523 results about "Electric energy consumption" patented technology

The invention discloses an electricity consumption real-time monitoring management method and system based on the Internet of Things, and relates to the technical field of power supply energy consumption monitoring. According to the electricity consumption real-time monitoring and management method based on the Internet of Things, multi-source data of a centralized office place is collected through Internet of Things equipment, edge processing is carried out, a digital twin model is constructed to predict energy consumption, an initial optimization strategy is screened, and the strategy is further optimized in a preset scene in combination with a reinforcement learning algorithm; and finally, the strategy is executed through the Internet of Things platform, correction is performed according to feedback, and meanwhile, the residual life of the equipment is predicted for fault monitoring, so that the core problems of insufficient real-time performance, non-intelligent strategy optimization, equipment fault early warning lag in a centralized office space and the like in the traditional energy consumption management are solved; dynamic optimization of power consumption, accurate monitoring of equipment states and advanced intervention of faults are achieved, and the energy utilization efficiency and the system reliability are remarkably improved.

The invention discloses a big data computing power center management system for a digital energy virtual power plant, and relates to the technical field of power dispatching management. The digital energy virtual power plant big data computing power center management system comprises a data acquisition module used for continuously acquiring power management and control time sequence data of a plurality of power areas of a virtual power plant to be managed and controlled; the data analysis module analyzes the power management and control time sequence data to obtain a power productivity index, an electric energy reserve index and an electric energy consumption intensity index of each time period of each region, and calculates a power supply and demand index; according to the invention, scheduling management is carried out on the virtual power plant through the power supply and demand index of the next time period of each power region in the scheduling management module, so that efficient utilization of power resources is ensured; therefore, the power supply and demand balance is improved, the overall efficiency of the power system is improved, and the extra cost caused by insufficient power supply or waste is reduced.

The invention belongs to the technical field of intelligent energy and power system automatic control, and particularly relates to a cross-level collaborative regulation and control system integrating meteorological prediction, power market and equipment state, which comprises a central collaborative controller, a data acquisition unit, a communication network and an execution terminal, the data acquisition unit is used for acquiring meteorological data, power load data, electric energy consumption cost data and equipment operation state data in real time; the execution terminal at least comprises a photovoltaic inverter, an energy storage converter and a charging pile controller; the central cooperative controller is configured to execute three cooperative optimization closed loops, namely, a data fusion and prediction closed loop, a multi-target dynamic optimization closed loop and a multi-time scale control closed loop. According to the system and the method provided by the invention, the problems of real-time performance and accuracy of multi-source heterogeneous data fusion are solved; the balance optimization bottleneck of multiple targets such as economy, stability and environmental protection in the dynamic process is broken through; full-time-scale seamless cooperative control from second-level emergency response to hour-level economic dispatching is realized; and the self-adaptive capability and the overall performance of the system in different application scenes are improved.

The invention relates to the technical field of charging piles, and provides an electric energy metering method and device for a charging pile and a storage medium, and the method comprises the steps: carrying out the real-time data collection of a charging process of the charging pile, obtaining an instantaneous voltage and an instantaneous current, generating an energy density change trend, carrying out the continuous node energy efficiency ratio evaluation, obtaining a feature mapping vector group, and carrying out the calculation of the feature mapping vector group; and performing energy heteromorphic analysis on the feature mapping vector group to obtain an energy deviation index and a load response matching degree, and then calculating an electric energy metering value. The charging process of the charging pile is monitored in real time, and electric energy metering is optimized through fine mathematical analysis and an algorithm model, so that the defects of the traditional technology in coping with a complex charging mode and load fluctuation are overcome, and the defect that the analysis on the electric energy consumption process is lacked in the complex charging mode is overcome; abnormal fluctuation or load response in the charging process cannot be effectively recognized, and the accuracy of electric energy metering is poor.

The present application provides a reverse-type integrated miniature linear servo electric cylinder. An open end of a rotor housing in a power transmission mechanism is fixedly connected to a planetary carrier by means of a coupling, the planetary carrier is directly driven by means of integration of the motor rotor housing and the planetary carrier, and after power transmission via the planetary carrier, an output end is directly driven to achieve linear motion without adding a gear reduction mechanism to a power transmission system of the electric cylinder, thereby significantly reducing the internal space of the electric cylinder occupied by the power transmission mechanism, allowing the electric cylinder to develop to have a more miniaturized and compact structure, saving costs; moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is reduced, and relatively good economic benefits can be yielded.

The invention discloses an intelligent UPS power supply control system, and relates to the technical field of UPS power supplies, and the system comprises a first detection module, and when the first detection module detects that the electric energy provided by a power supply control module is lower than a first low-voltage threshold value and is greater than a second low-voltage threshold value, the UPS power supply is started; the first battery module or the second battery module and the power supply control module are controlled by the energy-saving control module to carry out electric energy superposition power supply, so that the electric energy consumption of the first battery module and the second battery module is reduced, and the electric energy of the power supply control module is reasonably utilized; the charging and discharging control module automatically controls the first battery module or the second battery module to carry out balanced discharging and controls the first battery module and the second battery module to carry out series discharging, and the charging and discharging control module can carry out balanced charging control. According to the intelligent UPS control system, the cruising ability of the power supply can be increased, the power supply efficiency of the power supply is improved, the charging and discharging safety is improved, and the service life is prolonged.

The system comprises an electrolysis module, a water supply part and a hydrocarbon fuel supply part, and is characterized in that the electrolysis module comprises a cathode inlet, an anode inlet, a cathode outlet and an anode outlet; the water supply part is sequentially connected with a first water pump, a first steam generator, a first heat exchanger, a first heater and a cathode inlet; the cathode outlet is connected with the cathode inlet through the first ejector in sequence, the cathode outlet is connected with the first heat exchanger, the first condenser and the hydrogen storage part in sequence, and the hydrogen storage part is connected with the first heat exchanger through the first mass flow meter; and the hydrocarbon fuel supply part is sequentially connected with a second mass flow meter, a second heat exchanger, a second heater and an anode inlet. According to the invention, the strong endothermic reaction of hydrocarbon fuel oxidation is utilized to compensate the strong endothermic electrolyzed water reaction of the cathode in situ, so that the electric energy consumption of the electrolysis module is greatly reduced, meanwhile, the operating temperature of the electrolysis module is reduced, and the service life is greatly prolonged.

The invention discloses a precise air conditioner energy-saving control optimization method based on reinforcement learning, which comprises the following steps of: acquiring environmental parameters such as temperature, humidity, thermal load, electric energy consumption and running state of an air conditioner system, generating a vector reflecting the current environmental condition, scoring a plurality of control actions through an improved Banditron perceptron model, and calculating the control parameters of the air conditioner system according to the scored control actions. Selecting an optimal control action through a Thompson sampling mechanism, executing the selected control action, collecting environment feedback information after execution, forming a feedback parameter set, dynamically adjusting parameter values of exploration behaviors through data analysis of a continuous control period, and finally jointly inputting a current environment state and the control action into a decision model. And generating a parameter set for setting operation of the air conditioner. Intelligent optimization and energy-saving regulation and control of the air conditioner control process are achieved.

The invention provides a device screen-on control method, a household central control screen, a storage medium and an electronic device.The method comprises the steps that a display screen is controlled to enter a screen-off state, a living body signal is monitored through an infrared sensor, and the display screen comprises the infrared sensor, a camera and a light supplementing lamp; if a living body signal is detected, activating the camera and the light supplementing lamp; obtaining a face image collected by the camera; and lightening the display screen according to the face image. The technical problems of energy waste and light pollution caused by the fact that the display screen is normally on in the prior art are solved, power consumption is reduced, and the service life of the display screen of equipment is prolonged.

The invention provides a battery process simulation test method, which comprises the following steps of: S1, inputting battery model parameters required by a second-order equivalent circuit and an initial state of a battery for pre-processing to obtain a basic second-order equivalent circuit simulation model, and introducing a series of calibration parameters on the basis of the basic second-order equivalent circuit model to obtain a simulation result of the battery model; errors are dynamically corrected in the simulation calculation process, the problem that an original model is insufficient in precision in the aspects of SOC change rate, voltage response and the like is effectively solved, and the accuracy and reliability of simulation results are remarkably improved. Aiming at complex and diversified process requirements in a battery test scene, a process simulation function supporting multiple process steps and multi-condition logic is constructed, an actual test process can be truly restored, and powerful data support is provided for process debugging, test time prediction and electric energy consumption evaluation.

The invention discloses a factory carbon emission monitoring method and system based on an electricity-carbon calculation model, relates to the technical field of carbon emission monitoring and energy management, and is used for solving the problem that the real-time performance and accuracy of carbon emission monitoring are reduced due to the fact that carbon emission results are mostly presented as coarse-grained indexes. An initial carbon flow distribution matrix is constructed by collecting carbon concentration and electric energy consumption data of distributed energy access points in a plant, a carbon flow model is generated based on a digital twinborn body, a carbon flow weight is dynamically corrected by combining a Bayesian inference algorithm, the total carbon emission amount of the plant is calculated, and a monitoring result is output. According to the method, the spatial precision and the real-time correction capability of carbon emission tracking can be improved, early warning of the carbon emission trend of the key node is realized, and data support and decision basis are provided for a low-carbon operation strategy of a factory.

The utility model belongs to the technical field of seawater treatment, particularly relates to a portable seawater desalination device, and aims to solve the problems that in order to meet the fresh water requirement of long-term navigation, a fresh water generator is installed, the volume of the fresh water generator is large, the weight of the fresh water generator can reach more than one ton, and a distillation method adopted by the fresh water generator is that a vacuum pump is arranged to form a low-pressure environment, so that seawater is easier to evaporate. In order to solve the problems of high energy consumption and high requirements on devices in the prior art, the utility model provides the following scheme: the device comprises a frame, and a seawater tank for containing seawater is fixed at the side end of the frame; a filtering part is arranged in the frame and comprises a sand filter, a carbon filter, a softener and a precision filter, the sand filter is communicated with the carbon filter, the carbon filter is communicated with the softener, and the softener is communicated with the precision filter; solar energy is adopted as an energy supply device, no additional electric energy consumption is generated, and the effect of saving energy is achieved; the portable device is convenient and easy to carry, and the space ratio and the load of the ship can be reduced.

The invention discloses a refrigerator and an operation energy consumption estimation method thereof, and the method comprises the steps: obtaining the current operation state data of the refrigerator in the operation process of the refrigerator, determining the current operation mode of the refrigerator, constructing a feature vector corresponding to the operation mode according to the operation state data, and calculating the operation energy consumption of the refrigerator; and inputting the feature vector into an electric energy reasoning model which corresponds to the operation mode and is obtained through deep learning pre-training so as to estimate the electric energy consumption of the refrigerator in the previous electric energy detection period. By adopting the embodiment of the invention, the corresponding feature vector and the electric energy reasoning model can be determined according to the operation mode of the refrigerator, reasoning calculation of the operation energy consumption is realized by using the operation state data generated in the operation process of the refrigerator, and the accuracy of energy consumption estimation is improved.

The invention relates to a new energy extended-range automobile thermal management system and a control method, and belongs to the field of automobile air conditioners. The system comprises a refrigerant loop and a cooling liquid loop, and heat management functions of a passenger compartment, a battery, an electric drive and an engine are achieved through multi-loop collaborative design. The refrigerant loop comprises first to fifth refrigerant loops, a core component is a compressor, the flow direction of a refrigerant is controlled through an electromagnetic valve and a one-way valve, and passenger compartment cooling, battery cooling and waste heat recovery are achieved. The cooling liquid loop works cooperatively with a water pump through a three-way proportional valve, and electric heat dissipation, engine heat dissipation and battery heating are achieved. Through the high coupling design of the refrigerant loop and the cooling liquid loop and the multi-target cooperative control strategy, the comprehensive efficiency and applicability of thermal management are remarkably improved, the electric energy consumption is reduced, the endurance mileage of the vehicle in a pure electric mode is prolonged, and the reliability and maintainability of the system are enhanced.

The invention relates to the field of automatic control, in particular to a cooperative scheduling control method of a weeding machine in a field environment, which comprises the following steps of: acquiring field and weeding related information by using a camera carried by an unmanned aerial vehicle, a multispectral sensor and different sensor equipment, preprocessing the data, and establishing a weeding operation priority evaluation neural network model; outputting a weeding operation priority evaluation result; obtaining a field weeding operation evaluation information confidence coefficient according to the output weeding operation priority evaluation information, setting a weeding operation evaluation information confidence coefficient threshold value, and calculating a real-time weeding operation speed by combining the field weeding operation evaluation information confidence coefficient with electric energy consumption; and calculating a field weeding efficiency measurement index through the obtained field weeding operation speed and weeding equipment performance, and if the obtained field weeding efficiency measurement index exceeds a weeding reference efficiency threshold range, starting preparation work countdown.

According to the reverse type integrated miniature linear servo electric cylinder, the open end of a rotor shell in a power transmission mechanism is fixedly connected with a planet retainer through a coupler, and the planet retainer is directly driven by adopting integrated treatment of the motor rotor shell and the planet retainer; after power transmission of the planet retainer, the output end is directly driven to realize linear motion without adding a speed reducing mechanism in a power transmission system of the electric cylinder, so that the internal space, occupied by the power transmission mechanism, of the electric cylinder is greatly reduced, the electric cylinder can be developed to a smaller and more compact structure, and the cost can also be saved; and moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is saved, and better economic benefits can be generated.

A method for predicting electric energy consumption in an electric grid, which employs a linear auto-regressive model to calculate prediction data related to the electric energy consumption in an electric grid. The prediction method ensures high level performances in terms of prediction accuracy and it can be easily implemented even when limited computational and data storage resources are available.

The invention relates to the technical field of unmanned aerial vehicle energy management, and discloses an unmanned aerial vehicle autonomous tracking charging scheduling method and system, and the method comprises the steps: carrying out the environment feature perception of an operation region, and building a multi-mode sensor monitoring network; collecting operation parameters of the unmanned aerial vehicle and generating parameter dynamic characteristic data; constructing a parameter-demand response relation model, and analyzing electric energy consumption characteristics and charging demands; identifying a charging influence area based on the endurance guarantee dynamic characteristics, and generating demand effect coupling data; and dynamically planning a charging path by using a machine learning model, and optimizing operation parameters. The system comprises an environment sensing module, a state acquisition module, a scheduling prediction module, an influence evaluation module and a control feedback module. According to the invention, the dynamic and intelligent charging scheduling of the unmanned aerial vehicle is realized, the cruising ability and the operation efficiency are improved, and the method is suitable for the autonomous tracking task of the unmanned aerial vehicle in a complex environment.

The invention provides a state transmission method, a screening method, a screening system and a medium for vehicle-end equipment, the state transmission method is applied to vehicles, each vehicle comprises a battery replacement controller, and the state transmission method comprises the following steps: when an automatic wake-up function is started, if the continuous sleep duration is greater than a preset first duration threshold, the battery replacement controller starts the automatic wake-up function, and if the continuous sleep duration is greater than the preset first duration threshold, the battery replacement controller starts the automatic wake-up function; and if yes, automatically waking up and sending a login message to the Internet of Vehicles platform, so that the Internet of Vehicles platform obtains the online state of the vehicle end. According to the invention, the Internet of Vehicles platform screens out the vehicle with overlong offline time as the target vehicle according to the receiving time point of the login message of each vehicle to carry out abnormity tracking and troubleshooting, and the automatic wake-up function of the battery replacement controller is utilized to reduce the consumption of electric energy of the vehicle, so that the power consumption of the vehicle is reduced. On the basis that the electric energy consumption of the vehicle is not increased basically, the range of the vehicle needing to be tracked and checked is efficiently and quickly narrowed, the checking time and the workload of after-sales maintenance can be greatly shortened, and quick tracking and response of vehicle end equipment faults are facilitated.

The low-energy-consumption vacuum-pumping system of the coating machine comprises a coating vacuum chamber, a fine suction pump assembly, a pre-suction pump assembly and a maintaining pump assembly, the coating vacuum chamber is provided with a vacuum-pumping opening and an inflation opening, the inflation opening is provided with an inflation valve, the fine suction pump assembly comprises a first molecular pump, and the pre-suction pump assembly comprises a second molecular pump. A high-pressure valve set used for controlling connection and disconnection is connected between the first air inlet end and the vacuumizing opening. A rough pumping valve set is connected between the second air inlet end and the vacuumizing opening, and a preceding-stage valve set is connected between the second air inlet end and the first exhaust end. The maintaining pump assembly comprises a second molecular pump and a maintaining pump body which are sequentially connected in the gas circulation direction, and the third gas inlet end communicates between the first gas exhaust end and the gas inlet side of the preceding-stage valve set. And the electric energy consumption is greatly saved.

The invention belongs to the technical field of building energy management, and particularly relates to an energy management system and method based on big data analysis, an air supply control model is constructed by collecting a passenger flow gathering boundary and azimuth temperature in an air conditioner air outlet coverage area according to time periods, and an air supply range is delimited by a passenger flow boundary; gradient air supply simulation is performed in combination with the limit value and the appropriate temperature difference, and the reference electric energy consumption is estimated according to the simulation result, so that refined and dynamic reference electric energy consumption determination is realized, and each time period has an energy consumption reference matched with the actual demand; meanwhile, when abnormity identification is carried out based on the reference electric energy consumption, by comparing the deviation between the reference electric energy consumption and the actual electric energy consumption in the same temperature control environment and different temperature control environments, the limitation of single threshold value judgment is broken through, multi-period comparison under the same working condition is supported, the operation performance of the air conditioner in various temperature control environments is comprehensively considered, and the method is suitable for popularization and application. Therefore, stable and accurate anomaly recognition in multiple scenes is realized, and the false alarm rate is remarkably reduced.

The invention discloses a low-light power generation hardware management system of a smoke alarm, and relates to the technical field of low-light power generation of smoke alarms, and the system comprises a micro-control module which controls a first conversion module and a second conversion module to carry out power adjustment, electric energy superposition and electric energy bootstrap on electric energy generated by a photovoltaic module. The stage detection module carries out voltage detection of four different stages on the photovoltaic module so as to control the first conversion module and the second conversion module to independently supply power according to different voltage stages, and the transmission module controls the first conversion module and the second conversion module to carry out electric energy superposition. And controlling the first conversion module, the second conversion module and the battery control module to carry out electric energy superposition, and controlling the battery control module to directly supply power when no light exists or a smoke alarm occurs. According to the low-light power generation hardware management system of the smoke alarm, the utilization rate of photovoltaic electric energy can be improved, the electric energy consumption of the battery control module is reduced, the cruising ability is improved, the power utilization requirement is met, and the power supply efficiency is improved.

The utility model discloses a vacuum suction mechanism which comprises a vacuum valve and a suction cup arranged at the lower end of the vacuum valve. The vacuum valve comprises a valve body provided with a valve cavity penetrating in the axial direction, an electromagnetic head arranged above the valve body and a self-locking valve element arranged in the valve body. The valve body comprises an outer shell and a valve cover plate mounted at the lower end of the outer shell, and an inner cavity of the outer shell is communicated with an inner cavity of the valve cover plate to form the valve cavity; the self-locking valve element comprises a valve rod movably arranged in the valve cavity in a penetrating mode and a self-locking mechanism matched with the valve rod and used for locking the position of the valve rod, the valve rod is provided with a vacuum cavity, one end of the vacuum cavity is communicated with an external air source through an air guide part, and the other end of the vacuum cavity is connected with the suction cup. When the self-locking mechanism locks the position of the valve rod, the electromagnetic head is powered off, the air guide part and the vacuum cavity can still keep communicating, and the electromagnetic coil is powered off after the vacuum valve is opened, so that the electric energy consumption can be obviously reduced, and the service life of equipment can be prolonged.

The invention relates to the technical field of energy management, in particular to a coking enterprise electric energy metering management method, which comprises the following steps of: forming a matrix metering network through an electric meter, a current sensor and a process control system deployed by a sensing layer; preprocessing the collected electric energy data through an edge computing gateway of the network layer and transmitting the electric energy data to the platform layer; the platform layer stores the electric energy data, performs correlation analysis in combination with the production data, and is used for completing dynamic calibration and peak-valley power consumption optimization; three-level electric energy metering management is completed in an application layer, and electric energy consumption, energy efficiency benchmarking and abnormal alarm information are displayed through a visual platform. The method has the advantages that step-by-step energy consumption monitoring and management from a whole plant to a workshop section to equipment are realized, links and equipment with high energy consumption can be accurately positioned, and a basis is provided for targeted energy-saving measures; and each level is clear in metering, and energy consumption indexes are decomposed layer by layer and are implemented to specific working sections and equipment, so that each level is clear to own energy consumption conditions.

The invention discloses an automatic testing method and system for energy consumption and driving of a pure electric vehicle, and belongs to the technical field of vehicle testing, and the method comprises the steps: obtaining a theoretical working condition curve of the energy consumption and driving testing of the pure electric vehicle; according to the theoretical working condition curve, carrying out energy consumption and driving initial test on the vehicle; obtaining the electric energy consumption and the driving range of the vehicle in the CSSM stage, the electric energy consumption and the driving range of the vehicle in the CSSE stage and the total electric energy consumption of the initial test vehicle in the initial test process; determining a target driving mileage of the vehicle in the CSSM stage according to the electric energy consumption, the driving mileage, the electric energy consumption of the vehicle in the CSSE stage, the driving mileage and the total electric energy consumption of the vehicle tested for the first time; updating the theoretical working condition curve; and the updated working condition curve is used for carrying out energy consumption and continuous driving re-testing on the vehicle. Therefore, the vehicle energy consumption and driving test are ensured to meet related regulations, and the efficiency and accuracy of working condition curve determination are improved.

The invention discloses a tire pressure monitoring and early warning method, system and device after vehicle power-off and a storage medium, and the method comprises the steps: obtaining TPMS data, determining the current tire pressure and current temperature of a target tire, and continuously recording a tire pressure change curve and a temperature change curve; when the current tire pressure is lower than the tire pressure threshold value, and / or the current temperature is lower than the temperature threshold value, the vehicle control unit is awakened, so that the vehicle control unit enters a dormancy state after sending TPMS early warning information to the user terminal; inputting the tire pressure change curve and the temperature change curve into a tire air leakage identification model to obtain an air leakage identification result of the target tire; when the target tire leaks air, the vehicle control unit is awakened again, so that the vehicle control unit sends a tire air leakage alarm to the user terminal; and when the target tire does not leak air, sending the tire pressure change curve and the temperature change curve to a user terminal through the vehicle control unit after the vehicle control unit is actively awakened by a user. The electric energy consumption of tire pressure monitoring and early warning after the vehicle is powered off is reduced, and the method can be applied to the technical field of vehicle monitoring.

The invention discloses a water pump energy efficiency optimization method and system, relates to the field of water pump energy efficiency optimization, is used for optimizing electric energy consumption of a water pump and further improving the energy-saving effect, and comprises the following steps: collecting operation parameters of the water pump; based on the operation parameters, an actual performance model of the water pump is periodically reconstructed; the actual performance model reflects a lift-flow relation and a power-flow relation of the water pump at different rotating speeds; according to the current target working condition and the actual performance model, optimal operation parameters of the water pump are calculated; and adjusting the operation of the water pump according to the optimal operation parameters.

The invention relates to the technical field of refrigeration, in particular to a refrigerator self-adaptive energy-saving control system based on multi-mode perception, which comprises a data acquisition module, a refrigeration regulation module, a wind power auxiliary module, an air pressure auxiliary module and a data processing module, the data acquisition module is used for capturing temperature distribution, humidity conditions and air pressure conditions in the refrigerator and sending the data information to the data processing module. By arranging the thermal camera and the wind power auxiliary module, the thermal camera captures the position of an ice layer, the draught fan is aligned with the ice layer, sublimation of the surface of the ice layer is accelerated through air flowing, and when air passes through the surface of the ice layer, heat can be transferred to the ice layer with the lower temperature due to work of the evaporator; and the temperature of flowing air is reduced while ice layer disappearance is accelerated, so that the electric energy consumption of the refrigeration adjusting module is reduced, and the refrigeration quality is improved.

The invention relates to a self-adaptive defrosting control method of a heat pump system and the heat pump system.The minimum defrosting interval time is determined by monitoring the outer side temperature TPG of an evaporator coil, the outer side relative humidity RHPG of the coil, the environment temperature TH and the environment relative humidity RH, and the minimum defrosting interval time is corrected by monitoring the rain and snow conditions of the place where the heat pump system is located; and defrosting control is carried out by adopting the corrected minimum defrosting interval time, and the optimal regular defrosting time can be adaptively set for the heat pump system according to the environment and the weather condition of the place where the heat pump system is located. The self-adaptively generated regular defrosting time is the corrected minimum defrosting interval time, so that the negative influence of a frost layer on the heat transfer performance of the evaporator can be effectively reduced, and stable operation of equipment is kept; electric energy consumption can be reduced and energy utilization rate can be increased; mechanical loss can be avoided, and the overall service life of the heat pump system is prolonged.

Methods and systems for controlling a temperature of an electric energy storage device of via a cooling device are disclosed. In one example, a temperature of an electric energy storage device may be permitted to increase when a vehicle is within a threshold distance of an expected parking location of the vehicle so that less electrical energy of the electric energy storage device may be consumed.