Regulation and control method for fixed rail transfer type port battery replacement system

Abstract

The invention discloses a regulation and control method for a fixed rail transfer type port power conversion system, and relates to the technical field of port equipment energy management. The system comprises a distributed intelligent control system, a multi-sensor fusion monitoring and feedback mechanism, an intelligent algorithm scheduling module, a classified battery replacement strategy oriented to different equipment and operation modes, a dynamic demand response mechanism and a battery full life cycle management method. Through distributed node cooperative control, real-time data fusion and intelligent path planning, high-efficiency, stable and adaptive scheduling of a battery replacement process is realized. The method can significantly improve the port battery replacement efficiency, optimize the battery resource configuration, enhance the system reliability, and reduce the operation cost, and is suitable for rapid battery replacement and energy management scenes of various port electric devices.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of port equipment energy management, and particularly relates to a fixed track transmission type port battery replacement system regulation method. BACKGROUND

[0002] Nowadays, various electric operation devices are commonly applied on wharfs, such as electric container tractor, electric forklift and the like, and sufficient and stable power supply is needed as support in the operation process of the wharf. The traditional charging time is relatively long and the utilization rate of the device is not high, which cannot meet the high-intensity and high-efficiency work requirements of the wharf. In order to quickly provide energy supply for the wharf, a battery replacement system is generated, and at present, many wharfs have begun to install and use this system, but there are still many problems to be further solved, including the problems that the existing adjustment scheme of the wharf battery replacement system is single and unreasonable.

[0003] 1. Single control mode: most of the battery replacement systems in use are to use simple sequential control mode or to replace the battery according to the specified period, and the flexible and effective automatic battery replacement according to the actual situation of the port operation device and the battery replacement system is not considered, the control method of the battery replacement is too single, which causes low battery replacement efficiency, and the battery replacement time of the device is too long, thereby affecting the overall port operation efficiency.

[0004] 2. Some battery replacements lack different ways and different strategies for battery replacement: various port operation devices are of different types, and the battery capacity, power consumption speed, operation time and battery replacement demand of different devices are different, the existing battery replacement system regulation method does not pay attention to these differences, and a unified "one-size-fits-all" battery replacement scheduling strategy is adopted, so that the resources are not optimally configured, which causes waste or shortage of battery resources and cannot meet the different requirements of different devices for battery replacement in the complex and variable operation scene of the port.

[0005] 3. Poor system coordination: the various subsystems of the battery replacement system, including the battery storage system, the track transmission system, the battery replacement device and the operation device, do not form effective coordination of the various subsystems in the prior art, and the battery replacement work cannot be smoothly carried out through information transmission between the various subsystems, so that the battery replacement process is very unstable and unreliable.

[0006] Therefore, it is necessary to design a fixed track transmission type port battery replacement system regulation method to solve the above problems. SUMMARY

[0007] The application aims to provide a fixed track transmission type port battery replacement system regulation method, which mainly realizes the battery replacement process through the electric trolley on the track and connecting the vehicle to the target line, formulates different regulation schemes according to different battery replacement needs, improves the mechanical work efficiency and the operation efficiency of the port, effectively improves the operation efficiency and stability of the port battery replacement system, and better meets the modernization development needs of the port.

[0008] To achieve the above-mentioned purpose, the application adopts the following technical solutions: A fixed track transmission type port battery replacement system regulation method, comprising: A distributed intelligent control system is constructed for cooperative control of each node in the fixed track transmission system; A real-time monitoring and feedback control mechanism based on multi-sensor fusion is used to dynamically optimize the operation state of the track transmission system; An intelligent algorithm is used to realize autonomous decision-making and optimization scheduling; A classified battery replacement strategy is implemented according to the device type and operation mode; A dynamic demand response mechanism is established to dynamically adjust the battery replacement plan according to the real-time state of the device and the system resources; A battery life cycle management strategy is implemented, covering the whole process of procurement, use, maintenance and recycling.

[0009] Further, the distributed intelligent control system includes multiple intelligent control units deployed at the battery transfer station and the import and export of the battery replacement station, each unit is interconnected through a high-speed communication network and has independent data processing and decision-making capabilities.

[0010] Further, the multi-sensor fusion includes position sensors, speed sensors, weight sensors and battery state sensors, which realize comprehensive monitoring and feedback control of the operation state of the track transmission system through information fusion.

[0011] Further, the intelligent algorithm includes a reinforcement learning algorithm or a genetic algorithm, which is used to plan the path and optimize the scheduling according to the system operation state and the preset target.

[0012] Further, the classified battery replacement strategy includes: For short-distance frequent operation devices, the "fixed-point battery replacement + battery pre-dispatching" mode is adopted; For long-distance continuous operation devices, the "distributed battery replacement along the line + intelligent path planning" mode is adopted.

[0013] Further, the dynamic demand response mechanism includes: The operation device uploads the power, task and battery replacement plan information in real time; The system dynamically generates a battery replacement and dispatching scheme according to the device demand and battery inventory. Support the linkage with the port production management system, respond to the changes of production plan.

[0014] Further, the battery full life cycle management strategy includes: Establish a battery quality traceability system in the procurement stage; In the use stage, the battery management system is used to monitor the battery state in real time and optimize the charging and discharging strategy; Develop a regular inspection and maintenance plan in the maintenance stage; Establish an environmental recycling mechanism in the scrap stage.

[0015] Further, the intelligent control units communicate with each other through 5G or industrial Ethernet, realizing information sharing and collaborative control.

[0016] Further, the reinforcement learning algorithm takes the track system state as the environment state and the control instruction as the action, and continuously optimizes the control strategy through the reward mechanism.

[0017] Further, the intelligent path planning adopts Dijkstra algorithm combined with real-time traffic information to plan the optimal battery replacement path for the equipment.

[0018] Beneficial effects 1. The distributed intelligent control system and the real-time monitoring and feedback control system based on multi-sensor fusion realize accurate and reliable operation of the fixed track transfer system; reduce the waiting time in the battery transportation process, avoid conflicts in the battery transportation process, and significantly improve the battery replacement efficiency; the intelligent algorithm self-adaptive control technology makes the system can judge and calculate according to the actual working condition, and optimize the scheduling of the battery replacement system, which can better adapt to the high-intensity operation of the port.

[0019] 2. According to different battery replacement demand adjustment strategies, the different battery replacement needs of various port operation equipment and the complex and diverse characteristics of operation scenes are fully considered, and corresponding classification battery replacement strategies and dynamic demand response strategies are formulated according to the types of various equipment and operation conditions. In the operation process, the battery resources of the battery replacement equipment can be reasonably allocated and utilized according to the real-time demand, so as to avoid the redundancy or lack of battery resources caused by long waiting time for equipment.

[0020] 3. The various intelligent control units of the system can cooperate with each other, and the real-time monitoring and feedback control of multiple sensors can increase the stability and reliability of the system. In the case of a problem in a part, the normal operation of the part can be ensured through adjustment strategy, so that the part does not need to be removed for replacement or maintenance, and the downtime caused by failure is reduced, thereby realizing the continuous operation of the port machine.

[0021] 4, the strategy can be in the right way and good state make full use of and maintain the battery, to achieve the purpose of prolonging the battery life, reducing the replacement frequency, and then achieve the effect of reducing the battery procurement cost; moreover, through the improvement of the battery replacement strategy, the efficiency of the battery replacement system is improved, the use frequency of the port equipment is increased, the equipment idle rate is reduced, and the operation cost of the whole port is reduced; at the same time, the waste battery is recycled in the factory, which meets the green environmental protection requirement and saves the environmental governance cost. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 It is a structure schematic diagram of the fixed track transmission type port battery replacement system in the application; Figure 2 It is an architecture diagram of the distributed intelligent control system in the embodiment of the application; Figure 3 It is a flow chart of different battery replacement demand regulation and control strategies in the embodiment of the application. DETAILED DESCRIPTION

[0023] Embodiment one: As shown in the figure, a fixed track transmission type port battery replacement system regulation and control method, comprising: Figure 1 Constructing a distributed intelligent control system for collaborative control of each node in the fixed track transmission system; Based on the real-time monitoring and feedback control mechanism of multi-sensor fusion, the running state of the track transmission system is dynamically optimized; Using intelligent algorithm to realize autonomous decision and optimization scheduling; According to the device type and operation mode, the classification battery replacement strategy is implemented; Establishing a dynamic demand response mechanism to dynamically adjust the battery replacement plan according to the real-time state of the device and the system resources; Implementing the battery life cycle management strategy covering the whole process of procurement, use, maintenance and recycling.

[0024] Further, the distributed intelligent control system includes a plurality of intelligent control units deployed at the battery transfer station, the import and export of the battery replacement station, each unit is interconnected through high-speed communication network, and has independent data processing and decision-making ability.

[0025] Further, the multi-sensor fusion includes position sensor, speed sensor, weight sensor and battery state sensor, and the running state of the track transmission system is comprehensively monitored and feedback controlled through information fusion.

[0026] Further, the intelligent algorithm includes reinforcement learning algorithm or genetic algorithm, which is used for path planning and scheduling optimization according to the system running state and preset target.

[0027] ​Further, the classified battery replacement strategy includes: For short-distance and frequent operation equipment, adopt "fixed-point battery replacement + battery pre-dispatching" mode; For long-distance and continuous operation equipment, adopt "distributed battery replacement along the line + intelligent path planning" mode.

[0028] Further, the dynamic demand response mechanism includes: The operation equipment uploads real-time power, task and battery replacement plan information; The system dynamically generates battery replacement and dispatching scheme according to equipment demand and battery inventory; Supports linkage with port production management system to respond to production plan changes.

[0029] Further, the battery full life cycle management strategy includes: Establish a battery quality traceability system in the procurement stage; In the use stage, the battery management system is used to monitor the battery state in real time and optimize the charging and discharging strategy; In the maintenance stage, develop regular inspection and maintenance plan; Establish an environmental recycling mechanism in the scrap stage.

[0030] Further, the intelligent control units communicate through 5G or industrial Ethernet to realize information sharing and collaborative control.

[0031] Further, the reinforcement learning algorithm takes the track system state as the environment state and the control instruction as the action, and continuously optimizes the control strategy through the reward mechanism.

[0032] Further, the intelligent path planning adopts Dijkstra algorithm combined with real-time traffic information to plan the optimal battery replacement path for the equipment.

[0033] Embodiment two: As shown in Figure 2 The embodiment provides an implementation method of a fixed track delivery system control mode, specifically: 1. Distributed intelligent control system construction: In the fixed track transfer type battery swap system in large ports, an intelligent control unit is deployed at each site, including the entrance and exit of the battery storage area, the entrance and exit of the battery swap station, and the transfer points between multiple sites; and a high-performance microprocessor and a communication module are installed on each intelligent control unit, and then the intelligent control units in each site are connected into a distributed networking structure in a 5G networking manner, and the intelligent control units in each site can realize real-time information exchange and mutual guidance. For example, the intelligent control unit at the exit of the battery storage area is used to dispatch the trolley from this location to other locations, and also needs to communicate with the battery storage area inventory management information system at this location and the intelligent control units of other sites to obtain information of other sites, and then sends instructions after obtaining the dynamic operation of the trolley itself to determine the specific time and route of each trolley.

[0034] 2. Multi-sensor fusion monitoring and feedback control is very necessary. High-precision position sensors, speed sensors, and weight sensors are installed on the battery transfer trolley on the track transfer system, and the battery is also made into a battery equipped with advanced battery state sensors. Real-time acquisition, information transmission, and fusion processing of received information are used in the following way: When the position sensor detects that the trolley deviates from the path, the intelligent control unit obtains the adjustment amount after adjusting the information obtained from the speed sensor, and then sends it to the trolley drive motor controller to adjust the motor speed and steering to make the trolley return to the correct track. When the battery state sensor detects that the temperature of a certain battery is too high, it informs the control system of the battery swap station, which will command to prepare for cooling the battery in advance, and provide cooling services for the battery after the trolley arrives at the battery swap station, or change the charging mode of the battery to fast charging mode in advance.

[0035] 3. Intelligent algorithm is applied to optimize scheduling: In the distributed intelligent control system, reinforcement learning algorithm is used for optimization scheduling. In this system, the state of the track transfer system is regarded as the environment state, and the instruction for trolley control is regarded as the action. Through a large number of simulation tests and actual operation data, the system continuously modifies and improves the control strategy it uses, for example, successfully transferring a battery once to get the corresponding positive feedback reward, and getting negative feedback reward when delay and collision occur. When the port's work load is at peak during operation, a large number of devices simultaneously send battery swap applications, and the optimal battery transfer scheme is quickly obtained by using reinforcement learning method to reasonably plan the driving route and stopping site of each trolley, solve the blocking and conflict problems between trolleys, and improve the work efficiency by more than 30%.

[0036] Example Three: AsFigure 3 As shown, the embodiment provides a specific process for implementing the regulation method for different battery replacement needs, as follows: 1. Using device type and operation mode as an important basis for implementing classified battery replacement strategies: The port container tractor is mainly used for long-distance transportation tasks in a large range of containers in the port area, and its operation route is relatively long and fixed. The forklift is used for loading and unloading, handling and other work of small range and short distance goods in the container yard, and its operation range is small. For the container tractor, distributed battery replacement stations are set up every certain distance along the driving route, and an intelligent path planning system is established. When the electric quantity of the tractor is lower than the preset electric quantity value, the vehicle terminal will send a battery replacement application to the battery replacement system, and the battery replacement system will use the location information of the tractor, the driving destination information and the battery reserve of each battery replacement station. Information, through Dijkstra algorithm intelligent path planning algorithm and real-time traffic, a best path for battery replacement is planned for the tractor.

[0037] For example, a tractor from the A zone of the port area to the B zone, the electric quantity is not enough during the journey, when the system detects that the nearest C battery replacement station has a spare full battery available for use, and the road condition at the battery replacement station is very good, then the tractor will be arranged to go to the C battery replacement station first and then continue to the B zone. Task, in this way, the tractor can avoid the waste of extra mileage and time caused by searching for a battery replacement location, and also improves the work efficiency of the tractor. The forklift can be set in multiple fixed positions in the container yard to set fixed battery replacement stations. Analyze the past and current operation of the forklift using big data analysis method to predict the battery replacement needs of the forklift. Before the battery replacement needs are large, enough full batteries can be allocated to the place where the forklift needs them. For example, the frequency of using the forklift in each time period can be counted every day, and from the data it can be seen when the time period with the largest battery replacement demand is, that is, between ten o'clock and twelve o'clock in the morning. Therefore, enough full batteries should be prepared before nine o'clock and put into the fixed battery replacement position, so that the forklift can be immediately replaced in place as long as it needs battery replacement, thereby reducing the waiting time from fifteen minutes to five minutes or less.

[0038] 2. Dynamic demand response strategy implementation: A real-time communication network between the port operation equipment and the battery replacement system is established. The operation equipment reports its state of charge, remaining operation task, and estimated battery replacement time to the battery replacement system through the vehicle-mounted terminal. The battery replacement system transmits the above data to the data center in real time and analyzes and processes it. According to the battery inventory and the use of the battery replacement equipment, the battery replacement plan and the battery allocation scheme are adjusted. If several container tractors arrive at the unloading point without electricity, an emergency plan is immediately started to send all the full batteries at the emergency storage location to the container tractors without electricity. The interconnection between the battery replacement system and the port production management system is also realized. The production plan is adjusted according to the production plan and scheduling information of the port production management system. For example, if a ship arrives earlier, a large number of forklifts and tractors are needed for loading and unloading operations. Therefore, it is predicted that the demand for battery replacement in this area will increase rapidly. Full batteries are allocated to the corresponding battery replacement station in advance. According to the number of equipment in the area and the use of the port equipment, the work plan and work sequence of the battery replacement equipment are prepared in advance to put the equipment into production in the shortest time.

[0039] 3. Management of the entire life cycle of the battery: For battery procurement, since the port cooperates with multiple battery suppliers, the best battery brand and model suitable for the port operation equipment are selected according to the characteristics of the port operation equipment and the purchased batteries, such as energy density, charge and discharge cycle number, safety, etc. A complete battery procurement information file is established, and the battery quality traceability management is improved. During the use of the battery, the advanced BMS system is used to monitor the charge and discharge number, capacity, voltage, current, and temperature of each battery in real time. The battery health state evaluation model is embedded in the system to provide real-time feedback of the battery health state data to the system and analyze the results. For example, if the charge and discharge cycle number of a battery reaches 80% of its designed service life and the battery capacity is only 85% of the initial capacity, it indicates that the battery health state has declined. The battery is replaced from the container tractor battery to the indoor auxiliary battery, such as the indoor small platform truck, and a reasonable battery maintenance plan is developed. The appearance inspection, internal resistance detection, and cell capacity detection of the battery are carried out once a month, and the corresponding record table is completed. The battery maintenance is carried out once a quarter, mainly for equalizing charge and cleaning, and the maintenance record table is completed. When a slight fault is found in the battery, it is repaired immediately. In the process of battery scrap and recycling, a professional battery recycling company is contacted, and an agreement is signed to clarify the responsibilities of both parties. When the battery reaches the scrap standard, a qualified professional recycling company is invited to recycle it, and the environmental protection method is used to dispose of it, eliminating battery pollution and effectively protecting the environment.

Claims

1. A control method for a fixed-track transmission type port power swapping system, characterized in that, include: Construct a distributed intelligent control system for the coordinated control of various nodes in a fixed-track transmission system; A real-time monitoring and feedback control mechanism based on multi-sensor fusion is used to dynamically optimize the operating status of the track transfer system. Utilizing intelligent algorithms to achieve autonomous decision-making and optimized scheduling; Implement classified battery swapping strategies based on equipment type and operating mode; Establish a dynamic demand response mechanism to dynamically adjust the battery swapping plan based on the real-time status of equipment and system resources; Implement a full lifecycle management strategy for batteries, covering the entire process of procurement, use, maintenance and recycling.

2. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The distributed intelligent control system includes multiple intelligent control units deployed at battery transfer stations and battery swapping station entrances and exits. Each unit is interconnected through a high-speed communication network and has independent data processing and decision-making capabilities.

3. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The multi-sensor fusion includes position sensors, speed sensors, weight sensors, and battery status sensors, and achieves comprehensive monitoring and feedback control of the operating status of the track transfer system through information fusion.

4. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The intelligent algorithm includes reinforcement learning algorithm or genetic algorithm, which is used to perform path planning and scheduling optimization based on the system operating status and preset goals.

5. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The categorized battery swapping strategy includes: For equipment that operates frequently over short distances, a "fixed-point battery swapping + battery pre-adjustment" approach is adopted; For equipment operating continuously over long distances, a "distributed battery swapping along the route + intelligent path planning" approach is adopted.

6. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The dynamic demand response mechanism includes: The operating equipment uploads power, task, and battery swapping plan information in real time; The system dynamically generates battery swapping and allocation plans based on equipment demand and battery inventory. It supports integration with the port production management system to respond to changes in production plans.

7. The control method for a fixed-track transmission port power swapping system according to claim 1, characterized in that, The battery lifecycle management strategy includes: Establish a battery quality traceability system during the procurement phase; During the usage phase, the battery management system monitors the battery status in real time and optimizes the charging and discharging strategy. During the maintenance phase, a regular inspection and maintenance plan should be developed. Establish an environmentally friendly recycling mechanism during the disposal phase.

8. The control method for a fixed-track transmission port power swapping system according to claim 2, characterized in that, The intelligent control units communicate with each other via 5G or industrial Ethernet to achieve information sharing and collaborative control.

9. The control method for a fixed-track transmission port power swapping system according to claim 4, characterized in that, The reinforcement learning algorithm takes the state of the orbital system as the environment state and the control commands as actions, and continuously optimizes the control strategy through a reward mechanism.

10. A control method for a fixed-track transmission port power swapping system according to claim 5, characterized in that, The intelligent route planning uses Dijkstra's algorithm combined with real-time traffic information to plan the optimal battery swapping route for the equipment.

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