Abstract: A battery heating apparatus includes a voltage transformation module and a control module. The voltage transformation module includes a first voltage transformation circuit configured to connect a charging apparatus, a first switch module connected to the first voltage transformation circuit, a second voltage transformation circuit configured to connect a power battery, and an energy storage element and a second switch module connected to the second voltage transformation circuit. The control module is configured to, in a first heating mode, control the first switch module to turn off the first voltage transformation circuit, and control the second switch module so that the second voltage transformation circuit and the energy storage element form a loop for discharging from the power battery to the energy storage element and a loop for charging the power battery by the energy storage element, for heating the power battery during discharging and charging.

Abstract: Example implementations include a method, apparatus, and computer-readable medium configured for generating a network configuration using a large language model (LLM). The apparatus receives, at an interface between a user and LLM, a natural language intent for a network configuration. The apparatus requests the large language model to update the network configuration to an updated network configuration that satisfies the natural language intent in a declarative network configuration language. The apparatus verifies whether the updated network configuration satisfies a configuration syntax of the declarative network configuration language to detect an error. The apparatus requests the large language model to update the updated network configuration to correct the error. The apparatus deploys the updated network configuration to a user network.

Abstract: Systems, methods, and other embodiments described herein relate to adaptively selecting a controller for generating vehicle controls. In one embodiment, a method includes, in response to acquiring sensor data about a surrounding environment of the vehicle, determining a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling. The method includes selecting a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller. The method includes controlling the vehicle using the controller.

Abstract: The present application relates to a method and apparatus of power distribution control for power module and a power module device. The method includes: obtaining temperature data of target devices in two or more power modules; analyzing whether the power modules are operating at full power when the temperature data of the target devices meets a preset temperature fault condition; and adjusting operating parameters of the power modules based on the temperature data when the power modules are not operating at full power.

Abstract: A compound prism module is provided, including: a first prism, a second prism, and an interface filling medium. The first prism has a first light-incident surface, a first reflecting surface, and a first light-emitting surface, where the first light-incident surface and the first light-emitting surface are connected to a first side edge, and the first light-incident surface and the first reflecting surface are connected to a first chamfered plane. The second prism has a second light-incident surface, a second reflecting surface, and a second light-emitting surface, wherein the second light-incident surface and the second light-emitting surface are connected to a second side edge, and the second light-incident surface and the second reflecting surface are connected to a second chamfered plane. The first light-incident surface and the second light-incident surface are connected to each other, and the first side edge and the second side edge are parallel to each other.

Abstract: Embodiments of the present application provide a vehicle control method, module, and system, a device and a medium. The method includes: acquiring, under a condition that it is determined to install a target battery provided by a battery swapping station for the vehicle, a network address of a first battery management unit of the target battery; requesting to establish a wireless communication connection between a control module and the first battery management unit, based on the network address of the first battery management unit of the target battery; transmitting, under a condition that the wireless communication connection between the control module and the first battery management unit is successfully established, a first prompt signal to a target object, where the first prompt signal is used to prompt the target object to perform a relevant operation for allowing the vehicle to leave a battery swapping area.

Abstract: The application provides a method, a charging-discharging device, a cloud server, a system and a medium for charging-discharging interaction, which belong to the fields of electric power technologies. The method for charging-discharging interaction includes: the charging-discharging device transmits a vehicle-to-grid V2G function confirmation message to a battery management system of a target vehicle; when no V2G function feedback message fed back by the battery management system is received within a preset period of time after transmitting the V2G function confirmation message, the charging-discharging device transmits a first indication message to a cloud server to indicate that the target vehicle is V2G-disabled; in response to a non-V2G charging instruction received from the cloud server, the charging-discharging device performs a non-V2G charging for the target vehicle. The availability of the charging-discharging device can be improved according to embodiments of the present application.

Abstract: Embodiments of the present application provide a server of a battery swapping station, a charging method and system for a battery, a device and a medium. The method is applied to a server of a battery swapping station, and the method includes: acquiring version information of a first software version after a vehicle mounted with a power battery arrives at the battery swapping station, wherein the first software version is a software version of a first battery management unit of the power battery; controlling, under a condition that the version information of the first software version is lower than version information of a second software version stored in the server, a second battery management unit of the battery swapping station to update the first software version of the first battery management unit to the second software version.

Abstract: A battery formation apparatus includes a DC-DC conversion module, an additional power supply, and a control circuit. Low-voltage and high-voltage terminals of the DC-DC conversion module are electrically connected to the control circuit and a DC bus, respectively. The DC-DC conversion module is configured to, when a battery unit discharges into the battery formation apparatus, convert a first voltage input into a second voltage greater than the first voltage, and output the second voltage. The additional power supply is electrically connected to the control circuit, and configured to output an additional voltage. The control circuit is electrically connected to the battery unit, the low-voltage terminal of the DC-DC conversion module, and the additional power supply. The control circuit is configured to serially connect the low-voltage terminal of the DC-DC conversion module, the battery unit, and the additional power supply when the battery unit discharges into the battery formation apparatus.

Abstract: Example solutions for multi-stage 8-bit floating point (FP8) matrix multiplication with format conversion, that benefit computation efficiency of matrix multiplication operations by a processor, include: copying data values in FP8 format from global memory to shared memory; loading thread block tiles of FP8 data values from the shared memory into a set of registers; converting each of the multiple FP8 data values in the set of registers to 16-bit floating point (FP16) data values; submitting the FP16 data values to the tensor core; and performing, with the tensor core, matrix multiply accumulate computations.

Abstract: An energy storage apparatus includes a control circuit, multiple battery clusters connected in parallel, and switch circuits corresponding to the battery clusters. The switch circuit includes a first switch and a protection circuit connected in parallel. The control circuit is connected to each first switch and each protection circuit. Each battery cluster is connected to the corresponding first switch and protection circuit. The control circuit is configured to control, according to a high voltage on signal, the protection circuit to be closed and the first switch to be opened.

Abstract: A control method may include: controlling a first switch, a second switch, a third switch, a fourth switch, a fifth switch, a first leg, and a second leg set to turn on or off, to form in a first period a circuit loop for a charge/discharge module to discharge to a motor and to form in a second period a circuit loop for the charge/discharge module and the motor to charge a first electric vehicle battery group and a second electric vehicle battery group or form in the second period a circuit loop for the motor to charge the first electric vehicle battery group and the second electric vehicle battery group.

Abstract: Systems and methods are provided for training a data model based on training data. The training includes pre-training and fine-tuning the data model based on a combination of an autoregressive (AR) model and a non-autoregressive (NAR) model. Training data may be received and encoded into streams of tokens. A pre-trainer during decoding generates a continuum of data structures of the AR and NAR combined model including a main stream and a series of predicting streams. Masked tokens in predicting streams reference or attend to one or more preceding tokens in the main stream or the preceding predicting streams. A fine-tuner selects streams to generate a trained model according to a target data model. The target data model is determined based on balancing an accuracy constraint and an efficiency constraint for predicting tokens. The decoder acts as abridge between the AR and NAR models in generating a trained data model.

Abstract: An array substrate, a manufacturing method thereof and a display device are provided. The array substrate comprises a substrate, an active layer, a source and drain layer, a gate insulating layer and a gate. The active layer comprises an active section and a connecting section. The source and drain layer is disposed on the connecting section and contacts with the connecting section to be connected thereto; an area of a contact surface of the source and drain layer in contact with the connecting section is greater than an area of an orthographic projection of the contact surface of the source and drain layer in contact with the connecting section on the substrate.

Abstract: A ventilator system includes a first air tank, a plurality of second air tanks communicated with the first air tank, a plurality of breathing devices respectively communicated with the second air tanks, a plurality of first vacuum tanks respectively communicated with the breathing devices, and a second vacuum tank communicated with the first vacuum tanks. The first air tank has a positive pressure relative to the second air tanks. The second vacuum tank has a negative pressure relative to the first vacuum tanks.

Abstract: Embodiments of the present application provide a battery heating method, a charging device, and a battery management system, which can effectively heat a power battery. The method may be performed by a charging device, the method including: receiving first instruction information from a control device of a power battery before the charging device charges the power battery, where the first instruction information may be used to instruct the charging device to heat the power battery; and heating the power battery according to the first instruction information.

Abstract: A display panel and a display device are provided. The display panel includes an array substrate, a light-emitting device layer, and an ultraviolet light conversion layer. The ultraviolet light conversion layer is configured to convert high-energy ultraviolet light into low-energy ultraviolet light. When external high-energy ultraviolet light passes through the ultraviolet light conversion layer, it is converted into low-energy ultraviolet light by the ultraviolet light conversion layer. Low-energy ultraviolet light reaching inside of the panel has less influence on a luminescent material of the panel, thereby improving performance and service life of the display panel.

Abstract: A charging method for a secondary battery including a lithium-supplementing material. The method includes acquiring a first state of health of the secondary battery in response to the secondary battery being at a preset charging node, activating the lithium-supplementing material in response to the first state of health being less than or equal to a first threshold to supplement lithium for the secondary battery, performing a charging process on the secondary battery, determining a second state of health of the secondary battery based on a working parameter of the secondary battery in the charging process, and charging the secondary battery in response to the second state of health being greater than a second threshold.

Abstract: Aspects of the present disclosure relate to determining reference symbol transmission times. In some examples, a method for determining reference symbol transmission times for cellular communications includes receiving signal feedback based on a wireless communication channel between a wireless communication device and a base station, identifying a periodic exchange of reference symbols that are used to adjust beamforming between the wireless communication device and the base station, generating a vector based on the signal feedback, and providing the vector as an input to a trained machine learning model. A training of the trained machine learning model includes calculating a plurality of rewards for a respective plurality of transmission time delays. The plurality of rewards are each calculated based on a function of downlink throughput and uplink overhead. The function of downlink throughput and uplink overhead are based upon a priority level of the wireless communication device.

Abstract: A compound prism module is provided, including a first prism and a second prism. The first prism includes a first light-incident surface, a first reflecting surface, and a first light-emergent surface connected to each other, where the first light-incident surface and the first light-emergent surface are connected to each other on a first side edge. The second prism includes a second light-incident surface, a second reflecting surface, and a second light-emergent surface connected to each other, where the second light-incident surface and the second light-emergent surface are connected on a second side edge. The first light-incident surface and the second light-incident surface are connected to each other and are coplanar, the first reflecting surface and the second reflecting surface are connected on a third side edge, there is a spacing between the third side edge and a connection between the first light-incident surface and the second light-incident surface.