24 results about "Thermal limit" patented technology

A cooling manifold for an electric machine is proposed with a hollow bolt feed solution that takes advantage of an existing bolt structure and interface to a housing of the electric machine to create a fluid passage for routing coolant to internal portions of a stator of the electric machine. The hollow bolt creates a sealed fluid interface without the need to add an additional seal, thereby reducing manufacturing complexity of the electric machine. In-slot cooling with the manifold, or with a plurality of the manifolds, may eliminate a reliance on slot liners and varnish for limiting relative motion of end windings of the stator and providing electrical isolation, while also cooling the hottest part of the electric machine, significantly influencing the machine's thermally limited capability.

A computer system (100) comprising processing circuitry (102) configured to: acquire terrain data (104) of an upcoming power event for a host vehicle (103), calculate a total power (106) required for traveling through the upcoming power event provided a target speed for the host vehicle, calculate, by adjusting a speed parameter (108) for the host vehicle at the upcoming power event, a pulse power (110) and pulse time (111) available in the electrical energy storage system (114) of the host vehicle to assist a speed adjusting device (116) of the host vehicle during the upcoming power event to reach the total power, calculate a recovery time window (118) prior to the upcoming power event that allows the electrical energy storage system (114) to provide the pulse power and pulse time at the upcoming power event with the constraint that a thermal limit of the electrical energy storage system at the end of the upcoming power event is not exceeded, provide an output (120) including the recovery time window, the pulse power, and the pulse time.

Aspects relate to mechanisms for providing a power aware thermal mitigation framework for a system-on-chip (SoC) of a device (e.g., a mobile device). A thermal controller of the SoC is configured to calculate a respective power of each of a plurality of electronic control units (ECUs) on the SoC at run time. The ECUs may include, for example, central processing units (CPUs), graphic processing units (GPUs), neural signal processors (NSPs), etc. In response to a skin temperature of the device exceeding a threshold (e.g., a thermal limit of the device), the thermal controller may then be configured to apply at least one thermal mitigation action to at least one ECU of the plurality of ECUs based on the respective power of each of the ECUs.

A method for determining an electric energy storage system state-of-power value. The method includes for each battery unit in the electric energy storage system, determining the battery unit state-of-power value, the battery unit state-of-power value being indicative of the maximum amount of electric load that the battery unit can deliver or receive at a constant load level during the predetermined future time range without violating electro-thermal limits of the battery unit, for each battery unit in the electric energy storage system, obtaining a battery unit measured load value indicative of the electric load actually imparted on the battery unit at a certain time instant, on the basis of the battery unit measured load value for each battery unit in the electric energy storage system, determining a load distribution amongst the battery units of the electric energy storage system, and determining the electric energy storage system state-of-power value on the basis of the battery unit state-of-power values and on the load distribution.

A microwave heating temperature field control method for heat limit wave absorption is characterized in that the microwave absorption rate of a heated object changes along with the temperature, the temperature rise rate of a high-temperature area of the heated object is reduced, meanwhile, the microwave selective heating effect is enhanced, and the self-adaptive temperature control effect of temperature self-limiting of a high-field-intensity area and rapid temperature rise of a low-field-intensity area is achieved.

A computer system has processing circuitry to acquire terrain data of an upcoming power event for a host vehicle, calculate a total power required for traveling through the upcoming power event provided a target speed for the host vehicle, calculate, by adjusting a speed parameter for the host vehicle at the upcoming power event, a pulse power and pulse time available in the electrical energy storage system of the host vehicle to assist a speed adjusting device of the host vehicle during the upcoming power event to reach the total power, calculate a recovery time window prior to the upcoming power event that allows the electrical energy storage system to provide the pulse power and pulse time at the upcoming power event with the constraint that a thermal limit of the electrical energy storage system at the end of the upcoming power event is not exceeded, provide an output including the recovery time window, the pulse power, and the pulse time.

The invention discloses a method for estimating the maximum bearing capacity of renewable energy sources of a power grid, and the method comprises the steps: building a power grid operation model based on an AC optimal power flow and constraint conditions, and enabling the constraint conditions to comprise a node power balance constraint, a power transmission line thermal limit constraint, a voltage and phase angle stability constraint, and a power output constraint; carrying out battery energy storage constraint and short-circuit current constraint; constructing a collaborative objective function, wherein the objective function comprises maximization of renewable energy and energy storage system bearing capacity and minimization of construction cost; and solving the model by adopting a mixed artificial rabbit sine and cosine algorithm, and outputting a globally optimal solution. The invention provides a scientific and effective method for collaborative planning of renewable energy and stored energy in a power system and matched optimization of a power transmission line and a fault current limiter, and the characteristics and advantages of the scheme are clarified by implementing the effectiveness of an example verification model.

The application discloses a power distribution network data distortion identification and repair method and system, relates to the technical field of power distribution network data quality management, and comprises the following steps: firstly, the time series of voltage, current, active power and reactive power are denoised, aligned and interpolated; distortion such as drift, spike and loss is identified by combining statistical screening, machine learning and deep network; the abnormal section is respectively reconstructed by using Bayesian, GDBT and time sequence neural network, and the repair value is obtained by adaptively weighting according to historical error, type adaptation, feature correlation and working condition adaptability; and the feasibility check is carried out by introducing constraints such as power flow consistency, voltage range and line thermal limit. The method can significantly improve the detection rate and positioning accuracy, inhibit false repair, ensure that the result meets the physical law and equipment boundary, is still stable in the scene of sparse observation, noise and working condition switching, reduces manual review and outage risk, and is convenient for online landing.

The objective is to provide a thermal limit monitoring system that is both high-speed and capable of improving the accuracy of thermal limit calculation. [Solution] A thermal limit monitoring system equipped with a thermal limit monitoring device, wherein the thermal limit monitoring device is a thermal limit calculation unit that calculates the thermal limit using machine learning with correction amounts used as training data in the calculation of the thermal limit for each fuel by a core performance calculation device.

The invention discloses a flow control valve suitable for ultrahigh-temperature molten steel, which belongs to the field of ultrahigh-temperature valves and comprises a main valve body, a graphite lining, a lining fixing cover plate, an upper plate cover, a lower plate cover and a fireproof valve plate. The graphite lining layer, the ceramic heat insulation layer and the hollow convection layer are designed in the whole valve to achieve gradient heat regulation and control, heat dissipation of the valve body and electrical elements is effectively achieved (the valve body is made of 310S stainless steel, and the heat resistance limit is 1200 DEG C), the internal temperature is kept constant (the temperature of the inner wall of the graphite lining is larger than 1600 DEG C), and molten steel condensation is avoided. The inclined fire-resistant valve plate is adopted as a core adjusting element and is matched with the graphite lining, so that adhesion of molten steel on the plate surface can be reduced in the process of adjusting the flow of the molten steel, and the service life is prolonged.

Disclosed are head-mounted electronic devices incorporating piezoelectric devices for dissipating heat, and related methods of controlling piezoelectric devices to dissipate heat from the head-mounted electronic devices. To dissipate heat in a head-mounted electronic device, a piezoelectric device is integrated in the head-mounted electronic device and fluidly coupled to an internal air plenum in the head-mounted electronic device in fluid communication with an integrated circuit (IC). The piezoelectric device draws the heated air around the IC into the interior chamber, thereby heating the air inside the interior chamber. The piezoelectric device is configured to pump heated air in the interior chamber through the outlet to dissipate the heated air from the interior chamber. The dissipation of the heated air heated by the heat generated from the IC can keep the IC not exceeding its thermal limit and / or prevent the head-mounted electronic device from exceeding its skin temperature limit.

The invention relates to the technical field of battery management, in particular to a method for realizing overheating protection of a CPE (Customer Premise Equipment) battery, which comprises the following steps of: acquiring three groups of temperatures per second, calculating a total thermal difference, judging sudden change, generating a pre-protection mark in combination with a thermal limit record and a temperature rise trend, executing a power-off load control operation and recording a power consumption behavior, and identifying user intervention to generate a release conclusion. And generating an overheating protection scheme when three conditions are met. According to the method, multiple groups of temperature difference calculation and thermal boundary comparison are introduced in temperature rise judgment, the abnormal change recognition capability is enhanced, high-temperature detection fusion trend and strength double-factor conditions are adopted, the overheating judgment precision is improved, a heating source is closed step by step to reduce the thermal load, energy consumption control is enhanced, and an interactive feedback recognition mechanism is constructed to recognize manual intervention operation; response accuracy is improved, quit judgment is combined with triple judgment of the temperature trend, the charging state and the power supply link, recovery judgment stability is enhanced, and rapid identification and safe operation guarantee under the thermal change condition are achieved.

The application provides a heat management system. The heat management system comprises a compressor, a first heat exchanger, a first valve, a flash evaporator, a motor loop and a battery loop. The first heat exchanger is connected to the compressor. The first heat exchanger is connected to the first valve. The flash evaporator is connected to the first valve and the compressor, and the compressor, the first heat exchanger, the first valve and the flash evaporator form a first loop. The motor loop is connected to the flash evaporator and the first heat exchanger. The battery loop is connected to the first heat exchanger and the motor loop. The cold carrier carrying motor heat in the motor loop can enter the flash evaporator to assist the refrigerant to realize flash evaporation, the heating is assisted by introducing an external heat source, the air supplement is increased, and the heating limit of the heat management system in an extremely low temperature environment is improved. The cold carrier cooled in the flash evaporator enters the first heat exchanger to exchange heat with the high-temperature and high-pressure gas refrigerant in the first heat exchanger, the cold carrier after temperature rise enters the battery loop to heat the battery, and the heating and heat preservation of the battery are realized.

Provided is an engine cooling system capable of securing a margin up to the heat resistance limit of an engine by means of pre-cooling when deceleration is performed when it is predicted that high-load travel in which the engine needs to be cooled is performed. The engine cooling system is provided with an electric water pump for circulating a coolant between an engine and a radiator of a vehicle, and a grille damper which is provided in front of the radiator and has an adjustable opening degree. When it is predicted that the engine is traveling at a high load on the basis of a high-load traveling history including position information on the map of the vehicle when the engine of the vehicle is in a high load in the past, and current position information on the map of the vehicle, opening control of the grille damper is performed when the vehicle is decelerated, and opening control of the grille damper is performed when the vehicle is decelerated. And rotational speed increase control of the electric water pump is performed.

The invention discloses a method and a device for determining a reactive power support boundary of a pumped storage unit, solves the problem that a traditional rated capacity evaluation mode is insufficient in adaptability to dynamic working conditions, and improves the support capability of power grid voltage. The method comprises the steps that a target pumped storage unit to be subjected to reactive support is determined, a unit characteristic diagram corresponding to the target pumped storage unit is inquired in a system database, and the unit characteristic diagram is used for indicating the quantitative relation between stator current and exciting current corresponding to the target pumped storage unit; according to rotor winding thermal limitation, determining an excitation current inverse time limit curve corresponding to the target pumped storage unit, and according to the excitation current inverse time limit curve and the unit characteristic diagram, determining a stator current inverse time limit curve corresponding to the target pumped storage unit; and determining a reactive power value to be provided by the target pumped storage unit, and determining a reactive support boundary corresponding to the reactive power value according to the reactive power value and the stator current inverse time limit curve.

A two-phase cooling system for an electrified vehicle includes a condenser, a first electronic drive module (EDM), a high voltage battery, a first vapor compression loop and a second vapor compression loop. The first EDM includes a first electric motor and a first power inverter module (PIM). The high voltage battery powers the first EDM. The first vapor compression loop provides cooling to the first EDM and includes a first liquid-vapor separator and a first pump that draws subcooled liquid from the condenser through the first liquid-vapor separator and directs the cooling liquid to the first EDM. A controller: receives driver inputs indicative of a thermal limit of the cooling system; determines, based on the driver inputs, that the thermal limit will be reached in a short future timeframe; and commands, based on the determination, the first compressor to increase compressor speed.

The present application relates to the technical field of digital twinning, in particular to a warm power module operation modeling method and system based on digital twinning, comprising the following steps: obtaining entity temperature and power data to generate operation state identification, extracting non-steady-state peak value to construct thermal stress characteristics, building network from steady data and generating branch thermal resistance characteristics, reconnecting over-limit branches to generate a reconstructed topology model, and combining feature evaluation with heat dissipation output modeling results. In the present application, by dynamically dividing non-steady-state impact and steady-state operation according to the current change rate index, extracting peak data to construct thermal stress limit characteristics, and dynamically disconnecting and reassociating virtual nodes based on the actual thermal resistance over-limit situation to generate a reconstructed heat conduction network topology model, the adaptive dynamic update and accurate topology reorganization of the heat conduction path in the digital space are realized, the thermal limit characteristics under extreme working conditions are accurately described, and the accuracy of the comprehensive heat dissipation evaluation of the warm power module is improved, and the role of outputting effective control instructions is improved.

Suspension (10) of a component (7) of a turbomachine (1) to a structure (1a) of the turbomachine, comprising at least one connecting rod (11) articulated by a first end (12) on a journal (13) and by a second end (14) on a fitting (15) integral with the structure (1a) of the turbomachine (1), the journal (13) being connected to the component (7) by means of a flexible link (20), the flexible link (20) comprising two coaxial laminated cylinders (21, 22) supporting the journal (13) and each comprising an alternation of at least one layer of elastomeric material (21c 22c) and at least one intermediate layer of thermally conductive and elastically deformable metallic material (21d, 22d). The suspension (10) further includes a thermal limiting device (30) configured to limit the temperature of the intermediate layers of metallic material (21d, 22d). Figure for the abstract: [Fig 3]

The charging and discharging of the energy storage device is controlled to adequately protect components in the current path from overheating while ensuring that the operating performance of the electric vehicle is not compromised. [Solution] The control device sets the allowable power for the power input and output to the energy storage device based on the temperature and amount of energy stored in the energy storage device, and controls the motor so that the power input and output to the energy storage device does not exceed the allowable power. The control device has an allowable maximum limit rate for the limit rate, which is the rate at which the allowable power decreases. The control device is configured to reduce the allowable power at the allowable maximum limit rate if the evaluation function F for the temperature of a component provided on the current path input and output to the energy storage device exceeds the limit start value Ftag. The limit start value Ftag is set to a value that, when the allowable power is reduced at the allowable maximum limit rate, can keep the evaluation function F below a threshold Fm determined from the heat resistance limit temperature of the component.

A computer system for controlling a power usage of a traction electric machine of a vehicle has processing circuitry to predict a power profile for an upcoming route section; determine a thermal buffer of a component or subsystem of the vehicle that is available before a thermal limit is reached. The component or subsystem is associated with a usage restriction due to increased power usage of a driveline of the vehicle, determine a constant power level of the traction electric machine for the upcoming route section based on the thermal buffer and the predicted power profile for the upcoming route section that allows an increase in temperature of the component or subsystem without exceeding the thermal limit while travelling through the upcoming route section. An output message indicates the constant power level.

A method and apparatus for power and thermal management for multiple processing cores are disclosed. Existing dynamic voltage and frequency scaling (DVFS) approaches typically perform localized management for individual cores, such as a central processing unit (CPU) or a graphics processing unit (GPU), resulting in suboptimal overall power consumption and thermal throttling. The disclosed energy manager addresses this by performing energy management across at least two computing cores executing a hybrid workload with a shared execution deadline. The energy manager acquires historical performance data to predict the execution time and total power consumption for a plurality of voltage and frequency combinations. An optimal combination is selected that minimizes the total predicted power consumption while meeting the deadline. The system further determines a thermal constraint, such as a thermal power budget, and restricts the available voltage and frequency combinations, ensuring continuous operation within safe thermal limits while improving power efficiency.

The invention discloses a method for constructing a high-voltage direct-hanging constructed network type energy storage transient power safety domain model considering an electric-thermal limit constraint. According to the method, electric-thermal limit constraints of components of energy storage equipment, system voltage frequency safe operation constraints and small signal stability constraints are comprehensively considered, safe operation requirements of the equipment and the system are considered, and the method for calculating the power safe operation domain before and after transient disturbance when the constructed network type energy storage is connected to the complex power grid is provided. Technical guidance can be provided for safe dispatching operation of the high-voltage direct-hanging network energy storage access high-proportion new energy power system.

This invention relates to the field of aerospace motor drive control technology, specifically a dual-redundant fault-tolerant aerospace motor drive control method and system. The method constructs a coupled electrical, magnetic, thermal, and mechanical dynamics model and sets boundaries; performs flux folding iteration to find the optimal flux trajectory between thermal constraints and thrust requirements; simulates high-maneuver load conditions and determines pulse width parameters that meet dynamic response and thermal safety through multiple rounds of negotiation; injects fault signals to verify remaining capacity and maps minimum control corrections to form comprehensive control parameters; dynamically allocates dual-redundant power based on real-time health coefficients and solidifies control boundaries. Ultimately, it achieves a dynamic balance between thermal limits and thrust requirements under all flight conditions, fine fault tolerance in fault modes, and adaptive allocation of redundant channel power, significantly improving the safety and reliability of the aerospace motor drive system.

The invention discloses a distribution feeder charging facility openable capacity optimization evaluation method and system, and relates to the technical field of intelligent power grid and power system planning. The method aims at solving the problems that an existing evaluation method cannot effectively quantify uncertainty and is difficult to balance economical efficiency and safety, and comprises the steps that multi-dimensional data of a target feeder line are collected, and a time-varying charging coincidence rate curve is determined in combination with the actual charging behavior of an electric vehicle; generating a typical scene set through clustering based on annual data; establishing a two-stage stochastic optimization model taking maximization of the number of newly added charging piles as a target, and considering power balance, voltage safety, line thermal limit and transformer capacity constraints; converting the model through second-order cone programming relaxation, processing a voltage offset risk by adopting an epsilon-constraint method, and generating a Pareto frontier; and finally, realizing optimized balancing of the access capacity and the voltage safety risk of the charging facility through an interactive balancing curve, and realizing collaborative optimization of the access capacity and the voltage safety risk of the charging facility.