Multi-protocol compatible polar charging safety state sensing and early warning system

Abstract

The invention provides a multi-protocol compatible pole charging safety state sensing and early warning system, and relates to the technical field of pole charging safety state sensing. The data acquisition module acquires component data and environment data of the electrode charging system; the pole charging strategy generation module outputs a pole charging strategy; the electrode charging temperature rise prediction module outputs a temperature prediction curve of an electrode charging system component; the liquid cooling calculation module outputs an electrode charging system component temperature drop curve; the theoretical temperature obtaining module obtains the theoretical electrode charging system component temperature. The safety state sensing module judges whether the electrode charging process is safe or not. According to the invention, the technical barrier is broken through the multi-protocol compatibility, and the construction and operation cost of the polar charging network is reduced; through precise temperature control and active early warning, the worry of a user on pole charging safety is solved, the acceptance of a consumption end is improved, obstacles are cleared away for popularization of a high-power pole charging technology, the power-assisted electric two-wheeled vehicle industry breaks through the charging efficiency bottleneck, the target of faster and safer charging is accelerated, and the method has remarkable technical value and industrial significance.

Description

Technical Field

[0001] The present invention relates to the field of extreme charging safety state perception technology, and in particular to a multi-protocol compatible extreme charging safety state perception and warning system. Background Art

[0002] With the rapid development of the electric two-wheeled vehicle industry, high-power ultra-high-speed charging technology has become a key approach to addressing users' charging efficiency pain points. However, the high voltage and high current characteristics of ultra-high-speed charging pose severe safety challenges to charging system components (such as batteries, charging station modules, and cables). These issues, such as abnormally high temperatures, can easily lead to thermal runaway, equipment damage, and even accidents.

[0003] At the same time, there are many charging protocols on the current market, and different protocols have different definitions of safety boundaries and communication logic. In multi-protocol compatibility scenarios, traditional safety monitoring methods are difficult to adapt to the dynamic requirements of different protocols, and are prone to safety warning lags or misjudgments.

[0004] In addition, the thermal management complexity of the ultra-charging system has increased significantly, the components heat up quickly, the heat is unevenly distributed, and the dynamic response of cooling methods such as liquid cooling is often difficult to accurately match with the actual heat dissipation needs. The monitoring mode that simply relies on real-time temperature collection cannot predict the temperature change trend in advance, and it is difficult to meet the high requirements of the ultra-charging process for the timeliness and accuracy of safety warnings. Summary of the Invention

[0005] The present invention provides a multi-protocol compatible extreme charge safety state perception and early warning system to address the defects existing in the prior art.

[0006] The present invention provides a multi-protocol compatible extreme charging safety state perception and early warning system, comprising: The data acquisition module is used to collect charging system component data and environmental data.

[0007] The ultra-charging strategy generation module is used to obtain the ultra-charging protocol content, and combine it with the ultra-charging system component data, compare the ultra-charging system component data with the protocol security boundary to construct and solve the objective function, and output the ultra-charging strategy.

[0008] The extreme charging temperature rise prediction module is used to obtain the characteristic materials and characteristic parameters of the extreme charging system components, and establish a three-dimensional thermal network model in combination with the extreme charging strategy to output the temperature prediction curve of the extreme charging system components changing over time.

[0009] The liquid cooling calculation module is used to dynamically generate the real-time flow rate of the coolant according to the extreme charging strategy and extreme charging protocol content, and output the temperature drop curve of the extreme charging system components based on the heat exchange efficiency.

[0010] The theoretical temperature acquisition module is used to obtain the theoretical temperature of the charging system components based on the temperature prediction curve, temperature drop curve and heat loss.

[0011] The safety state perception module is used to set the difference threshold between the theoretical temperature of the charging system components and the actual temperature of the charging system components, and judge whether the charging process is safe based on the difference between the theoretical temperature of the charging system components and the actual temperature of the charging system components.

[0012] According to the multi-protocol compatible charging safety state perception and warning system provided by the present invention, charging system component data includes charging pile data, charging gun line data, and charging battery data. Charging pile data includes output current, liquid cooling system inlet and outlet temperatures, and coolant flow rate. Charging gun line data includes conductor core temperature, surface temperature, and connector contact resistance. Charging battery data includes single cell voltage range, maximum cell temperature, and battery state of charge. Environmental data includes ambient temperature and ambient wind speed.

[0013] The multi-protocol compatible ultra-high-charge safety state perception and warning system provided by the present invention includes ultra-high-charge protocol content, including safety boundary parameters and cooling constraint parameters. Safety boundary parameters include maximum charging current, maximum temperature, and maximum temperature rise rate. Cooling constraint parameters include maximum coolant flow rate and minimum heat exchange efficiency.

[0014] According to the multi-protocol compatible extreme charging safety state perception and warning system provided by the present invention, the process of outputting the extreme charging strategy includes: According to the content of the JiChong protocol, semantic parsing technology is used to extract security boundary parameters.

[0015] According to the data of the components of the charging system, the time series alignment technology is used to obtain the aligned input vector.

[0016] According to the safety margin parameters and input vector, a receding horizon optimization algorithm with constraints is used to establish and solve the objective function.

[0017] According to the optimization solution results and control sequence decoding, the extreme charging strategy is obtained, which includes the dynamic current curve.

[0018] The multi-protocol compatible charging safety status perception and warning system provided by the present invention comprises charging piles, charging gun cables, and charging batteries. Characteristic materials include the pile copper busbar, gun cable conductors, and battery tabs. Characteristic parameters include geometry, thermal resistance, electrical resistance, and heat capacity.

[0019] According to the multi-protocol compatible extreme charging safety state perception and warning system provided by the present invention, the process of establishing a three-dimensional thermal network model includes: According to the geometric structure of the components of the charging system, the unstructured grid division technology is used to obtain the spatial grid model of the characteristic material.

[0020] Parameter mapping is used to assign thermal resistance and thermal capacitance to each grid node in the spatial grid model.

[0021] According to the basic law of heat conduction, the energy conservation principle is used to establish the thermal balance equation of the grid nodes and obtain the three-dimensional thermal network model.

[0022] According to the multi-protocol compatible extreme charge safety state perception and warning system provided by the present invention, the process of outputting a temperature prediction curve that changes over time includes: According to the dynamic current curve, the Joule heat calculation is performed on the copper busbar of the pile and the gun wire to obtain the heating power of the charging pile and the charging gun wire.

[0023] Based on the extremely charged battery data, the polarization voltage model is used to calculate the battery heating power.

[0024] Heat source mapping is used to load the heating power of the charging pile and charging gun line and the heating power of the battery to the corresponding grid nodes.

[0025] According to the thermal network model, explicit Euler numerical integration is used to solve the temperature evolution with time.

[0026] The solution results are spatially interpolated to output a prediction curve of the temperature change over time at any position on the charging system components.

[0027] According to the multi-protocol compatible extreme charge safety state perception and warning system provided by the present invention, the process of dynamically generating the real-time flow rate of the coolant includes: Based on the maximum temperature and the real-time predicted temperature, the temperature deviation control algorithm is used to calculate the basic flow rate requirement.

[0028] A differential regulator is used to generate flow rate compensation according to the current change rate.

[0029] Combined with the security boundary of the protocol constraints, a saturation function is used to output the real-time flow rate.

[0030] According to the multi-protocol compatible charging safety state perception and warning system provided by the present invention, the process of outputting the temperature drop curve of the charging system components based on the heat exchange efficiency includes: According to the real-time flow velocity, the transient convective heat transfer coefficient is calculated using the turbulence correction model.

[0031] Combined with the heat balance equation of the grid nodes, the energy conservation equation is used to calculate the local temperature drop.

[0032] The implicit Euler method is used to numerically solve the problem and output the time-varying temperature drop curve.

[0033] According to the multi-protocol compatible charging safety state perception and warning system provided by the present invention, the process of obtaining the theoretical charging system component temperature includes: According to the spatial coordinate mapping, the weighted synthesis algorithm is used to calculate the equivalent temperature drop of the charging system components.

[0034] Calculate air convection compensation based on ambient wind speed.

[0035] The theoretical temperature of the charging system components is obtained by integrating the real-time predicted temperature, the equivalent temperature drop of the charging system components and the air convection compensation.

[0036] The multi-protocol compatible ultra-high-voltage charging safety state perception and warning system provided by this invention dynamically analyzes the safety boundaries of different protocols through an ultra-high-voltage charging strategy generation module. It combines real-time collected system component data to construct an objective function, ensuring that the ultra-high-voltage charging strategy always adapts to the safety thresholds required by the protocol when switching between multiple scenarios, such as national standards, European standards, and vehicle manufacturer proprietary protocols. This avoids charging parameter conflicts caused by protocol incompatibility, reduces safety blind spots during protocol adaptation, and significantly reduces the risk of equipment damage during cross-protocol charging, providing core security protection for ultra-high-voltage charging networks shared by multiple brands and models.

[0037] The Extreme Charge Temperature Rise Prediction Module constructs a three-dimensional thermal network model, combining component material properties with the Extreme Charge strategy to generate temperature curves in advance. The Liquid Cooling Calculation Module dynamically generates coolant flow rates, precisely matching heat dissipation requirements with cooling capacity. This predictive control linkage mechanism addresses the passive response lag inherent in traditional thermal management, avoiding both energy waste from excessive cooling and localized overheating caused by insufficient cooling. This ensures that the Extreme Charge system maintains a safe temperature range even during high-power operation.

[0038] By setting a threshold for the difference between theoretical and actual temperatures, the theoretical temperature reflects the system's expected normal state based on a comprehensive calculation of temperature rise predictions, cooling effects, and heat loss. Meanwhile, the actual temperature is captured in real time by the data acquisition module, and the difference between the two can quickly identify anomalies such as sensor failures and precursors to thermal runaway. Compared to traditional monitoring methods that rely solely on real-time temperature, this can proactively identify potential risks, upgrading safety warnings from post-alert to pre-emptive intervention, significantly improving safety redundancy during the charging process.

[0039] Multi-protocol compatibility breaks down technical barriers and reduces the construction and operating costs of the ultra-charging network. Precise temperature control and proactive early warnings address user concerns about ultra-charging safety, increasing consumer acceptance. This technology clears obstacles to the widespread adoption of high-power ultra-charging technology, helping the electric two-wheeled vehicle industry overcome charging efficiency bottlenecks and accelerate progress toward faster and safer charging, possessing significant technical value and industrial significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 1 is a schematic structural diagram of a multi-protocol compatible extreme charging safety state perception and warning system provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of the process of establishing a three-dimensional thermal network model in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0043] The following combination Figure 1-Figure 2 The present invention describes a multi-protocol compatible extremely safe state perception and early warning system.

[0044] Figure 1 It is a structural diagram of a multi-protocol compatible extreme charging safety state perception and warning system provided by an embodiment of the present invention.

[0045] like Figure 1 As shown, the multi-protocol compatible extreme charging safety state perception and warning system provided by the embodiment of the present invention includes a data acquisition module, an extreme charging strategy generation module, an extreme charging temperature rise prediction module, a liquid cooling temperature reduction calculation module, a theoretical temperature acquisition module and a safety state perception module.

[0046] The data acquisition module is used to collect charging system component data and environmental data.

[0047] Charging system component data includes charging pile data, charging gun cable data, and charging battery data. Charging pile data includes output current, liquid cooling system inlet and outlet temperatures, and coolant flow rate. Charging gun cable data includes conductor core temperature, surface temperature, and connector contact resistance. Charging battery data includes cell voltage range, maximum cell temperature, and battery state of charge. Environmental data includes ambient temperature and wind speed.

[0048] The ultra-charging strategy generation module is used to obtain the ultra-charging protocol content, and combine it with the ultra-charging system component data, compare the ultra-charging system component data with the protocol security boundary to construct the objective function and solve it, and output the ultra-charging strategy.

[0049] The Extreme Charge Protocol includes safety margin parameters and cooling constraint parameters. Safety margin parameters include maximum charging current, maximum temperature, and maximum temperature rise rate. Cooling constraint parameters include maximum coolant flow rate and minimum heat exchange efficiency.

[0050] The process of outputting the extreme charging strategy includes: According to the content of the JiChong protocol, semantic parsing technology is used to extract security boundary parameters.

[0051] According to the data of the components of the charging system, the time series alignment technology is used to obtain the aligned input vector .

[0052] According to the safety margin parameters and input vector, the rolling horizon optimization algorithm with constraints is used to establish and solve the objective function. The objective function formula is expressed as: The constraint formula is expressed as: Where, represents the prediction step length, represents the current tracking weight coefficient, represents the temperature safety weight coefficient, represents the predicted current value at step k, Indicates the maximum allowable current. represents the temperature prediction value at step k, represents the temperature prediction value at step k-1, represents the reference current curve, represents the time step, Indicates the maximum temperature rise rate, Indicates the maximum allowable temperature.

[0053] According to the optimization solution results and control sequence decoding, the extreme charging strategy is obtained, which includes the dynamic current curve.

[0054] The extreme charging temperature rise prediction module is used to obtain the characteristic materials and characteristic parameters of the extreme charging system components, and establish a three-dimensional thermal network model in combination with the extreme charging strategy to output the temperature prediction curve of the extreme charging system components changing over time.

[0055] The components of a charging system include the charging pile, charging gun cable, and charging battery. Characteristic materials include the pile copper busbar, gun cable conductor, and battery tabs. Characteristic parameters include geometry, thermal resistance, electrical resistance, and heat capacity.

[0056] Figure 2 It is a schematic diagram of the process of establishing a three-dimensional thermal network model in an embodiment of the present invention.

[0057] like Figure 2 As shown in Figure 2, the process of establishing a three-dimensional thermal network model includes: According to the geometric structure of the components of the charging system, the unstructured grid division technology is used to obtain the spatial grid model of the characteristic material.

[0058] Parameter mapping is used to assign thermal resistance and thermal capacitance to each grid node in the spatial grid model.

[0059] According to the basic law of heat conduction, the energy conservation principle is used to establish the grid node heat balance equation to obtain a three-dimensional thermal network model. The grid node heat balance equation formula is expressed as: Where, represents the heat capacity of node i, represents the temperature change rate of node i, represents the set of nodes adjacent to node i, represents the temperature of the adjacent node j, represents the current temperature of node i, represents the thermal resistance between node i and adjacent node j, represents the heating power of node i.

[0060] The process of outputting a temperature prediction curve that changes over time includes: According to the dynamic current curve, the Joule heat calculation of the pile copper busbar and the gun wire is performed to obtain the heating power of the charging pile and the charging gun wire. The formula is expressed as: Where, represents the time-dependent AC resistance taking into account the skin effect, represents the resistance of the conductor material, d represents the skin depth coefficient, represents the magnetic permeability of vacuum, and f represents the operating frequency of current.

[0061] According to the data of the extremely charged battery, the polarization voltage model is used to calculate the battery heating power. The formula is expressed as: Where, represents the current at time t, represents the open circuit voltage, Represents the battery terminal voltage at time t.

[0062] Heat source mapping is used to load the heating power of the charging pile and charging gun line and the heating power of the battery to the corresponding grid nodes.

[0063] According to the thermal network model, explicit Euler numerical integration is used to solve the evolution of temperature over time, which is expressed as: Where, represents the temperature of node i at the nth time step, represents the time step, represents the heat capacity of node i, represents the temperature of node j at the nth time step, represents the thermal resistance between node i and adjacent node j, represents the heating power of node i.

[0064] The solution results are spatially interpolated to output a prediction curve of the temperature change over time at any position on the charging system components.

[0065] The liquid cooling calculation module is used to dynamically generate the real-time flow rate of the coolant according to the charging strategy and charging protocol content, and output the temperature drop curve of the charging system components based on the heat exchange efficiency.

[0066] The process of dynamically generating the real-time coolant flow rate includes: Based on the maximum temperature and the real-time predicted temperature, the temperature deviation control algorithm is used to calculate the basic flow rate requirement. The formula is: Where, represents the system flow rate gain coefficient, Indicates the real-time predicted temperature, Indicates the temperature control start threshold. It represents the maximum allowable temperature, and n represents the nonlinear adjustment index.

[0067] According to the current change rate, a differential regulator is used to generate the flow rate compensation, which is expressed as follows: Where, represents the differential gain coefficient, Indicates the absolute value of the rate of change of the current curve of the extreme charge strategy.

[0068] Combined with the security boundary of the protocol constraints, a saturation function is used to output the real-time flow rate. The formula is expressed as: Where sat(·) represents the saturation limiting function, Indicates the minimum coolant flow rate, Indicates the maximum coolant flow rate.

[0069] The process of outputting the temperature drop curve of the charging system components based on the heat exchange efficiency includes: According to the real-time flow rate, the transient convective heat transfer coefficient is calculated using the turbulence correction model, which is expressed as follows: Where, represents the thermal conductivity of the coolant, D represents the characteristic length, Indicates the coolant density, Indicates the coolant dynamic viscosity, Indicates the real-time flow rate. represents the Reynolds number correlation parameter, m represents the Reynolds number exponent, Pr represents the Prandtl number, and n represents the Prandtl number exponent.

[0070] Combined with the heat balance equation of the grid nodes, the energy conservation equation is used to calculate the local temperature drop, which can be expressed as: Where, represents the mass flow rate flowing through node i, Indicates the specific heat capacity of coolant at constant pressure, represents the rate of change of node i temperature over time, represents the convective heat transfer coefficient at position j, represents the heat exchange area, represents the solid wall temperature at position j, Indicates the local temperature of the coolant. Indicates the current heating power of node i.

[0071] The implicit Euler method is used to numerically solve the problem and output the time-varying temperature drop curve. The formula is: Where, Indicates the real-time predicted temperature, Represents the numerically solved temperature.

[0072] The theoretical temperature acquisition module is used to obtain the theoretical temperature of the charging system components based on the temperature prediction curve, temperature drop curve, and heat loss. The process includes: According to the spatial coordinate mapping, the weighted synthesis algorithm is used to calculate the equivalent temperature drop of the charging system components. The formula is expressed as: Where, represents the position weight factor, Indicates location Liquid cooling temperature drop at time t.

[0073] Combined with the ambient wind speed, the air convection compensation is calculated. The formula is expressed as: Where, represents the convection compensation coefficient, Indicates the ambient wind speed, Indicates the ambient temperature, Indicates the real-time value of the component surface temperature.

[0074] The theoretical temperature of the charging system components is obtained by integrating the real-time predicted temperature, the equivalent temperature drop of the charging system components, and the air convection compensation. The formula is expressed as: Where, Indicates the real-time predicted temperature, Indicates the equivalent temperature drop of the charging system components. Indicates air convection compensation.

[0075] The safety state perception module is used to set the difference threshold between the theoretical temperature of the charging system components and the actual temperature of the charging system components, and judge whether the charging process is safe based on the difference between the theoretical temperature of the charging system components and the actual temperature of the charging system components.

[0076] In this embodiment, the security state perception module can be implemented around a three-level response mechanism.

[0077] A basic deviation threshold is set. When the monitoring data shows that the difference between the theoretical temperature and the actual temperature exceeds the basic deviation threshold but does not exceed the warning threshold, the system enters the first-level response. At this time, the system will enhance monitoring measures, increase the temperature data sampling frequency to the millisecond level, and start a high-speed data cache mechanism to fully record the temperature change trend. At the same time, a slope reduction instruction is sent to the extreme charging strategy generation module to reduce the rising slope of the charging current and slow down the temperature rise rate. A gradient adjustment command is sent to the liquid cooling calculation module to increase the coolant flow rate in stages to increase the thermal capacity buffer. After performing these actions, the response effect is continuously monitored. If the deviation value does not return to the safe zone within several monitoring cycles, it will automatically upgrade to the second-level response to eliminate potential risk accumulation.

[0078] If the temperature deviation exceeds the warning threshold, or if an abnormal increase in the temperature gradient of a key part is detected, the system will immediately enter the second-level response. The system will send a power reduction command to the charging pile power unit to reduce the output power, and at the same time activate the dynamic boost mode of the liquid cooling system to instantly increase the coolant flow. In addition, the fault pre-diagnosis engine will be started to compare the current temperature distribution with the historical fault feature library to identify potential fault modes. For different situations, the system has corresponding composite protection strategies: if it is a short-term fluctuation, it will maintain the second-level response for a few seconds and then automatically evaluate whether to fall back to the first level; if the situation continues to deteriorate, it will be forced to upgrade to the third-level response after a countdown of 5 seconds; if a local hotspot is detected, the local fuse mechanism will be triggered immediately.

[0079] When the emergency fuse threshold is reached, or when spatial hotspot location indicates that the temperature difference in a certain area exceeds the material safety limit, the system initiates a three-level response, irreversible protection process. First, electrical isolation protection is implemented, sending a three-level power-off unlock command to the charging pile power unit. The power modules are sequentially de-energized, first disconnecting the DC output contactor, then disconnecting the AC input switch, and activating the backup capacitor discharge circuit to ensure the system drops to a safe voltage within 200ms. Next, enhanced cooling measures are implemented, activating the liquid cooling system's emergency circulation mode to continuously flush the hot zone at maximum flow. Backup refrigeration units are activated in parallel to form a dual-circuit forced cooling system. Simultaneously, a joint cooling command is sent to the battery management system to activate the cell-level phase change material. Finally, fault location and reporting are implemented. Based on the 3D thermal field reconstruction results, the fault core coordinates are annotated, and a holographic fault report is generated, including the temperature evolution curve, protection action sequence, and environmental impact parameters. This report is uploaded to the cloud diagnostic center via a secure protocol tunnel and simultaneously sent to the maintenance personnel's mobile device. The protection state is maintained until manually authorized to reset. A maintenance work order is automatically generated, key components are marked for inspection, a historical fault signature database is updated, and early warning parameters for similar equipment are optimized, thus forming a closed-loop safety state.

[0080] In summary, this embodiment provides a multi-protocol compatible ultra-high-voltage charging safety state perception and warning system. The ultra-high-voltage charging strategy generation module dynamically analyzes the safety boundaries of different protocols and constructs an objective function based on real-time collected system component data. This ensures that when switching between multiple scenarios, such as national standards, European standards, and car company proprietary protocols, the ultra-high-voltage charging strategy always adapts to the safety thresholds required by the protocol. This avoids charging parameter conflicts caused by protocol incompatibility, reduces safety blind spots during protocol adaptation, and significantly reduces the risk of equipment damage during cross-protocol charging, providing core security protection for ultra-high-voltage charging networks shared by multiple brands and models.

[0081] The Extreme Charge Temperature Rise Prediction Module constructs a three-dimensional thermal network model, combining component material properties with the Extreme Charge strategy to generate temperature curves in advance. The Liquid Cooling Calculation Module dynamically generates coolant flow rates, precisely matching heat dissipation requirements with cooling capacity. This predictive control linkage mechanism addresses the passive response lag inherent in traditional thermal management, avoiding both energy waste from excessive cooling and localized overheating caused by insufficient cooling. This ensures that the Extreme Charge system maintains a safe temperature range even during high-power operation.

[0082] By setting a threshold for the difference between theoretical and actual temperatures, the theoretical temperature reflects the system's expected normal state based on a comprehensive calculation of temperature rise predictions, cooling effects, and heat loss. Meanwhile, the actual temperature is captured in real time by the data acquisition module, and the difference between the two can quickly identify anomalies such as sensor failures and precursors to thermal runaway. Compared to traditional monitoring methods that rely solely on real-time temperature, this can proactively identify potential risks, upgrading safety warnings from post-alert to pre-emptive intervention, significantly improving safety redundancy during the charging process.

[0083] Multi-protocol compatibility breaks down technical barriers and reduces the construction and operating costs of the ultra-charging network. Precise temperature control and proactive early warnings address user concerns about ultra-charging safety, increasing consumer acceptance. This technology clears obstacles to the widespread adoption of high-power ultra-charging technology, helping the electric two-wheeled vehicle industry overcome charging efficiency bottlenecks and accelerate progress toward faster and safer charging, possessing significant technical value and industrial significance.

[0084] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A multi-protocol compatible extreme charge safety state perception and warning system, characterized by: include: Data acquisition module, used to collect charging system component data and environmental data; A supercharge strategy generation module is used to obtain the supercharge protocol content, and in combination with the supercharge system component data, compare the supercharge system component data with the protocol security boundary to construct an objective function and solve it, and output the supercharge strategy; The extreme charging temperature rise prediction module is used to obtain the characteristic materials and characteristic parameters of the extreme charging system components, establish a three-dimensional thermal network model based on the extreme charging strategy, and output the temperature prediction curve of the extreme charging system components over time; A liquid cooling temperature drop calculation module is used to dynamically generate the real-time flow rate of the coolant according to the extreme charging strategy and the extreme charging protocol content, and output the temperature drop curve of the extreme charging system components according to the heat exchange efficiency; A theoretical temperature acquisition module is used to obtain the theoretical temperature of the charging system components based on the temperature prediction curve, the temperature drop curve, and the heat loss; The safety state perception module is used to set a threshold value for the difference between the theoretical temperature of the charging system components and the actual temperature of the charging system components, and to determine whether the charging process is safe based on the difference between the theoretical temperature of the charging system components and the actual temperature of the charging system components.

2. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 1 is characterized in that: The charging system component data includes charging pile data, charging gun line data and charging battery data; the charging pile data includes output current, liquid cooling system inlet temperature and outlet temperature, and coolant flow rate; the charging gun line data includes conductor core wire temperature, surface temperature and connector contact resistance; the charging battery data includes single cell voltage extreme difference, maximum cell temperature and battery charge state; the environmental data includes ambient temperature and ambient wind speed.

3. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 1 is characterized in that: The content of the extreme charging protocol includes safety boundary parameters and cooling constraint parameters; the safety boundary parameters include maximum charging current, maximum temperature and maximum temperature rise rate; the cooling constraint parameters include maximum coolant flow and minimum heat exchange efficiency.

4. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 2 is characterized in that: The process of outputting the extreme charging strategy includes: According to the content of the JiChong protocol, semantic parsing technology is used to extract security boundary parameters; According to the data of the charging system components, a time series alignment technology is used to obtain an aligned input vector; According to the safety margin parameters and the input vector, a rolling horizon optimization algorithm with constraints is used to establish and solve the objective function; According to the optimization solution and control sequence decoding, a charging strategy is obtained, which includes a dynamic current curve.

5. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 4 is characterized in that: The components of the charging system include charging piles, charging gun wires and charging batteries; the characteristic materials include pile copper busbars, gun wire conductors and battery tabs; the characteristic parameters include geometric structure, thermal resistance, electrical resistance and heat capacity.

6. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 5 is characterized in that: The process of building a 3D thermal network model includes: According to the geometric structure of the components of the extreme charging system, a spatial grid model of the characteristic material is obtained by using an unstructured grid division technology; assigning thermal resistance and thermal capacity to each grid node in the spatial grid model using parameter mapping; According to the basic law of heat conduction, the energy conservation principle is used to establish the thermal balance equation of the grid nodes and obtain the three-dimensional thermal network model.

7. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 5 is characterized in that: The process of outputting a temperature prediction curve that changes over time includes: According to the dynamic current curve, the Joule heat calculation is performed on the pile copper busbar and the gun wire conductor to obtain the heating power of the charging pile and the charging gun wire; Calculating the battery heating power using a polarization voltage model based on the extremely charged battery data; Heat source mapping is used to load the heating power of the charging pile and charging gun line and the heating power of the battery to the corresponding grid nodes; According to the thermal network model, explicit Euler numerical integration is used to solve the evolution of temperature over time; The solution results are spatially interpolated to output a prediction curve of the temperature change over time at any position on the charging system components.

8. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 1 is characterized in that: The process of dynamically generating the real-time coolant flow rate includes: Based on the maximum temperature and real-time predicted temperature, the temperature deviation control algorithm is used to calculate the basic flow rate requirement; According to the current change rate, a differential regulator is used to generate flow rate compensation; Combined with the security boundary of the protocol constraints, a saturation function is used to output the real-time flow rate.

9. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 7 is characterized in that: The process of outputting the temperature drop curve of the charging system components based on the heat exchange efficiency includes: Calculating the transient convective heat transfer coefficient using a turbulence correction model according to the real-time flow velocity; In combination with the grid node heat balance equation, the energy conservation equation is used to calculate the local temperature drop; The implicit Euler method is used to numerically solve the problem and output the time-varying temperature drop curve.

10. The multi-protocol compatible extreme charge safety state perception and warning system according to claim 1, characterized in that: The process of obtaining the theoretical charging system component temperature includes: According to the spatial coordinate mapping, the weighted synthesis algorithm is used to calculate the equivalent temperature drop of the charging system components; Calculate air convection compensation based on ambient wind speed; The theoretical temperature of the charging system components is obtained by integrating the real-time predicted temperature, the equivalent temperature drop of the charging system components and the air convection compensation.

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