A new energy vehicle battery power switching control method, device and equipment

Abstract

The embodiment of the application relates to the field of automobile battery power control, and discloses a new energy automobile battery power switching control method, device and equipment, which comprises the following steps: acquiring discharging continuous power, peak power under battery discharging and feedback, and acquiring feedback continuous power and peak power; generating a discharging energy pool according to the discharging continuous power and the peak power, and generating a feedback energy pool according to the feedback continuous power and the peak power; analyzing actual discharging power at the current moment to analyze real-time cumulative consumed energy of the discharging energy pool, and generating a discharging power adjustment strategy based on a discharging energy pool consumption result; analyzing actual feedback power at the current moment to analyze real-time cumulative consumed energy of the feedback energy pool, and generating a feedback power adjustment strategy based on a feedback energy pool consumption result. The method disclosed in the application solves the problem of poor current battery power control precision and easy occurrence of jerk, completely decouples discharging and feedback, improves power control precision and stability, and improves automobile driving and riding smoothness.

Description

Technical Field

[0001] This invention relates to the field of automotive battery power control, and in particular to a method, apparatus, and equipment for switching control of battery power in new energy vehicles. Background Technology

[0002] SOP (State of Power) estimation is one of the core algorithms of the power battery management system. It refers to the maximum discharge power that the power battery of an electric vehicle can provide at the next moment and under continuous high current.

[0003] In real-world driving environments, electric vehicles frequently need to handle various sudden power demands, placing extremely high demands on the vehicle's power estimation. Traditional SOP (State of Operation) control methods obtain peak power and continuous power by looking up tables for SOC (State of Charge) and temperature, and then directly perform a simple linear switch between peak power and continuous power based on the current power usage duration. This approach cannot fully consider the battery's dynamic characteristics and capability attributes, making it difficult to effectively utilize the battery's capacity and easily leading to over-discharge damage.

[0004] Existing technologies use energy pools to combine with battery capacity for power control, and employ timing hard switching control based on the minimum peak power of all components in the power system, which fails to maximize system efficiency. Furthermore, the target technology uses a shared energy pool and a shared reference for discharge and recharge, without distinguishing between physical differences in operating conditions, resulting in low control accuracy and a tendency to experience jerks. Summary of the Invention

[0005] The purpose of this invention is to provide at least one method, device, and equipment for controlling the power switching of new energy vehicle batteries, which can at least solve the problems of poor battery power control accuracy and easy jerking, and can at least achieve complete decoupling of discharge and feedback, improve power control accuracy and stability, and improve the smoothness of vehicle driving.

[0006] To address the aforementioned technical problems, at least one embodiment of this application provides a method for controlling the switching power of a new energy vehicle battery, comprising: Obtain the discharge duration power and peak discharge power during battery discharge, and the feedback duration power and peak feedback power during battery regenerative braking; The peak discharge total energy is calculated based on the discharge duration power and discharge peak power to generate a discharge energy pool, and the peak feedback total energy is calculated based on the feedback duration power and feedback peak power to generate a feedback energy pool. The actual discharge power at the current moment is compared with the continuous discharge power to analyze the real-time cumulative energy consumption of the discharge energy pool, generate the discharge energy pool consumption result, and generate a discharge power adjustment strategy based on the discharge energy pool consumption result, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. The actual feedback power at the current moment is compared with the preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result, so as to adjust the feedback power of the battery using the feedback power adjustment strategy.

[0007] At least one embodiment of this application also provides a new energy vehicle battery power switching control device, comprising: The data acquisition module is used to acquire the discharge duration power and peak discharge power during battery discharge, as well as the feedback duration power and peak feedback power during battery regenerative braking. An energy pool construction module is used to calculate the peak discharge total energy based on the discharge duration power and discharge peak power, generate a discharge energy pool, and calculate the peak feedback total energy based on the feedback duration power and feedback peak power, generate a feedback energy pool. The discharge power switching module is used to compare and analyze the actual discharge power at the current moment with the discharge continuous power, the real-time cumulative energy consumption of the discharge energy pool, generate the discharge energy pool consumption result, and generate a discharge power adjustment strategy based on the discharge energy pool consumption result, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. The feedback power switching module is used to compare and analyze the actual feedback power at the current moment with the preset feedback power threshold, the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result, so as to adjust the feedback power of the battery using the feedback power adjustment strategy.

[0008] At least one embodiment of this application also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute the above-described new energy vehicle battery power switching control method.

[0009] At least one embodiment of this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described new energy vehicle battery power switching control method.

[0010] This application provides a method, apparatus, and device for controlling the power switching of a new energy vehicle battery. It calculates the peak discharge total energy by using the discharge duration power and peak discharge power during battery discharge, generating a discharge energy pool; and calculates the peak feedback total energy by using the feedback duration power and peak feedback power during battery recharge, generating a feedback energy pool. This allows battery discharge and recharge to be calculated independently using the discharge energy pool and feedback energy pool respectively, achieving complete decoupling and preventing interference between discharge and recharge. By comparing and analyzing the actual discharge power and discharge duration power at the current moment, the real-time accumulated energy consumption of the discharge energy pool is analyzed to generate a discharge energy pool consumption result. Based on this result, a discharge power adjustment strategy is generated to adjust the battery's discharge power. In the discharge mode, the discharge duration power is used as a benchmark, and only the peak portion exceeding the safe power is counted, focusing on the discharge... The energy pool consumption results generate a discharge power adjustment strategy to maximize the utilization of the discharge energy pool, precisely control power switching, avoid frequent power jumps, and ensure a smooth driving experience. By comparing and analyzing the actual feedback power at the current moment with the preset feedback power threshold, the real-time cumulative energy consumption of the feedback energy pool is analyzed to generate the feedback energy pool consumption results. Based on the feedback energy pool consumption results, a feedback power adjustment strategy is generated to adjust the battery's feedback power. In battery feedback mode, the preset feedback power threshold is used as a benchmark, thus making the battery's discharge and feedback adopt a differentiated integral benchmark. The logic is clear and the physical meaning is explicit. At the same time, the feedback power adjustment strategy is generated based on the feedback energy pool consumption results, which enables precise power control switching in feedback mode, maximizes the utilization of the feedback energy pool, is simple and reliable to control, and avoids frequent power jumps, ensuring a smooth driving experience.

[0011] In some optional embodiments, the step of comparing and analyzing the actual discharge power at the current moment with the continuous discharge power to accumulate and digest the energy in real time in the discharge energy pool includes: The difference between the actual discharge power and the discharge duration power is calculated in real time using the actual discharge power at the current moment to obtain the discharge power difference; The real-time consumption integral of the discharge energy pool is calculated using the discharge power difference, and a discharge energy pool consumption result including the first integral value is generated. The calculation formula for calculating the real-time consumption integral of the discharge energy pool using the discharge power difference includes: Ct1 = ∫(Pactive1 P1 continues) dt; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; and P1_continuous represents the continuous discharge power. When Pactive1 > P1 for a sustained period: positive integral, consuming peak energy; when Pactive1 < P1 for a sustained period: negative integral, restoring peak energy.

[0012] In some optional embodiments, generating a discharge power adjustment strategy based on the discharge energy pool consumption result includes: Based on the preset discharge power limit conditions and discharge power recovery conditions, determine the conditions currently met by the first integral value; When the first integral value satisfies the discharge power limit condition, a first discharge power adjustment strategy is generated to switch the battery from the discharge peak power to the discharge duration power at a first preset switching rate. When the first integral value satisfies the discharge power recovery condition, a second discharge power adjustment strategy is generated to restore the battery from the actual discharge power to the discharge peak power at a second preset switching rate. The discharge power limiting condition includes: Ct1 ≥ Ca1×100%; In the formula, Ct1 represents the first integral value; Ca1 represents the peak total discharge energy of the discharge energy cell; The discharge power recovery conditions include: Ct1 ≤ 0; Pactive1 ≤ Xi1×P1 for a duration that reaches a preset duration; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; Xi1 represents the coefficient; and P1_continuous represents the continuous discharge power.

[0013] In some optional embodiments, the method further includes: if the battery is in a discharge mode and feedback power occurs, determining that the actual discharge power of the current battery meets the discharge power recovery condition, and adjusting the discharge power of the battery using the second discharge power adjustment strategy.

[0014] In some optional embodiments, the step of comparing the actual feedback power at the current moment with a preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool includes: The difference between the actual feedback power and the preset feedback power threshold is calculated in real time using the actual feedback power at the current moment to obtain the feedback power difference; the preset feedback power threshold is set to zero. The real-time consumption integral of the feedback energy pool is calculated using the feedback power difference, and a feedback energy pool consumption result including a second integral value is generated. The calculation formula for calculating the real-time consumption integral of the feedback energy pool using the feedback power difference includes: Ct2 = ∫(Pactive2 0)dt; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; when Pactive2>0: positive integral, peak energy is consumed; when Pactive2<0 continuously: negative integral, peak energy is recovered.

[0015] In some optional embodiments, generating a feedback power adjustment strategy based on the feedback energy pool consumption results includes: Based on the preset feedback power limit conditions and feedback power recovery conditions, determine the conditions currently met by the second integral value; When the second integral value satisfies the feedback power limit condition, a first feedback power adjustment strategy is generated to switch the battery from feedback peak power to feedback continuous power at a third preset switching rate. When the second integral value satisfies the feedback power recovery condition, a second feedback power adjustment strategy is generated to restore the battery from the actual discharge power to the feedback peak power at a fourth preset switching rate. The feedback power limiting condition includes: Ct2 ≥ Ca2×100%; In the formula, Ct2 represents the second integral value; Ca2 represents the peak total energy of the feedback energy pool; The feedback power recovery conditions include: Ct2 ≤ 0; Pactive2 ≤ Xi2×P2 for a duration that reaches a preset duration; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; Xi2 represents the coefficient; and P2_continuous represents the continuous feedback power.

[0016] In some optional embodiments, it also includes: If the battery is in feedback mode and discharges, it is determined that the actual feedback power of the current battery meets the feedback power recovery condition, and the feedback power of the battery is adjusted according to the second feedback power adjustment strategy. Attached Figure Description

[0017] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.

[0018] Figure 1 This is a flowchart of a new energy vehicle battery power switching control method provided in one embodiment of this application; Figure 2 This is a flowchart of the discharge energy pool consumption analysis in a new energy vehicle battery power switching control method provided in one embodiment of this application; Figure 3This is a flowchart of the discharge power adjustment strategy in a new energy vehicle battery power switching control method provided in one embodiment of this application; Figure 4 This is a flowchart of the analysis of the regenerative energy pool consumption in a new energy vehicle battery power switching control method provided in one embodiment of this application; Figure 5 This is a flowchart of the feedback power adjustment strategy in a new energy vehicle battery power switching control method provided in one embodiment of this application; Figure 6 This is a schematic diagram of a new energy vehicle battery power switching control device provided in another embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device provided in another embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0020] To facilitate understanding of the embodiments of this application, relevant content regarding automotive battery power control will be introduced first.

[0021] SOP (State of Power) estimation is one of the core algorithms of a power battery management system. It refers to the maximum discharge power that an electric vehicle's power battery can provide at the next moment and under continuous high current. In real-world driving environments, electric vehicles often need to cope with various sudden power demands, placing extremely high demands on the vehicle's power estimation. Traditional SOP control methods obtain peak power and continuous power by looking up tables for SOC and temperature, and then directly perform a simple linear switch between peak power and continuous power based on the current power usage duration. This approach cannot fully consider the battery's dynamic characteristics and capability attributes, making it difficult to effectively utilize the battery's capacity and easily causing over-discharge damage.

[0022] Existing technologies use energy pools to combine with battery capacity for power control, and employ timing hard switching control based on the minimum peak power of all components in the power system, which fails to maximize system efficiency. Furthermore, the target technology uses a shared energy pool and a shared reference for discharge and recharge, without distinguishing between physical differences in operating conditions, resulting in low control accuracy and a tendency to experience jerks.

[0023] 1) The existing power algorithm performs timing hard switching control based on the minimum peak power of all components in the power system, which cannot maximize the system's efficiency; 2) Discharge and feedback share the same energy pool and reference, without distinguishing the physical differences of the operating conditions, resulting in low control accuracy and a tendency to jerk. 3) Power recovery depends solely on the energy pool status, lacks a stable time assessment, and is prone to frequent jumps and pauses; 4) The switching slope is not standardized, resulting in a large power surge, which affects battery life and driving experience.

[0024] Most solutions are only applicable to a single power configuration and cannot be compatible with multiple platforms such as pure electric, hybrid, and fuel cell.

[0025] To address the aforementioned technical problems of poor power control accuracy and susceptibility to jerking, this invention proposes a power switching control method for new energy vehicle batteries. The implementation details of this embodiment of the power switching control method for new energy vehicle batteries are described below. The following content is only for ease of understanding and is not essential for implementing this solution.

[0026] Example 1: The new energy vehicle battery power switching control method of this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities. Its specific process can be as follows: Figure 1 As shown, it includes: Step 101: Obtain the discharge duration power and peak discharge power during battery discharge, and the feedback duration power and peak feedback power during battery regenerative braking. Specifically, new energy vehicles include pure electric, hybrid, and fuel cell vehicles. Based on this, by acquiring the discharge continuous power and discharge peak power in the discharge mode of the vehicle battery and the feedback continuous power and feedback peak power in the feedback mode, the discharge mode and feedback mode of the vehicle battery can be independently controlled according to their respective continuous power and peak power, so as to make discharge and feedback independent.

[0027] Step 102: Calculate the peak discharge total energy based on the discharge duration power and discharge peak power to generate a discharge energy pool, and calculate the peak feedback total energy based on the feedback duration power and feedback peak power to generate a feedback energy pool. Specifically, by constructing discharge energy pools and feedback energy pools with their respective continuous power and peak power in discharge mode and feedback mode, discharge and feedback can be completely decoupled and do not interfere with each other.

[0028] In some cases, the generation of the discharge energy pool is based on the discharge duration power, and the formula for calculating the peak discharge total energy is: Ca1 = ∫(PT1) P1 continues) dt; In the formula, Ca1 represents the peak discharge total energy of the discharge energy cell; PT1 represents the discharge peak power; and P1 represents the discharge continuous power.

[0029] Furthermore, with 0 as the baseline zero point, the formula for calculating the peak total feedback energy of the energy feedback pool is: Ca2 = ∫(PT2 0) dt; In the formula, Ca2 represents the peak total energy of the feedback energy pool; PT2 represents the peak power of the feedback.

[0030] By using the continuous discharge power as the integral benchmark for the battery discharge mode, only the peak portion exceeding the safe power is counted, thereby accurately controlling the battery discharge power based on the discharge energy pool; by using 0 as the benchmark for the battery feedback mode, all feedback power is counted, making it convenient to accurately control the battery feedback power through the feedback energy pool. By adopting differentiated integral benchmarks for different operating conditions, the logic is clear and the physical meaning is explicit, thus improving the accuracy of automotive battery power control.

[0031] Step 103: Compare and analyze the actual discharge power at the current moment with the discharge continuous power to accumulate energy consumption in real time in the discharge energy pool, generate discharge energy pool consumption results, and generate a discharge power adjustment strategy based on the discharge energy pool consumption results, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. Specifically, by comparing and analyzing the actual discharge power at the current moment with the continuous discharge power, the real-time cumulative energy consumption of the discharge energy cell is analyzed to generate the discharge energy cell consumption result. Based on the discharge energy cell consumption result, a discharge power adjustment strategy is generated to adjust the battery's discharge power. This ensures that the discharge is based on the continuous discharge power, only counting the peak portion exceeding the safe power. The discharge power adjustment strategy is generated around the discharge energy cell consumption result to precisely control power switching, avoid frequent power jumps, and ensure smooth driving.

[0032] Step 104: Compare and analyze the actual feedback power at the current moment with the preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result to adjust the battery's feedback power using the feedback power adjustment strategy.

[0033] Specifically, by comparing the actual feedback power at the current moment with the preset feedback power threshold, the real-time cumulative energy consumption of the feedback energy pool is analyzed to generate the feedback energy pool consumption result. Based on the feedback energy pool consumption result, a feedback power adjustment strategy is generated to adjust the battery's feedback power. In the battery feedback mode, the preset feedback power threshold is used as the benchmark, so that the battery discharge and feedback adopt a differentiated integral benchmark. The logic is clear and the physical meaning is obvious. At the same time, the feedback power adjustment strategy is generated based on the feedback energy pool consumption result, which can achieve precise power control switching in the feedback mode. The control is simple and reliable, and frequent power jumps are avoided, ensuring the smoothness of driving.

[0034] In this embodiment, the peak discharge total energy is calculated by the discharge duration power and peak discharge power during battery discharge, generating a discharge energy pool. Similarly, the peak feedback total energy is calculated by the feedback duration power and peak feedback power during battery recharge, generating a feedback energy pool. This allows battery discharge and recharge to be calculated independently using the discharge energy pool and feedback energy pool, achieving complete decoupling and preventing interference between them. By comparing the actual discharge power and discharge duration power at the current moment, the real-time cumulative energy consumption of the discharge energy pool is analyzed to generate discharge energy pool consumption results. Based on these results, a discharge power adjustment strategy is generated to adjust the battery's discharge power. This ensures that in the discharge mode, the discharge duration power is used as a benchmark, only counting the peak portion exceeding the safe power, and the discharge power adjustment is generated based on the discharge energy pool consumption results. The strategy maximizes the utilization of the discharge energy pool, precisely controls power switching, avoids frequent power jumps, and ensures a smooth driving experience. It analyzes the real-time cumulative energy consumption of the feedback energy pool by comparing the actual feedback power at the current moment with a preset feedback power threshold, generates a feedback energy pool consumption result, and generates a feedback power adjustment strategy based on this result. This strategy adjusts the battery's feedback power, ensuring that the battery discharge and feedback use a differentiated integral benchmark based on the preset feedback power threshold in feedback mode. The logic is clear, and the physical meaning is explicit. Furthermore, the feedback power adjustment strategy, generated based on the feedback energy pool consumption result, enables precise power control switching in feedback mode, maximizing the utilization of the feedback energy pool. The control is simple and reliable, and it avoids frequent power jumps, ensuring a smooth driving experience.

[0035] In some embodiments, the actual discharge power at the current moment is compared with the continuous discharge power to analyze the real-time cumulative energy consumed by the discharge energy pool, such as... Figure 2 As shown, it includes: Step 201: Calculate the difference between the actual discharge power and the discharge duration power in real time using the actual discharge power at the current moment to obtain the discharge power difference; Step 202: Calculate the real-time consumption integral of the discharge energy pool using the discharge power difference, and generate a discharge energy pool consumption result including the first integral value; Furthermore, the calculation formula for calculating the real-time consumption integral of the discharge energy pool using the discharge power difference includes: Ct1 = ∫(Pactive1 P1 continues) dt; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; and P1_continuous represents the continuous discharge power. When Pactive1 > P1 for a sustained period: positive integral, consuming peak energy; when Pactive1 < P1 for a sustained period: negative integral, restoring peak energy.

[0036] By calculating the real-time consumption integral of the discharge energy cell using the discharge power difference, the consumption of the discharge energy cell can be represented in integral form. When Pactive1 > P1 for a continuous period: positive integration, the integral accumulates in the positive direction, and Ct1 continuously increases, consuming peak energy; when Pactive1 < P1 for a continuous period: negative integration, the integral accumulates in the negative direction, and Ct1 continuously decreases, restoring peak energy and peak energy cell capacity. This allows the discharge energy cell consumption result to be reflected in real time through the first integral value, thus facilitating precise control of battery power regulation.

[0037] In some examples, a discharge power adjustment strategy is generated based on the discharge energy pool consumption results, such as... Figure 3 As shown, it includes: Step 301: Based on the preset discharge power limit conditions and discharge power recovery conditions, determine the conditions currently met by the first integral value; Step 302: When the first integral value satisfies the discharge power limitation condition, a first discharge power adjustment strategy is generated to switch the battery from the discharge peak power to the discharge duration power at a first preset switching rate. Step 303: When the first integral value satisfies the discharge power recovery condition, a second discharge power adjustment strategy is generated to restore the battery from the actual discharge power to the discharge peak power at a second preset switching rate. The discharge power limiting condition includes: Ct1 ≥ Ca1×100%; In the formula, Ct1 represents the first integral value; Ca1 represents the peak total discharge energy of the discharge energy cell; The discharge power recovery conditions include: Ct1 ≤ 0; Pactive1 ≤ Xi1×P1 for a duration that reaches a preset duration; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; Xi1 represents the coefficient; and P1_continuous represents the continuous discharge power.

[0038] Specifically, when Ct1 ≥ Ca1×100%, i.e., when the energy pool is depleted, the battery's discharge power is limited by switching the current peak discharge power to continuous discharge power. A dual recovery condition is set for the discharge power recovery: the energy pool must recover, and a preset low-power stability period must be met before the peak discharge power is restored. This allows for precise power switching control and avoids vehicle vibration. Furthermore, the power switching process is combined with a first preset rate and a second preset rate for smooth switching, improving overall vehicle smoothness and battery durability.

[0039] Specifically, the first preset rate includes m × rated voltage kW / s, where m is the rate current coefficient and the rated voltage is the rated voltage of the car battery. That is, the power is reduced at a constant speed according to the maximum allowable power per second to avoid sudden changes in battery current that could damage the cells and drastic fluctuations in DC bus voltage. The second preset rate is consistent with the first preset rate, so that the battery's power increase and decrease have the same slope, ensuring that the power increase and decrease rates are consistent, and that the power limiting and power recovery processes can be smoothly switched to avoid vehicle vibration.

[0040] In some embodiments, the control method further includes: if the battery is in a discharge mode and feedback power occurs, determining that the actual discharge power of the current battery meets the discharge power recovery condition, and adjusting the discharge power of the battery using the second discharge power adjustment strategy.

[0041] Specifically, if feedback power occurs during the battery discharge mode, negative integration is automatically executed, and then the battery discharge power is adjusted using the second discharge power adjustment strategy to enable full-condition adaptive operation, conflict-free operation, and logic-free operation.

[0042] In some embodiments, the actual feedback power at the current moment is compared with a preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool, such as... Figure 4 As shown, it includes: Step 401: Calculate the difference between the actual feedback power and the preset feedback power threshold in real time using the actual feedback power at the current moment to obtain the feedback power difference; the preset feedback power threshold is set to zero. Step 402: Calculate the real-time consumption integral of the feedback energy pool using the feedback power difference, and generate the feedback energy pool consumption result including the second integral value; The calculation formula for calculating the real-time consumption integral of the feedback energy pool using the feedback power difference includes: Ct2 = ∫(Pactive2 0)dt; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; when Pactive2>0: positive integral, peak energy is consumed; when Pactive2<0 continuously: negative integral, peak energy is recovered.

[0043] By calculating the feedback power difference with 0 as the preset feedback power threshold, and then calculating the real-time consumption integral of the feedback energy pool through the feedback power difference, the consumption of the feedback energy pool can be represented in integral form. When Pactive2 > 0: positive integration, the integral accumulates in the positive direction, and Ct2 continuously increases, consuming the peak feedback energy; when Pactive2 < 0: negative integration, the integral accumulates in the negative direction, and Ct2 continuously decreases, restoring the peak feedback energy and the peak energy pool capacity. This allows the feedback energy pool consumption result to be reflected in real time through the second integral value, thus facilitating precise control of battery power regulation.

[0044] In some examples, a feedback power adjustment strategy is generated based on the consumption results of the feedback energy pool, such as... Figure 5 As shown, it includes: Step 501: Based on the preset feedback power limit conditions and feedback power recovery conditions, determine the conditions currently met by the second integral value; Step 502: When the second integral value satisfies the feedback power limitation condition, a first feedback power adjustment strategy is generated to switch the battery from feedback peak power to feedback continuous power at a third preset switching rate. Step 503: When the second integral value satisfies the feedback power recovery condition, a second feedback power adjustment strategy is generated to restore the battery from the actual discharge power to the feedback peak power at a fourth preset switching rate; The feedback power limiting condition includes: Ct2 ≥ Ca2×100%; In the formula, Ct2 represents the second integral value; Ca2 represents the peak total energy of the feedback energy pool; The feedback power recovery conditions include: Ct2 ≤ 0; Pactive2 ≤ Xi2×P2 for a duration that reaches a preset duration; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; Xi2 represents the coefficient; and P2_continuous represents the continuous feedback power.

[0045] Specifically, when Ct2 ≥ Ca2 × 100%, i.e., when the regenerative energy pool is depleted, the regenerative power of the battery is limited by switching the current peak regenerative power to continuous regenerative power for output. A dual recovery condition is set for the regenerative power recovery: the regenerative energy pool must be restored, and a low-power stability preset duration must be met before peak regenerative power can be restored. This allows for precise control of the regenerative power switching and avoids vehicle vibration. Furthermore, the power switching process is combined with a third and a fourth preset rate for smooth switching, improving overall vehicle smoothness and battery durability.

[0046] Specifically, the third preset rate includes 0.1C × rated voltage kW / s, where 0.1C is the rate current and the rated voltage is the rated voltage of the car battery. This means that the power is reduced at a constant rate according to the maximum allowable power per second to avoid sudden changes in battery current that could damage the cells and drastic fluctuations in DC bus voltage. The fourth preset rate is consistent with the third preset rate, so that the battery's power increase and decrease have the same slope, ensuring that the power increase and decrease rates are consistent, and that the power limiting and power recovery processes can be smoothly switched to avoid vehicle vibration.

[0047] In some embodiments, the control method further includes: if the battery is in a feedback mode and discharges, determining that the actual feedback power of the current battery meets the feedback power recovery condition, and adjusting the feedback power of the battery using the second feedback power adjustment strategy.

[0048] Specifically, if discharge power occurs during the battery feedback mode, the negative integral in the feedback mode is automatically executed, and then the battery feedback power is adjusted using the second feedback power adjustment strategy to enable full-condition self-adaptation, conflict-free operation, and logic-free operation.

[0049] The new energy vehicle battery power switching control method provided in this embodiment is applicable to all new energy vehicles, including pure electric, hybrid, and fuel cell vehicles. By constructing a discharge energy pool and a feedback energy pool, the battery's discharge and feedback are completely decoupled and do not interfere with each other. Furthermore, for the discharge mode, the continuous discharge power is taken as zero, and for the feedback mode, 0 is taken as zero. Dual references are used for separate integration processing of the two modes, resulting in clear physical meaning. Simultaneously, a two-stage switching strategy is used for both the discharge and feedback modes, achieving clear switching control between peak and continuous power levels. This method is not only simple and reliable, but also utilizes the discharge energy pool and the feedback energy pool... The system performs precise analysis of energy consumption to improve the accuracy of power switching control. Furthermore, the recovery of both the discharge energy pool and the feedback energy pool is controlled by setting requirements for the feedback energy pool to recover, while also meeting the dual recovery conditions of a preset low-power stability time. This ensures the stability of the power recovery process and avoids vehicle vibration. Finally, the system performs uniform speed switching control at a smooth rate during power switching to ensure a shock-free switching process, improve vehicle operation stability, achieve more precise and stable power output, protect the battery, extend its lifespan, avoid frequent power jumps, and provide a smoother driving experience. Moreover, the system is simple in logic, requires little computation, and is easily mass-producible.

[0050] Example 2: Another embodiment of this application relates to a new energy vehicle battery power switching control device. The implementation details of this embodiment's new energy vehicle battery power switching control device are described below. The following implementation details are provided for ease of understanding and are not essential for implementing this solution. A schematic diagram of this embodiment's new energy vehicle battery power switching control device can be seen as follows: Figure 6 As shown, it includes a data acquisition module 801, an energy pool construction module 802, a discharge power switching module 803, and a feedback power switching module 804.

[0051] The data acquisition module 801 is used to acquire the discharge duration power and peak discharge power during battery discharge, as well as the feedback duration power and peak feedback power during battery regenerative braking. The energy pool construction module 802 is used to calculate the peak discharge total energy based on the discharge duration power and the discharge peak power, generate a discharge energy pool, and calculate the peak feedback total energy based on the feedback duration power and the feedback peak power, generate a feedback energy pool. The discharge power switching module 803 is used to compare and analyze the actual discharge power at the current moment with the discharge continuous power, the real-time cumulative energy consumption of the discharge energy pool, generate the discharge energy pool consumption result, and generate a discharge power adjustment strategy based on the discharge energy pool consumption result, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. The feedback power switching module 804 is used to compare and analyze the actual feedback power at the current moment with the preset feedback power threshold, the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result, so as to adjust the feedback power of the battery using the feedback power adjustment strategy.

[0052] In some embodiments, the step of comparing and analyzing the actual discharge power at the current moment with the continuous discharge power to accumulate and digest the energy in real time by the discharge energy pool includes: The difference between the actual discharge power and the discharge duration power is calculated in real time using the actual discharge power at the current moment to obtain the discharge power difference; The real-time consumption integral of the discharge energy pool is calculated using the discharge power difference, and a discharge energy pool consumption result including the first integral value is generated. The calculation formula for calculating the real-time consumption integral of the discharge energy pool using the discharge power difference includes: Ct1 = ∫(Pactive1 P1 continues) dt; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; and P1_continuous represents the continuous discharge power. When Pactive1 > P1 for a sustained period: positive integral, consuming peak energy; when Pactive1 < P1 for a sustained period: negative integral, restoring peak energy.

[0053] In some embodiments, generating a discharge power adjustment strategy based on the discharge energy pool consumption result includes: Based on the preset discharge power limit conditions and discharge power recovery conditions, determine the conditions currently met by the first integral value; When the first integral value satisfies the discharge power limit condition, a first discharge power adjustment strategy is generated to switch the battery from the discharge peak power to the discharge duration power at a first preset switching rate. When the first integral value satisfies the discharge power recovery condition, a second discharge power adjustment strategy is generated to restore the battery from the actual discharge power to the discharge peak power at a second preset switching rate. The discharge power limiting condition includes: Ct1 ≥ Ca1×100%; In the formula, Ct1 represents the first integral value; Ca1 represents the peak total discharge energy of the discharge energy cell; The discharge power recovery conditions include: Ct1 ≤ 0; Pactive1 ≤ Xi1×P1 for a duration that reaches a preset duration; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; Xi1 represents the coefficient; and P1_continuous represents the continuous discharge power.

[0054] In some embodiments, the method further includes: if the battery is in a discharge mode and feedback power occurs, determining that the actual discharge power of the current battery meets the discharge power recovery condition, and adjusting the discharge power of the battery using the second discharge power adjustment strategy.

[0055] In some embodiments, comparing the actual feedback power at the current moment with a preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool includes: The difference between the actual feedback power and the preset feedback power threshold is calculated in real time using the actual feedback power at the current moment to obtain the feedback power difference; the preset feedback power threshold is set to zero. The real-time consumption integral of the feedback energy pool is calculated using the feedback power difference, and a feedback energy pool consumption result including a second integral value is generated. The calculation formula for calculating the real-time consumption integral of the feedback energy pool using the feedback power difference includes: Ct2 = ∫(Pactive2) 0)dt; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; when Pactive2>0: positive integral, peak energy is consumed; when Pactive2<0 continuously: negative integral, peak energy is recovered.

[0056] In some embodiments, generating a feedback power adjustment strategy based on the feedback energy pool consumption results includes: Based on the preset feedback power limit conditions and feedback power recovery conditions, determine the conditions currently met by the second integral value; When the second integral value satisfies the feedback power limit condition, a first feedback power adjustment strategy is generated to switch the battery from feedback peak power to feedback continuous power at a third preset switching rate. When the second integral value satisfies the feedback power recovery condition, a second feedback power adjustment strategy is generated to restore the battery from the actual discharge power to the feedback peak power at a fourth preset switching rate. The feedback power limiting condition includes: Ct2 ≥ Ca2×100%; In the formula, Ct2 represents the second integral value; Ca2 represents the peak total energy of the feedback energy pool; The feedback power recovery conditions include: Ct2 ≤ 0; Pactive2 ≤ Xi2×P2 for a duration that reaches a preset duration; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; Xi2 represents the coefficient; and P2_continuous represents the continuous feedback power.

[0057] In some embodiments, it also includes: If the battery is in feedback mode and discharges, it is determined that the actual feedback power of the current battery meets the feedback power recovery condition, and the feedback power of the battery is adjusted according to the second feedback power adjustment strategy.

[0058] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0059] Example 3: Another embodiment of this application relates to an electronic device, such as... Figure 7 As shown, it includes: at least one processor 901; and a memory 902 communicatively connected to the at least one processor 901; wherein the memory 902 stores instructions that can be executed by the at least one processor 901, and the instructions are executed by the at least one processor 901 to enable the at least one processor 901 to execute the new energy vehicle battery power switching control method in the above embodiments.

[0060] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0061] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0062] Example 4: Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the method embodiments described above.

[0063] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0064] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A method for controlling the switching power of a new energy vehicle battery, characterized in that, include: Obtain the discharge duration power and peak discharge power during battery discharge, and the feedback duration power and peak feedback power during battery regenerative braking; The peak discharge total energy is calculated based on the discharge duration power and discharge peak power to generate a discharge energy pool, and the peak feedback total energy is calculated based on the feedback duration power and feedback peak power to generate a feedback energy pool. The actual discharge power at the current moment is compared with the continuous discharge power to analyze the real-time cumulative energy consumption of the discharge energy pool, generate the discharge energy pool consumption result, and generate a discharge power adjustment strategy based on the discharge energy pool consumption result, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. The actual feedback power at the current moment is compared with the preset feedback power threshold to analyze the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result, so as to adjust the feedback power of the battery using the feedback power adjustment strategy.

2. The method for switching control of battery power in a new energy vehicle according to claim 1, characterized in that, The step of comparing and analyzing the actual discharge power at the current moment with the continuous discharge power to accumulate and digest energy in real time includes: The difference between the actual discharge power and the discharge duration power is calculated in real time using the actual discharge power at the current moment to obtain the discharge power difference; The real-time consumption integral of the discharge energy pool is calculated using the discharge power difference, and a discharge energy pool consumption result including the first integral value is generated. The calculation formula for calculating the real-time consumption integral of the discharge energy pool using the discharge power difference includes: Ct1 = ∫(Pactive1 P1 continues) dt; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; and P1_continuous represents the continuous discharge power. When Pactive1 > P1 for a sustained period: positive integral, consuming peak energy; when Pactive1 < P1 for a sustained period: negative integral, restoring peak energy.

3. The method for switching control of battery power in a new energy vehicle according to claim 2, characterized in that, The generation of a discharge power adjustment strategy based on the discharge energy pool consumption result includes: Based on the preset discharge power limit conditions and discharge power recovery conditions, determine the conditions currently met by the first integral value; When the first integral value satisfies the discharge power limit condition, a first discharge power adjustment strategy is generated to switch the battery from the discharge peak power to the discharge duration power at a first preset switching rate. When the first integral value satisfies the discharge power recovery condition, a second discharge power adjustment strategy is generated to restore the battery from the actual discharge power to the discharge peak power at a second preset switching rate. The discharge power limiting condition includes: Ct1 ≥ Ca1×100%; In the formula, Ct1 represents the first integral value; Ca1 represents the peak total discharge energy of the discharge energy cell; The discharge power recovery conditions include: Ct1 ≤ 0; Pactive1 ≤ Xi1×P1 for a duration that reaches a preset duration; In the formula, Ct1 represents the first integral value; Pactive1 represents the actual discharge power; Xi1 represents the coefficient; and P1_continuous represents the continuous discharge power.

4. The method for switching control of battery power in a new energy vehicle according to claim 3, characterized in that, Also includes: If the battery is in discharge mode and feedback power occurs, it is determined that the actual discharge power of the current battery meets the discharge power recovery condition, and the discharge power of the battery is adjusted according to the second discharge power adjustment strategy.

5. The method for switching control of battery power in a new energy vehicle according to claim 1, characterized in that, The step of comparing and analyzing the actual feedback power at the current moment with a preset feedback power threshold, and the real-time cumulative energy consumption of the feedback energy pool, includes: The difference between the actual feedback power and the preset feedback power threshold is calculated in real time using the actual feedback power at the current moment to obtain the feedback power difference; the preset feedback power threshold is set to zero. The real-time consumption integral of the feedback energy pool is calculated using the feedback power difference, and a feedback energy pool consumption result including a second integral value is generated. The calculation formula for calculating the real-time consumption integral of the feedback energy pool using the feedback power difference includes: Ct2 = ∫(Pactive2 0)dt; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; when Pactive2>0: positive integral, peak energy is consumed; when Pactive2<0 continuously: negative integral, peak energy is recovered.

6. The method for switching power of a new energy vehicle battery according to claim 5, characterized in that, The generation of a feedback power adjustment strategy based on the consumption results of the feedback energy pool includes: Based on the preset feedback power limit conditions and feedback power recovery conditions, determine the conditions currently met by the second integral value; When the second integral value satisfies the feedback power limit condition, a first feedback power adjustment strategy is generated to switch the battery from feedback peak power to feedback continuous power at a third preset switching rate. When the second integral value satisfies the feedback power recovery condition, a second feedback power adjustment strategy is generated to restore the battery from the actual discharge power to the feedback peak power at a fourth preset switching rate. The feedback power limiting condition includes: Ct2 ≥ Ca2×100%; In the formula, Ct2 represents the second integral value; Ca2 represents the peak total energy of the feedback energy pool; The feedback power recovery conditions include: Ct2 ≤ 0; Pactive2 ≤ Xi2×P2 for a duration that reaches a preset duration; In the formula, Ct2 represents the second integral value; Pactive2 represents the actual feedback power; Xi2 represents the coefficient; and P2_continuous represents the continuous feedback power.

7. The method for switching control of battery power in a new energy vehicle according to claim 6, characterized in that, Also includes: If the battery is in feedback mode and discharges, it is determined that the actual feedback power of the current battery meets the feedback power recovery condition, and the feedback power of the battery is adjusted according to the second feedback power adjustment strategy.

8. A battery power switching control device for new energy vehicles, characterized in that, include: The data acquisition module is used to acquire the discharge duration power and peak discharge power during battery discharge, as well as the feedback duration power and peak feedback power during battery regenerative braking. An energy pool construction module is used to calculate the peak discharge total energy based on the discharge duration power and discharge peak power, generate a discharge energy pool, and calculate the peak feedback total energy based on the feedback duration power and feedback peak power, generate a feedback energy pool. The discharge power switching module is used to compare and analyze the actual discharge power at the current moment with the discharge continuous power, the real-time cumulative energy consumption of the discharge energy pool, generate the discharge energy pool consumption result, and generate a discharge power adjustment strategy based on the discharge energy pool consumption result, so as to adjust the discharge power of the battery using the discharge power adjustment strategy. The feedback power switching module is used to compare and analyze the actual feedback power at the current moment with the preset feedback power threshold, the real-time cumulative energy consumption of the feedback energy pool, generate the feedback energy pool consumption result, and generate a feedback power adjustment strategy based on the feedback energy pool consumption result, so as to adjust the feedback power of the battery using the feedback power adjustment strategy.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the new energy vehicle battery power switching control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it is the new energy vehicle battery power switching control method as described in any one of claims 1 to 7.

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