Battery compartment integral emergency separation method after thermal runaway of ship power battery

Abstract

The invention relates to a battery compartment integral emergency separation method after thermal runaway of a ship power battery. The emergency separation method comprises the following steps: S21, receiving battery thermal runaway risk alarm information sent by a battery changing ship; s22, under the condition that the mother ship fixed fire extinguishing system cannot effectively control the battery thermal runaway risk of the battery replacing ship, cooling water and electrical connection between the battery replacing ship and the mother ship is immediately removed, and rigid fixed connection between the small battery replacing ship and the mother ship is removed; s23, a dock gate is controlled to be opened, seawater enters the dock cabin, the tail of the mother ship sinks, the battery replacing ship in the dock cabin floats, and the power of the battery replacing ship or an emergency towing device in the dock cabin is used for driving the battery replacing ship to leave the dock cabin; and S24, after the battery replacement ship is driven away from the mother ship by a preset distance, a rescue alarm is given out.

Description

Technical Field

[0001] The present invention relates to the field of stress separation of battery compartments, and in particular to a method for emergency separation of the entire battery compartment after thermal runaway of a ship's power battery occurs. Background Art

[0002] New energy vessels are vessels that use non-traditional fossil fuels and clean energy as their core power source. They aim to reduce or eliminate pollutants and greenhouse gas emissions during shipping and promote the green transformation of the shipping industry. Existing technologies often use batteries as the primary power source, with electric propulsion systems driving the vessel.

[0003] In order to solve the battery life problem, the existing technology generally adopts charging or battery replacement to replenish the energy of the ship.

[0004] The general charging mode implementation steps are as follows: the ship docks at the dock and uses the dock shore power device to charge the batteries stored in the ship's power battery container or power battery compartment; The general steps to implement the battery replacement mode are: the ship docks at the port, uses the port crane to unload the power battery container with insufficient power, and replaces it with a fully charged power battery container.

[0005] In this case, the power battery box (compartment) is fixed to the ship or installed at a certain position on the ship. Once the power battery compartment experiences thermal runaway, the ship can only rely on the ship's fire-fighting system for self-rescue. When the fire-fighting system cannot effectively control the disaster, the ship is at risk of destruction.

[0006] In view of the above problems existing in the prior art, the purpose of this invention is to design an overall emergency detachment method for the battery compartment after thermal runaway of the ship power battery occurs. Summary of the Invention

[0007] In response to the problems existing in the above-mentioned prior art, the present invention provides a method for emergency detachment of the entire battery compartment after thermal runaway of a ship power battery occurs, which can effectively solve at least one problem existing in the above-mentioned prior art.

[0008] The technical solution of the present invention is: A method for the overall emergency separation of a battery compartment after a thermal runaway of a ship's power battery occurs, based on an offshore dock-type power exchange system, wherein the offshore dock-type power exchange system comprises a mother ship and a power exchange ship, wherein a dock is provided at the stern of the mother ship, the dock is opened and closed by a dock door, the power exchange ship is provided with a power supply battery, the power exchange ship can be connected to the mother ship and supply power to the mother ship, and the following are executed during power exchange: S11, controlling the dock door to open, allowing seawater to enter the dock and causing the stern of the mother ship to sink, and the power exchange ship with low power is floated by the seawater and leaves the dock; S12, controlling the fully charged power exchange ship to enter the dock; S13, controlling the dock door to close, emptying the seawater in the dock, causing the stern of the mother ship to float, and causing the fully charged power exchange ship to sink and then be rigidly parked in the dock; S14, supplying power to the mother ship by the fully charged power exchange ship; The emergency escape method comprises the following steps: S21, detect and calculate whether the battery has a thermal runaway risk; S22, if there is a risk of thermal runaway, controlling the dock door to open, allowing seawater to enter the dock and causing the stern of the mother ship to sink, so that the battery-swap ship being powered floats; S23, controlling the battery-exchange ship to leave the dock.

[0009] Furthermore, the battery thermal runaway risk is determined by the following methods: S211, while the battery swapping vessel is entering the dock, obtaining battery temperature, battery data, environmental data, and driving data at multiple times, and calculating changes in the battery temperature, battery data, environmental data, and driving data at each time compared to the previous time; S212, calculating the influence weight of changes in battery data, environmental data, and driving data on changes in battery temperature; S213, forming a two-dimensional weight matrix from the plurality of influence weights, performing noise reduction on the two-dimensional weight matrix, and extracting a change trend of the two-dimensional weight matrix; S214, while the battery swapping vessel is rigidly parked in the dock after sinking and supplying power to the mother ship, current battery data, environmental data, and driving data are collected, and the temperature change of the battery is estimated based on the change trend of the weighted two-dimensional matrix; S215 , calculating the difference between the estimated battery temperature change and the actual battery temperature change. If the difference is greater than a preset temperature threshold, it is determined that the battery has a thermal runaway risk.

[0010] Furthermore, the battery data includes one or more of battery voltage, state of charge, and battery health; The environmental data includes one or more of the environmental temperature, humidity, sea surface wind speed, wave amplitude, shaking degree, and salt spray concentration; The driving data includes one or more of driving acceleration, hull tilt angle, hull vibration amplitude, and hull vibration frequency.

[0011] Furthermore, a machine learning model is established, and the machine learning model is trained by changes in battery temperature, battery data, environmental data, and driving data to obtain influence weights.

[0012] Furthermore, the machine learning model is one of a linear regression model, a random forest, and a gradient boosting tree.

[0013] Furthermore, performing noise reduction on the weight two-dimensional matrix includes: The weight two-dimensional matrix is ​​subjected to noise reduction by a Kalman filter, and setting parameters of the Kalman filter are dynamically adjusted according to changes in environmental data, driving data, and battery temperature.

[0014] Furthermore, the setting parameters of the Kalman filter include Q value; The settings for dynamically adjusting the Kalman filter include: If the change in one of the battery data, environmental data, and driving data is greater than the preset change, the Q value is increased; otherwise, the Q value is decreased.

[0015] Furthermore, in S214, estimating the temperature change of the battery based on the change trend of the weight two-dimensional matrix includes: According to current battery data, environmental data, and driving data, corresponding weights are extracted from the change trend of the weight two-dimensional matrix, and the temperature change of the battery is inferred based on the corresponding weights.

[0016] Furthermore, in S214, when the battery swapping ship is rigidly parked in the dock after sinking and supplies power to the mother ship, current battery data, environmental data, and driving data are collected, and the temperature change of the battery is inferred based on the change trend of the weight two-dimensional matrix, including: Add the weights corresponding to the currently acquired battery data, environmental data, and driving data to the first row, middle row, and last row of the weight two-dimensional matrix to form a weight verification matrix, and perform noise reduction on the weight verification matrix; Determine the deviation between the last row of the weight verification matrix after denoising and the change trend of the weight two-dimensional matrix. If the deviation is greater than the preset weight threshold, it is determined to be invalid data and step S214 is re-executed.

[0017] Furthermore, using the power of the battery-swap ship itself or the emergency towing device in the dock to drive the battery-swap ship away from the dock includes: When the remote control system of the battery-swapping vessel is effective, the battery-swapping vessel is controlled to exit the dock by remote control; When the remote control system of the battery-swapping boat fails, the emergency towing device in the dock can be used to pull the boat out of the dock.

[0018] Therefore, the present invention provides the following effects and / or advantages: This application is based on the water dock-type battery exchange mode, using the floating capacity of the water body to optimize the design of the traditional ship power battery compartment or container into a powered battery exchange boat. The boat is usually located in the dock at the rear of the mother ship to supply power to the mother ship. Once the battery thermal runaway occurs, the mother ship opens the rear dock door and uses the boat's own navigation ability or the emergency out-of-cabin towing device in the dock to quickly drive the battery boat away from the mother ship to a safe distance to ensure the safety of the mother ship.

[0019] This application calculates the influence weight of each data on the battery temperature based on the battery data, environmental data, and driving data, and calculates the change trend of each weight based on multiple influence weights, so as to infer the change trend of each weight by utilizing the situation that the battery data, environmental data, and driving data fluctuate greatly during the process of the battery swap ship entering the dock. In the subsequent situation where the battery data, environmental data, and driving data in the battery swap ship do not fluctuate much, the battery temperature change is inferred based on the weight change trend.

[0020] This application reduces the noise of the weighted two-dimensional matrix and dynamically adjusts the setting parameters of the Kalman filter, so as to adapt to the changes in the environment in which the battery-swap ship is located, adaptively adjust the filter, and change the sensitivity of the filter to environmental changes.

[0021] This application can evaluate the behavioral differences of the new data in the weight change trend space by forming a weight verification matrix, and then obtain the analysis results of the matching degree between the current state of the system and the historical trend.

[0022] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0023] It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a schematic diagram of the mother ship's stern sinking under the action of seawater.

[0025] Figure 2 A schematic diagram of a fully charged battery swap ship entering the dock to replace the one with low battery power.

[0026] Figure 3Schematic diagram of the dock door closing and the tail of the dock rising and leaving the sea surface.

[0027] Figure 4 A flowchart illustrating one embodiment of the present invention is provided.

[0028] Figure 5 This is a schematic diagram of the structure of the emergency towing device in the dock. DETAILED DESCRIPTION

[0029] In order to facilitate understanding by those skilled in the art, the present invention is now described in further detail with reference to the following examples: refer to Figure 4 , a method for the overall emergency separation of a battery compartment after a thermal runaway of a ship's power battery occurs, based on an offshore dock-type power exchange system, the offshore dock-type power exchange system includes a mother ship 1 and a power exchange ship, the stern of the mother ship is provided with a dock 11, the dock is opened and closed by a dock door 12, the power exchange ship is provided with a power supply battery, the power exchange ship can be connected to the mother ship and supply power to the mother ship, and the following are executed during power exchange: S11, controlling the dock door to open, allowing seawater to enter the dock and causing the stern of the mother ship to sink, and the power exchange ship 3 with low power is floated and leaves the dock by seawater; S12, controlling the fully charged power exchange ship 2 to enter the dock; S13, controlling the dock door to close, emptying the seawater in the dock, causing the stern of the mother ship to float, and causing the fully charged power exchange ship to sink and then be rigidly parked in the dock; S14, supplying power to the mother ship by the fully charged power exchange ship; In this step, when the battery-swapping ship in the dock is low on power, the mother ship submits a request for battery-swapping to the shore-based (or wind power) mother port, and the shore-based mother port dispatches a fully charged battery-swapping ship. Figure 1 In S11, the draft of the tail is adjusted by the ballast water tank. At this time, the dock door is opened, and the tail of the mother ship sinks under the action of seawater. The low-power battery-swapping ship, which was originally rigidly docked in the dock, floats up. At this time, the bottom of the low-power battery-swapping ship is separated from the dock and floats up due to the buoyancy of seawater. The low-power battery-swapping ship can leave the dock. Figure 2 In S12, the fully charged battery-swap ship is controlled to enter the dock to replace the battery-swap ship with low battery. Figure 3 , control the dock door to close and drain the seawater in the dock. At this time, the tail of the dock rises and leaves the sea surface, lifting the fully charged battery swap ship that originally floated by buoyancy, so that the bottom of the fully charged battery swap ship is out of the seawater and docked in the dock.

[0030] The emergency escape method comprises the following steps: S21, receiving a battery thermal runaway risk alarm message from the battery swapping vessel; S22: If the mother ship's fixed fire-fighting system is unable to effectively control the risk of thermal runaway of the battery in the battery swapping boat, immediately disconnect the cooling water and electrical connections between the battery swapping boat and the mother ship, and disconnect the rigid fixed connection between the battery swapping boat and the mother ship; S23, controlling the dock door to open, allowing seawater to enter the dock, causing the stern of the mother ship to sink, causing the battery swap ship in the dock to float, and using the battery swap ship's own power or the emergency towing device in the dock to drive the battery swap ship out of the dock; S24, after the battery-exchanging ship drives away from the mother ship by a preset distance, a rescue alarm is issued.

[0031] In this embodiment, the battery-swap vessel is powered from a closed environment within the dock. In the event of a battery thermal runaway, the vessel can be detached from the dock to minimize damage. The vessel is equipped with its own propellers and power plant. When seawater enters the dock, causing the mother ship's stern to sink, the buoyancy of the seawater causes the vessel to float. At this point, the electrical connection between the vessel and the mother ship is severed, and the vessel can be controlled to exit the dock.

[0032] Furthermore, the battery thermal runaway risk is determined by the following methods: S211, while the battery swapping vessel is entering the dock, obtaining battery temperature, battery data, environmental data, and driving data at multiple times, and calculating changes in the battery temperature, battery data, environmental data, and driving data at each time compared to the previous time; S212, calculating the influence weight of changes in battery data, environmental data, and driving data on changes in battery temperature; S213, forming a two-dimensional weight matrix from the plurality of influence weights, performing noise reduction on the two-dimensional weight matrix, and extracting a change trend of the two-dimensional weight matrix; S214, while the battery swapping vessel is rigidly parked in the dock after sinking and supplying power to the mother ship, current battery data, environmental data, and driving data are collected, and the temperature change of the battery is estimated based on the change trend of the weighted two-dimensional matrix; S215 , calculating the difference between the estimated battery temperature change and the actual battery temperature change. If the difference is greater than a preset temperature threshold, it is determined that the battery has a thermal runaway risk.

[0033] On the one hand, when the battery-swap ship is supplying power in the dock, the mother ship will vibrate and tilt with the waves, and the mother ship will generate a certain acceleration during navigation. These conditions will affect the thermal management system of the battery, and the changes in the ambient temperature inside and outside the dock will directly affect the battery temperature. As well as the changes in the heat generated by the battery when the discharge power of the battery changes, these combined factors will affect the temperature of the battery. On the other hand, after the battery-swap ship enters the dock from outside, the environment of the battery-swap ship changes significantly, and the temperature of the battery cannot change suddenly after the environment changes. The battery temperature will gradually change and tend to balance with the difference in environment inside and outside the dock. For example, in summer, when the battery-swap ship enters the closed environment inside the dock from the high-temperature environment outside, the battery temperature will gradually decrease to the same temperature as the environment inside the dock with the temperature difference. When the battery supplies power, it will generate heat, which will increase the battery temperature. The mother ship is large in size and is not sensitive to the ups and downs of the waves, which reduces the vibration of the battery-swap ship, thereby improving the thermal management efficiency of the battery-swap ship, which in turn reduces the temperature of the battery-swap ship. However, when multiple situations occur at the same time, it is difficult to predict the temperature changes of the battery swap ship, and it is also difficult to detect whether the temperature changes of the battery swap ship are within a reasonable range, especially in the early stage of thermal runaway, when the temperature changes of the battery are not obvious.

[0034] Therefore, in this step, the risk of thermal runaway can be inferred by detecting the correlation between battery temperature changes and environmental and driving data. The data at each moment can be compared with the previous moment to capture the instantaneous trend of change. Based on the changes, the weight of the impact of each battery data, environmental data, and driving data on the battery temperature change is calculated. The weight of each moment is combined into a two-dimensional weight matrix, and the trend of change is extracted through noise reduction methods. The trend extracted from the weight matrix can be used to infer the battery temperature change. Finally, it is determined whether the battery temperature change is within a reasonable range. If not, it is determined that there is a risk of thermal runaway.

[0035] Furthermore, the battery data includes one or more of battery voltage, state of charge, and battery health; The environmental data includes one or more of the environmental temperature, humidity, sea surface wind speed, wave amplitude, shaking degree, and salt spray concentration; The driving data includes one or more of driving acceleration, hull tilt angle, hull vibration amplitude, and hull vibration frequency.

[0036] In this embodiment, multiple sensors can be installed on the mother ship and the battery swapping vessel to capture various data. Battery data represents the current state of the battery, which is closely related to the risk of thermal runaway. Environmental data represents the environment in which the battery on the battery swapping vessel is located. Driving data represents the driving state of the battery swapping vessel, or the driving state of the battery swapping vessel following the mother ship. During the process of the battery swapping vessel entering the dock from outside, the driving data and environmental data of the battery swapping vessel undergo significant changes.

[0037] Furthermore, a machine learning model is established, and the machine learning model is trained by changes in battery temperature, battery data, environmental data, and driving data to obtain influence weights.

[0038] Furthermore, the machine learning model is one of a linear regression model, a random forest, and a gradient boosting tree.

[0039] In this step, when the battery swap ship enters the dock from outside the dock, the driving data and environmental data of the battery swap ship undergo a large mutation. After the battery swap ship is in the dock, the battery data of the battery swap ship remains basically unchanged. When the battery swap ship is on the mother ship, the mother ship is less sensitive to wave fluctuations, the driving state of the mother ship is relatively stable, and the environment in the dock is also relatively stable. Therefore, this step obtains multiple data during the process of the battery swap ship entering the dock, and then calculates the weights of these data. During the process of the battery swap ship entering the dock, the battery temperature, environmental data, and driving data change significantly. Therefore, when each data changes significantly, the weight of the influence of each factor on the battery temperature can be calculated first, and then the change trend of each influence weight can be calculated based on the multiple influence weights when each factor changes. For example, when the driving data changes from a large fluctuation to a stable direction, the weight of the influence of the driving data on the temperature gradually decreases, or when the environmental data changes from a large fluctuation to a stable direction, the influence of the environmental data on the temperature gradually decreases, etc.

[0040] Through machine learning models, the weights of various influencing factors (such as ambient temperature, vibration, path, power, etc.) on battery temperature changes can be calculated, and the battery temperature changes can be inferred based on these weights and current data. In the subsequent case of power supply by the battery swap ship, the heat generated by the battery operation of the battery swap ship itself, as well as the battery data, environmental data, and driving data will cause a total temperature change T1. The battery temperature change T2 is calculated by the weight of the influence of battery data, environmental data, and driving data. The temperature change T3 caused by the heat generated by the battery operation is calculated by T2-T1. It is then monitored whether T3 is within the normal preset temperature threshold. If it exceeds, it can be determined that the battery may have thermal runaway and generate excess heat.

[0041] Furthermore, performing noise reduction on the weight two-dimensional matrix includes: The weight two-dimensional matrix is ​​subjected to noise reduction by a Kalman filter, and setting parameters of the Kalman filter are dynamically adjusted according to changes in environmental data, driving data, and battery temperature.

[0042] Furthermore, the setting parameters of the Kalman filter include Q value; The settings for dynamically adjusting the Kalman filter include: If the change in one of the battery data, environmental data, and driving data is greater than the preset change, the Q value is increased; otherwise, the Q value is decreased.

[0043] In this step, the multiple impact weights of changes in battery data, environmental data, and driving data are combined to form a two-dimensional weight matrix. Each row of the two-dimensional weight matrix represents the impact weight of changes in battery data, environmental data, and driving data at the same time, and the columns of the two-dimensional weight matrix represent different time dimensions, thus forming a two-dimensional weight matrix. The two-dimensional weight matrix accumulates multiple historical data, allowing the long-term trend of battery temperature and battery data, environmental data, and driving data to be identified. Using the extracted weights and trend, we can infer the change of battery temperature over time. By repeatedly calculating the change in battery temperature at each moment, we can predict the battery temperature change curve over a period of time in the future.

[0044] However, the actual battery data, environmental data, driving data, etc. may be affected by jitter, noise, etc., so noise reduction processing is required. The Kalman filter can process and analyze data such as battery temperature, environmental changes, hull motion, etc. in real time, extract the changing trend of battery temperature, and predict the risk of thermal runaway. The core of dynamically adjusting the Q value is to adjust the noise model according to the changes in the system, so that the Kalman filter can adapt to the fluctuations of environmental data, driving data and battery data in real time. For example, when the change in one of the battery data, environmental data, and driving data is greater than the preset change, increasing the Q value can increase the sensitivity of the Kalman filter to drastic changes in the external environment.

[0045] Furthermore, in S214, estimating the temperature change of the battery based on the change trend of the weight two-dimensional matrix includes: According to current battery data, environmental data, and driving data, corresponding weights are extracted from the change trend of the weight two-dimensional matrix, and the temperature change of the battery is inferred based on the corresponding weights.

[0046] Furthermore, in S214, when the battery swapping ship is rigidly parked in the dock after sinking and supplies power to the mother ship, current battery data, environmental data, and driving data are collected, and the temperature change of the battery is inferred based on the change trend of the weight two-dimensional matrix, including: Add the weights corresponding to the currently acquired battery data, environmental data, and driving data to the first row, middle row, and last row of the weight two-dimensional matrix to form a weight verification matrix, and perform noise reduction on the weight verification matrix; Determine the deviation between the last row of the weight verification matrix after denoising and the change trend of the weight two-dimensional matrix. If the deviation is greater than the preset weight threshold, it is determined to be invalid data and step S214 is re-executed.

[0047] In this step, the current battery, environmental, and driving data are inserted into the first, middle, and last rows of the denoised weight matrix before denoising. Inserting the data into the first row assumes the current state occurs at the earliest stage of the battery temperature change process. This is used for comparison with the initial stage of the long-term historical weight change trend. If the new data causes significant overall trend fluctuations after insertion into the first row, it indicates that it is inconsistent with the original initial trend. Inserting the data into the middle row indicates that the current state occurs in the middle stage of the battery temperature change process, which can be used to test the degree of fit between the current data and the trend stage. If the smoothed result changes significantly after insertion, it indicates that the current behavior violates the mid-term dominant trend. Inserting the data into the last row indicates that the current state occurs at the current moment of the battery temperature change process. This is used to generate the latest trend forecast and obtain the continuity and direction of the weight change trend. Inserting the current data into different positions of the denoised weight matrix before denoising can evaluate the behavioral differences of the new data in the weight change trend space, thereby obtaining an analysis of the match between the current system state and the historical trend. If the deviation is greater than the preset weight threshold, it indicates that the currently acquired battery data, environmental data, and driving data have severe jitter, noise interference, etc., and the data needs to be discarded.

[0048] Furthermore, using the power of the battery-swap ship itself or the emergency towing device in the dock to drive the battery-swap ship away from the dock includes: When the remote control system of the battery-swapping vessel is effective, the battery-swapping vessel is controlled to exit the dock by remote control; When the remote control system of the battery-swapping boat fails, the emergency towing device in the dock can be used to pull the boat out of the dock.

[0049] In this embodiment, if the thermal runaway of the battery swapping ship also damages the remote control system of the battery swapping ship, the thermal runaway battery swapping ship can still rely on its own power system and control system to leave the dock. If the battery swapping ship has been damaged by the thermal runaway, it can be detached through the emergency towing device 5, refer to Figure 5 The emergency towing 5 can be a rope that passes around the bow of the battery swap ship. The rope passes through the fixed wheels at the left and right ends of the battery swap ship to form a W shape. By pulling the two ends of the rope, the battery swap ship can be dragged out of the dock and left.

[0050] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0051] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0053] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0054] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms should not be understood as necessarily referring to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

Claims

1. A method for emergency detachment of the entire battery compartment after thermal runaway of a ship's power battery occurs, characterized in that: Based on the offshore dock-type power exchange system, the offshore dock-type power exchange system includes a mother ship and a power exchange ship, the stern of the mother ship is provided with a dock, the dock is opened and closed by a dock door, the power exchange ship is provided with a power supply battery, the power exchange ship can be connected to the mother ship and supply power to the mother ship, and the following are executed during power exchange: S11, controlling the dock door to open, allowing seawater to enter the dock and causing the stern of the mother ship to sink, and using the seawater to float the power exchange ship with low power and leave the dock; S12, controlling the fully charged power exchange ship to enter the dock; S13, controlling the dock door to close, emptying the seawater in the dock, causing the stern of the mother ship to float, and making the fully charged power exchange ship rigidly parked in the dock; S14, supplying power to the mother ship through the fully charged power exchange ship; The emergency escape method comprises the following steps: S21, receiving a battery thermal runaway risk alarm message from the battery swapping vessel; S22: If the mother ship's fixed fire-fighting system is unable to effectively control the risk of thermal runaway of the battery in the battery swapping boat, immediately disconnect the cooling water and electrical connections between the battery swapping boat and the mother ship, and disconnect the rigid fixed connection between the battery swapping boat and the mother ship; S23, controlling the dock door to open, allowing seawater to enter the dock, causing the stern of the mother ship to sink, causing the battery swap ship in the dock to float, and using the battery swap ship's own power or the emergency towing device in the dock to drive the battery swap ship out of the dock; S24, after the battery-exchanging ship drives away from the mother ship by a preset distance, a rescue alarm is issued.

2. The method for emergency detachment of the entire battery compartment after thermal runaway of a marine power battery according to claim 1 is characterized in that: The battery thermal runaway risk is determined by the following methods: S211, while the battery swapping vessel is entering the dock, obtaining battery temperature, battery data, environmental data, and driving data at multiple times, and calculating changes in the battery temperature, battery data, environmental data, and driving data at each time compared to the previous time; S212, calculating the influence weight of changes in battery data, environmental data, and driving data on changes in battery temperature; S213, forming a two-dimensional weight matrix from the plurality of influence weights, performing noise reduction on the two-dimensional weight matrix, and extracting a change trend of the two-dimensional weight matrix; S214, while the battery swapping vessel is rigidly docked in the dock and supplying power to the mother ship, current battery data, environmental data, and driving data are collected, and a temperature change of the battery is estimated based on a change trend of the weighted two-dimensional matrix; S215 , calculating the difference between the estimated battery temperature change and the actual battery temperature change. If the difference is greater than a preset temperature threshold, it is determined that the battery has a thermal runaway risk.

3. The method for emergency detachment of a battery compartment after thermal runaway of a marine power battery according to claim 1 is characterized in that: The battery data includes one or more of battery voltage, state of charge, and battery health; The environmental data includes one or more of the environmental temperature, humidity, sea surface wind speed, wave amplitude, shaking degree, and salt spray concentration; The driving data includes one or more of driving acceleration, hull tilt angle, hull vibration amplitude, and hull vibration frequency.

4. The method for emergency detachment of the battery compartment after thermal runaway of a ship power battery according to claim 3 is characterized in that: A machine learning model is established and trained through changes in battery temperature, battery data, environmental data, and driving data to obtain impact weights.

5. The method for emergency detachment of the entire battery compartment after thermal runaway of a marine power battery according to claim 4 is characterized in that: The machine learning model is one of a linear regression model, a random forest model, and a gradient boosting tree model.

6. The method for emergency detachment of the entire battery compartment after thermal runaway of a marine power battery according to claim 2 is characterized in that: Denoising the weight two-dimensional matrix includes: The weight two-dimensional matrix is ​​subjected to noise reduction by a Kalman filter, and setting parameters of the Kalman filter are dynamically adjusted according to changes in environmental data, driving data, and battery temperature.

7. The method for emergency detachment of the entire battery compartment after thermal runaway of a marine power battery according to claim 6 is characterized in that: The setting parameters of the Kalman filter include Q value; The settings for dynamically adjusting the Kalman filter include: If the change in one of the battery data, environmental data, and driving data is greater than the preset change, the Q value is increased; otherwise, the Q value is decreased.

8. The method for emergency detachment of the entire battery compartment after thermal runaway of a marine power battery according to claim 2 is characterized in that: In S214, estimating the temperature change of the battery based on the change trend of the weight two-dimensional matrix includes: According to current battery data, environmental data, and driving data, corresponding weights are extracted from the change trend of the weight two-dimensional matrix, and the temperature change of the battery is inferred based on the corresponding weights.

9. The method for emergency detachment of the entire battery compartment after thermal runaway of a ship power battery according to claim 2 is characterized in that: S214, while the battery swapping vessel is rigidly docked in the dock and supplying power to the mother ship, current battery data, environmental data, and driving data are collected, and the temperature change of the battery is estimated based on the change trend of the weighted two-dimensional matrix, including: Add the weights corresponding to the currently acquired battery data, environmental data, and driving data to the first row, middle row, and last row of the weight two-dimensional matrix to form a weight verification matrix, and perform noise reduction on the weight verification matrix; Determine the deviation between the last row of the weight verification matrix after denoising and the change trend of the weight two-dimensional matrix. If the deviation is greater than the preset weight threshold, it is determined to be invalid data and step S214 is re-executed.

10. The method for emergency detachment of the entire battery compartment after thermal runaway of a ship power battery according to claim 1 is characterized in that: Using the power of the battery-swapping ship itself or the emergency towing device in the dock to drive the battery-swapping ship away from the dock includes: When the remote control system of the battery-swapping vessel is effective, the battery-swapping vessel is controlled to exit the dock by remote control; When the remote control system of the battery-swapping boat fails, the emergency towing device in the dock can be used to pull the boat out of the dock.

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