18 results about "Battery scheduling" patented technology

The invention relates to a new energy automobile battery swap station battery dispatching method with a battery health detection function. The method comprises the steps of battery health detection model establishment, real-time detection and data synchronization, real-time detection and data synchronization and dispatching instruction execution and feedback. The method has remarkable advantages in the aspect of battery health detection, the battery state can be judged more accurately through multi-parameter fusion monitoring and intelligent algorithm analysis, compared with a traditional detection method, the detection accuracy is improved, potential problems can be captured in time through comprehensive analysis of multiple parameters, and after the potential problems of the battery are found in advance, the detection accuracy is improved. According to the method, corresponding maintenance measures can be taken, so that the service life of the battery is prolonged, the replacement cost of the battery is reduced, the use efficiency and economy of the battery are effectively improved, the operation of the battery replacement station can be remarkably optimized through a reasonable battery scheduling strategy, accurate scheduling can be performed according to user requirements and battery states, and the waiting time of users is shortened.

The invention discloses a flexible regulation and control system and method based on distributed photovoltaic power generation, and belongs to the technical field of photovoltaic energy storage regulation and control, and the system specifically comprises a power grid cloud scheduling platform, a meteorological sensing module, a load prediction module, a photovoltaic power generation prediction module, a net load evaluation module and an energy storage distribution scheduling module. The method comprises the steps of obtaining a net load curve based on a future generating capacity curve and a future load curve, introducing a net load reference line to compare and mark a charging window and a discharging window, and decomposing the net load curve into a high-frequency component and a low-frequency component by adopting a frequency domain decomposition technology; then different battery scheduling sub-modules are introduced to respond to the high-frequency component and the low-frequency component respectively, an optimal charging and discharging instruction in a future period is formulated based on net load absolute values and battery characteristic parameters under a charging window and a discharging window, and through distributed dynamic flexible energy storage scheduling, rapid charging and discharging response is ensured, and the charging and discharging efficiency is improved. And a peak clipping and valley filling plan can be stably executed.

The present application relates to a kind of battery scheduling method and device for multi-edge service provider scene.The method includes: in the edge computing region of interest consisting of multiple edge service providers and multiple batteries, establish an independent agent for each edge service provider, and redefine: 1) the action executed by agent to reduce the dimension of action space, and 2) the reward after executing action, to align optimization goal, i.e. reduce carbon emission and battery degradation cost.Distributed training and distributed execution strategy are used, and Q value money disturbance strategy is added, so as to isolate the training and inference of each agent, realize information protection, in addition, action conversion mechanism is designed, the defined action is converted into the actual charge and discharge operation of battery in agent, improve the overall training and execution efficiency.The present application has the ability to effectively coordinate multiple edge service providers, can realize that carbon emission is reduced by up to 60%, while maintaining privacy and controlling overhead.

The invention discloses a battery scheduling method, an electronic device, a system, a storage medium and a computer product, and relates to the technical field of vehicles, and the method specifically comprises the steps: determining a to-be-replaced first standardized battery in a hot spot region battery replacement station; a first target unmanned vehicle is determined, and the first target unmanned vehicle comprises a second standardized battery used for replacing the first standardized battery; the first target unmanned vehicle is controlled to arrive at the hot spot area battery swap station, and the second standardized battery is replaced with the first standardized battery in the hot spot area battery swap station; and controlling the first target unmanned vehicle to transport the first standardized battery to the non-hot-spot area battery swap station. By adopting the method and the device, the load balance between the hot-spot area battery swap station and the non-hot-spot area battery swap station can be balanced, the situation of area load unbalance is prevented, the overall turnover efficiency of batteries is further improved, and the idle waste of battery assets is prevented.

The present application relates to the technical field of battery-swapping station dispatching. Disclosed are an in-station dispatching method and apparatus for a battery-swapping station, and a device and a storage medium. The method comprises: acquiring a preset waiting time of an electric device in a target battery-swapping station, and decision variables and a plurality of battery-swapping optimization targets of the target battery-swapping station; determining variable constraint conditions of the decision variables of the target battery-swapping station on the basis of the preset waiting time; solving the plurality of battery-swapping optimization targets by means of the variable constraint conditions and the decision variables, so as to obtain a battery charging and swapping dispatching strategy for power supply batteries in the target battery-swapping station; and performing battery charging and swapping dispatching on the power supply batteries in the target battery-swapping station by means of the battery charging and swapping dispatching strategy. By taking into account a plurality of factors, battery charging and swapping behavior dispatching of batteries in a target battery-swapping station is quickly and accurately performed, thereby improving the accuracy and flexibility of in-station battery dispatching for battery-swapping stations.

The invention relates to the technical field of battery charging and swapping station dispatching, in particular to a double-layer model collaborative optimization method and device based on battery dispatching and a vehicle path. The method comprises the following steps: determining a first solution of a first model for battery distribution between stations and a second solution of a second model for battery transfer trolley path planning between the stations, and performing optimization iteration on the solutions of the two models through a fitness function. Through an information sharing and feedback mechanism, the two models interact and are gradually optimized to obtain a globally optimal solution, and the purpose of collaborative optimization of the two models is achieved, so that the problem of supply and demand balance between charging and battery swapping stations is solved, and the user experience is further improved.

The embodiment of the invention discloses a battery scheduling method, device and equipment applied to a battery replacement cabinet and a readable medium. A specific implementation mode of the method comprises the following steps: constructing a power conversion cabinet node network; for each power conversion cabinet node, the following scheduling steps are executed: power conversion cabinet state information is generated according to power conversion cabinet basic information, historical power conversion information and power conversion cabinet real-time information; generating battery demand prediction information according to the battery replacement cabinet state information and the historical battery replacement information; performing in-cabinet battery scheduling operation on the battery replacement cabinet according to the battery replacement cabinet state information and the battery demand prediction information; according to the battery replacement cabinet node network, each piece of historical battery replacement information and each piece of historical battery demand prediction information, generating a battery scheduling amount between each cabinet; and carrying out battery scheduling on the battery changing cabinet. According to the embodiment, the sudden power utilization event in the area can be recognized early, and battery scheduling is carried out between the battery replacement cabinets, so that the power shortage duration of the battery replacement cabinets is shortened, and the full power guarantee rate in the area is improved.

The application provides a scheduling management system and method for EMS deep integration of an electric ship battery, relates to the technical field of electric energy management, and is based on state information of an electric ship battery to construct a digital twin and then obtain a health attenuation coefficient; an abnormal fluctuation sequence of temperature is collected, the health attenuation coefficient is dynamically boundary-divided through the abnormal fluctuation sequence, and a dynamic safety boundary is obtained; the output power of the battery is classified and limited according to the dynamic safety boundary, a power regulation parameter set is obtained, the power regulation parameter set is jointly modeled, and an out-of-limit penalty term is obtained; the power grid topology structure is subnetwork-partitioned and reconstructed, an electrical coordination graph is obtained, the electrical coordination graph is multi-objective optimization scheduled through the out-of-limit penalty term, and a scheduling strategy vector is obtained; and a scheduling protection instruction is determined according to the scheduling strategy vector and sailing information. The application can realize dynamic electric energy optimization scheduling based on health sensing to improve the stability of electric ship battery scheduling.

The invention relates to the technical field of vehicle scheduling, in particular to a battery transfer trolley scheduling method and device, equipment and a medium. The method comprises the steps that after a first array aiming at inter-station battery dispatching is obtained, vehicle data and electricity price data are determined, and the first array comprises battery dispatching data of a plurality of battery swap stations; sending the first array and the vehicle data to a vehicle scheduling model for path planning of the battery transfer vehicle to obtain a plurality of second arrays; and calculating earnings corresponding to the plurality of second arrays according to the electricity price data, and scheduling the battery transfer trolley according to the second array with the highest earnings. The rationality of a vehicle scheduling scheme matched according to the battery demand between the stations is improved, and the purposes of reducing the power utilization scheduling cost of the battery swap station and improving the income are achieved.

The invention discloses an in-station scheduling method, device and equipment for a battery swap station and a storage medium, and relates to the technical field of battery swap station scheduling, and the method comprises the steps: obtaining the preset waiting time of electric equipment in a target battery swap station, the decision variable of the target battery swap station, and a plurality of battery swap optimization targets; determining a variable constraint condition of the decision variable of the target battery swap station based on preset waiting time; solving the plurality of battery swap optimization targets through variable constraint conditions and decision variables to obtain a charging and swap scheduling strategy of a power supply battery in the target battery swap station; according to the method, the power supply battery in the target battery swap station is subjected to battery charging and swap scheduling through the battery charging and swap scheduling strategy, the battery charging and swap behaviors of the battery in the target battery swap station are rapidly and accurately scheduled by considering multiple factors, and the accuracy and flexibility of battery scheduling in the battery swap station are improved.

The invention relates to the technical field of battery management, and discloses an intelligent management method and system for a new energy battery, and the method comprises the steps: carrying out the monitoring of a driving scene and load performance of a new energy vehicle loaded with the new energy battery, and obtaining the driving scene characteristics and load performance characteristics of the new energy battery; the method comprises the following steps: acquiring operation performance data of a functional module in functional association with a new energy battery in a new energy vehicle, predicting future load pressure of the new energy battery in combination with driving scene characteristics and load performance characteristics to obtain load prediction information, performing adaptive analysis on the load prediction information according to a preset battery scheduling strategy, and determining the load pressure of the new energy battery. And a new energy battery management strategy is obtained.

The invention relates to the technical field of battery swap station battery dispatching prediction, in particular to a battery dispatching method, device and equipment used between battery charging and swap station points and a medium. The method comprises the steps of obtaining multiple groups of battery scheduling parameters, calculating demand satisfaction values of all stations of the multiple groups of battery scheduling parameters, and performing successive multiplication calculation to obtain demand satisfaction rates corresponding to the multiple groups of battery scheduling parameters, and carrying out battery scheduling processing on the first station and the second station according to the battery scheduling parameter with the highest demand satisfaction rate. The problem that the new energy automobile battery replacement cannot be met due to the fact that station battery supply and demand are not matched is solved, and the use experience of a new energy automobile user battery charging and replacing station is further improved.

The application discloses a kind of regional battery warehouse management method, system and its storage medium, it is related to shared electric vehicle battery management field, including by data-driven construction service area and hierarchical parking point network, based on multi-source flow data accurately defining main area and customizing minimum power threshold, intelligent analysis battery replacement request urgency, implement cross-hub battery loan mechanism, dynamically optimize global battery resource scheduling.The application realizes the intelligentization and high efficiency of battery scheduling in the battery warehouse of shared electric vehicle by the fine operation of data-driven, significantly reduces the risk of user halfway stranded, converts global battery resources into dynamic circulation value chain, avoids the coexistence of resource idling and shortage, automatically optimizes service range and threshold by continuous analysis of mobile data, provides sustainable infrastructure support for urban shared travel, and maximizes the operation of the entire warehouse battery.

The present application relates to the technical field of battery scheduling, more particularly to a consistency AI scheduling optimization method and system for energy storage batteries, wherein multi-dimensional monitoring data is obtained by collecting multi-dimensional data of each battery cluster of a battery pack, a consistency evaluation model is used to evaluate the difference index between battery clusters, and a dynamic charging and discharging strategy is generated based on AI algorithm analysis of the index. The present application can accurately grasp the battery state by comprehensively collecting data, can find the inconsistency problem of the battery cluster by evaluating the difference, can avoid overcharging and overdischarging by using the dynamic strategy, can improve the charging and discharging efficiency, can prolong the battery life, can guarantee the safe and stable operation of the battery pack, and can improve the performance and efficiency of the energy storage system.

The invention relates to the technical field of energy storage battery scheduling, and provides an energy control system and method for the scheduling life of an energy storage battery, and the method comprises the steps: generating a scheduling capability parameter comprising a charge-discharge curve and an expected life attenuation coefficient through a battery health state, a charge state and a battery life attenuation rule in a state sensing module; coupling of a scheduling strategy and a service life attenuation rule is realized; when the demand of the scheduling request exceeds the charging and discharging curve, the battery scheduling module generates a scheduling instruction within the boundary constraint range of the charging and discharging curve, and gives consideration to the external scheduling demand satisfaction degree and the battery safe operation boundary; the instruction verification module simulates execution of a scheduling instruction by calling a scheduling capability parameter and outputs a deduction track, and completes security constraint judgment before the scheduling instruction is actually executed, so that the battery fault probability is reduced; and the energy control module monitors the actual response of instruction execution, compares the deviation between the actual life attenuation coefficient and the expected life attenuation coefficient, and dynamically adjusts the generation logic of the scheduling capability parameter.

The application discloses a battery scheduling method and device for battery swap station and a medium, and belongs to the technical field of battery swap, and is used for solving the technical problem that the distribution of different battery capacities in each charging bin of the current battery swap station is not balanced, which easily causes the idle of the charging bin, the uneven queuing of the battery swap stations, and the influence on the battery swap efficiency of the user. The method comprises the following steps: dividing each charging bin into a to-be-turned-out bin and a to-be-turned-in bin according to the battery capacity in each charging bin; acquiring the real-time queuing number of each battery swap station and the empty bin number of each to-be-turned-in bin; determining the battery scheduling rule in each charging bin according to the real-time queuing number and the empty bin number; and executing the battery scheduling rule through a battery transfer device. The method comprehensively considers the real-time queuing number of the battery swap station and the battery condition in each charging bin, proposes a detailed and accurate battery scheduling judgment scheme, and guarantees the balance of the full battery in each charging bin in the scheduled battery swap station.

The invention relates to the technical field of underground coal mine transportation, and discloses an anti-explosion lithium battery dispatching locomotive for a coal mine, two fixing seats are provided with clamping oil cylinders, the opposite sides of the two fixing seats are provided with braking devices, one side of one fixing seat is provided with a speed sensor, the bottom of one fixing seat is provided with a first sliding groove, and the bottom of the other fixing seat is provided with a second sliding groove; wherein one fixing shaft is movably connected to the interior of the first sliding groove, a hydraulic assembly, a control assembly and a power supply assembly are arranged in the fixing frame, and a protection assembly is installed on the outer side of the fixing frame. The driving motor, the driving wheel, the clamping oil cylinder, the brake device, the hydraulic assembly, the control assembly and the power supply assembly are integrated, so that the overall size of the locomotive is greatly reduced, the maneuverability and the flexibility of the locomotive are improved, and when the locomotive makes a turn horizontally or vertically, the operation is convenient. The fixing shaft on one connecting frame can slide in the first sliding groove, position compensation can be carried out, and turning of the locomotive is smoother.

Disclosed according to some embodiments of the present disclosure is a method for determining a charging station, which is performed by a battery scheduling device that performs scheduling for battery operation of a moving object. The method for determining a charging station may comprise the steps of: when a specific condition is satisfied, determining, on the basis of a current location of the moving object and a state of charge (SOC) of the battery, a movement range indicating a range in which the moving object can move from the current location; determining at least one charging station present within the movement range; and determining a first charging station among the at least one charging station on the basis of predetermined preference information of a user and information related to the at least one charging station.