Control method and control system of power board circuit device

Abstract

The invention discloses a control method and a control system of a power board circuit device, the power board circuit device is applied to a battery system, the power board circuit device comprises a plurality of power switch elements, and each power switch element controls the conduction of a charge-discharge path of a battery pack; the control method comprises the steps that an input signal is received, a target parameter is calculated according to the input signal, and the target parameter comprises target output power; adjusting the switching frequency and the duty ratio of a power switching element according to the target parameter; acquiring real-time parameters of the power board circuit device, wherein the real-time parameters comprise real-time output power; and according to the input signal, the real-time parameter and the target parameter, dynamically adjusting the switching frequency and the duty ratio of the power switching element, so that the difference between the real-time parameter and the target parameter is smaller than or equal to a parameter error threshold. According to the invention, through real-time monitoring and dynamic adjustment, load change can be quickly responded, and power fluctuation or system instability can be avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of battery management, and particularly to a control method and a control system for a power board circuit device. Background Art

[0002] With the rapid development of new energy technologies, battery systems are increasingly widely used in fields such as electric vehicles, energy storage systems, and renewable energy power generation. As a core component in the battery system, the power board circuit device is responsible for the charge and discharge control of the battery pack, and its performance directly affects the efficiency, stability, and safety of the entire system. Traditional control methods for power board circuit devices usually adopt fixed control strategies, such as constant voltage control or constant current control. Although they can meet the basic charge and discharge requirements, in complex working environments, it is often difficult to balance multiple performance indicators, such as power output, energy conversion efficiency, and temperature control.

[0003] However, traditional control methods usually optimize only for a single target, such as constant voltage control or constant current control, and it is difficult to balance multiple targets such as power output, efficiency, and temperature simultaneously. For example, in the constant voltage control mode, the system may ignore the energy conversion efficiency, resulting in increased energy loss; while in the constant current control mode, the system may ignore the temperature control, resulting in overheating of the power switching elements.

[0004] In addition, traditional control methods usually adopt fixed control parameters and it is difficult to dynamically adjust the control strategy according to real-time load changes and environmental conditions, resulting in a slow system response speed and inability to quickly adapt to load fluctuations or environmental changes.

[0005] Therefore, the present invention proposes a control method and a control system for a power board circuit device. Summary of the Invention

[0006] The purpose of the present invention is to provide a control method and a control system for a power board circuit device, which can quickly respond to load changes through real-time monitoring and dynamic adjustment, and avoid power fluctuations or system instability.

[0007] The purpose of the present invention is achieved by the following technical solutions:

[0008] On the one hand, the present invention provides a control method for a power board circuit device, the power board circuit device is applied to a battery system, the power board circuit device includes a plurality of power switching elements, and each power switching element controls the conduction of the charge and discharge path of a battery pack;

[0009] The control method includes the following steps:

[0010] Receiving an input signal, and calculating a target parameter according to the input signal, the target parameter including a target output power;

[0011] Adjust the switching frequency and duty cycle of the power switching element according to the target parameter;

[0012] Obtain the real-time parameters of the power board circuit device, where the real-time parameters include real-time output power;

[0013] Dynamically adjust the switching frequency and duty cycle of the power switching element according to the input signal, real-time parameters, and target parameter, so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

[0014] The beneficial effects of the above solution are: By receiving the input signal and calculating the target parameter, the system of the present invention can accurately control the switching frequency and duty cycle of the power switching element, ensuring that the deviation between the real-time output power and the target output power is less than or equal to the preset error threshold. In addition, it can dynamically adjust the working state of the power switching element according to real-time parameters (such as real-time output power), quickly respond to load changes, avoid power fluctuations, and ensure the stable operation of the system under different load conditions.

[0015] Further, calculating the target parameter according to the input signal includes:

[0016] Predict the target parameter based on the big data algorithm according to the historical input signal and the current input signal.

[0017] The beneficial effects of the above solution are: By using the big data algorithm, the present invention can predict the target parameter according to the historical input signal and the current input signal, adjust the working state of the power switching element in advance, and reduce the response delay. At the same time, using historical data for prediction can better adapt to complex working environments and improve the overall control accuracy and efficiency.

[0018] Further, adjusting the switching frequency and duty cycle of the power switching element according to the target parameter includes:

[0019] Based on the big data algorithm, adjust the switching frequency and duty cycle of the power switching element according to the current target parameter, historical target parameter, and historical output parameter.

[0020] The beneficial effects of the above solution are: Based on the big data algorithm, the present invention can optimize the switching frequency and duty cycle of the power switching element according to the target parameter and historical output data, ensuring efficient operation under different working conditions. In addition, through the analysis of historical data, it can avoid repeated errors and improve the stability and reliability of control.

[0021] Further, dynamically adjusting the switching frequency and duty cycle of the power switching element according to the input signal, real-time parameters, and target parameter includes:

[0022] Compare the real-time parameters with the target parameters, and dynamically adjust the switching frequency and duty cycle of the power switch element according to the comparison result.

[0023] The beneficial effects of the above solution are as follows: By comparing the real-time parameters with the target parameters, the present invention can adjust the operating state of the power switch element in real time to ensure that the output power is always close to the target value. In addition, the dynamic adjustment mechanism can effectively reduce power fluctuations and ensure the stability of the system output.

[0024] Further, the dynamically adjusting the switching frequency and duty cycle of the power switch element according to the comparison result includes:

[0025] Obtain the battery pack parameters;

[0026] Based on the energy-saving algorithm, dynamically adjust the switching frequency and duty cycle of the power switch element according to the comparison result, target parameters, and battery pack parameters.

[0027] The beneficial effects of the above solution are as follows: Through the energy-saving algorithm, the present invention can dynamically adjust the switching frequency and duty cycle of the power switch element according to the comparison result, target parameters, and battery pack parameters to reduce energy loss. In addition, the energy-saving algorithm can optimize the charging and discharging process of the battery pack, avoid overcharging and over-discharging, and extend the service life of the battery.

[0028] Further, the dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters includes:

[0029] When the real-time parameter is less than or equal to the preset threshold, update the target parameter according to the real-time parameter, preset threshold, and target parameter, and adjust the switching frequency and duty cycle of the power switch element according to the updated target parameter.

[0030] The beneficial effects of the above solution are as follows: The present invention can update the target parameter according to the real-time parameter and preset threshold, and adjust the operating state of the power switch element to ensure that the system always operates within a safe range. In addition, by dynamically updating the target parameter, the system can avoid abnormal conditions such as overvoltage, overcurrent, or overheating, and improve the safety of the system.

[0031] Further, the target parameter includes the target energy conversion efficiency, the real-time parameter includes the real-time energy conversion efficiency, and the preset threshold includes the preset efficiency threshold;

[0032] Further, the target parameter includes the target temperature of the power switch element, the real-time parameter includes the real-time temperature of the power switch element, and the preset threshold includes the preset element temperature threshold;

[0033] Further, the target parameter includes the system target temperature, the real-time parameter includes the real-time temperature of the power switch system, and the preset threshold includes the preset system temperature threshold.

[0034] The beneficial effects of the above solution are as follows: By simultaneously considering multiple target parameters such as energy conversion efficiency, the temperature of power switch components, and system temperature, the system can find the best balance among multiple targets and improve the overall performance. In addition, by monitoring the temperature parameters in real time, the system can prevent overheating and ensure the long-term stable operation of power switch components and the system.

[0035] Further, the input signal includes the input voltage;

[0036] The dynamic adjustment of the switching frequency and duty cycle of the power switch component according to the input signal, real-time parameter, and target parameter includes:

[0037] When the fluctuation amplitude of the input voltage is greater than or equal to the preset first fluctuation threshold, based on the voltage fluctuation compensation algorithm, adjust the switching frequency and duty cycle of the power switch component to make the difference between the real-time parameter and the target parameter less than or equal to the parameter error threshold.

[0038] The beneficial effects of the above solution are as follows: The present invention can adjust the working state of the power switch component through the voltage fluctuation compensation algorithm to ensure the stability of the output power. In addition, by compensating for voltage fluctuations, the system can still maintain a stable output under unstable input voltage conditions, improving the anti-interference ability of the system.

[0039] Further, the control method further includes:

[0040] Obtain the output current;

[0041] When the fluctuation amplitude of the output current is greater than or equal to the preset second fluctuation threshold, based on the current closed-loop control algorithm, adjust the switching frequency and duty cycle of the power switch component to make the difference between the real-time parameter and the target parameter less than or equal to the parameter error threshold.

[0042] The beneficial effects of the above solution are as follows: The present invention can adjust the working state of the power switch component through the current closed-loop control algorithm to ensure the stability of the output current. In addition, through closed-loop control, it can quickly respond to current fluctuations and avoid the influence of load changes on the system output.

[0043] On the other hand, the present invention provides a control system for a power board circuit device, which is applied to a battery system. The power board circuit device includes a plurality of power switch components, and each power switch component controls the conduction of the charge and discharge path of a battery pack;

[0044] The control system includes:

[0045] A target module for receiving an input signal and calculating target parameters according to the input signal, where the target parameters include a target output power;

[0046] A first adjustment module for adjusting the switching frequency and duty cycle of a power switch element according to the target parameters;

[0047] A real-time module for obtaining real-time parameters of a power board circuit device, where the real-time parameters include a real-time output power;

[0048] A second adjustment module for dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters, so that the difference between the real-time parameters and the target parameters is less than or equal to a parameter error threshold

[0049] The beneficial effect of the above solution is that by dividing the control system into a target module, a first adjustment module, a real-time module, and a second adjustment module, the system can achieve modular control, which is convenient for maintenance and upgrade.

[0050] Compared with the prior art, the beneficial effects of the present invention at least include:

[0051] By receiving the input signal and calculating the target parameters, the system can accurately control the switching frequency and duty cycle of the power switch element, ensuring that the deviation between the real-time output power and the target output power is less than or equal to a preset error threshold. At the same time, it can dynamically adjust the working state of the power switch element according to real-time parameters (such as real-time output power), can quickly respond to load changes, avoid power fluctuations, and ensure that the system can operate stably under different load conditions. Brief Description of the Drawings

[0052] Figure 1 is a schematic flowchart of a control method for a power board circuit device according to an embodiment of the present invention. Detailed Embodiments

[0053] Now, example embodiments will be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this invention will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art. Identical reference numerals in the figures denote identical or similar structures, and thus their repetitive description will be omitted.

[0054] The words expressing positions and directions described in the present invention are illustrative with reference to the drawings, but can be changed according to needs, and all changes made are included in the protection scope of the present invention.

[0055] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings. These are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0056] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "mounted", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific situations.

[0057] The control method of the present invention is applied to a power board circuit device, the power board circuit device is applied to a battery system, the power board circuit device includes a plurality of power switch elements, and each power switch element controls the conduction of the charge and discharge path of a battery pack.

[0058] In application, the power switch element is used to control the on / off of the current. In actual application, the power switch element includes at least one of MOSFET, IGBT or thyristor.

[0059] Reference Figure 1 , the control method of the power board circuit device of the present invention includes: step SS1 - step SS4. Further, the control method may further include step SS5.

[0060] Step SS1: Receive an input signal, and calculate a target parameter according to the input signal. The target parameter includes a target output power.

[0061] During application, the input signal includes an input voltage. Further, the input signal may also include a power demand. Preferably, the input signal includes input environmental parameters, input battery status, load demand, input system status, external control, input energy management, input time signal, input communication signal, input safety signal, etc. Among them, the environmental parameters include input temperature, input humidity, and input air pressure. The input battery status includes input state of charge (SOC) of the battery, input state of health (SOH) of the battery, input battery temperature, input voltage, and input current. The load demand includes load power demand, load type signal, and load change rate. The input system status includes input system efficiency, input system fault signal, and input system operation time.

[0062] During actual application, the target power to be output can be calculated based on the load demand and the input battery status. The target efficiency to be achieved can also be calculated based on the input system efficiency and historical data. The target temperature to be controlled can also be calculated based on the input environmental temperature and the input battery temperature.

[0063] In some embodiments, step SS1 includes: step SS11.

[0064] Step SS11: Based on a big data algorithm, predict the target parameter according to the historical input signal and the current input signal.

[0065] During application, continuously collect historical input signals, historical system operation data, and historical target parameters, including load demand, input environmental parameters, input battery status, and input system efficiency. Clean and normalize the collected data to remove noise and outliers and ensure data quality. Use the historical data to train a machine learning model, with the historical input signal as the model input and the historical target parameter (such as historical target output power) as the output. Finally, input the current input signal into the trained model to predict the current target parameter.

[0066] Step SS2: Adjust the switching frequency and duty cycle of the power switching element according to the target parameter.

[0067] Step SS2 includes: step SS21.

[0068] Step SS21: Based on a big data algorithm, adjust the switching frequency and duty cycle of the power switching element according to the current target parameter, historical target parameter, and historical output parameter.

[0069] During application, based on big data algorithms, the switching frequency and duty cycle of the power switching element are adjusted according to the current target parameters, historical target parameters, the switching frequency and duty cycle of the historical power switching element, and historical output parameters. Among them, the current target parameters include the target output power, target efficiency, and target temperature. The historical target parameters include the target output power, target efficiency, and target temperature over a past period of time. The switching frequency and duty cycle of the historical power switching element include the switching frequency and duty cycle data over a past period of time. The historical output parameters include the actual output power, actual efficiency, actual temperature, etc. over a past period of time.

[0070] During actual application, a machine learning model is trained using historical data. The inputs of the model are the current target parameters, historical target parameters, historical switching frequency and duty cycle, and historical output parameters, and the outputs are the optimal switching frequency and duty cycle of the power switching element. According to the switching frequency and duty cycle predicted by the model, the output signal of the PWM generation module is adjusted. For example, if the model predicts that under the conditions of a current target output power of 100W, a target efficiency of 90%, and a target temperature of 35°C, the optimal switching frequency is 50kHz and the duty cycle is 60%, the frequency of the PWM signal is adjusted to 50kHz and the duty cycle is adjusted to 60%.

[0071] Step SS3: Obtain the real-time parameters of the power board circuit device, and the real-time parameters include the real-time output power.

[0072] Step SS4: Dynamically adjust the switching frequency and duty cycle of the power switching element according to the input signal, real-time parameters, and target parameters, so that the difference between the real-time parameters and the target parameters is less than or equal to the parameter error threshold.

[0073] During application, Step SS4 includes: Step SS41 - Step SS43.

[0074] Step SS41: Compare the magnitudes of the real-time parameters and the target parameters, and dynamically adjust the switching frequency and duty cycle of the power switching element according to the comparison result.

[0075] During application, calculate the deviation between the real-time parameters and the target parameters, and adjust the duty cycle and frequency of the PWM signal according to the magnitude of the deviation and the battery pack parameters.

[0076] During actual application, Step SS41 includes: Step SS411 - Step SS412.

[0077] Step SS411: Obtain the battery pack parameters.

[0078] The parameters of the battery pack are collected in real time through the sensor module. The parameters of the battery pack include the state of charge (SOC) of the battery, state of health (SOH) of the battery, battery temperature, battery voltage, and battery current.

[0079] Step SS412: Based on the energy-saving algorithm, dynamically adjust the switching frequency and duty cycle of the power switching element according to the comparison result, target parameters, and battery pack parameters.

[0080] In application, an energy-saving algorithm based on PID control is adopted. According to the deviation between the real-time parameters and the target parameters, dynamically adjust the duty cycle and frequency of the PWM signal to minimize energy loss.

[0081] In actual application, adjust the duty cycle of the PWM signal according to the deviation magnitude. For example, if the deviation is positive (real-time power is lower than the target power), increase the duty cycle of the PWM signal to increase the output power; if the deviation is negative (real-time power is higher than the target power), decrease the duty cycle of the PWM signal to reduce the output power.

[0082] In addition, adjust the frequency of the PWM signal according to the battery pack parameters (such as battery SOC and temperature). For example, when the battery SOC is low (below the first SOC threshold), reduce the switching frequency to reduce energy loss; when the battery temperature is high (above the second SOC threshold), reduce the switching frequency to prevent overheating.

[0083] Step SS42: When the real-time parameter is less than or equal to the preset threshold, update the target parameter according to the real-time parameter, preset threshold, and target parameter, and adjust the switching frequency and duty cycle of the power switching element according to the updated target parameter.

[0084] In application, the update of the target parameter includes the following formula:

[0085] A = (b1·B + b2·C)

[0086] In the formula, A is the target parameter; B is the real-time parameter; C is the preset threshold; b1 is the weight of the real-time parameter; b2 is the parameter of the preset threshold, and b1 + b2 = 1.

[0087] In actual application, when the deviation between the target parameter and the real-time parameter is greater than the deviation between the target parameter and the preset threshold, b1 is greater than b2; when the deviation between the target parameter and the real-time parameter is less than the deviation between the target parameter and the preset threshold, b1 is less than b2; when the deviation between the target parameter and the real-time parameter is equal to the deviation between the target parameter and the preset threshold, b1 is equal to b2.

[0088] In some embodiments, the updated target parameter is half of the sum of the real-time parameter and the preset threshold.

[0089] In some other embodiments, the target parameter includes the target energy conversion efficiency, the real-time parameter includes the real-time energy conversion efficiency, and the preset threshold includes the preset efficiency threshold. Specifically, compare the real-time energy conversion efficiency with the preset efficiency threshold.

[0090] In some other embodiments, the target parameter includes the target temperature of the power switch element, the real-time parameter includes the real-time temperature of the power switch element, and the preset threshold includes the preset element temperature threshold.

[0091] In some other embodiments, the target parameter includes the target temperature of the system, the real-time parameter includes the real-time temperature of the system, and the preset threshold includes the preset system temperature threshold.

[0092] Step SS43: When the fluctuation amplitude of the input voltage is greater than or equal to the preset first fluctuation threshold, based on the voltage fluctuation compensation algorithm, adjust the switching frequency and duty cycle of the power switch element so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

[0093] In application, the core of the voltage fluctuation compensation algorithm is to compensate for the fluctuation of the input voltage by adjusting the duty cycle and frequency of the PWM signal to ensure the stability of the system output power. Specifically, according to the fluctuation amplitude of the input voltage and the target output power, calculate the compensation amount of the duty cycle and frequency of the PWM signal, and adjust the duty cycle and frequency of the PWM signal according to the compensation amount to ensure that the deviation between the system output power and the target power is less than or equal to the preset parameter error threshold.

[0094] In practical application, through the voltage fluctuation compensation algorithm, it is possible to maintain a stable output power even when the input voltage fluctuates greatly, improving the anti-interference ability of the system. Specifically, it can dynamically adjust the duty cycle and frequency of the PWM signal according to the fluctuation amplitude of the input voltage to ensure that the system can operate stably under different working conditions. For example: if the input voltage fluctuation causes the output power to decrease, increase the duty cycle of the PWM signal to increase the output power.

[0095] In some embodiments, the compensated duty cycle includes the following formula:

[0096] ΔD = Vin / Vref - 1

[0097] D = D·(1 + ΔD)

[0098] In the formula, ΔD is the compensation amount of the duty cycle; Vin is the actual value of the input voltage; Vref is the reference value of the input voltage; D is the duty cycle.

[0099] The compensated frequency includes the following formula:

[0100] Δf = k·(Vref / Vin - 1)

[0101] f = f·(1 + Δf)

[0102] In the formula, Δf is the compensation amount of the frequency; Vin is the actual value of the input voltage; Vref is the reference value of the input voltage; f is the frequency, and k is the amplitude of frequency adjustment.

[0103] Step SS5: Dynamically adjust the switching frequency and duty cycle of the power switching element according to the output signal, so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

[0104] Step SS51: Obtain the output current.

[0105] Step SS52: When the fluctuation amplitude of the output current is greater than or equal to the preset second fluctuation threshold, based on the current closed-loop control algorithm, adjust the switching frequency and duty cycle of the power switching element, so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

[0106] In application, calculate the adjustment amounts of the duty cycle and frequency of the PWM signal according to the fluctuation amplitude of the output current and the target output current, and adjust the duty cycle and frequency of the PWM signal according to the adjustment amounts to ensure that the deviation between the output current and the target current is less than or equal to the preset parameter error threshold.

[0107] In actual application, the adjustment amounts include the following formula:

[0108] ΔD1 = Kp·|Itarget - Iout| + Ki·∫|Itarget - Iout|dt + Kd·d(|Itarget - Iout|) / dt

[0109] Δf1 = k·|Itarget - Iout|

[0110] In the formula, K p is the proportional coefficient, used to adjust the influence of the current error; Ki is the integral coefficient, used to adjust the influence of the cumulative error; Kd is the differential coefficient, used to adjust the influence of the error change rate; k is the amplitude of the frequency adjustment; I out is the output current, It arge t is the target output current; ΔD1 is the adjustment amount of the duty cycle; Δf1 is the adjustment amount of the frequency.

[0111] The control system of the power board circuit device of the present invention includes: a target module, a first adjustment module, a real-time module, and a second adjustment module.

[0112] The target module is used to receive the input signal and calculate the target parameter according to the input signal, and the target parameter includes the target output power; the first adjustment module is used to adjust the switching frequency and duty cycle of the power switching element according to the target parameter; the real-time module is used to obtain the real-time parameter of the power board circuit device, and the real-time parameter includes the real-time output power; the second adjustment module is used to dynamically adjust the switching frequency and duty cycle of the power switching element according to the input signal, real-time parameter, and target parameter, so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

[0113] The implementation of the specific functions of the above functional modules is based on the specific steps of the control method of the above power board circuit device.

[0114] In summary, through real-time monitoring and dynamic adjustment, the power output can be precisely controlled to ensure the stable operation of the system under different load conditions; through big data algorithms, the target parameters can be predicted based on historical data and current status, and the control strategy can be adjusted in advance to improve the intelligence level of the system. By considering multiple objectives such as power output, efficiency, and temperature simultaneously, the best balance point can be found among multiple objectives to improve the overall performance and reliability; through energy-saving algorithms and temperature monitoring, energy loss can be reduced, the battery life can be extended, and abnormal conditions such as overheating can be prevented to improve the safety and energy-saving effect of the system; through voltage fluctuation compensation and current closed-loop control, a stable output can still be maintained under the condition of large fluctuations in input voltage or output current, and the anti-interference ability of the system can be improved.

[0115] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Without departing from the principle and purpose of the present invention, those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention, and all these changes should fall within the protection scope of the claims of the present invention.

[0116] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0117] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce a device for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0118] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one process Figure 1 or a plurality of processes and / or blocks Figure 1 or a plurality of blocks specified in the block.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, such that a series of operational steps are performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one process Figure 1 or a plurality of processes and / or blocks Figure 1 or a plurality of blocks specified in the block.

[0120] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit and scope of the present invention as protected by the claims. All of these are within the protection scope of the present invention.

Claims

1. A control method for a power board circuit device, characterized in that, The power board circuit device is applied to a battery system. The power board circuit device includes a plurality of power switch elements, and each power switch element controls the conduction of the charge and discharge path of a battery pack; The control method includes the following steps: Receiving an input signal, and calculating target parameters according to the input signal, where the target parameters include a target output power; Adjusting the switching frequency and duty cycle of the power switch element according to the target parameters; Obtaining real-time parameters of the power board circuit device, where the real-time parameters include a real-time output power; Dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters, so that the difference between the real-time parameters and the target parameters is less than or equal to a parameter error threshold.

2. The control method of the power board circuit device according to claim 1, wherein The calculating the target parameters according to the input signal includes: Predicting the target parameters based on a big data algorithm according to historical input signals and the current input signal.

3. The control method of the power board circuit device according to claim 1, wherein The adjusting the switching frequency and duty cycle of the power switch element according to the target parameters includes: Adjusting the switching frequency and duty cycle of the power switch element based on a big data algorithm according to the current target parameters, historical target parameters, and historical output parameters.

4. The control method of the power board circuit device according to claim 1, characterized in that, The dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters includes: Comparing the magnitudes of the real-time parameters and the target parameters, and dynamically adjusting the switching frequency and duty cycle of the power switch element according to the comparison result.

5. The control method according to claim 4, wherein The dynamically adjusting the switching frequency and duty cycle of the power switch element according to the comparison result includes: Obtaining battery pack parameters; Dynamically adjusting the switching frequency and duty cycle of the power switch element based on an energy-saving algorithm according to the comparison result, target parameters, and battery pack parameters.

6. The control method according to claim 1, characterized in that The dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters includes: When the real-time parameter is less than or equal to a preset threshold, updating the target parameter according to the real-time parameter, preset threshold, and target parameter, and adjusting the switching frequency and duty cycle of the power switch element according to the updated target parameter.

7. The control method according to claim 6, wherein The target parameters include a target energy conversion efficiency, the real-time parameters include a real-time energy conversion efficiency, and the preset threshold includes a preset efficiency threshold; And / or, the target parameters include a target temperature of the power switch element, the real-time parameters include a real-time temperature of the power switch element, and the preset threshold includes a preset element temperature threshold; And / or, the target parameters include a system target temperature, the real-time parameters include a real-time temperature of the power switch system, and the preset threshold includes a preset system temperature threshold.

8. The control method according to claim 1, wherein The input signal includes an input voltage; The dynamically adjusting the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters includes: When the fluctuation amplitude of the input voltage is greater than or equal to a preset first fluctuation threshold, adjusting the switching frequency and duty cycle of the power switch element based on a voltage fluctuation compensation algorithm, so that the difference between the real-time parameters and the target parameters is less than or equal to a parameter error threshold.

9. The control method according to claim 1, characterized in that The control method further includes: Obtaining an output current; When the fluctuation amplitude of the output current is greater than or equal to a preset second fluctuation threshold, based on the current closed-loop control algorithm, adjust the switching frequency and duty cycle of the power switch element so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

10. A control system for a power board circuit device, characterized in that, The power board circuit device is applied to a battery system. The power board circuit device includes a plurality of power switch elements, and each power switch element controls the conduction of the charge and discharge path of a battery pack. The control system includes: A target module, configured to receive an input signal and calculate a target parameter according to the input signal. The target parameter includes a target output power. A first adjustment module, configured to adjust the switching frequency and duty cycle of the power switch element according to the target parameter. A real-time module, configured to obtain real-time parameters of the power board circuit device. The real-time parameters include real-time output power. A second adjustment module, configured to dynamically adjust the switching frequency and duty cycle of the power switch element according to the input signal, real-time parameters, and target parameters so that the difference between the real-time parameter and the target parameter is less than or equal to the parameter error threshold.

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