8 results about "Fast charging station" patented technology

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.

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.

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.

The application is suitable for the electric vehicle thermal management field, and provides a power battery pre-cooling closed-loop decision method and device for fast charging, which comprises the following steps: obtaining the state information of the vehicle, candidate fast charging station, power battery, environment, passenger cabin and thermal management system; determining the target fast charging station; predicting the SOC of the power battery at the station; solving the target pre-cooling temperature at the station according to the predicted arrival time, the SOC at the station, the candidate power battery temperature at the station, the fast charging time, the pre-cooling energy consumption and the comfort influence of the passenger cabin; generating the power battery temperature reference track according to the temperature, and tracking control is performed on the actuators such as compressors, cooling liquid pumps, fans and valves through the hierarchical controller; and the target fast charging station, the SOC at the station, the target pre-cooling temperature at the station and the control amount are updated according to the state change, and closed-loop re-planning is formed. The application can shorten the fast charging time, comprehensively optimize the fast charging benefit, the pre-cooling energy consumption and the comfort of the passenger cabin, and has good working condition adaptability.

This utility model discloses a mobile supercapacitor fast charging station device for unmanned mining equipment, relating to the field of mobile charging technology for mining equipment. The device includes support plates, a dust blowing mechanism, and a dust removal mechanism. Two sets of support plates are arranged directly above each set, with a charging compartment fixedly installed on top of the two support plates. A cleaning compartment is fixedly installed on the front outer surface of the charging compartment, also fixedly installed on top of the two support plates. Through the cooperation of the cleaning compartment, dust blowing mechanism, and dust removal mechanism, this mobile supercapacitor fast charging station device isolates the charging pile inside the charging compartment from the outside environment. Furthermore, it ensures that the unmanned mining equipment is cleaned within the cleaning compartment before entering the charging compartment, preventing dust contamination of the charging pile and improving the device's practicality.

The application belongs to the technical field of charging scheduling, and proposes a charging scheduling method and system for electric vehicle fast charging stations based on safety reinforcement learning. A state-by-state safety value function based on a control barrier function is proposed to ensure that constraints are formally enforced during the entire training and execution process. The state-by-state neural network method based on Lagrange can adaptively balance reward maximization and safety protection. This method effectively reduces peak demand during high load periods while achieving zero voltage violations.

The application provides a power distribution network load characteristic analysis management method and system containing an ultra-fast charging station, comprising the following steps: clustering and load analysis of each power supply unit in the power distribution network by using the historical load data and land use properties of each power supply unit to obtain a general load scenario model of each power supply unit; based on the historical load data, performing load curve similarity analysis and clustering on the ultra-fast charging station, and performing typical load characteristic analysis on the clustering results to generate a specific load scenario model of each ultra-fast charging station; inputting the current operating parameters of each power supply unit and the corresponding general load scenario model into a load prediction model to generate a load prediction value, and similarly generating a load prediction value of the ultra-fast charging station, and generating a dispatching instruction according to the load prediction value; the scheme differentiates load scenario modeling, and inputs the load scenario model into the prediction model to provide prior knowledge for prediction, thereby improving the prediction accuracy and providing accurate data basis for dispatching analysis.

The invention relates to a charging station (1), in particular a fast charging station for a motor vehicle (6) with an electrical energy storage device, comprising a power supply unit (2) connected to a mains supply, a charging cable (4), and a charging plug (5) complementary to a charging socket (10) of the motor vehicle (6). To simplify the insertion of the charging plug (5) into the charging socket (10), particularly with a heavy charging cable (4), the power supply unit (2) has a support arm (7) that receives the charging cable (4) and allows the charging plug (5) to be displaceably positioned within a predetermined distance from the power supply unit (2).