality of battery cells and the second plurality of battery cells and configured to control the plurality of microinverters to at least one of open or close the first semiconductor switch and the second semiconductor switch based on a voltage and an impedance of a first cell of the first plurality of battery cells and a first cell of the second plurality of battery cells.

SYSTEM AND METHOD TO PROVIDE PORTABLE AND CONTINUOUS POWER SUPPLY WITH RE-CHARGING FEATURE
20260039141 · 2026-02-05 ·

Disclosed are systems and methods to provide continuous power to electrical devices using a portable power supply unit and a portable power charging unit. The portable power supply unit may include a first battery providing a first DC output, at least one first inverter for converting said first DC output to a first AC output for powering the electrical devices and for converting a first AC input to a first DC input for charging said first battery The portable power charging unit may include a second battery for providing a second DC output, a second inverter for converting said second DC output to a second AC output; and transmitting the second AC output to the first battery using charging ports on respective units such that said second AC output replaces said first AC output for powering said electrical devices, and replaces said first AC input for charging said first battery.

Power systems and methods of using the same to deliver power

Power systems and methods of using the same to deliver power. A power system referenced herein can include a housing capable of attaching to a workstation, one or more cradles or mounting fixtures to receive at least one energy storage device, electronic circuitry to communicate status of the at least one energy storage device, state of charge of the at least one energy storage device, and/or overall health of the at least one energy storage device, and one or more electrical connectors to allow the at least one energy storage device to charge and/or discharge and communicate with the electronic circuitry, with said housing having an internal power supply and charge circuitry, said power supply capable of receiving input power from an external AC or DC power source; wherein the power system is configured to deliver power to the workstation.

Communication method between electric vehicle, supply equipment and power grid operation server and power transmission device embedded in electric vehicle
12570177 · 2026-03-10 · ·

Disclosed is a method of communicating between an electric vehicle, a supply equipment, and a power grid, which is performed by an electric vehicle communication controller of the electric vehicle, the method including an operation of transmitting a discharge schedule including the amount of energy discharge, a discharge start time, and a discharge finish time to a supply equipment communication controller of the supply equipment or a power grid communication controller of a power grid operation server, receiving a discharge cost calculated according to the discharge schedule from the supply equipment communication controller or the power grid communication controller, and transmitting an authorization message for the discharge cost to the supply equipment communication controller or the power grid communication controller.

Rule based smart charging

Smart battery charging solutions are disclosed. The smart charging solutions of the disclosure enable a user to configure a mobile device with individualized battery charging settings. The user specific settings may be combined with system settings to generate rules on battery charging. Context awareness is achieved through various sensors and through information sharing within and among the systems of the mobile device. The battery charging rules and the context awareness information are used together in controlling the charging of a battery.

PRE-CHARGING SYSTEM FOR A VEHICLE
20260077652 · 2026-03-19 ·

A system for a vehicle, the system comprising: a low voltage input connectable to a low voltage system onboard the vehicle, wherein said low voltage is 24 V or 12 V; a capacitor of a batteryless 48 V system, the batteryless 48 V system comprising a 48 V electric machine arranged to generate power to an electrical exhaust heater onboard the vehicle; and an electrical circuit arranged between the low voltage input and the capacitor to pre-charge the batteryless 48 V system from the low voltage system.

INTELLIGENT POWER CHARGING DEVICE WITH A DIRECT CHARGING MODE
20260081456 · 2026-03-19 ·

A power charging device with a direct charging mode includes a power conversion module, having a primary-side circuit electrically connected to a primary side of a transformer and an output rectifier circuit electrically connected to a secondary side of the transformer, configured to convert an AC input voltage to a DC output voltage, and a power control module electrically connected to the power conversion module, configured to provide a direct charging mode or a regular USB type-C output power supply mode. The direct charging mode is activated to perform programmable charging when a direct charging agreement is confirmed between the AC to DC power charging device and battery pack, otherwise the regular USB type-C output power supply mode is activated.

Mitigating Power Fluctuations Using Battery Energy Storage Systems
20260079555 · 2026-03-19 ·

Generally disclosed herein is a mechanism to mitigate power fluctuations of a data center by dynamically charging and discharging a battery energy storage system (BESS). According to some examples, a BESS control system can be configured to monitor power demand fluctuations and initiate charging of the BESS during periods of low power demand. One example of a period of low power demand includes active idle, wherein the workloads of the server machines frequently decrease by a small magnitude. Another example of a period of low power demand includes deep idle, wherein the workloads of the server machines decrease by a larger magnitude than the active idle for a longer duration. The system may discharge the power from the BESS during the peak power demand. The BESS control system may stabilize the data center power system through fast-acting voltage and frequency control at a system level.

BATTERY PACK, ELECTRONIC COMBINATION, BATTERY MANAGEMENT SYSTEM, POWER TOOL SYSTEM, AND CONTROL METHOD FOR A POWER TOOL

A battery pack includes: a sensor that generates sensor data indicating an operating parameter of the battery pack; and an electronic controller including a machine learning program. The electronic controller is configured to: receive the sensor data; process the sensor data using the machine learning program, where the machine learning program includes a trained neural network model; and use the machine learning program to generate an output based on the sensor data, where the output indicates at least one of a state of charge (SOC), a state of temperature (SOT), a state of health (SOH), and a state of power (SOP) of a cell. The effective utilization of a battery is improved.

BATTERY PACK, ELECTRONIC COMBINATION, BATTERY MANAGEMENT SYSTEM, POWER TOOL SYSTEM, AND CONTROL METHOD FOR A POWER TOOL

A battery pack includes: a sensor that generates sensor data indicating an operating parameter of the battery pack; and an electronic controller including a machine learning program. The electronic controller is configured to: receive the sensor data; process the sensor data using the machine learning program, where the machine learning program includes a trained neural network model; and use the machine learning program to generate an output based on the sensor data, where the output indicates at least one of a state of charge (SOC), a state of temperature (SOT), a state of health (SOH), and a state of power (SOP) of a cell. The effective utilization of a battery is improved.