89 results about "Fast charging station" patented technology

An electric vehicle charging station for charging electric vehicles includes a plurality of energy storage reservoirs configured to receive and store energy from one or more power sources and / or one or more power generators; one or more power heads for charging the electric vehicles at the electric vehicle charging station, the multiple power heads receiving electrical power from the plurality of energy storage reservoirs, the multiple power heads each being configured for releasably connecting to each of the electric vehicles for charging at the electric vehicle charging station; and a computer control system configured to monitor a charging demand at each of the one or more power heads and to connect one or more of the plurality of energy storage reservoirs to one or more of the power heads based on the charging demand of the one or more power heads.

The invention discloses an intelligent load balancing energy-saving control system and method for a fast charging station, and belongs to the technical field of power distribution of the fast charging station, and the method comprises the steps: carrying out the load imbalance trend prediction based on the operation data of a battery changing cabinet and the data of a vehicle battery which is being charged, and when the potential imbalance trend of the fast charging station is monitored, carrying out the control of the intelligent load balancing energy-saving control system; constructing a power distribution model, adjusting the power distribution of the power conversion cabinet, setting a trigger condition of a dynamic adjustment power distribution scheme, and dynamically adjusting the power distribution of the power conversion cabinet; according to the received power distribution instruction, adjusting the output power of the battery changing cabinet, formulating a user guiding strategy according to the current power distribution scheme, and dynamically adjusting the charging and discharging process of the energy storage battery based on the power grid load data of the rapid charging station and the charge state of the energy storage battery; the invention aims to solve the problems of difficulty in prediction of unbalanced load, difficulty in dynamic adjustment of power distribution, lack of user guiding strategies and the like in the quick charging station and realize intelligent load balancing and energy-saving operation of the quick charging station.

An electric vehicle (EV) charging station for fast charging (e.g. 5 to 15 minutes) an electric vehicle (EV). The EV charging station can be configured to include one or more energy storage device comprising multiple electric reservoir modules.

The invention discloses a new energy automobile charging pile multi-dimensional data fusion monitoring and early warning method and system, and relates to the technical field of new energy automobile charging safety monitoring and control. The new energy vehicle charging pile multi-dimensional data fusion monitoring and early warning method comprises the following steps: S1, constructing a charging state original data set, and preprocessing the charging state original data set; s2, performing early warning grade division in combination with a disturbance trend analysis result and discriminator output; s3, a response control condition is matched according to the early warning level state; and S4, recording the operation structured data of the charging pile, constructing an event chain, and comparing the current and historical features to identify the coincidence degree. The problem that due to the complex operation working conditions of high-frequency plugging, large day and night temperature difference and heavy environmental dust of a new energy automobile charging pile in an urban fast charging station, an existing monitoring method cannot achieve multi-dimensional sensing and dynamic adjustment, and then abnormal early warning lags is caused is solved.

The present invention discloses a fast charging station planning method, system, device and medium applicable to multiple scenarios. The area to be planned is divided into multiple scenarios to be planned, and the number of fast charging piles in each scenario is quantified according to the charging demand data of multiple types of electric vehicles in each scenario to be planned. The fast charging station demand data in each scenario is quantified by combining the capacities of the fast charging piles in various scenarios. The points with the conditions for building charging stations in various scenarios are used as candidate sites to construct candidate site sets in various scenarios, and several candidate sites are selected from them to form multiple site combinations, so as to construct site combination optimization models in various scenarios based on these site combinations. The optimization algorithm is used to solve these site combination optimization models to obtain the best site combination and combine them to generate a fast charging station planning scheme for the area to be planned for execution. By distinguishing the charging demands in different scenarios and the points with the conditions for building fast charging stations, the layout of fast charging stations can be realized reasonably and scientifically.

The invention discloses a fast charging station planning method based on urban dynamic traffic demand prediction and correction, and relates to the technical field of electric vehicle fast charging station planning, and the method comprises the steps: S1, constructing a traffic topology connection matrix according to urban road network topology, and recognizing traffic hub nodes and long-distance nodes as candidate nodes; s2, proposing three dynamic factors including social demands, user public praise and demand elasticity, and correcting the electric vehicle traffic demand prediction value of each path unit; s3, constructing a multi-target fast charging station capacity optimization model taking the minimum planning total cost and prediction error as targets, wherein the multi-target fast charging station capacity optimization model comprises fast charging station self constraints and power grid adaptation constraints; s4, solving the model by adopting a non-dominated genetic sorting algorithm to obtain a Pareto solution set, and selecting a planning result according to the demand of a decision maker; according to the method, the problems of blind site selection and static demand prediction in traditional planning are solved, economy and power grid safety are considered, planning scientificity and decision-making flexibility are improved, and supply and demand of charging resources can be effectively balanced.

An electric vehicle (EV) charging station for fast charging (e.g. 5 to 15 minutes) an electric vehicle (EV). The EV charging station can be configured to charge multiple EVs and multiple conventional vehicles at the same time. The EV charging station can include a power source, an electric reservoir receiving power from the power source, an AC to DC power converter for receiving AC power from the power source and converting the AC power to DC power for supplying DC power to the electric reservoir, an EV charger receiving DC power from the electric reservoir; and a first DC to DC converter receiving DC power from the electrical reservoir and converting the DC power to DC power suitable for charging the electrical vehicle.

The invention discloses a mobile charging pile control system based on artificial intelligence, and relates to the technical field of intelligent charging, and the system constructs a real-time power grid load state diagram, combines the operation state data of a fast charging station and power grid sensing information, dynamically models the power grid load distribution and transmission capability, and improves the power grid load distribution and transmission capability. A Gaussian function is introduced into the state diagram to quantify the influence of the fast charging station on the node load, and a traditional power transmission capability model is improved, so that the power grid state expression is more intuitive; a load state diagram is processed through a graph neural network GNN, spatio-temporal evolution characteristics of a load are captured, a load change trend and a regulation level of each node in a future short time period are predicted, a multi-target optimization algorithm is adopted to formulate a preliminary regulation strategy based on a load prediction diagram, and the purposes of relieving a peak-valley difference, reducing energy loss and improving the service capability of a fast charging station are achieved. And an optimization problem is solved through a genetic algorithm, so that the globality and effectiveness of a regulation and control strategy are guaranteed.

The invention relates to a method for operating a temperature control device (T) of an electrical energy storage device (1) of a vehicle (2), wherein a refrigerant circuit (KK) of a vehicle air conditioning system for temperature control of a vehicle cabin (2.1) is thermally coupled to a temperature control circuit (TK) for temperature control of the electrical energy storage device (1) by means of a refrigerant-coolant heat exchanger (3).According to the invention, if it is detected on the vehicle side based on a predetermined navigation destination and / or based on satellite-based positioning data that the vehicle (2) is approaching a rapid charging station for charging the electrical energy storage device (1) or that the vehicle (2) is in the immediate vicinity of a rapid charging station and an outside temperature is above a predetermined temperature value, a refrigerant compressor (4) provided in the refrigerant circuit (KK) for conveying a refrigerant, a conveying unit (5) provided in the temperature control circuit (TK) for conveying a coolant and the refrigerant-coolant heat exchanger (3) remain and / or are activated for a predetermined period of time. The invention further relates to a device for operating the temperature control device (T).

The invention discloses an integrated charging method, system and equipment based on methanol fuel power generation, and belongs to the technical field of new energy automobile charging facilities. According to the scheme, the control system, the fuel storage and supply module, the methanol power generation module, the energy storage buffer module, the 40KW direct current quick charging module, the energy management unit, the mute box body and the like are highly integrated, so that the emergency quick charging service independent of a power grid is realized. The core innovation lies in that the energy management unit is adopted to dynamically coordinate power generation and charging requirements, comprehensive mute design and comprehensive safety protection are combined, and the problems that an existing fast charging station depends on a power grid, a traditional standby power supply is large in noise and high in pollution, hydrogen fuel facility cost is high, and the system integration degree is low are solved. The system has the advantages of being clean, efficient, low in noise and rapid in deployment, and the electric vehicle charging requirements of remote areas, weak power grid areas and emergency scenes can be met.

The invention relates to a fast charging station for electric vehicles, wherein the fast charging station (1) has a control unit (5) and a power converter arrangement (4) for converting an alternating voltage as input voltage of the fast charging station (1) into a direct voltage as output voltage of the fast charging station (1), wherein the power converter arrangement (4) has two mutually exclusive operating states, a first and a second operating state, which can be set by the control unit (5) on the power converter arrangement (4), wherein the power converter arrangement (4) covers different output voltage ranges in the operating states, wherein the control unit (5) evaluates communication with an electric vehicle connected to the fast charging station (1) and / or measured values ​​relating to the electric vehicle and thus obtains battery parameters and sets the operating state depending on the battery parameters.It is proposed that the output voltage ranges of the two operating states overlap in an overlap region (9), that the battery parameters include an actual charging voltage (7), and that when the actual charging voltage (7) is in the overlap region (9), the control unit (5) selects one of the operating states to charge the electric vehicle, depending on the battery parameters.

The invention relates to a rapid charging station for electric vehicles (2), wherein the rapid charging station (1) has a plurality of power modules (4), wherein the power modules (4) each have a power converter arrangement (5), in particular for converting an alternating voltage as the input voltage of the rapid charging station (1) into a direct voltage as the output voltage of the rapid charging station (1), wherein the power modules (4) have output connections (6) at which the power module (4) delivers electrical power with regulated output parameters, wherein the output connections (6) of at least two power modules (4) are connected in parallel to form a first group (7) for delivering electrical power to at least one connection point (3) of the rapid charging station (1).It is proposed that the first group (7), in particular always exactly, has a primary module (9) and at least one secondary module (10), that the power modules (4) each have a control module (11) which controls the power converter arrangement (5) of the respective power module (4), that the control module (11) of the primary module (9) takes over an overall control for the connection point (3), that the control module (11) or the control modules (11) of the secondary module (10) or the secondary modules (10) control at least one of their output parameters.

The invention relates to a rapid charging station for electric vehicles (2), wherein the rapid charging station (1) has a plurality of power modules (4), wherein the power modules (4) each have a power converter arrangement (5), in particular for converting an alternating voltage as the input voltage of the rapid charging station (1) into a direct voltage as the output voltage of the rapid charging station (1), wherein the power modules (4) have output connections (6) at which the power module (4) delivers electrical power with regulated output parameters, wherein the output connections (6) of at least two power modules (4) are connected together, in particular in parallel, to form a first group (7) for delivering electrical power to at least one connection point (3) of the rapid charging station (1).It is proposed that the rapid charging station (1) has an overall sensor (9) for the connection point (3) assigned to the first group (7), which overall sensor measures an output parameter of the connection point (3) and outputs it as a sensor signal, that the sensor signal is transmitted to a primary module (10) of the first group (7), that the primary module (10) has a module sensor (11) for the same output parameter, which measures the output parameter as an output parameter of the power module (4), and that the primary module (10) uses the sensor signal to control one of its output parameters.

The invention belongs to the technical field of electrical system operation optimization and control, and discloses an online cooperative operation real-time control method for an electric vehicle quick charging station equipped with battery energy storage. The optimization model is subjected to space-time decoupling by establishing an online collaborative operation optimization model. In the off-line training stage, each quick charging station and battery energy storage train a value function in a dynamic planning algorithm based on historical data; in the online scheduling stage, each quick charging station and battery energy storage decide an optimal operation action based on current observation information, and information such as future charging load does not need to be predicted. The offline training process and the online decision-making process are both based on an analytic expression, a complex calculation process is not needed, the offline training process and the online decision-making process are both executed in a distributed mode, and the data privacy of each quick charging station and the expandability of an algorithm are guaranteed. A dynamic programming algorithm and a consistency algorithm are combined, and the online cooperative operation problem of a plurality of rapid charging stations with highly random charging loads is effectively solved.

The present application relates to the technical field of bus charging, in particular to a bus fast charging station orderly charging method based on a data-driven energy efficiency model; first, the power demand meeting the operation of a bus line is determined, and then a relationship between charging energy conversion efficiency and the actual charging power of a vehicle-mounted energy storage system is established; taking the minimum actual power consumption of the charging station in a day or the minimum actual electricity cost of the charging station in a day as an objective function, wherein the charging energy conversion efficiency is considered, a nonlinear optimization objective function model is established with the power demand of the electric bus line operation, the continuity of the electric bus charging time as constraint conditions, then the nonlinear optimization objective function model is converted into a mixed integer convex programming problem using piecewise linearization, and the optimal charging plan is obtained by solving the mixed integer convex programming problem; the present scheme can further improve the energy conversion efficiency of charging on the basis of traditional orderly charging, reduce the power consumption cost of the charging station operator and the charging cost of the electric bus, and improve the economy.

The invention relates to a rapid charging station for electric vehicles, comprising at least one power module (2), wherein the power module (2) comprises power electronics, in particular a current transformer, wherein the power module (2) is secured in a mounted position in the rapid charging station (1) via a fastening arrangement (3). It is proposed that the fastening arrangement (3) comprise a pivot bearing (9) via which the power module (2) is pivotably secured, such that the power module (2) can be pivoted between the mounted position and a maintenance position.

The invention discloses a fast charging station coordination control method considering an electric vehicle, and belongs to the field of stable operation of a direct current fast charging station, and the method comprises the steps: S1, building a topological structure of the fast charging station; s2, calculating the clearance and lack power; s3, dividing operation modes; s4, dividing the charge state of energy storage and an electric vehicle group; s5, the stored energy in each operation mode and the target compensation power of the electric vehicle are obtained; s6, whether the target compensation power needs to be optimized or not is judged, if yes, the step S7 is executed, and if not, the target compensation power obtained in the step S5 is output; and S7, determining the target compensation power of the energy storage and electric vehicle after optimization. By adopting the fast charging station coordination control method considering the electric vehicle, coordination control in different scenes is realized, the alternating current bus frequency and the direct current bus voltage are recovered to rated values, meanwhile, the charge state of energy storage can be balanced, and the stability of the bus voltage and frequency of the fast charging station is further improved.

The invention relates to a welding tool for construction of a quick charging station. The welding tool comprises a bearing table, a welding machine and a recycling tank. A support is arranged on the bearing table, the welding machine is placed on the bearing table, and the recycling tank is arranged on the bearing table. A pair of positioning frames is arranged at the edge of the front end of the bearing table; the lower part of the recovery tank is provided with a discharge channel, the lower half section of the recovery tank is internally provided with a treatment module, the edge position of the lower part of the recovery tank is in butt joint with a long channel, the upper part of the recovery tank is fixedly connected with a short channel, and the short channel is internally provided with a fan. According to the welding tool for construction of the rapid charging station, the treatment module, the atomization module, the regulation and control module and the wire stripping module which are integrated in the recovery tank work cooperatively, smoke generated by welding is blocked in batches, turbulent flow is generated, liquid beads are gathered, and pollution media are captured through structures such as a grating frame, a bifurcated dredging frame and an atomization ring, it is ensured that the smoke is efficiently treated, and the welding efficiency is improved. And environmental sanitation in the charging station is ensured.

A method is provided for charging a vehicle (10) with high-voltage components (11) at a fast-charging station (20). The method includes ascertaining a prevailing noise level around the vehicle (10) while operating noise (21) produced by the vehicle (10) itself during charging is suppressed. The method continues by determining a volume of the operating noise (21) that is tolerable for the driver (22) and bystanders (23) depending on the noise level and a measured distance of a vehicle key (24) from the vehicle (10). The method proceeds by cooling the high-voltage components (11) of the vehicle (10) that are heated by charging so that the operating noise (21) caused by the cooling is limited to the tolerable volume.

To provide an electric vehicle (EV) charging station for fast-charging an electric vehicle (EV) (e.g., charging in 5 to 15 minutes).SOLUTION: A fuel / electric station is an EV charging station to charge multiple EVs and multiple conventional fuel type vehicles at the same time, and comprises: a power source; an electrical service receiving power from the power source; a primary electric reservoir 26-1 receiving power from the electrical service; a secondary electric reservoir 26-2 receiving power from the primary electric reservoir; a tertiary electric reservoir 26-3 receiving power from the secondary electric reservoir; and an EV charger 12A receiving power from the tertiary electric reservoir.SELECTED DRAWING: Figure 16

The present invention discloses an electric vehicle guiding method and system applicable to urban rapid charging stations, belonging to the field of urban electric vehicle charging guidance. Based on establishing a queue model of rapid charging stations in the area to describe the spatial distribution of electric vehicles, the present invention evaluates the stability degree of the charging station queue through the Lyapunov function; then, based on the Lyapunov optimization theory, the user dissatisfaction degree is introduced as a penalty function into the optimization process, and by constructing the form of a drift-penalty term function, an electric vehicle guiding decision model is established. The proposed model fully considers the compliance willingness of electric vehicle owners. By guiding the electric vehicles, the charging congestion situation of the rapid charging stations is effectively alleviated, the number of electric vehicles waiting inside the rapid charging stations is reduced, the time-consuming of the electric vehicle charging process is reduced, and the charging satisfaction of the vehicle owners is improved.

The invention discloses a gas-liquid separation and liquid preparation control method and system for a two-phase immersion liquid cooling fast charging station, and relates to the technical field of two-phase cooling and heat management. The gas-liquid separation and liquid preparation control method and system for the two-phase immersion liquid cooling fast charging station comprises the following steps: S1, constructing a cooling flow data set, and preprocessing the cooling flow data set; s2, judging the dry state of steam output by the liquid phase removal structure; s3, identifying the deviation degree between the flow of each branch and the average flow; and S4, the load state reflected by the deviation adjustment result of the branch liquid preparation is combined. The problem that hot spots are difficult to restrain due to the phenomena that gas-liquid separation of a two-phase or liquid cooling loop is unstable and branch liquid distribution is unbalanced under constant-current and constant-voltage switching and rapid load fluctuation in a quick-charging multi-pile parallel structure is solved.

This solution addresses the drawbacks of large-scale fast-charging stations equipped with multiple fast-charging devices, such as the limitation of each fast-charging device only being able to charge at designated locations or being limited to a power output below that of each device. [Solution] By connecting the outputs of multiple fast chargers to their respective busbars and then connecting any two busbars to a single charging cable, double-speed charging is made possible.

The invention relates to a charging station for electric vehicles (2), in particular a fast charging station (3) for electric vehicles (2), wherein the charging station (1) comprises a station housing (4) and at least one station component (5), in particular at least one power module (6) with power electronics (7), wherein the station component (5) is arranged inside the station housing (4), wherein the station housing (4) has a maintenance opening (8) through which the station component (5) can be serviced inside the station housing (4), and a maintenance flap (10), wherein the maintenance flap (10) releases the maintenance opening (8) during an opening process and closes the maintenance opening (8) during a closing process, wherein the charging station (1) has a network unit (11) through which a maintenance network (9) can be provided for connecting the charging station (1) to a maintenance device.It is proposed that the opening process of the maintenance hatch (10) triggers a power-on routine and that, during the power-on routine, the maintenance network (9) is established by the network unit (11).

To solve a problem in which the spread of EVs is to inevitably necessitate the installation of large-scale quick-charging stations, and therefore, when the conventional method of simply increasing the number of individual quick-charging devices is used, there is to be situations in which, even when there are charging devices that are not charging, there is to be situations in which people have to wait for charging depending on in which they are parked.SOLUTION: When additional quick-charging equipment is installed, the output is first sent to a bus line, the EVs are allowed in multiple vehicle compartments to be charged from that bus line.SELECTED DRAWING: Figure 6

The invention provides a method and device for identifying differentiated preferences of users of a quick charging station, and belongs to the field of electric vehicle load flexibility evaluation and the field of electric vehicle load regulation and control. The method comprises the following steps: collecting multi-source data related to quick charging station selection, including quick charging station data, quick charging user data and quick charging order data; based on the multi-source data, obtaining an alternative charging station set corresponding to each quick charging order and an attribute of each quick charging station in the alternative charging station set, wherein the attribute affects user selection; and based on the attributes, establishing an optimization model for user differentiation preference identification and solving the optimization model to obtain attribute preference weights of the users so as to complete identification of the user differentiation preferences of the rapid charging station. According to the method, through accurate identification of user differentiation preferences, a charging station operator can be helped to optimize charging load distribution in urban-level rapid charging station load flexibility management.

The invention relates to a fast charging station for electric vehicles, wherein the fast charging station (1) has a power converter arrangement (9) for converting an alternating voltage as input voltage of the fast charging station (1) into a direct voltage as output voltage of the fast charging station (1), wherein the power converter arrangement (9) has at least one energy storage device (10).It is proposed that the converter arrangement (9) has a discharge circuit (12) connected to the energy storage device (10) for discharging the energy storage device (10), that the discharge circuit (12) is in a discharged state by default in which the energy storage device (10) is discharged via the discharge circuit (12), that the discharge circuit (12) is actively brought into an inactive state by a control unit (15) during operation of the converter arrangement (9) in which the discharge circuit (12) does not discharge the energy storage device (10), and that the discharge circuit (12) automatically enters the discharged state in the event of a failure, in particular an emergency shutdown, of the control unit (15).

The invention belongs to the technical field of vehicle network interaction, and relates to a super fast charging station scheme comparison and selection method under power grid capacity constraint, which comprises the following steps of: iteratively simulating a user arrival rule and a vehicle charging process of a super fast charging station by adopting a Monte Carlo method, and synthesizing a typical daily charging load curve of the station; based on the typical daily charging load curve, respectively establishing configuration measurement and calculation models of the transformer and the battery energy storage system under the various solutions, and determining power grid capacities under the various solutions through the configuration measurement and calculation models; based on the power grid capacity, a double-layer optimization model of the transformer and the battery energy storage system is constructed, and optimal configuration parameters of various solutions are solved through the double-layer optimization model; establishing a comparison and selection matrix based on the optimal configuration parameters, performing comprehensive comparison and selection on the two solutions coping with the power grid capacity constraint by adopting a normalization and weighted scoring method, and outputting a storage and charging optimal configuration scheme of the super fast charging station; and the deployment problem caused by power grid capacity limitation of the existing super fast charging station is solved.

The invention belongs to the field of power control, and relates to a dynamic load prediction-based super fast charging network adaptability regulation and control method and system, and the method comprises the steps: carrying out the fusion collection and preprocessing of multi-source heterogeneous data, and the multi-source heterogeneous data comprise internal and external data which affect the load of a super fast charging station; based on the preprocessed multi-source heterogeneous data, constructing and training a dynamic load prediction model, and performing load prediction; performing power grid real-time state sensing and power supply capability evaluation; generating a power grid regulation and control instruction set by taking multi-objective optimization as a core based on a load prediction result and a power supply capability evaluation result; issuing the power grid regulation and control instruction set to each charging pile and system, and converting the power grid regulation and control instruction set into specific equipment actions; and performing regulation and control efficiency evaluation and model adaptive optimization. The load change rule can be mastered, the power grid operation risk is effectively reduced, power resources are reasonably distributed, the charging efficiency is improved, and the overall operation level and economic benefits of the super fast charging network can be improved.

This application relates to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for estimating the energy metering error of fast charging stations. The method includes: acquiring charging order data from multiple fast charging stations; segmenting the charging order data into data segments and supplementing the information in the resulting segments; removing interfering data segments and performing stability screening on the data segments based on the corresponding battery pack energy density; constructing a reference charging station cluster based on the remaining data segments, and constructing a metering performance comparison chain based on the reference charging station cluster; and deriving the energy metering error of each fast charging station in the metering performance comparison chain based on the constant characteristic of battery pack energy density. This method can improve the detection efficiency of energy metering.