Energy release method and device of electric vehicle, storage medium and electronic equipment

Abstract

The invention discloses an energy release method and device of an electric vehicle, a storage medium and electronic equipment. The method comprises the following steps: acquiring running state data of a target electric vehicle; based on the operation state data, determining a target safety state index of the target electric vehicle; under the condition that the target safety state index is larger than a preset energy release threshold value and smaller than a preset emergency threshold value, a target energy release power curve of the target electric vehicle is determined based on the target safety state index, and the target energy release power curve is used for describing target energy release power corresponding to multiple moments of the target electric vehicle in the energy release period; target energy release equipment for receiving energy of the target electric vehicle is determined; and according to the target energy release power curve, target energy release equipment is adopted, and energy release is conducted on the target electric vehicle. The technical problem that in the prior art, the energy release effect of an electric automobile is not ideal is solved.

Description

Technical Field

[0001] This application relates to the field of electric vehicle management, and more specifically, to a method, apparatus, storage medium, and electronic device for discharging energy from an electric vehicle. Background Technology

[0002] With the increasing number of electric vehicles on the road, charging stations, as the main equipment for the power source and conversion of electric vehicles, are also being widely deployed. However, electric vehicle safety accidents have occurred frequently in recent years, especially battery thermal runaway and explosions in charging scenarios, which may spread to other electric vehicles and cause more serious harm. Timely energy release of electric vehicles can effectively prevent battery thermal runaway accidents.

[0003] Related technologies primarily utilize battery management systems to detect the electric vehicle's status during charging. Upon detecting abnormal conditions, such as excessively high battery temperature, abnormal voltage, or sudden current changes, the charging process is interrupted to release energy from the electric vehicle and prevent thermal runaway. However, this method lacks a proactive prevention mechanism and cannot identify and eliminate potential safety hazards at an early stage. Therefore, these technologies suffer from the technical problem of ineffective energy release for electric vehicles.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This application provides a method, apparatus, storage medium, and electronic device for releasing energy from electric vehicles, so as to at least solve the technical problem of unsatisfactory energy release effect of electric vehicles in related technologies.

[0006] According to one aspect of the embodiments of this application, a method for energy release of an electric vehicle is provided, comprising: acquiring operating status data of a target electric vehicle; determining a target safety status index of the target electric vehicle based on the operating status data; determining a target energy release power curve of the target electric vehicle based on the target safety status index when the target safety status index is greater than a preset energy release threshold and less than a preset emergency threshold, wherein the target energy release power curve is used to describe the target energy release power of the target electric vehicle at multiple moments within the energy release cycle; determining a target energy release device to receive the energy of the target electric vehicle; and releasing energy from the target electric vehicle using the target energy release device according to the target energy release power curve.

[0007] According to another aspect of the embodiments of this application, an energy release device for an electric vehicle is provided, comprising: a data acquisition module for acquiring operating status data of a target electric vehicle; a first determination module for determining a target safety status index of the target electric vehicle based on the operating status data; a second determination module for determining a target energy release power curve of the target electric vehicle based on the target safety status index when the target safety status index is greater than a preset energy release threshold and less than a preset emergency threshold, wherein the target energy release power curve is used to describe the target energy release power corresponding to multiple moments within the energy release cycle of the target electric vehicle; a third determination module for determining a target energy release device to receive the energy of the target electric vehicle; and an energy release module for releasing energy from the target electric vehicle using the target energy release device according to the target energy release power curve.

[0008] According to another aspect of the embodiments of this application, a non-volatile storage medium is provided, which stores a plurality of instructions adapted for a method for discharging energy from an electric vehicle, any one of which is loaded by a processor.

[0009] According to another aspect of the embodiments of this application, an electronic device is provided, including: one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any one of the energy dissipation methods for an electric vehicle.

[0010] According to another aspect of the embodiments of this application, a computer program product is provided, which, when executed on a data processing device, is adapted to perform the steps of a method for releasing energy in an electric vehicle.

[0011] In this embodiment, the following steps are taken: 1) Obtain the operating status data of the target electric vehicle; 2) Determine the target safety status index of the target electric vehicle based on the operating status data; 3) When the target safety status index is greater than a preset energy discharge threshold and less than a preset emergency threshold, determine the target energy discharge power curve of the target electric vehicle based on the target safety status index. The target energy discharge power curve describes the target energy discharge power of the target electric vehicle at multiple moments within the energy discharge cycle; 4) Determine the target energy discharge device to receive the energy from the target electric vehicle; 5) Discharge the energy from the target electric vehicle using the target energy discharge device according to the target energy discharge power curve. This achieves the technical effect of improving the energy discharge effect of the target electric vehicle by determining the target safety status index of the target electric vehicle based on the obtained operating status data, and discharging the energy from the target electric vehicle using the target energy discharge device according to the determined target energy discharge power curve when the target safety status index is greater than a preset energy discharge threshold and less than a preset emergency threshold. This solves the technical problem of unsatisfactory energy discharge effect of electric vehicles in related technologies. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0013] Figure 1 This is a flowchart of an energy dissipation method for an electric vehicle according to an embodiment of this application;

[0014] Figure 2 This is a flowchart of an optional energy dissipation method for an electric vehicle according to an embodiment of this application;

[0015] Figure 3 This is a schematic diagram of an optional target energy leakage power curve provided according to an embodiment of this application;

[0016] Figure 4 This is a schematic diagram of an optional energy dissipation device for an electric vehicle according to an embodiment of this application. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] According to an embodiment of this application, a method embodiment for a method of releasing energy in an electric vehicle is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0020] Figure 1 This is a flowchart of an energy dissipation method for an electric vehicle according to an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps:

[0021] Step S102: Obtain the operating status data of the target electric vehicle;

[0022] It is understandable that operational status data of the target electric vehicle can be obtained from its battery management system. This operational status data may include, but is not limited to, battery temperature, battery capacity after degradation, and battery state of charge. Efficient and accurate acquisition of operational status data lays the foundation for subsequent determination of the target electric vehicle's safety state index and energy leakage assessment.

[0023] Step S104: Based on the operating status data, determine the target safety status index of the target electric vehicle;

[0024] It is understandable that by analyzing the operating status data of the target electric vehicle and determining the target safety status index of the target electric vehicle, a quantitative assessment of the battery thermal runaway risk of the target electric vehicle can be achieved, thereby enabling the early identification of potential battery thermal runaway threats and the implementation of energy release measures in advance.

[0025] In one optional embodiment, determining the target safety status index of the target electric vehicle based on operational status data includes: determining multiple characteristic parameters of the target electric vehicle based on operational status data; and determining the target safety status index based on the multiple characteristic parameters and the weights corresponding to the multiple characteristic parameters.

[0026] It is understandable that by analyzing operational status data, multiple characteristic parameters of the target electric vehicle can be determined, such as the rate of temperature rise, the maximum temperature difference of the battery pack, the maximum voltage difference of the battery pack, and the heat generation rate. Based on these multiple characteristic parameters and their respective weights, a weighted summation method is used to determine the target safety state index of the target electric vehicle. Determining the target safety state index, by comprehensively considering multiple characteristic parameters and assigning different weights, can more comprehensively and accurately assess the battery thermal runaway risk of the target electric vehicle, avoiding the limitations of single-parameter warnings, improving the accuracy and timeliness of battery thermal runaway risk identification, and thus improving the energy dissipation effect of the target electric vehicle.

[0027] Optionally, a safety status assessment can be performed on the target electric vehicle in the charging scenario to determine its target safety status index. This can be achieved by relying on a controller embedded in the charging pile to read data such as voltage, current, and time on the charging side, as well as data such as battery temperature, battery capacity after degradation, and battery state of charge (i.e., operational status data) from the target electric vehicle's battery management system. Based on this data, the target safety status index of the target electric vehicle is determined.

[0028] Optionally, the target safety state index can be determined by normalizing and weighted summing multiple characteristic parameters of the target electric vehicle. These characteristic parameters include the rate of temperature rise, the maximum temperature difference of the battery pack, the maximum voltage difference of the battery pack, and the heat generation rate. To eliminate the influence of dimensions, normalization techniques (such as the Sigmoid function) can be used to map each characteristic parameter to the [0, 1] interval.

[0029] Alternatively, the target security status index S can be determined in the following way:

[0030]

[0031] in, Represents the normalized th i One feature parameter, Indicates the first i The weights of each feature parameter.

[0032] Step S106: When the target safety state index is greater than the preset energy leakage threshold and less than the preset emergency threshold, the target energy leakage power curve of the target electric vehicle is determined based on the target safety state index. The target energy leakage power curve is used to describe the target energy leakage power of the target electric vehicle at multiple moments in the energy leakage cycle.

[0033] It is understandable that if the target safety state index is greater than the preset energy leakage threshold but less than the preset emergency threshold, it indicates that the target electric vehicle's battery has a potential risk of thermal runaway, but there is still an opportunity to actively mitigate this situation through energy leakage, thus preventing the occurrence of battery thermal runaway. In this case, based on the target safety state index, a target energy leakage power curve for the target electric vehicle is determined. This curve describes the target energy leakage power at multiple moments within the energy leakage cycle, referring to the maximum power that the energy leakage device is allowed to extract from the target electric vehicle at the corresponding moment. By generating the target energy leakage power curve, the active defense capability and energy management efficiency of the target electric vehicle in the face of battery thermal runaway risk can be improved, making a significant contribution to enhancing the charging safety of the target electric vehicle.

[0034] Optionally, the need for energy release of the target electric vehicle can be determined based on the target safety state index. If the target safety state index is greater than or equal to a preset emergency threshold, it indicates that the target electric vehicle is highly susceptible to battery thermal runaway, and measures such as cutting off the power supply and triggering audible and visual alarms are taken. If the target safety state index is less than the preset emergency threshold but greater than the preset energy release threshold, a safe energy release power curve (i.e., the target energy release power curve) is dynamically generated for the target electric vehicle. The safe energy release power curve defines the maximum power that can be extracted from the target electric vehicle at each moment during the subsequent energy release cycle. The determination of the safe energy release power curve needs to consider multiple factors, including the target safety state index (when the risk is high, the initial target energy release power can be larger, but the energy release rate needs to be limited), the maximum discharge power allowed by the target electric vehicle's BMS (Battery Management System) (i.e., the preset discharge power threshold), and the battery temperature and SOC (State of Charge) of the target electric vehicle (to ensure that the energy release process itself does not generate excessive heat), etc.

[0035] In one optional embodiment, determining the target energy discharge power curve of the target electric vehicle based on the target safety state index includes: determining the first energy discharge power of the target electric vehicle based on the target safety state index, the preset energy discharge power of the target electric vehicle, and the preset energy discharge threshold; determining the initial energy discharge power of the target electric vehicle based on the preset discharge power threshold of the target electric vehicle and the first energy discharge power; and determining the target energy discharge power curve based on the initial energy discharge power.

[0036] It is understandable that the first energy discharge power of the target electric vehicle is determined based on its target safety state index, preset energy discharge power, and preset energy discharge threshold. The initial energy discharge power of the target electric vehicle is then determined based on its preset discharge power threshold and the first energy discharge power, and the target energy discharge power curve is determined based on this initial energy discharge power. The first energy discharge power reflects the initial energy discharge requirement of the target electric vehicle; the higher the target safety state index, the higher the first energy discharge power, in order to respond quickly and reduce the risk of battery thermal runaway. The preset discharge power threshold is determined based on the maximum allowable discharge power of the target electric vehicle. By determining the target energy discharge power curve, proactive management of the potential battery thermal runaway risk of the target electric vehicle can be achieved. When the target safety state index exceeds the preset energy discharge threshold, the energy discharge process is immediately initiated, avoiding the passive situation of waiting until the battery thermal runaway risk escalates to an emergency state before taking measures, thus improving the timeliness and effectiveness of energy discharge for the target electric vehicle.

[0037] In one optional embodiment, determining the target energy leakage power curve based on the initial energy leakage power includes: for any time among multiple times within the energy leakage cycle, if any time is less than a preset initial energy leakage time, determining the initial energy leakage power as the target energy leakage power at any time; or, if any time is greater than or equal to the preset initial energy leakage time, determining the target energy leakage power at any time based on the initial energy leakage power and the preset initial energy leakage time; determining the target energy leakage power corresponding to multiple times respectively by using the method of determining the target energy leakage power at any time; and determining the target energy leakage power curve based on the target energy leakage power corresponding to multiple times respectively.

[0038] It is understood that the energy discharge cycle of the target electric vehicle includes multiple moments. The target energy discharge power at any given moment is determined as follows: Compare any given moment with a preset initial energy discharge moment. If any given moment is less than the preset initial energy discharge moment, the initial energy discharge power is used as the target energy discharge power at that moment. If any given moment is greater than or equal to the preset initial energy discharge moment, the target energy discharge power at that moment is determined based on the initial energy discharge power and the preset initial energy discharge moment. By determining the target energy discharge power at any given moment, the target energy discharge power corresponding to each moment in the energy discharge cycle is determined, thereby determining the target energy discharge power curve of the target electric vehicle. By accurately determining the target energy discharge power curve, the energy discharge effect of the target electric vehicle can be effectively improved, ensuring the safety, efficiency, and intelligence of the energy discharge process.

[0039] Alternatively, a piecewise function model can be used to determine the safe energy dissipation power curve of the target electric vehicle. This ensures both a rapid response in the initial stage of energy release and a stable and safe operation in the later stages. During the energy release cycle... t Target power leakage at any time The following methods can be used to determine this:

[0040]

[0041] in, Indicates the initial energy leakage power. This indicates the preset initial energy release time, which can be set to 100. This represents the attenuation coefficient.

[0042] Optionally, The following methods can be used to determine this:

[0043]

[0044] in, This indicates the preset discharge power threshold. Indicates the preset energy discharge power. Indicates the gain coefficient. This indicates the preset energy leakage threshold. This indicates the first leakage power.

[0045] Step S108: Determine the target energy dissipation device that receives the energy of the target electric vehicle;

[0046] It is understandable that a target energy dissipation device is identified to receive the energy from the target electric vehicle, such as other electric vehicles and energy storage stations. By transferring the energy of the high-risk target electric vehicle to a low-risk energy dissipation device, battery thermal runaway can be mitigated, improving the overall safety of the charging station.

[0047] In one optional embodiment, determining the target energy dissipation device for receiving the energy of the target electric vehicle includes: determining the equipment type cost, energy transmission loss cost, and state-of-charge cost of multiple candidate energy dissipation devices for receiving the energy of the target electric vehicle; and determining the target energy dissipation device using an energy dissipation device determination model based on the equipment type cost, energy transmission loss cost, and state-of-charge cost of the multiple candidate energy dissipation devices. The energy dissipation device determination model includes an objective function and power constraint conditions, wherein the objective function is used to minimize the energy dissipation cost of the target electric vehicle.

[0048] The process involves identifying the equipment type cost, energy transmission loss cost, and state-of-charge cost for multiple candidate devices to receive energy from the target electric vehicle. These costs are then input into an energy discharge device determination model to identify the target energy discharge device. The equipment type cost reflects the usage cost of different types of candidate devices (e.g., electric vehicles and energy storage stations), the energy transmission loss cost describes the energy transmission efficiency of the candidate devices, and the state-of-charge cost describes the state-of-charge level of the candidate devices. The energy discharge device determination model includes an objective function and power constraint conditions. The objective function minimizes the energy discharge cost of the target electric vehicle, while the power constraint conditions include the maximum allowable charging power of the BMS of the electric vehicle receiving the target electric vehicle's energy, the maximum allowable charging power of the energy storage station receiving the target electric vehicle's energy, and the rated power of the charging pile used to transfer the energy from the target electric vehicle to the target energy discharge device. Through meticulous cost analysis and intelligent selection of candidate devices, not only can the energy discharge effect of the target electric vehicle be optimized, but the overall operating efficiency and economic benefits of the charging station can also be improved.

[0049] In one alternative embodiment, the energy leakage device determines a model, including:

[0050] The objective function is:

[0051] ,

[0052] in, Indicates the first j The energy leakage cost of each candidate equipment supplier. Indicates the first j Cost of equipment type for each candidate equipment supplier. Indicates the first j Energy transmission loss cost of each candidate receiving equipment Indicates the first j The state-of-charge cost of each candidate receiving equipment. This represents the weighting coefficient for the cost of equipment type. The weighting coefficient represents the cost of energy transmission losses. The weighting coefficient represents the cost of the state of charge.

[0053] It is understandable that in the above methods of determining the objective function, Indicates the first j The energy leakage cost of each candidate equipment supplier. Indicates the first j The equipment type cost of each candidate receiving device can be set such that the equipment type cost of electric vehicle receiving devices is less than that of energy storage stations. This indicates that electric vehicle receiving devices are given higher priority as the target energy release devices for target electric vehicles than energy storage stations. Indicates the first j The energy transmission loss cost of a candidate receiving device is inversely proportional to the electrical distance and efficiency of the path. Indicates the first j The state-of-charge cost of a candidate receiving device is as follows: the lower the state of charge (SOC) of the candidate receiving device, the lower the SOC. This represents the weighting coefficient for the cost of equipment type. The weighting coefficient represents the cost of energy transmission losses. This represents the weighting coefficient for the state-of-charge cost. By balancing the equipment type cost, energy transmission loss cost, and state-of-charge cost of candidate receiving devices to determine the target energy-discharging device for the target electric vehicle, the rationality and reliability of the target energy-discharging device determination can be effectively improved, thereby enhancing the energy-discharging effect on the target electric vehicle.

[0054] Optionally, based on the generated safe energy dissipation power curve, energy receiving matching is performed within the charging microgrid to determine the target energy dissipation device for the target electric vehicle. Determining the target energy dissipation device and its corresponding energy transfer path is a multi-objective optimization problem. The highest priority receiving device is set as a low-risk, low-SOC electric vehicle whose owner has authorized grid interaction. The second highest priority receiving device is set as a dedicated energy storage device for the charging station (i.e., an energy storage station). Constraints include the maximum allowable charging power of the BMS of the electric vehicle receiving the target electric vehicle's energy, the maximum allowable charging power of the energy storage station receiving the target electric vehicle's energy, and the rated power of the charging pile used to transfer the energy from the target electric vehicle to the target energy dissipation device. The optimization objective is to select the candidate receiving device corresponding to the energy transfer path that results in the shortest electrical distance and the highest overall efficiency as the target energy dissipation device, thereby minimizing the energy dissipation cost of the target electric vehicle.

[0055] Step S110: According to the target energy discharge power curve, the target energy discharge device is used to discharge energy to the target electric vehicle.

[0056] It is understandable that by using a target energy discharge device to discharge energy to a target electric vehicle according to the target energy discharge power curve, the energy of a target electric vehicle with a high risk of battery thermal runaway can be transferred to a low-risk, low-SOC electric vehicle or energy storage station, thereby achieving effective allocation and reuse of resources and improving the energy management efficiency of charging stations.

[0057] Optionally, the target safety state index and characteristic parameters of the target electric vehicle are continuously monitored and updated during the energy release process. If the target safety state index shows an accelerated increase, the target energy release power at the corresponding moment on the safety energy release power curve is immediately reduced. If the target safety state index begins to decrease and tends to stabilize, the target energy release power can be smoothly adjusted. A controller can be used to dynamically adjust the target energy release power based on changes in the target safety state index of the target electric vehicle.

[0058] Through the above steps S102 to S110, the target safety state index of the target electric vehicle can be determined based on the obtained operating status data of the target electric vehicle. When the target safety state index is greater than the preset energy discharge threshold and less than the preset emergency threshold, the target energy discharge device is used to discharge energy to the target electric vehicle according to the determined target energy discharge power curve. This achieves the technical effect of improving the energy discharge effect of the target electric vehicle and solves the technical problem of unsatisfactory energy discharge effect of electric vehicles in related technologies.

[0059] Based on the above embodiments and optional embodiments, this application proposes an implementation method for an optional energy release method for electric vehicles. This method can be understood as a safe energy release method for electric vehicles in a vehicle-to-grid interaction scenario. It is used to efficiently release energy from a target electric vehicle with a high risk of battery thermal runaway, and to transfer the energy of the target electric vehicle to a low-risk, low-energy electric vehicle or energy storage station in an orderly manner through a bidirectional charging pile, thereby effectively reducing the risk of battery thermal runaway of the target electric vehicle. Figure 2 This is a flowchart of an optional energy dissipation method for an electric vehicle according to an embodiment of this application, such as... Figure 2 As shown, the steps of the electric vehicle safety energy release method in the vehicle-to-grid interaction scenario include:

[0060] Step S1: The safety status assessment module performs a safety status assessment on the target electric vehicle in the charging scenario to determine the target safety status index of the target electric vehicle. This relies on the controller embedded in the charging pile to read data such as voltage, current, and time on the charging side, as well as data from the target electric vehicle's battery management system, including battery temperature, battery capacity after degradation, and battery state of charge (i.e., operating status data). Based on the above data, the target safety status index of the target electric vehicle is determined.

[0061] The target safety state index is determined by normalizing and weighted summing multiple characteristic parameters of the target electric vehicle. These parameters include the rate of temperature rise, the maximum temperature difference of the battery pack, the maximum voltage difference of the battery pack, and the heat generation rate. To eliminate the influence of dimensions, normalization techniques (such as the Sigmoid function) are used to map each characteristic parameter to the [0, 1] interval.

[0062] The target security status index S is determined in the following way:

[0063]

[0064] in, Represents the normalized th i One feature parameter, Indicates the first i The weights of each feature parameter.

[0065] In step S2, after the charging pile performs a safety assessment on the target electric vehicle, it inputs the obtained target safety status index to the central control and scheduling module. Upon receiving the target safety status index, the central control and scheduling module determines whether energy release is necessary. If the target safety status index is greater than or equal to a preset emergency threshold, it indicates that the target electric vehicle is highly susceptible to battery thermal runaway, and measures such as cutting off the power and issuing audible and visual alarms are taken. If the target safety status index is less than the preset emergency threshold but greater than the preset energy release threshold, a safe energy release power curve (i.e., the target energy release power curve) is dynamically generated for the target electric vehicle. The safe energy release power curve defines the maximum power allowed to be extracted from the target electric vehicle at each moment during the subsequent energy release cycle. Determining the safe energy release power curve requires consideration of multiple factors, including the target safety status index (when the risk is high, the initial target energy release power can be larger, but the energy release rate needs to be limited), the maximum discharge power allowed by the target electric vehicle's BMS (i.e., the preset discharge power threshold), and the target electric vehicle's battery temperature and SOC (to ensure that the energy release process itself does not generate excessive heat), etc.

[0066] A piecewise function model can be used to determine the safe energy leakage power curve of the target electric vehicle. This ensures both rapid response in the initial stage of energy leakage and stable and safe operation in the later stage. Figure 3 This is a schematic diagram of an optional target energy leakage power curve provided according to an embodiment of this application, such as... Figure 3 As shown, during the energy release cycle t Target power leakage at any time The following method is used to determine:

[0067]

[0068] in, Indicates the initial energy leakage power. This indicates the preset initial energy release time, which can be set to 100. This represents the attenuation coefficient.

[0069] The following method is used to determine:

[0070]

[0071] in, This indicates the preset discharge power threshold. Indicates the preset energy discharge power. Indicates the gain coefficient. This indicates the preset energy leakage threshold. This indicates the first leakage power.

[0072] like Figure 3 As shown, when The target energy leakage power curve of the target electric vehicle is in the constant power stage. In this stage, the target energy leakage power is equal to the initial energy leakage power and remains unchanged. The target energy leakage power curve is in the decay stage, during which the target energy leakage power decays exponentially.

[0073] Step S3: Based on the generated safe energy leakage power curve, the central control and dispatch module performs energy connection matching within the charging microgrid to determine the target energy leakage device for the target electric vehicle. Determining the target energy leakage device and its corresponding energy transfer path is a multi-objective optimization problem. The highest priority receiving device is set as a low-risk, low-SOC electric vehicle whose owner has authorized grid interaction. The next highest priority receiving device is set as a dedicated energy storage device for the charging station (i.e., an energy storage station). Constraints include the maximum allowable charging power of the BMS of the electric vehicle receiving the target electric vehicle's energy, the maximum allowable charging power of the energy storage station receiving the target electric vehicle's energy, and the rated power of the charging pile used to transfer the energy from the target electric vehicle to the target energy leakage device. The optimization objective is to select the candidate receiving device corresponding to the energy transfer path that results in the shortest electrical distance and the highest overall efficiency as the target energy leakage device, thereby minimizing the energy leakage cost of the target electric vehicle. Objective function:

[0074]

[0075] in, Indicates the first j The energy leakage cost of each candidate equipment supplier. Indicates the first j The equipment type cost of each candidate receiving device can be set such that the equipment type cost of electric vehicle receiving devices is less than that of energy storage stations. This indicates that electric vehicle receiving devices are given higher priority as the target energy release devices for target electric vehicles than energy storage stations. Indicates the first j The energy transmission loss cost of a candidate receiving device is inversely proportional to the electrical distance and efficiency of the path. Indicates the first j The state-of-charge cost of a candidate receiving device is as follows: the lower the state of charge (SOC) of the candidate receiving device, the lower the SOC. This represents the weighting coefficient for the cost of equipment type. The weighting coefficient represents the cost of energy transmission losses. The weighting coefficient represents the cost of the state of charge.

[0076] In step S4, the central control and scheduling module continuously monitors and updates the target safety state index and characteristic parameters of the target electric vehicle during the energy release process. If the target safety state index shows an accelerated increase, the target energy release power at the corresponding moment on the safety energy release power curve is immediately reduced. If the target safety state index begins to decrease and tends to stabilize, the target energy release power can be smoothly adjusted. A controller is used to dynamically adjust the target energy release power according to the changes in the target safety state index of the target electric vehicle.

[0077] The above-mentioned optional implementation methods achieve at least the following effects: The determination of the target safety state index, by comprehensively considering multiple characteristic parameters and assigning different weights, can more comprehensively and accurately assess the battery thermal runaway risk of the target electric vehicle, avoiding the limitations of single-parameter early warning, improving the accuracy and timeliness of battery thermal runaway risk identification, and thus improving the energy release effect of the target electric vehicle; By determining the target energy release power curve, proactive management of the potential battery thermal runaway risk of the target electric vehicle can be achieved, enabling the energy release process to be initiated immediately when the safety state index exceeds the preset energy release threshold, avoiding the passive situation of waiting until the battery thermal runaway risk escalates to an emergency state before taking measures, and improving the timeliness and effectiveness of energy release for the target electric vehicle; By balancing the equipment type cost, energy transmission loss cost, and state of charge cost of candidate receiving equipment to determine the target energy release equipment for the target electric vehicle, the rationality and reliability of the target energy release equipment determination results can be effectively improved, thereby improving the energy release effect for the target electric vehicle.

[0078] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0079] This embodiment also provides an energy dissipation device for an electric vehicle, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the terms "module" and "device" can refer to a combination of software and / or hardware that performs a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0080] According to an embodiment of this application, an apparatus embodiment for implementing an energy dissipation method for electric vehicles is also provided. Figure 4 This is a schematic diagram of an energy dissipation device for an electric vehicle according to an embodiment of this application, as shown below. Figure 4As shown, the energy dissipation device for the electric vehicle includes a data acquisition module 402, a first determination module 404, a second determination module 406, a third determination module 408, and an energy dissipation module 410. The device will be described below.

[0081] The data acquisition module 402 is used to acquire the operating status data of the target electric vehicle;

[0082] The first determining module 404, connected to the data acquisition module 402, is used to determine the target safety status index of the target electric vehicle based on the operating status data.

[0083] The second determining module 406 is connected to the first determining module 404 and is used to determine the target energy leakage power curve of the target electric vehicle based on the target safety state index when the target safety state index is greater than the preset energy leakage threshold and less than the preset emergency threshold. The target energy leakage power curve is used to describe the target energy leakage power of the target electric vehicle at multiple moments in the energy leakage cycle.

[0084] The third determining module 408, connected to the second determining module 406, is used to determine the target energy dissipation device that receives the energy of the target electric vehicle.

[0085] The energy discharge module 410 is connected to the third determining module 408 and is used to discharge energy to the target electric vehicle according to the target energy discharge power curve and using the target energy discharge device.

[0086] This application provides an energy release device for an electric vehicle. By setting up a data acquisition module 402, a first determination module 404, a second determination module 406, a third determination module 408, and an energy release module 410, the device achieves the following: based on the acquired operating status data of the target electric vehicle, it determines the target safety status index of the target electric vehicle; and when the target safety status index is greater than a preset energy release threshold and less than a preset emergency threshold, it uses a target energy release device to release energy from the target electric vehicle according to the determined target energy release power curve. This achieves the technical effect of improving the energy release effect of the target electric vehicle, thereby solving the technical problem of unsatisfactory energy release effect of electric vehicles in related technologies.

[0087] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0088] It should be noted that the data acquisition module 402, the first determining module 404, the second determining module 406, the third determining module 408, and the energy dissipation module 410 mentioned above correspond to steps S102 to S110 in the embodiments. The instances and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can run in a computer terminal.

[0089] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0090] The energy dissipation device of the electric vehicle described above may also include a processor and a memory. The data acquisition module 402, the first determination module 404, the second determination module 406, the third determination module 408, the energy dissipation module 410, etc. are all stored in the memory as program units. The processor executes the program units stored in the memory to realize the corresponding functions.

[0091] The processor contains a core that retrieves the corresponding program unit from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0092] This application provides a non-volatile storage medium storing a program that, when executed by a processor, implements a method for discharging energy from an electric vehicle.

[0093] This application provides an electronic device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring operating status data of a target electric vehicle; determining a target safety status index for the target electric vehicle based on the operating status data; determining a target energy leakage power curve for the target electric vehicle based on the target safety status index when the target safety status index is greater than a preset energy leakage threshold and less than a preset emergency threshold, wherein the target energy leakage power curve describes the target energy leakage power of the target electric vehicle at multiple moments within the energy leakage cycle; determining a target energy leakage device to receive the energy from the target electric vehicle; and discharging energy from the target electric vehicle using the target energy leakage device according to the target energy leakage power curve. The device in this document can be a server, PC, etc.

[0094] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program with the following method steps: acquiring operating status data of a target electric vehicle; determining a target safety status index of the target electric vehicle based on the operating status data; determining a target energy leakage power curve of the target electric vehicle based on the target safety status index when the target safety status index is greater than a preset energy leakage threshold and less than a preset emergency threshold, wherein the target energy leakage power curve is used to describe the target energy leakage power of the target electric vehicle at multiple moments within the energy leakage cycle; determining a target energy leakage device to receive the energy of the target electric vehicle; and discharging energy from the target electric vehicle using the target energy leakage device according to the target energy leakage power curve.

[0095] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0098] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0099] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0100] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0101] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0102] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0103] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for dissipating energy in an electric vehicle, characterized in that, include: Acquire the operating status data of the target electric vehicle; Based on the operational status data, the target safety status index of the target electric vehicle is determined; When the target safety state index is greater than a preset energy leakage threshold and less than a preset emergency threshold, the target energy leakage power curve of the target electric vehicle is determined based on the target safety state index. The target energy leakage power curve is used to describe the target energy leakage power of the target electric vehicle at multiple moments within the energy leakage cycle. Identify the target energy dissipation device that receives the energy of the target electric vehicle; According to the target energy discharge power curve, the target energy discharge device is used to discharge energy from the target electric vehicle.

2. The method according to claim 1, characterized in that, The determination of the target safety status index of the target electric vehicle based on the operational status data includes: Based on the operational status data, multiple characteristic parameters of the target electric vehicle are determined; The target security status index is determined based on the multiple feature parameters and their respective weights.

3. The method according to claim 1, characterized in that, The step of determining the target energy leakage power curve of the target electric vehicle based on the target safety state index includes: Based on the target safety status index, the preset energy leakage power of the target electric vehicle, and the preset energy leakage threshold, the first energy leakage power of the target electric vehicle is determined. Based on the preset discharge power threshold of the target electric vehicle and the first energy leakage power, the initial energy leakage power of the target electric vehicle is determined. Based on the initial energy leakage power, the target energy leakage power curve is determined.

4. The method according to claim 3, characterized in that, The process of determining the target energy leakage power curve based on the initial energy leakage power includes: For any one of the multiple moments within the energy discharge cycle, if any one moment is less than a preset initial energy discharge moment, the initial energy discharge power is determined as the target energy discharge power for that moment; or... If any time is greater than or equal to the preset initial energy leakage time, the target energy leakage power at any time is determined based on the initial energy leakage power and the preset initial energy leakage time. The target energy leakage power corresponding to each of the plurality of times is determined by using the method of determining the target energy leakage power at any given time. The target energy leakage power curve is determined based on the target energy leakage power corresponding to the multiple time points.

5. The method according to any one of claims 1 to 4, characterized in that, The target energy dissipation device for receiving the energy of the target electric vehicle includes: The equipment type cost, energy transmission loss cost, and state-of-charge cost of multiple candidate receiving devices for receiving the energy of the target electric vehicle are determined respectively. Based on the equipment type cost, energy transmission loss cost, and state-of-charge cost of the candidate receiving devices, respectively, a leakage device determination model is used to determine the target leakage device. The leakage device determination model includes an objective function and power constraint conditions. The objective function is used to minimize the leakage cost of the target electric vehicle.

6. The method according to claim 5, characterized in that, The energy dissipation device model includes: The objective function is: ， in, Indicates the first j The energy leakage cost of each candidate equipment supplier. Indicates the first j Cost of equipment type for each candidate equipment supplier. Indicates the first j Energy transmission loss cost of each candidate receiving equipment Indicates the first j The state-of-charge cost of each candidate receiving equipment. This represents the weighting coefficient for the cost of equipment type. The weighting coefficient represents the cost of energy transmission losses. The weighting coefficient represents the cost of the state of charge.

7. An energy dissipation device for an electric vehicle, characterized in that, include: The data acquisition module is used to acquire the operating status data of the target electric vehicle; The first determining module is used to determine the target safety status index of the target electric vehicle based on the operating status data. The second determining module is used to determine the target energy leakage power curve of the target electric vehicle based on the target safety state index when the target safety state index is greater than the preset energy leakage threshold and less than the preset emergency threshold. The target energy leakage power curve is used to describe the target energy leakage power of the target electric vehicle at multiple moments in the energy leakage cycle. The third determining module is used to determine the target energy dissipation device that receives the energy of the target electric vehicle; The energy dissipation module is used to dissipate energy from the target electric vehicle according to the target energy dissipation power curve and the target energy dissipation device.

8. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores multiple instructions adapted for loading and execution by a processor of the energy dissipation method for an electric vehicle according to any one of claims 1 to 6.

9. An electronic device, characterized in that, include: One or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the energy release method for an electric vehicle according to any one of claims 1 to 6.

10. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the energy dissipation method for an electric vehicle according to any one of claims 1 to 6.

Images