A dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip

Abstract

The application discloses a kind of based on two-way DC-DC power management chip dynamic power consumption optimization control method, and the application relates to power consumption control technical field, solve the problem that power loss is susceptible to temperature and cannot be fully optimized control, the application is through the closed-loop control of " accurate modeling-dynamic optimization-adaptive regulation-gradient convergence", realizes the dynamic power consumption optimization of two-way DC-DC power supply under full working condition, effectively solve the defects of traditional control method in loss balance, parameter drift, dynamic response etc., provide efficient, reliable power management technical scheme for new energy automobile, energy storage system etc., when circuit is caused temperature to rise, device parameter drift due to long time operation, trigger duty cycle iterative adjustment mechanism.Experimental data show that the mechanism can control the loss increase in high temperature environment to within 5%, 15%-20% lower than traditional scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of power consumption control, and in particular to a dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip. Background Art

[0002] Bidirectional DC-DC power management chips are widely used in scenarios such as new energy vehicles, energy storage systems, and uninterruptible power supplies (UPS), and require efficient energy conversion under bidirectional power transmission (charging / discharging mode).

[0003] Dynamic losses in bidirectional DC-DC converters primarily stem from switching losses and conduction losses. Traditional fixed-duty-cycle control methods struggle to balance these two factors across a wide input-output voltage range and under dynamic load conditions. For example, fixed-frequency PWM control significantly increases the proportion of switching losses under light loads, while conduction losses due to on-resistance become the primary source of energy loss under heavy loads.

[0004] In addition, the temperature drift of device parameters (such as MOSFET on-resistance temperature drift and parasitic capacitance changes) further exacerbates the complexity of loss control. Traditional steady-state models are unable to track such changes in real time, resulting in reduced system efficiency or even overheating failure.

[0005] Traditional control methods have difficulty meeting soft switching conditions in real time (such as the mismatch between dead time and resonant parameters), resulting in soft switching failure or duty cycle loss, which weakens the loss optimization effect; at the same time, existing optimization algorithms (such as PID control) have problems such as response lag and easy falling into local optimality, and cannot achieve dynamic power consumption optimization at the microsecond level.

[0006] Existing bidirectional DC-DC power management technology has significant deficiencies in dynamic power consumption optimization, multi-mode adaptive control, and parameter drift compensation. There is an urgent need for a new control method that can integrate loss modeling, dynamic optimization, and real-time feedback to improve energy conversion efficiency and system reliability under all operating conditions. Summary of the Invention

[0007] In view of the shortcomings of the existing technology, the present invention provides a dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip, which solves the problem that power loss is easily affected by temperature and cannot be fully optimized and controlled.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip, comprising the following steps:

[0009] Collect the operating parameters and preset parameters associated with the power supply, and confirm the switching loss and conduction loss associated with the power supply to determine the total loss of the power supply circuit. The specific method is as follows:

[0010] The collected switching frequency is recorded as f1, the preset device parasitic capacitance is calibrated as R1, and the collected voltage and current are calibrated as V1 and I1 respectively, using: Kh=f1×(R1×V1 2 +0.16×V1×I1×t) to confirm the switching loss Kh, where t is the ratio of the switch rise time to the fall time;

[0011] Calibrate the preset device on-resistance as R2 and the determined duty cycle as D, using: Ch=I1 2 ×R2×D locks the conduction loss Ch, where the duty cycle is obtained in different ways in different circuits;

[0012] Based on the confirmed total loss of the power supply circuit, the output voltage and input current associated with the circuit are adjusted. Based on the specific adjustment process, the change process of the total loss data is confirmed, and the optimal duty cycle is locked therefrom. The specific method for locking the optimal duty cycle is as follows:

[0013] The duty cycle D associated with the total power circuit loss is confirmed, and based on a preset value Y1, the variation range of the duty cycle D is locked to [D-Y1, D+Y1], where Y1 is a preset variation step size.

[0014] The output voltage and input current associated with the circuit are changed in real time, and the changed duty cycle ZB is confirmed in real time according to the specific change process. i , where i represents different change processes, and the changed ZB i ∈[D-Y1, D+Y1];

[0015] According to the changed output voltage and input current, the same processing method as step 1 is used to record the total loss associated with the current change process, and select the minimum value from the recorded total losses, and set the duty cycle ZB associated with the minimum value to i Record it as the optimal duty cycle and execute it;

[0016] After the optimal duty cycle is set, the input voltage, output voltage, input current and output current associated with the circuit are collected in real time through the built-in ADC module. Based on the specific process of real-time collection, the circuit loss associated with the corresponding moment is generated in real time. Based on the change in the circuit loss value, the duty cycle control signal and control direction are determined.

[0017] The specific method for determining the duty cycle control signal is as follows:

[0018] Based on the collected input voltage and input current, the input power associated with the current power circuit is determined. Based on the collected output voltage and output current, the output power associated with the current power circuit is determined. Based on the determined input power and output power, the formula is: actual loss = input power - output power.

[0019] The actual loss confirmed at the current moment is recorded as the baseline loss, and the actual loss associated with the next moment is reconfirmed. If the actual loss at subsequent moments continues to increase based on the baseline loss, and the increase lasts for more than 10 seconds, it means that the power circuit loss is abnormal, and a duty cycle control signal is generated. The duty cycle is readjusted according to the duty cycle control signal. Otherwise, no duty cycle control signal is generated;

[0020] Among them, the specific method of determining the duty cycle control direction is:

[0021] Based on the different actual losses confirmed at different moments, the actual loss difference between adjacent moments is confirmed, where the difference value = the actual loss at the next moment - the actual loss at the previous moment. Based on the time relationship, the related groups of difference values ​​are sorted to confirm the difference sequence table;

[0022] Increase the duty cycle value by 0.01 per unit moment, and observe whether the difference values ​​generated by the subsequent five groups of unit moments in the difference sequence table gradually decrease. If so, the upward change direction is recorded as the duty cycle control direction. If not, the downward change direction is recorded as the duty cycle control direction.

[0023] Preferably, the preset parameters include device parasitic capacitance and device on-resistance, and the operating parameters include switching frequency, voltage, current and duty cycle.

[0024] Preferably, the duty cycle is obtained by:

[0025] If the converter used in the current circuit is a Buck converter (step-down type): its D = output voltage ÷ input current;

[0026] If the converter used is a Boost converter (step-up type): its D = 1-(input current ÷ output voltage);

[0027] If the converter used is a Buck-Boost converter: its D = -[(input voltage ÷ input current) × (1-D)], where the specific output voltage and input current can be directly determined in the circuit.

[0028] According to the determined regulation signal and regulation direction about the duty cycle, the duty cycle is iteratively adjusted until the adjusted comprehensive feature is lower than the convergence threshold, the final duty cycle is confirmed and executed, and the specific mode is as follows:

[0029] Q1, record the current associated duty cycle as D old , based on the input power and output power associated with the current time, confirm the current duty cycle D old associated loss Ps;

[0030] Q2, based on the confirmed regulation direction and the set small disturbance, the value is 0.01, confirm the loss Pn associated with the duty cycle after the small disturbance regulation is applied;

[0031] Q3, according to the loss Ps associated with D old and the associated loss Pn, lock the gradient change value TD, TD=(Pn-Ps)÷0.01;

[0032] Q4, according to the determined gradient change value, lock the latest duty cycle: D new =D old -α×TD confirm the current associated latest duty cycle D new , and 0.05≤D new ≤0.95, wherein alpha is a preset learning rate;

[0033] Q5, the confirmed latest duty cycle is recorded as D old , and Q1-Q4 is repeatedly executed until the determined |TD|<Y2 is stopped, and the associated duty cycle in the stop process is executed as the final duty cycle, and the associated loss in the circuit is effectively controlled and optimized, wherein Y2 is a preset convergence threshold.

[0034] The application provides a dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip.

[0035] The application locks the optimal duty cycle based on the minimum loss by traversing multiple duty cycle samples in the dynamic adjustment process of output voltage and input current. This method breaks through the limitations of traditional steady-state formula and can realize loss minimization in a wide load range (such as 0.1-1 times rated current).

[0036] When the circuit temperature rises due to long-time operation and device parameter drift (such as increased MOSFET on-resistance), the duty cycle iterative adjustment mechanism is triggered. Experimental data shows that this mechanism can control the loss increase in high temperature environment within 5%, which is 15%-20% lower than the traditional scheme.

[0037] Through the closed-loop control of "precise modeling-dynamic optimization-adaptive regulation-gradient convergence", dynamic power consumption optimization of the bidirectional DC-DC power supply under all working conditions is achieved, effectively solving the defects of traditional control methods in loss balance, parameter drift, dynamic response, etc., and providing efficient and reliable power management technology solutions for new energy vehicles, energy storage systems and other fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0040] See also Figure 1 The present application provides a dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip. The dynamic losses associated with the bidirectional DC-DC power management chip mainly come from switching losses, conduction losses, control circuit losses, and dynamic response losses. Among them, the control circuit loss and dynamic response loss are very small, and the specific losses that seriously affect them are switching losses and conduction losses.

[0041] This application is based on a bidirectional DC-DC power management chip, dynamically optimizes the duty cycle, and combines a multi-mode adaptive control strategy to dynamically adjust control parameters by real-time monitoring of input and output voltages, currents, and load conditions to achieve efficient energy conversion and power consumption optimization under all operating conditions. Its specific control system mainly includes a converter main circuit, a sensor module, a control chip (such as a DSP or FPGA), a drive circuit, and an auxiliary power supply. The sensor module collects input voltage, output voltage, load current, and chip temperature in real time.

[0042] The optimization control method specifically includes the following steps:

[0043] Step 1: Confirm the total circuit loss: Collect the operating parameters and preset parameters associated with the power supply, and confirm the switching loss and conduction loss associated with the power supply to confirm the total loss of the power supply circuit. Specifically, the preset parameters include device parasitic capacitance and device on-resistance. These values ​​are preset in advance by the relevant operator based on the operating devices in the circuit. Its operating parameters include switching frequency, voltage, current, and duty cycle. The duty cycle is calculated differently when different converters are used in the circuit.

[0044] The specific method for confirming the total loss of the power supply circuit is as follows:

[0045] The collected switching frequency is recorded as f1, the preset device parasitic capacitance is calibrated as R1, and the collected voltage and current are calibrated as V1 and I1 respectively, using: Kh=f1×(R1×V1 2 +0.16×V1×I1×t) to confirm the switching loss Kh, where t is the ratio of the switch rise time to the fall time;

[0046] Calibrate the preset device on-resistance as R2 and the determined duty cycle as D, using: Ch=I1 2 ×R2×D locks the conduction loss Ch, where the duty cycle is obtained in different ways in different circuits. The specific method of obtaining it is preset in advance by relevant personnel. If the converter used in the current circuit is a Buck converter (step-down type): its D = output voltage ÷ input current; if the converter used is a Boost converter (step-up type): its D = 1-(input current ÷ output voltage); if the converter used is a Buck-Boost converter: its D = -[(input voltage ÷ input current) × (1-D)], where the specific output voltage and input current can be directly determined in the circuit;

[0047] Use: total loss = Kh + Ch to lock the total loss of this power circuit in the current operating state;

[0048] Step 2: Based on the determined total loss of the power supply circuit, the output voltage and input current associated with the circuit are adjusted. Based on the specific adjustment process, the change process of the total loss data is determined, and the optimal duty cycle is locked therefrom. Specifically, the corresponding duty cycle is associated with the output voltage and input current in the circuit. Therefore, during the adjustment process of the output voltage and input current, the internally associated voltage and current values ​​will also change accordingly, and the resulting total loss value will also change. Therefore, the optimal duty cycle can be locked from the corresponding change process.

[0049] The specific method of locking the optimal duty cycle is as follows:

[0050] Confirm the duty cycle D associated with the total power circuit loss, and lock the change range of this duty cycle D [D-Y1, D+Y1] based on the preset value Y1, where Y1 is the preset change step size, generally 0.05, which is prepared in advance by the operator;

[0051] The output voltage and input current associated with the circuit are changed in real time, and the changed duty cycle ZB is confirmed in real time according to the specific change process. i, where i represents different change processes, and the changed ZB i ∈[D-Y1, D+Y1];

[0052] According to the changed output voltage and input current, the same processing method as step 1 is used to record the total loss associated with the current change process, and select the minimum value from the recorded total losses, and set the duty cycle ZB associated with the minimum value to i Recorded as the optimal duty cycle, and executed. Specifically, if there are corresponding operating parameters and preset parameters in the current circuit, the loss associated with the circuit in the current state and the corresponding duty cycle can be adjusted. Then, the numerical parameters associated with the duty cycle are gradually readjusted. According to the specific adjustment process, the optimal duty cycle can be locked from the current circuit, so that the current operating state reaches the state with the lowest loss. In the subsequent operating process, the longer the operating time, the greater the temperature impact. The duty cycle is adjusted to further achieve the overall effect of loss optimization control.

[0053] Step 3. After the optimal duty cycle is set, the input voltage, output voltage, input current and output current associated with the circuit are collected in real time through the built-in ADC module, and the circuit loss associated with the corresponding moment is generated in real time according to the specific process of real-time collection. The duty cycle control signal and control direction are determined according to the change of the circuit loss value. Specifically, as the circuit runs for a long time, a large amount of high temperature will be generated inside the circuit, and the high temperature will affect the operating state of the related components, which will cause the loss to increase again. In order to readjust such abnormal loss, the duty cycle needs to be readjusted to ensure the optimization process of the duty cycle control and make the corresponding duty cycle in the optimal duty cycle state;

[0054] The way to determine the duty cycle control signal is:

[0055] Based on the collected input voltage and input current, the input power associated with the current power circuit is determined. Based on the collected output voltage and output current, the output power associated with the current power circuit is determined. Based on the determined input power and output power, the formula is: actual loss = input power - output power.

[0056] The actual loss confirmed at the current moment is recorded as the baseline loss, and the actual loss associated with the next moment is reconfirmed. If the actual loss at subsequent moments continues to increase based on the baseline loss, and the increase lasts for more than 10 seconds, it means that the power circuit loss is abnormal, and a duty cycle control signal is generated. The duty cycle is readjusted according to the duty cycle control signal. Otherwise, no duty cycle control signal is generated;

[0057] The way to determine the duty cycle control direction is:

[0058] Based on the different actual losses confirmed at different moments, the actual loss difference between adjacent moments is confirmed, where the difference value = the actual loss at the next moment - the actual loss at the previous moment. Based on the time relationship, the related groups of difference values ​​are sorted to confirm the difference sequence table;

[0059] Increase the duty cycle value by 0.01 per unit moment, and observe whether the difference values ​​generated by the next five groups of unit moments in the difference sequence table gradually decrease. If so, the upward change direction is recorded as the duty cycle control direction; if not, the downward change direction is recorded as the duty cycle control direction;

[0060] Specifically, in the actual control processing process, there are only two control directions, either increasing or decreasing. Then, one of the two control directions can reduce the corresponding loss characteristics. Then, based on the change in loss characteristics brought about by the corresponding control process, the duty cycle control direction is determined and executed to achieve the optimal control processing effect.

[0061] Step 4: Based on the determined control signal and control direction of the duty cycle, iteratively adjust the duty cycle until the adjusted comprehensive characteristics are lower than the convergence threshold, and then confirm the final duty cycle and execute it. The specific method for confirming the final duty cycle is:

[0062] Q1. Record the current associated duty cycle as D old (That is, the duty cycle finally determined in step 3, which needs to be corrected later) Based on the input power and output power associated with the current moment, the current duty cycle D is determined. old The associated loss Ps;

[0063] Q2. Based on the confirmed control direction and the set small disturbance (0.01), if the direction is upward, it will continue to increase by 0.01; if the direction is downward, it will continue to decrease by 0.01 to confirm the loss Pn associated with the duty cycle after applying the small disturbance control;

[0064] Q3. According to D old The associated loss Ps and the associated loss Pn lock the gradient change value TD, where TD= (Pn-Ps) ÷ 0.01;

[0065] Q4. Lock the latest duty cycle based on the determined gradient change value: D new =D old -α×TD confirms the latest duty cycle D currently associated new , and 0.05≤D new≤0.95, if the calculated D new When it exceeds 0.95 or is lower than 0.05, then the D new Then take 0.95, if D new Below 0.05, its D new Then take 0.05, where α is the preset learning rate, which is determined by the operator in advance based on experience, and α is generally taken as 0.05;

[0066] Q5. Re-record the latest confirmed duty cycle as D old , and repeat Q1-Q4 until the determined |TD| is less than Y2, and the duty cycle associated with the stop process is executed, which is used as the final duty cycle, and is executed to effectively control and optimize the associated losses in the circuit, where Y2 is a preset convergence threshold, which is determined in advance by the operator based on experience, and Y2 generally takes a value of 0.001.

[0067] Specifically, a detailed example of calculating the optimal duty cycle based on the gradient descent method

[0068] Example background and parameter setting

[0069] Suppose we apply the gradient descent method to calculate the optimal duty cycle in a bidirectional DC-DC onboard charging system for an electric vehicle. In charging mode, the system converts 400V DC input from a charging station to 300V to charge the onboard battery, with a rated load current of 20A. The bidirectional DC-DC converter uses a synchronous buck topology, and the power device is a silicon carbide MOSFET.

[0070] 2. Detailed explanation of specific implementation steps

[0071] 1. Initialization

[0072] When the system starts or the load changes significantly, the initial duty cycle D0 = 0.75 and the learning rate α = 0.05 are first set; the control chip will generate a PWM signal to drive the MOSFET based on this initial duty cycle.

[0073] 2. Sampling and calculation loss

[0074] The control chip collects input voltage, output voltage, input current, and output current in real time through the built-in ADC module. Under the duty cycle D0=0.75, it is assumed that the actual data collected is:

[0075] Input power = 8200W;

[0076] Output power = 6000W;

[0077] Current loss = 8200-6000 = 2200W;

[0078] 3. Disturbance duty cycle

[0079] On the basis of the current duty cycle D0=0.75, a disturbance amount (0.01) is applied to the duty cycle to obtain a new duty cycle 0.76; the control chip updates the duty cycle of the PWM signal so that the MOSFET operates according to the new duty cycle.

[0080] 4. Calculate gradient

[0081] Under the duty cycle = 0.76, the input and output voltages and currents are collected again through the ADC module, and the new loss is calculated:

[0082] Input power = 8150W;

[0083] Output power = 6000W;

[0084] New loss = 2150W;

[0085] According to the gradient calculation formula, the associated TD = -5000 is determined;

[0086] 5. Update duty cycle

[0087] According to the preset learning rate and the associated TD, the new duty cycle is confirmed, which is greater than 0.95, so D new = 0.95.

[0088] 6. Repeat iteration

[0089] The control chip takes the updated duty cycle as the D old of the next iteration, and repeats the steps; as the iteration proceeds, the loss gradually decreases and the duty cycle continuously approaches the optimal value; assuming that after multiple iterations, the absolute value of the calculated gradient is less than 0.001, at this time the algorithm is considered to have converged, and the current duty cycle is the optimal duty cycle.

[0090] III. Example results and analysis

[0091] Through the iteration calculation of the above gradient descent method, the optimal duty cycle obtained finally may be between 0.85-0.92 (the specific value depends on the actual loss change); compared with the initial duty cycle 0.75, the total loss of the system under the optimal duty cycle is significantly reduced, and the energy conversion efficiency is improved; in practical application, the influence of temperature on MOSFET parameters also needs to be considered, and the loss model is monitored and corrected in real time through a temperature sensor to ensure that the gradient descent method can always accurately calculate the optimal duty cycle.

[0092] The above example fully demonstrates the whole process of calculating the optimal duty cycle by the gradient descent method.

[0093] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0094] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A dynamic power consumption optimization control method based on a bidirectional DC-DC power management chip, characterized in that: The following steps are involved: Step 1: Collect operating parameters and preset parameters associated with the power supply, and confirm the switching loss and conduction loss associated with the power supply to determine the total loss of the power supply circuit; Step 2: Based on the determined total loss of the power circuit, adjust the output voltage and input current associated with the circuit. Based on the specific adjustment process, determine the change process of the total loss data and determine the optimal duty cycle. Step 3: After the optimal duty cycle is set, the input voltage, output voltage, input current, and output current associated with the circuit are collected in real time through the built-in ADC module. Based on the specific progress of the real-time collection, the circuit loss associated with the corresponding moment is generated in real time. Based on the change in the circuit loss value, the duty cycle control signal and control direction are determined; Step 4: Based on the determined control signal and control direction of the duty cycle, iteratively adjust the duty cycle until the adjusted comprehensive characteristics are lower than the convergence threshold, confirm the final duty cycle and execute it. The specific method is as follows: Q1. Record the current associated duty cycle as D old , based on the input power and output power associated with the current moment, determine the current duty cycle D old The associated loss Ps; Q2, based on the confirmed control direction and the set small disturbance, takes a value of 0.01 and confirms the loss Pn associated with the duty cycle after applying the small disturbance control; Q3. According to D old The associated loss Ps and the associated loss Pn lock the gradient change value TD, where TD= (Pn-Ps) ÷ 0.01; Q4. Lock the latest duty cycle based on the determined gradient change value: D new =D old -α×TD confirms the latest duty cycle D currently associated new , and 0.05≤D new ≤0.95, where α is the preset learning rate; Q5. Re-record the latest confirmed duty cycle as D old , and repeatedly execute Q1-Q4 until the determined |TD|<Y2, and stop, and execute the duty cycle associated with the stop process, which is used as the final duty cycle, and execute, effectively controlling and optimizing the associated losses in the circuit, where Y2 is the preset convergence threshold.

2. The method for dynamic power consumption optimization control based on a bidirectional DC-DC power management chip according to claim 1, characterized in that: The preset parameters include device parasitic capacitance and device on-resistance, and the operating parameters include switching frequency, voltage, current and duty cycle.

3. The method for dynamic power consumption optimization control based on a bidirectional DC-DC power management chip according to claim 1, characterized in that: The specific method for confirming the total loss of the power circuit is: The collected switching frequency is recorded as f1, the preset device parasitic capacitance is calibrated as R1, and the collected voltage and current are calibrated as V1 and I1 respectively, using: Kh=f1×(R1×V1 2 +0.16×V1×I1×t) to confirm the switching loss Kh, where t is the ratio of the switch rise time to the fall time; Calibrate the preset device on-resistance as R2 and the determined duty cycle as D, using: Ch=I1 2 ×R2×D locks the conduction loss Ch, where the duty cycle is calculated differently in different circuits.

4. The method for dynamic power consumption optimization control based on a bidirectional DC-DC power management chip according to claim 1, characterized in that: The specific method of locking the optimal duty cycle is as follows: The duty cycle D associated with the total power circuit loss is confirmed, and based on a preset value Y1, the variation range of the duty cycle D is locked to [D-Y1, D+Y1], where Y1 is a preset variation step size. The output voltage and input current associated with the circuit are changed in real time, and the changed duty cycle ZB is confirmed in real time according to the specific change process. i , where i represents different change processes, and the changed ZB i ∈[D-Y1, D+Y1]; According to the changed output voltage and input current, the same processing method as step 1 is used to record the total loss associated with the current change process, and select the minimum value from the recorded total losses, and set the duty cycle ZB associated with the minimum value to i Record it as the optimal duty cycle and execute it.

5. The method for dynamic power consumption optimization control based on a bidirectional DC-DC power management chip according to claim 1, characterized in that: The specific method of determining the duty cycle control signal is as follows: Based on the collected input voltage and input current, the input power associated with the current power circuit is determined. Based on the collected output voltage and output current, the output power associated with the current power circuit is determined. Based on the determined input power and output power, the formula is: actual loss = input power - output power. The actual loss confirmed at the current moment is recorded as the benchmark loss, and the actual loss associated with the next moment is reconfirmed. If the actual loss at subsequent moments continues to increase based on the benchmark loss, and the increase lasts for more than 10 seconds, it means that the power circuit loss is abnormal, and a duty cycle control signal is generated. The duty cycle is readjusted according to the duty cycle control signal. Otherwise, no duty cycle control signal is generated.

6. The method for dynamic power consumption optimization control based on a bidirectional DC-DC power management chip according to claim 5, characterized in that: The specific method for determining the duty cycle control direction is: Based on the different actual losses confirmed at different moments, the actual loss difference between adjacent moments is confirmed, where the difference value = the actual loss at the next moment - the actual loss at the previous moment. Based on the time relationship, the related groups of difference values ​​are sorted to confirm the difference sequence table; Increase the duty cycle value by 0.01 per unit moment, and observe whether the difference values ​​generated by the subsequent five groups of unit moments in the difference sequence table gradually decrease. If so, the upward change direction is recorded as the duty cycle control direction. If not, the downward change direction is recorded as the duty cycle control direction.

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