733results about "Batteries data exchange" patented technology

A ring can include a housing. The housing can include a first power source configured to be charged by a second power source removably positioned adjacent to the housing. The housing also can include a component. The component can be configured to draw energy from the first power source. The component also can sense a physical phenomenon external to the housing. The component further can send communication signals to a communication device. Other embodiments are disclosed.

A smart ring charging system comprises a charging source integrated into an object, the object configured to be held by a user wearing a smart ring. The smart ring may include a ring-shaped housing and a power source disposed within or at the ring-shaped housing and configured to receive energy from the charging source while the user is wearing the smart ring and holding the object. A controller may be disposed within or at the ring-shaped housing, or at the object with the charger and configured to estimate a charging rate at which the power source receives the energy from the charging source. The system may further include one or more indicators configured to indicate the charging rate.

Disclosed here are various embodiments to evaluate a device and present a price quote to the user by detecting a presence of a device in proximity to a wireless charger. The system can utilize a wireless charger to obtain information about the device while charging the device. The information can include the make of the device. The system can guide the user to navigate the device to provide additional information such as model, memory capacity, unique identifier, and carrier associated with the device. Based on the unique identifier, the system can determine whether device has been stolen. If the device has not been stolen, the system can determine a price based on information obtained from the device and can facilitate presenting the price to the user. If the user accepts the price, the system can facilitate purchase of the device.

The present disclosure describes a connector box, comprising a vehicle inlet port configured to receive a vehicle connector configured to connect to a direct current (DC) or alternating current (AC) vehicle charging station; a locking mechanism configured to secure the vehicle connector within the vehicle inlet port, wherein the locking mechanism is configured to be activated upon insertion of the vehicle connector into the vehicle inlet port and remain activated until deactivation by an authorized user; and an outlet port configured to supply electrical power received via the vehicle inlet port and to an apparatus, the apparatus configured to supply the electrical power from the outlet port to a vehicle connected to the apparatus in a vehicle charging session.

A sensor system for monitoring patients is provided. The sensor system includes a wireless charging dock, one or more patient sensors, and a processing module. The patient sensor is configured to collect patient physiological data and send the data to the processing module. The processing module wirelessly transmits the patient physiological data to a patient monitor system. The wireless charging dock is wirelessly and removably coupled to the processing module to wirelessly provide power for the processing module. The wireless charging dock is magnetically coupled to the processing module.

The present disclosure describes an apparatus comprising a first set of inlet ports to connect with a vehicle charging station, the first set of inlet ports configured to receive first power from a vehicle charging station; a second set of inlet ports to connect with an external power source, the second set of inlet ports configured to receive second power from the external power source; a first set of outlet ports to supply the first power from the vehicle charging station to a first vehicle in a first configuration and the second power from the external power source to the first vehicle in a second configuration; and a second set of outlet ports to direct the first power from the vehicle charging station to a second apparatus in the second configuration, wherein the second apparatus is configured to supply the first power to a second vehicle.

In an example, a method includes receiving, in a super frame, a first downlink on a first channel from a wireless master node at a wireless head node in a WBMS, where the wireless head node is a head node for a sub-cluster of one or more wireless devices. The method includes transmitting, in the super frame, a second downlink on a second channel from the wireless head node to each of the one or more wireless devices. The method includes receiving, in the super frame, an uplink from each of the one or more wireless devices at the wireless head node on the second channel. The method includes transmitting, in the super frame, an aggregated uplink from the wireless head node to the wireless master node on the first channel, where the aggregated uplink includes data from each of the one or more wireless devices.

The present disclosure describes a vehicle charging system comprising a vehicle charging gun comprising at least two pins, a protective earth (PE) pin configured to connect to ground and a proximity pilot (PP) pin configured to detect when the vehicle charging gun has been inserted into a vehicle; and an apparatus to couple with the vehicle charging gun, the apparatus comprising: a switch operable between a first position and a second position, the switch being controlled by a controller, wherein, when the switch is in the first position, the switch enables the vehicle or a vehicle charging station to detect that the vehicle charging gun is inserted into a vehicle inlet port of the vehicle, and when the switch is in the second position, the apparatus generates an electrical effect that simulates the removal of the vehicle charging gun from the vehicle inlet port.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

A charging system can include a housing. The housing can include an inner surface. The housing also can include an internal power source. The housing further can include a component configured to draw energy from the internal power source. The charging system also can include a removable charging source. The removable charging source can be removably coupled to the housing. The removable charging source can include first and second registration structures at different locations of a perimeter of a portion of the removable charging source. The first and second registration structures can align the inner surface of the housing with the removable charging source. Other embodiments are disclosed.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A system for providing information related to a charge status of an electric vehicle when the electric vehicle is connected to a charging station includes a system controller in communication with an electrical system within the electric vehicle and adapted to monitor information related to a charge status of the electric vehicle, and provide notification, to a third-party, of the charge status of the electric vehicle.

A wearable neurostimulation device is provided for providing transcutaneous peripheral nerve stimulation to a user. The neurostimulation device may include an enclosure housing the electronics for generating electric neurostimulation signals and an adjustable band detachably coupled to the enclosure. The enclosure may include a stimulation button and one or more auxiliary buttons. The band may be configured to be worn by a user, such as around the user's wrist or arm. The band may include a locking tab which prevents the loop from being opened. The band may comprise electrodes positioned to stimulate the user's radial and median nerves. Also provided is a charger for holding and charging the neurostimulation device. The band may include an RFID tag that wireless communicates with an RFID antenna in the charger. The charger may not charge the neurostimulation device if the band is determined to be beyond a threshold age.

The present application relates to a battery system and a parallelization method and apparatus thereof. The parallelization method of the battery system includes: acquiring voltages of the battery packs respectively; setting a charging priority of each of the battery packs according to a preset rule and the voltages of the battery packs; and controlling the switching circuit corresponding to the battery pack in the highest charging priority to be turned on to connect a charging loop of the battery pack for charging, and if the voltage of the battery pack currently charged is increased to a value close to the voltage of the battery pack in a next charging priority, controlling the switching circuit corresponding to the battery pack in the next charging priority to be turned on.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A wireless power system may include wireless power transmitting devices, wireless power receiving devices, and wireless power transmitting and receiving devices. The devices in the wireless power system may exchange packets in order to transfer various types of data. The data may be transmitted using in-band communication (e.g., amplitude-shift keying modulation or frequency-shift keying modulation). The devices may use locally assigned addresses to communicate with any other device in the wireless power system. Even if a first device is not inductively coupled to a second device, the locally assigned addresses may identify an inductive coupling path from the first device to the second device that includes at least one intervening device. The first device may therefore communicate with the second device using in-band communication packets that are relayed by at least one intervening device.

In an approach to a state of health for grid applications, a system includes one or more battery energy storage systems having a plurality of batteries; energy sources; power distribution systems; and computing devices. The computing devices are configured to: for each of the battery energy storage systems: receive battery parameters for each of the batteries from the battery energy storage systems; determine a lithium plating state, a solid electrolyte interface (SEI) thickness, and a dendrite length for each of the plurality of batteries; determine a battery state of health (SOH) for each of the batteries based on at least one of the lithium plating state, the SEI thickness, and the dendrite length; determine a battery charge profile to mitigate aging for each of batteries based on the SOH; and send updated battery parameters and control thresholds for each of batteries to each of the battery energy storage systems.

A method for predicting risk exposure includes receiving a particular set of data acquired via a sensor. The method for predicting risk exposure further can include analyzing, via a machine learning (ML) model, the particular set of data. The analyzing can include determining that the particular set of data represents a particular light exposure pattern corresponding to a light exposure pattern correlated with a risk pattern. The ML model can be trained with a first set of data and a second set of data to identify a correlation between the light exposure pattern and the risk pattern. The method for predicting risk exposure also can include predicting a risk exposure for a user based on the particular set of data. The method for predicting risk exposure also can include providing a notice indicating the risk exposure.

Systems and methods are provided for coordinating and controlling power flow during bidirectional energy transfer events between an electrified vehicle and one or more charging trailers. The systems and methods may prioritize energy transfers between each connected energy based on a charge priority selection that may be manually input by a user of the system. Charge energy may be transferred to the appropriate energy unit using such a manual approach to meet customer needs with varying levels of priority according to an energy transfer prioritization control strategy that is derived from various inputs that are considered.

Data are optically transmitted from a power tool device, such as a power tool, a power tool battery charger, power tool pack adapter, and / or a battery pack. The data are stored in a memory of the power tool device and are encoded as optical signal data to provide an encoded representation of the stored data. An optical transmitter (e.g., a light emitting diode or a flat panel display) transmits the optical signal data, which are detected or otherwise received by an optical receiver device, which may include a camera or other photodetector. The optical signal data may include light signals generated by an LED, where the data are encoded using an encoding scheme that modulates one or more characteristics (e.g., amplitude, wavelength, color) of the generated light signals. The optical signal data may also include images (e.g., barcodes, QR codes) or characters.

A vehicle is electrically connected to one or more removable accessories. The vehicle includes a user interface, an electrical power supply, a chargeable storage, and a controller. The controller may be configured to detect the one or more removable accessories that are connected to the at least one power outlet, determine an identifier associated with each of the one or more detected removable accessories, and cause the user interface to display one or more identifiers associated with the one or more detected removeable accessories.

A method is to estimate the state of batteries by using a multi-level neural network formed with at least three neural networks. The method comprises steps of: extracting features from the charging and discharging data of a battery through a first-level neural network to form a first-stage output data, and inputting the first-stage output data into a second-level neural network; enhancing local features in the first-stage output data through the second-level neural network to form a second-stage output data; combining the first-stage output data with the second-stage output data to form a combination result to be input into a third-level neural network for data modeling, to generate a state estimation result of the battery. The present invention improves the accuracy of estimation for a flat zone in the charge / discharge curve of the battery, and quickly adjusts the multi-level neural network to achieve accurate estimation of different types of batteries.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

Systems and apparatus for implementing a mobile energy system. In one aspect, a mobile energy system includes a cabinet having an interior space defined by an outer surface of the cabinet, where the interior space can include a battery storage area configured to receive a battery energy storage system having at least 2 kWh of storage capacity. The mobile energy system can also include an item storage area configured to receive and store one or more other items, a connector configured to connect a battery energy storage system located in the battery storage area to an external power source, and a charging cable configured to connect the battery energy storage system to a charging port of an electric vehicle.

The present invention relates to a battery swapping station having a mode in which a battery pack is operated at the time of power supply interruption that is capable of, when the supply of power to a battery swapping station (BSS) configured to charge a swappable battery is interrupted due to power failure or system error, enabling the BSS system to be operated without interruption.

A regulating system includes a first power converter and a control unit. Multiple battery clusters of the battery system share the first power converter, and the control unit is connected to the first power converter and each of the battery cluster in communication. The control unit disconnects the parallel connection between the target battery cluster and other battery clusters, controls the connection between the target battery cluster and the first power converter to conduct, and sends a target current command to the first power converter to regulate the target battery cluster.

A method of determining the capability of a nonlinear aircraft power source includes accessing status values representing a current state of an energy storage system in an aircraft, accessing demand values related to expected power demands on the energy storage system, modeling an ongoing status of the energy storage system using the status values and the demand values to predict when one of the status values will reach a threshold value, and providing an output of a capability of the aircraft based on the status value reaching the threshold value.

This disclosure provides methods, components, devices and systems for battery power source integration and utilization at a drilling site by adjusting power draw from various power sources based on conditions at the drilling site. Some aspects, more specifically, relate to supplying power to the drilling site using a utility power source, where the utility power source includes a utility setpoint. During this period, detection of an increase in power demand may occur at the drilling site. The increase in the power demand can include a load ramp indicating a rate which the power demand increases over a period of time. Based on the power demand and load ramp, as well as the utility setpoint, embodiments may supply additional power to the drilling site using a battery power source.