Method and device for determining battery demand current of electric vehicle and computer equipment

Abstract

The invention discloses a battery demand current determination method and device of an electric vehicle and computer equipment. The method comprises the steps that the initial demand current and the real-time demand current of a target battery are acquired, and the initial demand current is the battery demand current considering the fault degree of the target battery, the output limit of a charging pile and the health degree of the target battery; the output current of the charging pile corresponding to the target battery and the charging current received by the target battery are obtained, and the charging current is not larger than the output current; within a preset time interval, based on the initial demand current, the real-time demand current, the output current and the charging current, determining a target adjustment current; and determining a target demand current of the target battery based on the target adjustment current and the initial demand current. The technical problem that the charging efficiency and the battery safety cannot be guaranteed due to the fact that an existing demand current adjusting method cannot cope with different charging working conditions and load changes is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to a method, device and computer equipment for determining a battery demand current of an electric vehicle. Background Art

[0002] With the widespread adoption of electric vehicles, fast charging technology has become critical to ensuring user convenience and vehicle range. Currently, the mainstream charging strategy uses a constant current-constant voltage (CC-CV) mode, which initially charges at a constant current and then switches to a constant voltage mode until the battery is fully charged. However, this mode has significant limitations: the charging current is fixed in the initial stage, making it inflexible to adapt to the battery's real-time health and environmental conditions, such as temperature fluctuations and cell aging. This limits the improvement of charging efficiency and the optimization of battery performance.

[0003] Current methods for calculating charging demand current primarily rely on lookup tables based on temperature and voltage. This approach fails to fully account for the potential fluctuations in the charging pile's current output in actual use. Current charging control strategies lack an effective closed-loop regulation mechanism and are unable to instantly respond to changes in the charging pile's output, posing a safety hazard. Furthermore, current methods fail to consider the current demands of other vehicle loads. When load power consumption increases, the charging current cannot be adjusted upward in real time, potentially causing the battery pack to discharge the load. Conversely, when load power consumption decreases, the charging current remains constant, potentially causing the battery pack to overcharge, posing a safety hazard and accelerating battery aging.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] Embodiments of the present invention provide a method, apparatus, and computer device for determining the battery demand current of an electric vehicle, to at least address the technical problem that current demand current regulation methods are unable to cope with different charging conditions and load changes, resulting in the inability to ensure charging efficiency and battery safety.

[0006] According to one aspect of an embodiment of the present invention, a method for determining a battery demand current of an electric vehicle is provided, comprising: obtaining an initial demand current and a real-time demand current of a target battery, wherein the initial demand current is a battery demand current that takes into account the degree of failure of the target battery, the output limitation of a charging pile, and the health of the target battery; obtaining the output current of a charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; determining a target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; and determining a target demand current of the target battery based on the target regulation current and the initial demand current.

[0007] Optionally, obtaining the initial current demand of the target battery includes: obtaining the original current demand of the target battery based on the state of charge, minimum temperature and single cell voltage of the target battery; obtaining the health of the target battery and the degree of fault of the target battery; and determining the initial current demand based on the health and the degree of fault.

[0008] Optionally, based on the health and fault degree, the initial demand current is determined, including: calculating the product of the original demand current and the health to obtain a first limiting demand current; determining the fault limit power factor of the target battery based on the fault degree; calculating the product of the first limiting demand current and the fault limit power factor to obtain a second limiting demand current; obtaining the maximum output current of the charging pile; and determining the initial demand current based on the second limiting demand current and the maximum output current.

[0009] Optionally, within a preset time interval, a target regulation current is determined based on the initial demand current, the real-time demand current, the output current and the charging current, including: determining the initial regulation current as a first value; when the difference between the output current and the real-time demand current is not greater than a first preset threshold, the difference between the initial demand current and the charging current is greater than a second preset threshold, and the above state is maintained within the first preset time interval, increasing the initial regulation current to obtain the target regulation current.

[0010] Optionally, within a preset time interval, the target regulation current is determined based on the initial demand current, the real-time demand current, the output current and the charging current, including: determining that the initial regulation current is greater than a second value; when the difference between the initial demand current and the charging current is less than a third preset threshold and the above state is maintained within the second preset time interval, reducing the initial regulation current to obtain the target regulation current.

[0011] Optionally, based on the target regulation current and the initial demand current, the target demand current of the target battery is determined, including: obtaining the temperature demand current of the target battery and the limiting current of the high and low voltage converters corresponding to the target battery; calculating the sum of the initial demand current, the target regulation current and the temperature demand current to obtain a third limiting demand current; determining the target demand current based on the limiting current and the third limiting demand current.

[0012] Optionally, the real-time demand current is adjusted to the target demand current based on a preset change rate, wherein the preset change rate is less than a preset rate threshold.

[0013] According to another aspect of an embodiment of the present invention, a device for determining a battery demand current of an electric vehicle is provided, including: a first acquisition module for acquiring an initial demand current and a real-time demand current of a target battery, wherein the initial demand current is a battery demand current that takes into account the degree of failure of the target battery, the output limitation of the charging pile, and the health of the target battery; a second acquisition module for acquiring the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; a first determination module for determining a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current within a preset time interval; and a second determination module for determining the target demand current of the target battery based on the target regulation current and the initial demand current.

[0014] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is further provided, the non-volatile storage medium including a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute any one of the above-mentioned methods for determining the battery demand current of an electric vehicle.

[0015] According to another aspect of an embodiment of the present invention, a computer device is provided. The computer device includes a processor, and the processor is used to run a program. When the program is run, any one of the above-mentioned methods for determining the battery demand current of an electric vehicle is executed.

[0016] According to yet another aspect of an embodiment of the present invention, a computer program product is provided, comprising a computer program, which implements any one of the above-mentioned methods for determining the battery demand current of an electric vehicle when executed by a processor.

[0017] In an embodiment of the present invention, a method for determining the battery demand current of an electric vehicle is adopted, by obtaining the initial demand current and real-time demand current of a target battery, wherein the initial demand current is the battery demand current that takes into account the fault degree of the target battery, the output limitation of the charging pile, and the health of the target battery; obtaining the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; determining the target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; determining the target demand current of the target battery based on the target regulation current and the initial demand current, thereby achieving the purpose of dynamic feedback regulation of the demand current during the charging process of the electric vehicle battery, thereby realizing the technical effect of improving charging efficiency and safety, and further solving the technical problem that the current demand current regulation method cannot cope with different charging conditions and load changes, resulting in the inability to ensure charging efficiency and battery safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 A hardware structure block diagram of a computer terminal for implementing a method for determining battery demand current of an electric vehicle is shown;

[0020] Figure 2 1 is a flow chart of a method for determining a battery demand current of an electric vehicle provided in accordance with an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of a closed-loop regulation sub-process provided according to an optional embodiment of the present invention;

[0022] Figure 4 is an architectural diagram of a charging demand current calculation provided according to an optional embodiment of the present invention;

[0023] Figure 5 is a schematic diagram of a specific process for calculating a charging demand current according to an optional embodiment of the present invention;

[0024] Figure 6 4 is a structural block diagram of a device for determining battery demand current of an electric vehicle provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, an embodiment of a method for determining the battery demand current of an electric vehicle is provided. It should be noted that the steps shown in the flowchart of 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 can be executed in an order different from that shown here.

[0028] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing a method for determining the battery demand current of an electric vehicle is shown. Figure 1 As shown, the computer terminal 10 may include one or more (illustrated as 102a, 102b, ..., 102n in the figure) processors (the processor may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices), a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0029] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry." The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be incorporated in whole or in part into any of the other components of the computer terminal 10. As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0030] Memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the method for determining the battery current demand of an electric vehicle in an embodiment of the present invention. The processor executes the software programs and modules stored in memory 104 to execute various functional applications and data processing, thereby implementing the method for determining the battery current demand of an electric vehicle in the aforementioned application. Memory 104 can include high-speed random access memory (RAM) and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 can further include memory remotely located from the processor, which can be connected to computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0032] Figure 2 FIG. 1 is a flow chart of a method for determining battery demand current of an electric vehicle according to an embodiment of the present invention. Figure 2 As shown, the method includes the following steps:

[0033] Step S201 , obtaining an initial current demand and a real-time current demand of a target battery, wherein the initial current demand is a battery current demand that takes into account the fault level of the target battery, the output limit of the charging pile, and the health of the target battery.

[0034] In this step, obtaining the initial demand current of the target battery is a multi-step, multi-level decision-making process. It not only determines the optimal charging current based on the current specific state of the battery (such as SOC, temperature, voltage, etc.), but also considers the battery's aging degree (SOH) and possible faults, while ensuring that this current value matches the actual output capacity of the charging pile. Through such comprehensive considerations, a charging process that is both efficient and protects the battery can be achieved, improving charging efficiency while extending battery life and ensuring the safety of the entire charging process. The real-time demand current is the current requested by the target battery to the charging pile in its current state, that is, the final target demand current obtained in the last closed-loop regulation process.

[0035] Step S202 , obtaining the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current.

[0036] In this step, during the charging process of the electric vehicle, the power transmission between the charging pile and the battery is not direct point-to-point, but passes through multiple power loads and conversion links on the electric vehicle. This is particularly important when designing a charging current control strategy. The output current of the charging pile passes through the power distribution network of the electric vehicle. Before supplying the battery, it may first support the operation of auxiliary loads such as air-conditioning systems, on-board electronic equipment, and lighting. The charging current received by the target battery, which can also be called the bus current (the bus current is negative during charging), refers to the current value that actually enters the battery for charging. In fact, the charging current reaching the target battery will be reduced to a certain extent due to the consumption of these loads, that is, the charging current received by the battery is not greater than the output current of the charging pile.

[0037] Step S203 : determining a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current within a preset time interval.

[0038] In this step, the closed-loop regulation sub-process can be used to achieve precise control and dynamic optimization of the current. For example, when the output current of the charging pile shows a stable trend, and the compensation current shows that the charging demand is higher than the current charging level, the regulation current will be appropriately increased to ensure that the battery obtains more sufficient power; on the contrary, if the compensation current indicates a decrease in demand, it will be reduced accordingly to avoid unnecessary waste of power or overcharging of the battery. In addition, the closed-loop regulation mechanism also has the ability to respond to abnormal situations. Whether it is a significant drop in the compensation current when the regulation current is positive, or a negative deviation of the compensation current when it is non-positive, it can respond quickly, either resetting the regulation amount to zero or adjusting it to the compensation value, ensuring immediate correction of the charging current to adapt to the sudden change in the output of the charging pile or the real-time fluctuation of the battery demand.

[0039] Step S204 : determining a target required current of the target battery based on the target regulated current and the initial required current.

[0040] In this step, during the initial stages of charging management, the system can calculate an initial demand current based on a series of battery parameters and the maximum output capacity of the charging station, using a table lookup or a pre-set algorithm. This initial demand current reflects the system's optimal charging current, under current conditions, to achieve efficient charging without damaging the battery. However, as charging progresses, the battery state of charge (SOC, SOH) continuously changes. Furthermore, the output capacity of the charging station and the electric vehicle's own power demand may also fluctuate. For example, turning on or off the air conditioner or other electronic devices in the vehicle directly affects the bus current, and thus the actual charging current the battery can receive. Therefore, relying solely on the initial demand current for charging management is insufficient; a dynamic adjustment mechanism is required. The initial demand current is combined with the target regulation current derived from closed-loop regulation to generate a new target demand current that is more closely aligned with real-time demand. The target demand current calculation typically uses the initial demand current as a baseline, overlaying the target regulation current to reflect the latest changes in the charging station output capacity, battery state, and vehicle load.

[0041] Through the above steps, the purpose of dynamic feedback regulation of the demand current during the charging process of electric vehicle batteries is achieved, thereby achieving the technical effect of improving charging efficiency and safety, and further solving the technical problem that the current demand current regulation method is unable to cope with different charging conditions and load changes, resulting in the inability to ensure charging efficiency and battery safety.

[0042] As an optional embodiment, obtaining the initial current demand of the target battery includes: obtaining the original current demand of the target battery based on the state of charge, minimum temperature and single cell voltage of the target battery; obtaining the health of the target battery and the degree of fault of the target battery; and determining the initial current demand based on the health and the degree of fault.

[0043] Optionally, by comprehensively considering the SOC, minimum temperature, and cell voltage, the system can look up a table to determine the target battery's raw current demand in its current state. This step provides a preliminary current reference for the charging process, but this value requires further adjustment to account for the impact of battery health and fault severity. The SOH reflects the overall health of the battery and represents the ratio of its capacity to its new capacity. As a battery ages, its SOH gradually decreases, meaning that the battery can accept and store less energy. Possible battery faults, such as internal short circuits and overheating, can limit its charging capacity. Therefore, it is important to identify these faults and assess their severity so that appropriate measures can be taken during charging management. The final initial current demand is based on a comprehensive consideration of the raw current demand, battery health (SOH), and fault severity. The system can multiply the raw current demand by the SOH to account for the impact of battery aging on its charging capacity. This result is then further adjusted based on the severity of the battery fault to limit the charging current under fault conditions and ensure a safe charging process.

[0044] As an optional embodiment, the initial demand current is determined based on the health and fault level, including: calculating the product of the original demand current and the health to obtain a first limited demand current; determining the fault limit power factor of the target battery based on the fault level; calculating the product of the first limited demand current and the fault limit power factor to obtain a second limited demand current; obtaining the maximum output current of the charging pile; and determining the initial demand current based on the second limited demand current and the maximum output current.

[0045] Optionally, the raw current demand is derived through a table lookup, reflecting the theoretical charge current the battery should receive given its current state of charge (SOC), temperature, and cell voltage. Battery health is a crucial consideration, as it directly impacts the battery's charge acceptance and safety. The lower the SOH, the poorer the battery's actual performance and capacity. Therefore, the raw current demand is multiplied by the SOH to obtain the first current demand limit. Next, the target battery's fault severity can be analyzed. Batteries can experience various types of faults, including but not limited to internal short circuits, overheating, and voltage anomalies. Each type of fault may limit the battery's charging power. Therefore, the system determines a fault-limiting power factor, which reflects the extent to which the battery fault affects the charging demand. If the battery is completely fault-free, this factor may be 1, indicating that the fault has no impact on the charging demand. However, if the battery has certain faults, this factor will be less than 1, reducing the charging demand to prevent the fault from escalating or causing safety issues. After obtaining the fault-limiting power factor, the system multiplies it by the first current demand limit to obtain the second current demand limit. This step further adjusts the charging demand to ensure that charging can proceed safely even with certain battery faults. The system must also consider the actual capacity of the charging station, namely its maximum output current. This is because even if the battery can accept a higher charging current, it must ensure that the charging station's output does not exceed its capabilities to avoid damage to the device or unstable charging. Finally, based on the second limit demand current and the maximum output current of the charging station, the system determines the initial demand current. This process may involve selecting the minimum of the two values ​​to ensure that the charging demand is neither excessive (exceeding the maximum output current) nor too low (below the second limit demand current).

[0046] As an optional embodiment, within a preset time interval, the target regulation current is determined based on the initial demand current, the real-time demand current, the output current and the charging current, including: determining the initial regulation current as a first value; when the difference between the output current and the real-time demand current is not greater than a first preset threshold, the difference between the initial demand current and the charging current is greater than a second preset threshold, and the above state is maintained within the first preset time interval, increasing the initial regulation current to obtain the target regulation current.

[0047] Optionally, at the start of closed-loop regulation, the adjustment current (LoopAdjustCurr) is set to a first value, typically zero, meaning that the system initially performs no current regulation. Next, the system enters a dynamic monitoring and adjustment phase. The goal of this phase is to increase the adjustment current (LoopAdjustCurr) to boost the charging current when the system detects that the difference between the charging pile output current and the real-time demand current requested by the target battery is small and does not exceed a first preset threshold (i.e., the charging pile output is stable (charging pile output current - requested current ≤ I1A)), and the battery's actual charging demand (i.e., the compensation current, which includes the sum of the initial demand current and the vehicle bus current, or the difference between the initial demand current and the charging current) exceeds the current charging current level (a second preset threshold) (compensation current > I2A). This adjustment only occurs if this state is maintained continuously for a first preset time interval (T1s), demonstrating the system's responsiveness and control over changes in the charging process.

[0048] As an optional embodiment, within a preset time interval, the target regulation current is determined based on the initial demand current, the real-time demand current, the output current and the charging current, including: determining that the initial regulation current is greater than a second value; when the difference between the initial demand current and the charging current is less than a third preset threshold and the above state is maintained within the second preset time interval, reducing the initial regulation current to obtain the target regulation current.

[0049] Optionally, at the beginning of the closed-loop regulation, the system determines that the initial regulation current (LoopAdjustCurr) is already greater than the second value, which means that the system has already increased the charging current to some extent based on previous conditions (such as battery demand, charging pile output, etc.). The second value is a preset threshold value used to determine whether a current adjustment has occurred, and is generally set to 0. When it is detected that the difference between the initial demand current and the actual charging current is less than the third preset threshold value (compensation current < I3A) and is very close to the current demand level of the battery, and this state is maintained within the second preset time interval (T2s), the system will start the process of reducing the regulation current (LoopAdjustCurr) to obtain a new target regulation current.

[0050] In addition, the regulated current can be reset to zero or adjusted down to a compensation value. Figure 3 Schematic diagram of a closed-loop regulation sub-process according to an optional embodiment of the present invention. Figure 3As shown in the figure, if the compensation current (i.e., the battery demand current plus the bus current of the entire vehicle) shows that the charging demand has actually decreased (compensation current <-I4A), and this state lasts for T3s, the system will lower LoopAdjustCurr to 0, thereby reducing the charging current to bring it closer to the current optimal demand level. In another case, if the initial adjustment current is negative or zero, but the compensation current shows that the charging demand is significantly lower than the current charging current level (compensation current <-I5A), and this state lasts for T4s, the system will directly lower LoopAdjustCurr to a compensation value to ensure that the charging current is adjusted immediately to avoid overcharging.

[0051] As an optional embodiment, the target demand current of the target battery is determined based on the target regulation current and the initial demand current, including: obtaining the temperature demand current of the target battery and the limiting current of the high and low voltage converters corresponding to the target battery; calculating the sum of the initial demand current, the target regulation current and the temperature demand current to obtain a third limiting demand current; and determining the target demand current based on the limiting current and the third limiting demand current.

[0052] Alternatively, the temperature of electric vehicle batteries directly affects their charging performance and safety. At low temperatures, the battery's chemical reaction rate decreases, weakening its ability to absorb current. At high temperatures, the battery is prone to overheating, affecting battery life and charging safety. Therefore, the system needs to obtain a temperature-dependent current demand related to the battery's current temperature. High- and low-voltage converters (such as DC / DC converters) are responsible for energy conversion between the battery and the vehicle's electronic systems. The current limit of a high- and low-voltage converter refers to the maximum current the converter can safely handle under the current operating conditions. If the charging current exceeds the converter's handling capacity, it may overload the converter, affecting its normal function or even causing damage. The system comprehensively calculates the initial demand current (charging current calculated based on SOC, temperature, and voltage), the target regulation current (current increment or decrement adjusted by a closed-loop regulation mechanism), and the temperature demand current (current value adjusted to account for the impact of battery temperature during the charging process) to obtain a third current demand limit. After calculating the third current demand limit, it is compared with the current limit of the high- and low-voltage converters. If the third limited demand current exceeds the current limit, the target demand current cannot be implemented according to the third limited demand current and should be adjusted down to a level that does not exceed the current limit to prevent the converter from overloading. Conversely, if the third limited demand current is less than or equal to the current limit, the target demand current can be implemented according to this higher demand.

[0053] As an optional embodiment, the real-time demand current is adjusted to the target demand current based on a preset change rate, wherein the preset change rate is less than a preset rate threshold.

[0054] Optionally, by limiting the rate of change of the charging current and gradually ramping up and down the required current, the charging management mechanism can avoid the impact of sudden current changes on the battery, which helps extend the battery life and reduce the rapid degradation of battery performance. Furthermore, controlling the current change rate can improve the stability of the charging process, avoiding risks such as charging pile overload or imbalanced internal battery chemical reactions caused by rapid current fluctuations, thereby ensuring the safety and efficiency of the charging process.

[0055] As an optional embodiment, Figure 4 1 is a schematic diagram of a charging demand current calculation system according to an optional embodiment of the present invention. Figure 4 As shown, the requested current can be calculated hierarchically. The first level is the table lookup current layer, which comprehensively considers the fault limiting factor, charging pile output limit and battery health to obtain the battery demand current; the second level is the closed-loop regulation layer, which performs real-time closed-loop regulation on the load consumption current such as thermal management, DCDC, and the high-voltage limit current and the charging pile output current to obtain the charging target current; the third level is the current ramp-up and ramp-down layer, which ramps up and down the target current to prevent the charging pile power module from being unable to quickly respond to the vehicle-side demand current adjustment, resulting in charging overcurrent; the fourth level is the final calculated request current, which is sent to the charging pile in real time for the charging pile to perform current regulation.

[0056] Specifically, Figure 5 FIG. 1 is a schematic diagram of a specific process for calculating the charging demand current according to an optional embodiment of the present invention. Figure 5 As shown, the process begins with initializing the closed-loop regulation current to zero. It then obtains a lookup table current demand based on the battery's SOC, temperature, and maximum cell voltage. This step provides a baseline reference for charging demand. Next, the battery's SOH and fault-limiting power factor are multiplied to obtain the battery demand current, which accounts for battery aging and potential faults. This demand current is compared with the charging pile's maximum output current to ensure it does not exceed the charging pile's capacity. The process then enters the closed-loop regulation sub-process. Based on thermal management requirements, DC / DC converter limitations, and the difference between the charging pile's actual output current and the battery demand current, the charge current is dynamically adjusted to more accurately match the battery's actual demand. The process also considers transient vehicle load variations and adjusts the charging strategy to meet the power demands of the vehicle's powertrain and auxiliary systems. To protect the battery from sudden current changes, a current ramp-up and ramp-down mechanism is introduced, ensuring a smooth transition of the charging current by setting appropriate adjustment rates. Finally, all adjusted and limited current values ​​are combined to obtain the final battery demand current, which is sent to the charging pile to guide the actual charging process.

[0057] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should be aware that the present invention is not limited by the order of the actions described, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0058] Through the description of the above embodiments, those skilled in the art can clearly understand that the method for determining the battery demand current of an electric vehicle according to the above embodiment can be implemented by software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a more preferred embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0059] According to an embodiment of the present invention, a device for implementing the above-mentioned method for determining the battery demand current of an electric vehicle is also provided. Figure 6 FIG. 1 is a structural block diagram of a device for determining battery demand current of an electric vehicle according to an embodiment of the present invention. Figure 6 As shown, the device includes: a first acquisition module 61, a second acquisition module 62, a first determination module 63 and a second determination module 64. The device is described below.

[0060] The first acquisition module 61 is used to obtain the initial demand current and real-time demand current of the target battery, wherein the initial demand current is the battery demand current taking into account the fault degree of the target battery, the output limit of the charging pile, and the health of the target battery.

[0061] The second acquisition module 62 is connected to the first acquisition module 61 and is used to obtain the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current.

[0062] The first determining module 63 is connected to the second acquiring module 62 and is configured to determine a target regulating current based on the initial demand current, the real-time demand current, the output current and the charging current within a preset time interval.

[0063] The second determining module 64 is connected to the first determining module 63 and is configured to determine a target required current of the target battery based on the target regulated current and the initial required current.

[0064] It should be noted that the first acquisition module 61, the second acquisition module 62, the first determination module 63, and the second determination module 64 described above correspond to steps S201 to S204 in the embodiment. The examples and application scenarios implemented by the various modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can be run in the computer terminal 10 provided in the embodiment.

[0065] An embodiment of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one of a plurality of network devices in a computer network. The computer device includes a memory and a processor.

[0066] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and apparatus for determining the battery current demand of an electric vehicle in the embodiments of the present invention. The processor executes the software programs and modules stored in the memory to perform various functional applications and data processing, thereby implementing the above-mentioned method for determining the battery current demand of an electric vehicle. The memory can include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory can further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0067] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: obtain the initial demand current and real-time demand current of the target battery, wherein the initial demand current is the battery demand current that takes into account the fault degree of the target battery, the output limit of the charging pile, and the health of the target battery; obtain the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; determine the target regulation current within a preset time interval based on the initial demand current, real-time demand current, output current and charging current; determine the target demand current of the target battery based on the target regulation current and the initial demand current.

[0068] Optionally, the processor may also execute the program code of the following steps: obtaining the initial current demand of the target battery, including: obtaining the original current demand of the target battery based on the state of charge, minimum temperature, and cell voltage of the target battery; obtaining the health of the target battery and the degree of failure of the target battery; and determining the initial current demand based on the health and the degree of failure.

[0069] Optionally, the processor may also execute the program code of the following steps: determining the initial demand current based on the health and fault degree, including: calculating the product of the original demand current and the health to obtain a first limiting demand current; determining the fault limit power factor of the target battery based on the fault degree; calculating the product of the first limiting demand current and the fault limit power factor to obtain a second limiting demand current; obtaining the maximum output current of the charging pile; and determining the initial demand current based on the second limiting demand current and the maximum output current.

[0070] Optionally, the processor may also execute program code for the following steps: determining a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current within a preset time interval, including: determining the initial regulation current to be a first value; increasing the initial regulation current to obtain the target regulation current when the difference between the output current and the real-time demand current is not greater than a first preset threshold, the difference between the initial demand current and the charging current is greater than a second preset threshold, and the above state is maintained within the first preset time interval.

[0071] Optionally, the processor may also execute program code for the following steps: determining a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current within a preset time interval, including: determining that the initial regulation current is greater than a second value; and reducing the initial regulation current to obtain a target regulation current when the difference between the initial demand current and the charging current is less than a third preset threshold and the above state is maintained within the second preset time interval.

[0072] Optionally, the processor may also execute the program code of the following steps: determining the target demand current of the target battery based on the target regulation current and the initial demand current, including: obtaining the temperature demand current of the target battery and the limiting current of the high and low voltage converters corresponding to the target battery; calculating the sum of the initial demand current, the target regulation current and the temperature demand current to obtain a third limiting demand current; determining the target demand current based on the limiting current and the third limiting demand current.

[0073] Optionally, the processor may further execute program code of the following steps: adjusting the real-time demand current to the target demand current based on a preset change rate, wherein the preset change rate is less than a preset rate threshold.

[0074] An embodiment of the present invention provides a method for determining the battery demand current of an electric vehicle. The method comprises obtaining an initial demand current and a real-time demand current of a target battery, wherein the initial demand current is the battery demand current that takes into account the target battery's fault level, the output limit of the charging pile, and the health of the target battery; obtaining the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; determining a target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; and determining a target demand current of the target battery based on the target regulation current and the initial demand current. This method achieves the purpose of dynamic feedback regulation of the demand current during the charging process of the electric vehicle battery, thereby achieving the technical effect of improving charging efficiency and safety. This method further addresses the technical problem that current demand current regulation methods are unable to cope with different charging conditions and load changes, resulting in a lack of guaranteed charging efficiency and battery safety.

[0075] A person skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a non-volatile storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0076] The embodiment of the present invention further provides a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium can be used to store the program code executed by the method for determining the battery demand current of an electric vehicle provided in the above embodiment.

[0077] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0078] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining an initial demand current and a real-time demand current of the target battery, wherein the initial demand current is a battery demand current that takes into account the degree of failure of the target battery, the output limitation of the charging pile, and the health of the target battery; obtaining the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; determining a target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; and determining a target demand current of the target battery based on the target regulation current and the initial demand current.

[0079] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining the initial demand current of the target battery, including: obtaining the original demand current of the target battery based on the state of charge, minimum temperature and single cell voltage of the target battery; obtaining the health of the target battery and the degree of failure of the target battery; and determining the initial demand current based on the health and the degree of failure.

[0080] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining the initial demand current based on the health and fault level, including: calculating the product of the original demand current and the health to obtain a first limiting demand current; determining the fault limit power factor of the target battery based on the fault level; calculating the product of the first limiting demand current and the fault limit power factor to obtain a second limiting demand current; obtaining the maximum output current of the charging pile; and determining the initial demand current based on the second limiting demand current and the maximum output current.

[0081] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: determining a target regulation current based on the initial demand current, the real-time demand current, the output current and the charging current within a preset time interval, including: determining the initial regulation current to be a first value; when the difference between the output current and the real-time demand current is not greater than a first preset threshold, the difference between the initial demand current and the charging current is greater than a second preset threshold, and the above state is maintained within the first preset time interval, increasing the initial regulation current to obtain the target regulation current.

[0082] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining a target regulation current based on the initial demand current, the real-time demand current, the output current and the charging current within a preset time interval, including: determining that the initial regulation current is greater than a second value; when the difference between the initial demand current and the charging current is less than a third preset threshold and the above state is maintained within the second preset time interval, reducing the initial regulation current to obtain the target regulation current.

[0083] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining the target demand current of the target battery based on the target regulation current and the initial demand current, including: obtaining the temperature demand current of the target battery and the limiting current of the high and low voltage converters corresponding to the target battery; calculating the sum of the initial demand current, the target regulation current and the temperature demand current to obtain a third limiting demand current; determining the target demand current based on the limiting current and the third limiting demand current.

[0084] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: adjusting the real-time demand current to the target demand current based on a preset change rate, wherein the preset change rate is less than a preset rate threshold.

[0085] An embodiment of the present invention also provides a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can achieve: obtaining the initial demand current and real-time demand current of the target battery, wherein the initial demand current is the battery demand current taking into account the fault degree of the target battery, the output limitation of the charging pile, and the health of the target battery; obtaining the output current of the charging pile corresponding to the target battery and the charging current received by the target battery, wherein the charging current is not greater than the output current; within a preset time interval, determining the target regulation current based on the initial demand current, real-time demand current, output current and charging current; determining the target demand current of the target battery based on the target regulation current and the initial demand current.

[0086] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0087] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0089] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0090] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0091] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, and other media that can store program code.

[0092] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for determining the battery demand current of an electric vehicle, characterized in that: include: Obtaining an initial current demand and a real-time current demand of a target battery, wherein the initial current demand is a battery current demand that takes into account the fault level of the target battery, the output limit of the charging pile, and the health of the target battery; Obtaining an output current of a charging pile corresponding to the target battery and a charging current received by the target battery, wherein the charging current is not greater than the output current; determining a target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; A target demand current of the target battery is determined based on the target regulation current and the initial demand current.

2. The method according to claim 1, characterized in that The obtaining of the initial required current of the target battery includes: Obtaining an original required current of the target battery based on the state of charge, minimum temperature, and cell voltage of the target battery; Obtaining the health of the target battery and the fault degree of the target battery; The initial demand current is determined based on the health level and the fault level.

3. The method according to claim 2, characterized in that The determining the initial demand current based on the health level and the fault level includes: Calculating the product of the original demand current and the health level to obtain a first limited demand current; determining a fault-limiting power factor of the target battery based on the fault degree; Calculating the product of the first limited demand current and the fault limiting power factor to obtain a second limited demand current; Obtaining the maximum output current of the charging pile; The initial demand current is determined based on the second limited demand current and the maximum output current.

4. The method according to claim 1, wherein The determining, within a preset time interval, a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current includes: determining an initial adjustment current as a first value; When the difference between the output current and the real-time demand current is not greater than a first preset threshold, the difference between the initial demand current and the charging current is greater than a second preset threshold, and the above state is maintained within a first preset time interval, the initial regulation current is increased to obtain the target regulation current.

5. The method according to claim 1, characterized in that The determining, within a preset time interval, a target regulation current based on the initial demand current, the real-time demand current, the output current, and the charging current includes: determining that the initial adjustment current is greater than a second value; When the difference between the initial demand current and the charging current is smaller than a third preset threshold value and the above state is maintained within a second preset time interval, the initial regulation current is reduced to obtain the target regulation current.

6. The method according to claim 1, characterized in that The determining the target required current of the target battery based on the target regulated current and the initial required current includes: Obtaining the temperature demand current of the target battery and the limit current of the high and low voltage converters corresponding to the target battery; Calculating the sum of the initial demand current, the target adjustment current, and the temperature demand current to obtain a third limited demand current; The target demand current is determined based on the limit current and the third limit demand current.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: The real-time demand current is adjusted to the target demand current based on a preset change rate, wherein the preset change rate is less than a preset rate threshold.

8. A device for determining battery demand current of an electric vehicle, characterized in that: include: a first acquisition module, configured to acquire an initial current demand and a real-time current demand of a target battery, wherein the initial current demand is a battery current demand that takes into account a fault level of the target battery, an output limit of a charging pile, and a health of the target battery; A second acquisition module is configured to acquire an output current of a charging pile corresponding to the target battery and a charging current received by the target battery, wherein the charging current is not greater than the output current; a first determining module, configured to determine a target regulation current within a preset time interval based on the initial demand current, the real-time demand current, the output current, and the charging current; The second determining module is configured to determine a target required current of the target battery based on the target regulated current and the initial required current.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the method for determining the battery demand current of an electric vehicle as described in any one of claims 1 to 7.

10. A computer device, characterized in that: include: memory and processor, The memory stores a computer program; The processor is used to execute the computer program stored in the memory, and when the computer program is running, the processor executes the method for determining the battery demand current of the electric vehicle according to any one of claims 1 to 7.

11. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining the battery demand current of an electric vehicle according to any one of claims 1 to 7 is implemented.

Images