Abstract: The present disclosure relates to a risk early warning method and system for hydrogen leakage, and relates to the field of hydrogen leakage. The method includes: obtaining ventilation information of a hydrogen-related area; carrying out grid division on a pipeline system of the hydrogen-related area to obtain a gridded pipeline system; determining a risk coefficient corresponding to each grid of the gridded pipeline system according to leakage sources of the pipeline system; determining a high-risk region by means of a jet cone model according to the risk coefficients; determining a medium-risk region, a low-risk region and a safe region according to the risk coefficients and the ventilation information; and carrying out risk early warning according to the high-risk region, the medium-risk region, the low-risk region and the safe region.

Abstract: The present disclosure relates to a risk early warning method and system for hydrogen leakage, and relates to the field of hydrogen leakage. The method includes: obtaining ventilation information of a hydrogen-related area; carrying out grid division on a pipeline system of the hydrogen-related area to obtain a gridded pipeline system; determining a risk coefficient corresponding to each grid of the gridded pipeline system according to leakage sources of the pipeline system; determining a high-risk region by means of a jet cone model according to the risk coefficients; determining a medium-risk region, a low-risk region and a safe region according to the risk coefficients and the ventilation information; and carrying out risk early warning according to the high-risk region, the medium-risk region, the low-risk region and the safe region.

Abstract: A state-of-charge (SOC) online estimation method of an intelligent battery includes steps of performing online estimation on the SOC based on a real-time estimation model, wherein the real-time estimation model is based on an equivalent circuit model, and then obtaining online estimates of the SOC through the SOC-OCV (open circuit voltage) relationship, the current-voltage relationship under different working conditions, and the current terminal voltage and temperature of the intelligent battery. The intelligent battery that is able to apply the SOC online estimation method includes a battery cell and a cell management unit, wherein the cell management unit includes a sensor module, a switching device, a controller module, a communication module and a printed circuit board (PCB), the sensor module includes a voltage sensor and a temperature sensor; the voltage sensor, the temperature sensor, the switching device, the controller module and the communication module are integrated on the PCB.

Abstract: A transient current planning method for an ultra-high-speed permanent magnet synchronous motor for improving speed regulation response capabilities is provided. A transient current planning module uses a voltage model considering transient current changes to calculate current instruction values of an ultra-high-speed permanent magnet synchronous motor under MTPA control, general flux-weakening control, and MTPV control; a mode switching condition judgment subsystem judges whether a control mode is MTPA control or general flux-weakening control, or MTPV control, and sends d- and q-axis current instruction values in the corresponding control mode to a voltage decoupling control module; and the voltage decoupling control module calculates d- and q-axis voltage instruction values for controlling the motor, so as to realize control over the ultra-high-speed permanent magnet synchronous motor.

Abstract: A transient current planning method for an ultra-high-speed permanent magnet synchronous motor for improving speed regulation response capabilities is provided. A transient current planning module uses a voltage model considering transient current changes to calculate current instruction values of an ultra-high-speed permanent magnet synchronous motor under MTPA control, general flux-weakening control, and MTPV control; a mode switching condition judgment subsystem judges whether a control mode is MTPA control or general flux-weakening control, or MTPV control, and sends d- and q-axis current instruction values in the corresponding control mode to a voltage decoupling control module; and the voltage decoupling control module calculates d- and q-axis voltage instruction values for controlling the motor, so as to realize control over the ultra-high-speed permanent magnet synchronous motor.

Abstract: A state-of-charge (SOC) online estimation method of an intelligent battery includes steps of performing online estimation on the SOC based on a real-time estimation model, wherein the real-time estimation model is based on an equivalent circuit model, and then obtaining online estimates of the SOC through the SOC-OCV (open circuit voltage) relationship, the current-voltage relationship under different working conditions, and the current terminal voltage and temperature of the intelligent battery. The intelligent battery that is able to apply the SOC online estimation method includes a battery cell and a cell management unit, wherein the cell management unit includes a sensor module, a switching device, a controller module, a communication module and a printed circuit board (PCB), the sensor module includes a voltage sensor and a temperature sensor; the voltage sensor, the temperature sensor, the switching device, the controller module and the communication module are integrated on the PCB.

Abstract: The present invention relates to a rapid low-temperature self-heating method and device for a battery. Active controllable large-current lossless short-circuit self-heating cooperates with an external heater to implement rapid composite heating, so that a battery is rapidly heated in a low-temperature environment and is controlled to fall within an optimal working temperature interval, so as to improve energy utilization of the battery and durability of a battery system. Before the battery system is started, battery temperature is first determined; when the temperature is less than a threshold, an external short-circuit is first proactively triggered to generate a large current to implement self-heating inside the battery. The method is simple, easy to implement, and safe and reliable, and can effectively resolve a problem that an electric vehicle has large capacity degradation and poor working performance in a low-temperature severe cold working condition.

Abstract: The present invention relates to a rapid low-temperature self-heating method and device for a battery. Active controllable large-current lossless short-circuit self-heating cooperates with an external heater to implement rapid composite heating, so that a battery is rapidly heated in a low-temperature environment and is controlled to fall within an optimal working temperature interval, so as to improve energy utilization of the battery and durability of a battery system. Before the battery system is started, battery temperature is first determined; when the temperature is less than a threshold, an external short-circuit is first proactively triggered to generate a large current to implement self-heating inside the battery. A method for determining a large-current lossless short-circuit time threshold is disclosed.

Abstract: A method for estimating parameters and the state of a power system of an electric vehicle is disclosed. A multi-time scale model of the power system is set up; a parameter observer AEKF? based on a macroscopic time scale and a state observer AEKF, based on a microcosmic time scale in the power system of the electric vehicle are initialized; time update is performed on the parameter observer AEKF?, the updating time span is one macroscopic time scale, and a priori estimation value {circumflex over (?)}?l at the moment t1,0, of the parameter ? is obtained; time update and measurement update are performed on the state observer AEKFx and circulated for L times, so that the time of the state observer AEKFx is updated to the moment t0,1; and measurement update is performed on the parameter observer AEKF?, and the operation is circulated until the estimation is finished.

Abstract: A TSV wafer thinning controlling method and system is provided, which can improve the accuracy of the wafer thinning technique. The system includes a chuck table used for carrying a wafer and a grinding device used for thinning the wafer; and further includes: an infrared sensor equipped on the chuck table or grinding device, and a measurement feedback system connected with the infrared sensor and the grinding device; wherein, the infrared sensor comprises an infrared emitting and receiving circuit, signal amplifying and filtering circuit and a data processor.