Abstract: A thermal management system for an energy storage battery pack includes energy storage battery packs and temperature control sub-units. Each energy storage battery pack includes battery modules and a main housing used for accommodating the battery modules; the temperature control sub-units are mounted on the energy storage battery packs, respectively; each temperature control sub-unit includes a speed regulation fan used for dissipating heat for the energy storage battery pack, a temperature detector used for sensing a temperature of the battery modules and a pulse width modulation (PWM) controller; the speed regulation fan, the temperature detector and the PWM controller of one of the temperature control sub-units are in signal connection, the PWM controller is used for adjusting the duty ratio of the speed regulation fan according to the difference value between the temperature of the battery modules and a temperature threshold; and the temperature threshold is a preset value.

Abstract: A system includes data processing hardware and memory hardware. The memory hardware is in communication with the data processing hardware and stores instructions that when executed on the data processing hardware cause the data processing hardware to perform certain operations. The operations include receiving a temperature corresponding to a battery, and determining whether the temperature is greater than a predetermined threshold temperature. The operations also include, when the temperature is greater than the predetermined threshold temperature, actuating an ejector to eject the battery from a power supply assembly.

Abstract: An automatic shift control method, apparatus, device and storage medium. A vehicle is controlled to perform an elastic release operation in response to a drive switching request. When unloading torque of a first electric machine of the vehicle is completed, a moving component of a disengaging and engaging apparatus of the vehicle is controlled to perform a position adaptive operation. Meshing direction and separation control is performed on the moving component when a rotational speed of the moving component reaches a stable state, to cause the moving component to move in a disengaging direction to a completely disengaged position, and switch of the vehicle from a four-wheel drive power mode to a two-wheel drive mode is completed.

Abstract: The present application relates to the field of electric vehicles, and particularly to an electric vehicle and an electric-machinery control method therefor, an apparatus and a storage medium. The electric-machinery control method for the electric vehicle of the present application includes: detecting a relative deformation amount of a transmission system between a driving gear and a wheel end of an electric machinery; determining a first speed differential value between a first driving-gear rotational speed and a first wheel-end converted rotational speed when the relative deformation amount is a first threshold value; determining an output torque of the electric machinery according to the first speed differential value; controlling the driving gear to perform a gear-approaching operation relative to the driven gear according to the output torque.

Abstract: The present application relates to an electric vehicle, a motor control method thereof, an apparatus and a storage medium. The motor control method of the electric vehicle of the present application includes: detecting a relative deformation of a transmission system between a driving gear and a wheel end of a motor; determining a first speed difference value of a first driving gear rotation speed and a first wheel end conversion rotation speed when the relative deformation is a first threshold, where the relative deformation being the first threshold value is used to indicate that the driving gear starts to disengage from a driven gear of the transmission system; determining an output torque of the motor according to the first speed difference value; and controlling the driving gear to perform a tooth approaching operation relative to the driven gear according the output torque.

Abstract: An active heating method for an electric motor, an apparatus, a device, a storage medium and a program product. The method includes: receiving a heating instruction sent by a heat management system, where the heating instruction includes a heating power; inputting a current to the electric motor and adjusting a phase of three-phase pulses according to the heating power; continuously detecting an electric motor iron loss power, determining a difference between the electric motor iron loss power and the heating power, and adjusting a phase difference of the three-phase pulses according to the difference between the electric motor iron loss power and the heating power until the difference between the electric motor iron loss power and the heating power is less than a preset value, to realize active heating of the electric motor.

Abstract: Disclosed are a vehicle-end charging control guidance circuit, a circuit board and a vehicle. The vehicle-end charging control guidance circuit includes a charging guidance module, and the charging guidance module includes a switching unit, a differential charging guidance circuit and a common charging guidance circuit. The switching unit is configured to conduct the differential charging guidance circuit corresponding to a charging interface standard of a power supply device in the charging guidance module when receiving a switch control signal. The charging guidance module is configured to transmit a charging signal between the power supply device and a microprocessor by a conducted differential charging guidance circuit and the common charging guidance circuit.

Abstract: A vehicle frame assembly includes a plurality of members, a tray, at least one insulation member, and at least one battery. The plurality of members define a first void. The tray is coupled to at least one member of the plurality of members. The tray defines a second void. The at least one insulation member is disposed within the first void or the second void. The at least one battery is disposed within the first void and the second void.

Abstract: Disclosed herein are a method and a device for remotely diagnosing vehicle faults, a vehicle and a computer storage medium. The method includes monitoring vehicle data uploaded by the vehicle in real time via a cloud platform, and determining whether to identify a preset fault abnormal signal identification from target data of the vehicle data. The method also includes, in response to the fault abnormal signal identification being identified from the target data, sending a fault diagnosis task to the vehicle according to the target data, and receiving diagnosis result data returned by the vehicle after the fault diagnosis task is executed locally by the vehicle. The method further includes generating a remote fault diagnosis result of the vehicle according to the vehicle data and the diagnosis result data.

Abstract: A map matching method, an apparatus and an electronic device related to the technical field of artificial intelligence such as high-precision map, autonomous driving, internet of vehicles, and smart cockpit, where a specific implementation is: when matching a high-precision map with a standard-precision map, firstly acquire road network data corresponding to the high-precision map and the standard-precision map to be matched; and construct a first graph network based on the road network data corresponding to the high-precision map, and construct a second graph network based on the road network data corresponding to the standard-precision map, then determine a matching result between the high-precision map and the standard-precision map based on the first graph network and the second graph network. By the method using the graph network, the matching of the high-precision map with the standard-precision map can be accurately realized, thereby effectively improving accuracy of the matching result.

Abstract: Disclosed are a method and a device for predicting state of health of a battery, an electronic equipment and a readable storage medium. The method includes: obtaining battery data of a vehicle; performing feature extraction on the battery data to obtain a vehicle-using behavior feature corresponding to the vehicle; predicting and obtaining a predicted vehicle-using behavior feature of the vehicle in a next time step according to the vehicle-using behavior feature; and predicting and obtaining a health degree of the battery in the vehicle according to the predicted vehicle-using behavior feature and a battery health state prediction model.

Abstract: Disclosed are a consistency evaluation method for a vehicle battery cell, a device, an equipment, and a storage medium. The method includes: acquiring vehicle operation data, and selecting effective cell data in the vehicle operation data according to a preset effective data standard; processing the effective cell data according to a preset cell consistency index processing method to obtain cell consistency index data; determining a total index deviation value of all battery cells in the current vehicle according to the cell consistency index data; and if the total index deviation value exceeds a preset deviation threshold, determining a consistency risk of the current vehicle.

Abstract: A map matching method, an apparatus and an electronic device related to the technical field of artificial intelligence such as high-precision map, autonomous driving, internet of vehicles, and smart cockpit, where a specific implementation is: when matching a high-precision map with a standard-precision map, firstly acquire road network data corresponding to the high-precision map and the standard-precision map to be matched; and construct a first graph network based on the road network data corresponding to the high-precision map, and construct a second graph network based on the road network data corresponding to the standard-precision map, then determine a matching result between the high-precision map and the standard-precision map based on the first graph network and the second graph network. By the method using the graph network, the matching of the high-precision map with the standard-precision map can be accurately realized, thereby effectively improving accuracy of the matching result.