System efficiency optimization method, device, equipment and storage medium

Abstract

The application relates to the technical field of electric vehicles, and discloses a system efficiency optimization method, device, equipment and storage medium, which are applied to a power supply and consumption system including a direct-current power supply side network, and the method comprises the following steps: configuring different efficiency optimization strategies for the power supply and consumption system under a current working condition; acquiring system efficiencies of the power supply and consumption system under each efficiency optimization strategy, wherein the system efficiency includes a direct-current power supply efficiency determined by the direct-current power supply side network; determining a target optimization strategy with the highest system efficiency from each efficiency optimization strategy, and taking the target optimization strategy as an optimal strategy under the current working condition. According to the application, the optimal strategy with the highest system efficiency is determined from each efficiency optimization strategy, the system efficiency used by the optimal strategy includes the direct-current power supply efficiency determined by the direct-current power supply side network, the determination precision of the optimal strategy is improved, and the cruising range of the whole vehicle can be effectively improved.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle technology, and in particular to a system efficiency optimization method, apparatus, device, and storage medium. Background Technology

[0002] Currently, in order to improve the driving range of electric vehicles, given that the structure and electrical parameters of each component of the electric drive system of an electric vehicle are already determined, a test bench is built to optimize the motor control strategy, thereby improving system efficiency and thus increasing the driving range of the entire vehicle.

[0003] However, the optimal strategy determined by the above method does not take into account the DC power supply. The DC ripple current generated by the DC power supply will cause losses on the DC side. These DC side losses will affect the system efficiency, making the system efficiency under the optimal strategy not the strategy that maximizes system efficiency. This leads to errors in the determination of the optimal strategy and fails to effectively improve the vehicle's driving range.

[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this invention is to provide a system efficiency optimization method, apparatus, device, and storage medium, aiming to solve the technical problem that the prior art does not consider DC power supply, resulting in errors in the determination of the optimal strategy and failing to effectively improve the driving range of the whole vehicle.

[0006] To achieve the above objectives, the present invention provides a system efficiency optimization method, which is applied to a power supply and consumption system including a DC power supply side network, the method comprising:

[0007] Configure different efficiency optimization strategies for the power supply and consumption system under the current operating conditions;

[0008] Obtain the system efficiency of the power supply system under various efficiency optimization strategies, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network;

[0009] The objective optimization strategy that maximizes the efficiency of the system is determined from the various efficiency optimization strategies, and this objective optimization strategy is taken as the optimal strategy under the current operating conditions.

[0010] Optionally, the step of configuring different efficiency optimization strategies for the power supply and consumption system under the current operating conditions includes:

[0011] Configure the switching frequency, modulation method, and steady-state modulation coefficient limit for the power supply system under the current operating conditions;

[0012] The combination of the switching frequency, the modulation method, and the steady-state modulation coefficient limit is used as an efficiency optimization strategy.

[0013] Different efficiency optimization strategies can be configured for the power supply system by changing the switching frequency, the modulation method, and the steady-state modulation coefficient limit.

[0014] Optionally, the power supply system further includes: an electrical control module and a motor module;

[0015] The step of obtaining the system efficiency of the power supply and utilization system under various efficiency optimization strategies includes:

[0016] The DC power efficiency of the DC-side network, the electrical control efficiency of the electrical control module, and the motor efficiency of the motor module are obtained under various efficiency optimization strategies for the power supply system.

[0017] The system efficiency of the power supply system is determined based on the DC power supply efficiency, the electronic control efficiency, and the motor efficiency.

[0018] Optionally, the step of determining the objective optimization strategy that maximizes the efficiency of the system from the various efficiency optimization strategies includes:

[0019] Determine the target switching frequency, target modulation scheme, and target steady-state modulation coefficient limit that maximize the efficiency of the system from multiple switching frequencies, multiple modulation schemes, and multiple steady-state modulation coefficient limits;

[0020] The combination of the target switching frequency, the target modulation scheme, and the target steady-state modulation coefficient limit is used as the target optimization strategy.

[0021] Optionally, the step of obtaining the system efficiency of the power supply and utilization system under various efficiency optimization strategies includes:

[0022] Select several initial efficiency optimization strategies from among the various efficiency optimization strategies;

[0023] Obtain the initial system efficiency of the power supply and utilization system under each initial efficiency optimization strategy;

[0024] The first preset optimization algorithm determines the next efficiency optimization strategy based on each initial system efficiency, and returns to the step of obtaining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, until the target optimization strategy that maximizes the system efficiency is determined.

[0025] Optionally, after the step of determining the target optimization strategy that maximizes the system efficiency from the various efficiency optimization strategies and using the target optimization strategy as the optimal strategy under the current operating condition, the method further includes:

[0026] Switch the current operating condition to the next operating condition, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy under each operating condition is determined.

[0027] Optionally, the method further includes:

[0028] Switch the current operating condition to any one of the multiple preset typical operating conditions, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, and determine the optimal strategy for any one typical operating condition.

[0029] The next typical operating condition is determined by the second preset optimization algorithm based on the optimal strategy of any typical operating condition, and the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition is returned until the optimal strategy of the multiple preset typical operating conditions is determined.

[0030] Furthermore, to achieve the above objectives, the present invention also proposes a system efficiency optimization device, the device comprising:

[0031] Configure different efficiency optimization strategies for the power supply and distribution system under the current operating conditions;

[0032] Obtain the system efficiency of the power supply system under various efficiency optimization strategies, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network;

[0033] The objective optimization strategy that maximizes the efficiency of the system is determined from the various efficiency optimization strategies, and this objective optimization strategy is taken as the optimal strategy under the current operating conditions.

[0034] Furthermore, to achieve the above objectives, the present invention also proposes a system efficiency optimization device, the device comprising: a memory, a processor, and a system efficiency optimization program stored in the memory and executable on the processor, the system efficiency optimization program being configured to implement the steps of the system efficiency optimization method as described above.

[0035] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a system efficiency optimization program, which, when executed by a processor, implements the steps of the system efficiency optimization method described above.

[0036] This invention provides a system efficiency optimization method, apparatus, device, and storage medium. The method is applied to a power supply system including a DC power supply side network. It involves configuring different efficiency optimization strategies for the power supply system under current operating conditions; obtaining the system efficiency of the power supply system under each efficiency optimization strategy, whereby the system efficiency includes the DC power supply efficiency determined by the DC power supply side network; determining the target optimization strategy that maximizes system efficiency from among the various efficiency optimization strategies, and using the target optimization strategy as the optimal strategy under the current operating conditions. This invention, by determining the optimal strategy that maximizes system efficiency from among various efficiency optimization strategies, ensures that the system efficiency used in the optimal strategy includes the DC power supply efficiency determined by the DC power supply side network, avoiding the impact of DC ripple current loss on system efficiency, improving the accuracy of optimal strategy determination, and achieving the highest system efficiency under the determined optimal strategy, effectively improving the vehicle's driving range. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the system efficiency optimization device structure for the hardware operating environment involved in the embodiments of the present invention;

[0038] Figure 2 This is a flowchart illustrating the first embodiment of the system efficiency optimization method of the present invention;

[0039] Figure 3 This is a circuit diagram of the DC power supply side network in the first embodiment of the system efficiency optimization method of the present invention;

[0040] Figure 4 This is a flowchart illustrating the second embodiment of the system efficiency optimization method of the present invention;

[0041] Figure 5 This is a flowchart illustrating the third embodiment of the system efficiency optimization method of the present invention;

[0042] Figure 6 This is a structural block diagram of the first embodiment of the system efficiency optimization device of the present invention.

[0043] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0044] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0045] Reference Figure 1 , Figure 1 This is a schematic diagram of the system efficiency optimization device structure for the hardware operating environment involved in the embodiments of the present invention.

[0046] like Figure 1As shown, the system efficiency optimization device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0047] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the system efficiency optimization device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0048] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a system efficiency optimization program.

[0049] exist Figure 1 In the system efficiency optimization device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the system efficiency optimization device of the present invention can be set in the system efficiency optimization device, and the system efficiency optimization device calls the system efficiency optimization program stored in the memory 1005 through the processor 1001 and executes the system efficiency optimization method provided in the embodiment of the present invention.

[0050] This invention provides a system efficiency optimization method, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the system efficiency optimization method of the present invention.

[0051] In this embodiment, the system efficiency optimization method is applied to a power supply and consumption system including a DC power supply side network, and the method includes the following steps:

[0052] Step S10: Configure different efficiency optimization strategies for the power supply and consumption system under the current operating conditions.

[0053] It should be noted that the executing entity of the method in this embodiment can be a computing service device with system efficiency optimization, network communication, and program execution functions, such as a mobile phone, tablet computer, or personal computer, or other electronic devices that perform the same or similar functions. The following description uses the aforementioned system efficiency optimization device (hereinafter referred to as the optimization device) to illustrate this embodiment and the subsequent embodiments.

[0054] It is understood that the aforementioned power supply system can be a drive system that includes a DC power supply side network. This DC power supply side network can be a power supply side network that includes a DC power source. The power supply system can be constructed using a circuit simulation model of the DC side network (including the DC power source and DC connection lines), an electronic control (i.e., motor controller) simulation model, and a motor simulation model. The electronic control simulation model can be a simulation model that includes motor control software and corresponding power devices.

[0055] In addition to using DC-side network circuit simulation models, electronic control simulation models, and motor simulation models to construct the power supply system, a test bench with the same DC-side network, electronic control, and controller as the complete vehicle can be built. This test bench serves as the power supply system, reducing the time cost of constructing the power supply system using simulation models. In this approach, the power supply source of the DC-side network, the connection lines between the power source and the electronic control, and the connection lines between the electronic control and the motor are all consistent with the actual drive system of the vehicle. Furthermore, the cooling methods and conditions for each part are also consistent with the actual drive system of the vehicle, ensuring that the constructed power supply system accurately represents the actual drive system of the vehicle.

[0056] It should be noted that the above-mentioned current operating condition can be any operating condition selected from the pre-set test operating conditions. This operating condition can be a combination of the battery's SOC or the power supply's no-load output voltage, the motor's speed, and its output torque.

[0057] It is understandable that the above efficiency optimization strategies can be combinations of different switching frequencies, different modulation methods, and different steady-state modulation coefficient limits of power devices in the power supply and consumption system.

[0058] It should be noted that the switching frequency mentioned above can be the frequency of the drive motor controller, such as 5kHz to 20kHz.

[0059] It is understandable that the above modulation method can be a driving electronic control method, such as SVPWM, DPWM0 to DPWM2, etc.

[0060] It should be noted that the aforementioned steady-state modulation coefficient limit can be a parameter affecting the utilization rate of the DC-side bus voltage. The higher the steady-state modulation coefficient limit, the greater the utilization rate of the DC-side bus voltage. For example, the upper limit modulation coefficient of the SVPWM linear modulation zone is defined as 1.0, and the modulation coefficient when the driving waveform of each phase of the electronic control is a square wave with the same frequency as the electrical cycle is defined as 1.1. Different steady-state modulation coefficient limits determine the maximum value of the motor line voltage. Because when the motor is working in the field weakening zone, the larger the line voltage, the smaller the field weakening current and line current, and the higher the efficiency of the motor and electronic control, so increasing the steady-state modulation coefficient limit can improve the efficiency of the motor and electronic control in the field weakening zone. However, in the field weakening zone, especially in the over-modulation zone (the area where the aforementioned upper limit modulation coefficient is greater than 1), the higher the steady-state modulation coefficient limit is set, the greater the voltage and current fluctuations on the DC bus, and the lower the efficiency of the DC-side power supply network. Therefore, it is necessary to set reasonable steady-state modulation coefficient limits according to different operating conditions so as to maximize the efficiency of the entire system consisting of the DC power supply side, the motor, and the electronic control.

[0061] In practical implementation, the aforementioned optimization equipment can configure different switching frequencies, different modulation methods, and different steady-state modulation coefficient limits for power devices in the power supply system under the current operating conditions. These different switching frequencies, different modulation methods, and different steady-state modulation coefficient limits can constitute different efficiency optimization strategies.

[0062] Further, in this embodiment, step S10 includes:

[0063] Step S101: Configure the switching frequency, modulation method, and steady-state modulation coefficient limit for the power supply system under the current operating conditions.

[0064] In practice, the aforementioned optimization equipment can configure any set switching frequency, modulation method, and steady-state modulation coefficient limit for power devices in the power supply system under the current operating conditions.

[0065] It should be understood that, under the same modulation method, different switching frequencies result in different switching losses of power devices, thus leading to different control losses. Specifically, different switching frequencies result in different PWM current ripple frequencies and amplitudes input to the motor, causing differences in the motor's iron losses and total losses. Furthermore, under the same modulation method and switching frequency, when the motor drive system operates in the field weakening region with different steady-state modulation coefficients, on the one hand, the field weakening depth of the motor differs, resulting in different armature currents required to output the same torque; on the other hand, the equivalent number of switching cycles and the effective value of the output current of the power devices differ, thus resulting in different switching losses, conduction losses, and total losses of the power devices. Since the aforementioned switching frequency, modulation method, and steady-state modulation coefficient limits will affect the losses of the motor and electronic control, the combination of the aforementioned switching frequency, modulation method, and steady-state modulation coefficient limits can be used as an efficiency optimization strategy. By changing the efficiency optimization strategy, the optimal strategy that maximizes the system efficiency of the power supply and consumption system can be found, that is, the optimal combination of switching frequency, modulation method, and steady-state modulation coefficient limits.

[0066] Step S102: Use the combination of the switching frequency, the modulation method and the steady-state modulation coefficient limit as an efficiency optimization strategy.

[0067] In a practical implementation, the aforementioned optimization device can use the combination of the set switching frequency, modulation method, and steady-state modulation coefficient limit as the initial efficiency optimization strategy.

[0068] Step S103: Configure different efficiency optimization strategies for the power supply system by changing the switching frequency, the modulation method and the steady-state modulation coefficient limit.

[0069] In a specific implementation, the aforementioned optimization device can sequentially change the switching frequency and steady-state modulation coefficient limit based on a pre-set step size, and change the modulation method, thereby obtaining different efficiency optimization strategies composed of different switching frequencies, different modulation methods, and different steady-state modulation coefficient limits.

[0070] Step S20: Obtain the system efficiency of the power supply system under each efficiency optimization strategy, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network.

[0071] In a specific implementation, the aforementioned optimization device can obtain the system efficiency of the power supply system under different efficiency optimization strategies, that is, the system efficiency under different combinations of switching frequencies, different modulation methods and different steady-state modulation coefficient limits. Since the power supply system includes a DC power supply network, the system efficiency can include the DC power supply efficiency determined by the DC power supply network.

[0072] Furthermore, in this embodiment, the power supply system further includes: an electrical control module and a motor module, and step S20 includes:

[0073] The DC power efficiency of the DC-side network, the electrical control efficiency of the electrical control module, and the motor efficiency of the motor module are obtained under various efficiency optimization strategies of the power supply system.

[0074] In a practical implementation, the aforementioned optimization device can obtain the DC power supply efficiency determined by the DC-side network, the electronic control efficiency determined by the electronic control module, and the motor efficiency determined by the motor module after configuring different efficiency optimization strategies.

[0075] The system efficiency of the power supply system is determined based on the DC power supply efficiency, the electronic control efficiency, and the motor efficiency.

[0076] In practice, the aforementioned optimization device can multiply the DC power supply efficiency, electrical control efficiency, and motor efficiency to obtain the overall system efficiency of the power supply system.

[0077] Step S30: Determine the target optimization strategy that maximizes the efficiency of the system from the various efficiency optimization strategies, and take the target optimization strategy as the optimal strategy under the current operating condition.

[0078] In practical implementation, the aforementioned optimization device can record the system efficiency of the power supply system under different efficiency optimization strategies, and then determine the highest system efficiency from among the system efficiencies, and take the target optimization strategy corresponding to the highest system efficiency as the optimal strategy under the current operating conditions.

[0079] Further, in this embodiment, step S30 includes:

[0080] Step S301: Determine the target switching frequency, target modulation method, and target steady-state modulation coefficient limit that maximizes the efficiency of the system from multiple switching frequencies, multiple modulation methods, and multiple steady-state modulation coefficient limits.

[0081] In practical implementation, the aforementioned optimization device can record the system efficiency under different switching frequencies, different modulation methods, and different steady-state modulation coefficient limits, and then determine the target switching frequency, target modulation method, and target steady-state modulation coefficient limit that maximizes the system efficiency.

[0082] Step S302: The combination of the target switching frequency, the target modulation method, and the target steady-state modulation coefficient limit is used as the target optimization strategy.

[0083] In practical implementation, the aforementioned optimization device can combine the determined target switching frequency, target modulation method, and target steady-state modulation coefficient limit as the target optimization strategy under the current operating condition, and take this target optimization strategy as the optimal strategy.

[0084] Furthermore, after determining the optimal strategy under the current operating conditions, the above steps can be repeated to determine the optimal strategy for maximizing system efficiency under all operating conditions.

[0085] For ease of understanding, please refer to Figure 3 This explanation does not limit the scope of this solution. Figure 3 This is a circuit diagram of the DC power supply side network in the first embodiment of the system efficiency optimization method of the present invention. Figure 3 The DC power supply network circuit includes: a battery cell (DC power source), a first resistor R1, a second resistor R2, a third resistor R3, a cable resistor RLine, a first capacitor Cap1, and a second capacitor Cap2. The positive terminal of the battery cell is connected to the first terminal of both the first resistor R1 and the first terminal of the first capacitor Cap1. The second terminal of the first resistor R1 is connected to the first terminals of both the second resistor R2 and the second capacitor Cap2. The first terminals of both the second resistor R2 and the second capacitor Cap2 are connected to the first terminal of the third resistor R3. The second terminal of the third resistor R3 is connected to the first terminal of the cable resistor RLine. Furthermore, the second terminal of the cable resistor RLine is connected to the first terminal of the electronic control module, the second terminal of the electronic control module is connected to the negative terminal of the battery cell, and the third terminal of the electronic control module is connected to the motor module.

[0086] like Figure 3As shown, the first resistor R1, the second resistor R2, and the third resistor R3 can be parasitic resistors that serve as the parasitic resistance within the DC power supply network, i.e., the DC power supply itself. The first capacitor Cap1 and the second capacitor Cap2 can be parasitic capacitors within the DC power supply network. Simultaneously, the cable resistor RLine can be considered the parasitic resistance of the DC connection cable. These parasitic resistances and capacitances generate corresponding fluctuation components, increasing losses in the battery and DC cable. If the DC power supply network is not considered, and system losses are directly determined through electronic control losses and motor losses, the system losses will be affected by the losses in the battery and DC cable, thus affecting the accuracy of the system efficiency determination. However, the system efficiency obtained in this embodiment includes the DC power supply network. The DC power supply efficiency determined by this DC power supply network is determined by the losses in the battery and DC cable, allowing the final determined system efficiency to avoid the influence of battery and DC cable losses, thereby improving the accuracy of the system efficiency determination.

[0087] This embodiment applies to a power supply system including a DC power supply side network. It configures different efficiency optimization strategies for the power supply system under current operating conditions; obtains the system efficiency of the power supply system under each efficiency optimization strategy, whereby the system efficiency includes the DC power supply efficiency determined by the DC power supply side network; and determines the target optimization strategy that maximizes system efficiency from among the various efficiency optimization strategies, and uses this target optimization strategy as the optimal strategy under the current operating conditions. This embodiment determines the optimal strategy that maximizes system efficiency from among the various efficiency optimization strategies. The system efficiency used by the optimal strategy includes the DC power supply efficiency determined by the DC power supply side network, avoiding the impact of DC ripple current loss on system efficiency, improving the accuracy of the optimal strategy determination, and ensuring the highest system efficiency under the determined optimal strategy, effectively improving the vehicle's driving range.

[0088] refer to Figure 4 , Figure 4 This is a flowchart illustrating the second embodiment of the system efficiency optimization method of the present invention.

[0089] Based on the first embodiment described above, in this embodiment, step S20 includes:

[0090] Step S201: Select several initial efficiency optimization strategies from the various efficiency optimization strategies.

[0091] In practice, the aforementioned optimization equipment can select several initial efficiency optimization strategies pre-set by technicians from various efficiency optimization strategies.

[0092] Step S202: Obtain the initial system efficiency of the power supply system under each initial efficiency optimization strategy.

[0093] In practice, the aforementioned optimization equipment can record the initial system efficiency of the DC-side network, electrical control, and motor in the power supply system under various initial efficiency optimization strategies.

[0094] Step S203: Determine the next efficiency optimization strategy based on each initial system efficiency using the first preset optimization algorithm, and return to the step of obtaining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, until the target optimization strategy that maximizes the system efficiency is determined.

[0095] It should be noted that the aforementioned first preset optimization algorithm can be an algorithm that adjusts the data required for the next step based on real-time data, such as a greedy algorithm, reinforcement learning algorithm, and machine learning algorithm.

[0096] In specific implementation, after determining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, the optimization device can input each initial system efficiency into the first preset optimization algorithm. The first preset optimization algorithm automatically selects the next efficiency optimization strategy from each efficiency optimization strategy based on each initial system efficiency. That is, the combination of the switching frequency, modulation method and steady-state modulation coefficient limit that needs to be set in the next step, or derives a new efficiency optimization strategy (that is, a new strategy different from each initial efficiency optimization strategy) based on each initial system efficiency as the next efficiency optimization strategy. Then, based on the next efficiency optimization strategy, it returns to the step of obtaining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, and repeats the above process until the target optimization strategy that maximizes the system efficiency under the current operating condition is determined, that is, the optimal strategy.

[0097] Furthermore, in this embodiment, after step S30, the method further includes:

[0098] Switch the current operating condition to the next operating condition, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy under each operating condition is determined.

[0099] In a specific implementation, after determining the optimal strategy for the current operating condition, the optimization device can switch the current operating condition to the next operating condition in the assessment operating condition, and then return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, repeating the above process until the optimal strategy for each operating condition is determined.

[0100] This embodiment selects several initial efficiency optimization strategies from various efficiency optimization strategies; obtains the initial system efficiency of the power supply system under each initial efficiency optimization strategy; determines the next efficiency optimization strategy based on each initial system efficiency using a first preset optimization algorithm, and returns to the step of obtaining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, until the target optimization strategy that maximizes the system efficiency is determined; switches the current operating condition to the next operating condition, and returns to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy for each operating condition is determined. This embodiment quickly determines the next efficiency optimization strategy using the first preset optimization algorithm, without traversing all efficiency optimization strategies, effectively reducing the resource consumption of the power supply system and improving the efficiency of determining the optimal strategy.

[0101] refer to Figure 5 , Figure 5 This is a flowchart illustrating the third embodiment of the system efficiency optimization method of the present invention.

[0102] Based on the second embodiment described above, in this embodiment, the method further includes:

[0103] Step S40: Switch the current operating condition to any one of the multiple preset typical operating conditions, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, and determine the optimal strategy for any one typical operating condition.

[0104] It should be noted that the above-mentioned preset typical operating conditions can be operating conditions under the rated parameters, such as the rated speed or the rated torque.

[0105] In a specific implementation, when the optimization device determines the optimal strategy under the current operating condition using the first preset optimization algorithm, it can switch the current operating condition to any one of the multiple preset typical operating conditions. Then, under any typical operating condition, it returns to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, repeats the process of determining the optimal strategy based on the first preset optimization algorithm, and determines the optimal strategy for any typical operating condition.

[0106] Step S50: Determine the next typical operating condition based on the optimal strategy of any typical operating condition using the second preset optimization algorithm, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy of the multiple preset typical operating conditions is determined.

[0107] It should be noted that the aforementioned second preset optimization algorithm can be an algorithm that adjusts the data required for the next step based on real-time data, such as a greedy algorithm, reinforcement learning algorithm, and machine learning algorithm.

[0108] In a specific implementation, after determining the optimal strategy for any typical operating condition, the optimization device can input the optimal strategy for any typical operating condition into the first preset optimization algorithm. The first preset optimization algorithm will automatically select the next typical operating condition from multiple preset typical operating conditions based on the optimal strategy for any typical operating condition, or derive a new typical operating condition (i.e., a new operating condition different from each preset typical operating condition) as the next typical operating condition based on the optimal strategy for any typical operating condition. Then, it will return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, and repeat the above process until the optimal strategy for the next typical operating condition is determined. By continuing to repeat the above process, the optimal strategy for each preset typical operating condition can be determined.

[0109] This embodiment determines the optimal strategy for any one of a plurality of preset typical operating conditions by switching the current operating condition to any one of them and returning to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition. Then, a second preset optimization algorithm is used to determine the next typical operating condition based on the optimal strategy of the given typical operating condition, and the process of configuring different efficiency optimization strategies for the power supply system under the current operating condition is repeated until the optimal strategy for all the preset typical operating conditions is determined. This embodiment automatically determines the next typical operating condition through the second preset optimization algorithm, effectively improving the efficiency of operating condition determination and thus improving the efficiency of optimal strategy determination.

[0110] Furthermore, this embodiment of the invention also proposes a storage medium storing a system efficiency optimization program, which, when executed by a processor, implements the steps of the system efficiency optimization method described above.

[0111] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the system efficiency optimization device of the present invention.

[0112] like Figure 5 As shown, the system efficiency optimization device proposed in this embodiment of the invention includes:

[0113] The strategy configuration module 501 is used to configure different efficiency optimization strategies for the power supply and consumption system under the current operating conditions.

[0114] The efficiency acquisition module 502 is used to acquire the system efficiency of the power supply system under various efficiency optimization strategies, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network.

[0115] The strategy determination module 501 is used to determine the target optimization strategy that makes the system most efficient from the various efficiency optimization strategies, and to take the target optimization strategy as the optimal strategy under the current operating condition.

[0116] This embodiment applies to a power supply system including a DC power supply side network. It configures different efficiency optimization strategies for the power supply system under current operating conditions; obtains the system efficiency of the power supply system under each efficiency optimization strategy, whereby the system efficiency includes the DC power supply efficiency determined by the DC power supply side network; and determines the target optimization strategy that maximizes system efficiency from among the various efficiency optimization strategies, and uses this target optimization strategy as the optimal strategy under the current operating conditions. This embodiment determines the optimal strategy that maximizes system efficiency from among the various efficiency optimization strategies. The system efficiency used by the optimal strategy includes the DC power supply efficiency determined by the DC power supply side network, avoiding the impact of DC ripple current loss on system efficiency, improving the accuracy of the optimal strategy determination, and ensuring the highest system efficiency under the determined optimal strategy, effectively improving the vehicle's driving range.

[0117] In one implementation, the strategy configuration module 501 is further configured to configure a switching frequency, modulation method, and steady-state modulation coefficient limit for the power supply system under the current operating conditions; to use the combination of the switching frequency, the modulation method, and the steady-state modulation coefficient limit as an efficiency optimization strategy; and to configure different efficiency optimization strategies for the power supply system by changing the switching frequency, the modulation method, and the steady-state modulation coefficient limit.

[0118] In one implementation, the power supply system further includes an electrical control module and a motor module; the efficiency acquisition module 502 is also used to acquire the DC power efficiency of the DC-side network, the electrical control efficiency of the electrical control module, and the motor efficiency of the motor module under various efficiency optimization strategies; and to determine the system efficiency of the power supply system based on the DC power efficiency, the electrical control efficiency, and the motor efficiency.

[0119] In one implementation, the strategy determination module 501 is further configured to determine, from multiple switching frequencies, multiple modulation schemes, and multiple steady-state modulation coefficient limits, a target switching frequency, a target modulation scheme, and a target steady-state modulation coefficient limit that maximizes the efficiency of the system; and to use the combination of the target switching frequency, the target modulation scheme, and the target steady-state modulation coefficient limit as a target optimization strategy.

[0120] Based on the first embodiment of the system efficiency optimization device of the present invention, a second embodiment of the system efficiency optimization device of the present invention is proposed.

[0121] In this embodiment, the efficiency acquisition module 502 is further configured to select several initial efficiency optimization strategies from various efficiency optimization strategies; acquire the initial system efficiency of the power supply system under each initial efficiency optimization strategy; determine the next efficiency optimization strategy based on each initial system efficiency using a first preset optimization algorithm; and return to the step of acquiring the initial system efficiency of the power supply system under each initial efficiency optimization strategy, until the target optimization strategy that maximizes the system efficiency is determined.

[0122] In one implementation, the strategy determination module 501 is further configured to switch the current operating condition to the next operating condition and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy under each operating condition is determined.

[0123] Based on the second embodiment of the system efficiency optimization device of the present invention, a third embodiment of the system efficiency optimization device of the present invention is proposed.

[0124] In this embodiment, the strategy determination module 501 is further configured to switch the current operating condition to any one of a plurality of preset typical operating conditions, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, thereby determining the optimal strategy for any one typical operating condition; and determine the next typical operating condition based on the optimal strategy of any one typical operating condition using a second preset optimization algorithm, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy for the plurality of preset typical operating conditions is determined.

[0125] The specific implementation of the system efficiency optimization device of the present invention can be referred to the above-described method embodiments, and will not be repeated here.

[0126] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0127] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0128] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0129] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of the patent of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention’s specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A system efficiency optimization method, characterized in that, The method is applied to a power supply system including a DC power supply side network, and the method includes: Configure different efficiency optimization strategies for the power supply and consumption system under the current operating conditions; Obtain the system efficiency of the power supply system under various efficiency optimization strategies, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network; From the various efficiency optimization strategies, determine the target optimization strategy that maximizes the efficiency of the system, and take the target optimization strategy as the optimal strategy under the current operating condition; The step of configuring different efficiency optimization strategies for the power supply and consumption system under the current operating conditions includes: Configure the switching frequency, modulation method, and steady-state modulation coefficient limit for the power supply system under the current operating conditions; The combination of the switching frequency, the modulation method, and the steady-state modulation coefficient limit is used as an efficiency optimization strategy. Different efficiency optimization strategies can be configured for the power supply system by changing the switching frequency, the modulation method, and the steady-state modulation coefficient limit.

2. The system efficiency optimization method as described in claim 1, characterized in that, The power supply system also includes: an electrical control module and a motor module; The step of obtaining the system efficiency of the power supply and utilization system under various efficiency optimization strategies includes: The DC power efficiency of the DC power supply side network, the electrical control efficiency of the electrical control module, and the motor efficiency of the motor module are obtained under various efficiency optimization strategies of the power supply system. The system efficiency of the power supply system is determined based on the DC power supply efficiency, the electronic control efficiency, and the motor efficiency.

3. The system efficiency optimization method as described in claim 2, characterized in that, The step of determining the objective optimization strategy that maximizes the efficiency of the system from the various efficiency optimization strategies includes: Determine the target switching frequency, target modulation scheme, and target steady-state modulation coefficient limit that maximize the efficiency of the system from multiple switching frequencies, multiple modulation schemes, and multiple steady-state modulation coefficient limits; The combination of the target switching frequency, the target modulation scheme, and the target steady-state modulation coefficient limit is used as the target optimization strategy.

4. The system efficiency optimization method as described in claim 1, characterized in that, The step of obtaining the system efficiency of the power supply and utilization system under various efficiency optimization strategies includes: Select several initial efficiency optimization strategies from among the various efficiency optimization strategies; Obtain the initial system efficiency of the power supply and utilization system under each initial efficiency optimization strategy; The first preset optimization algorithm determines the next efficiency optimization strategy based on each initial system efficiency, and returns to the step of obtaining the initial system efficiency of the power supply system under each initial efficiency optimization strategy, until the target optimization strategy that maximizes the system efficiency is determined.

5. The system efficiency optimization method as described in claim 4, characterized in that, After the step of determining the target optimization strategy that maximizes the system efficiency from the various efficiency optimization strategies, and using the target optimization strategy as the optimal strategy under the current operating condition, the method further includes: Switch the current operating condition to the next operating condition, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, until the optimal strategy under each operating condition is determined.

6. The system efficiency optimization method as described in claim 5, characterized in that, The method further includes: Switch the current operating condition to any one of the multiple preset typical operating conditions, and return to the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition, and determine the optimal strategy for any one typical operating condition. The next typical operating condition is determined by the second preset optimization algorithm based on the optimal strategy of any typical operating condition, and the step of configuring different efficiency optimization strategies for the power supply system under the current operating condition is returned until the optimal strategy of the multiple preset typical operating conditions is determined.

7. A system efficiency optimization device, characterized in that, The device includes: The strategy configuration module is used to configure different efficiency optimization strategies for the power supply and consumption system under the current operating conditions; An efficiency acquisition module is used to acquire the system efficiency of the power supply system under various efficiency optimization strategies, wherein the system efficiency includes the DC power supply efficiency determined by the DC power supply side network. The strategy determination module is used to determine the target optimization strategy that makes the system most efficient from the various efficiency optimization strategies, and to take the target optimization strategy as the optimal strategy under the current operating condition. The policy configuration module is also used for: Configure the switching frequency, modulation method, and steady-state modulation coefficient limit for the power supply system under the current operating conditions; The combination of the switching frequency, the modulation method, and the steady-state modulation coefficient limit is used as an efficiency optimization strategy. Different efficiency optimization strategies can be configured for the power supply system by changing the switching frequency, the modulation method, and the steady-state modulation coefficient limit.

8. A system efficiency optimization device, characterized in that, The device includes: a memory, a processor, and a system efficiency optimization program stored in the memory and executable on the processor, the system efficiency optimization program being configured to implement the steps of the system efficiency optimization method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a system efficiency optimization program, which, when executed by a processor, implements the steps of the system efficiency optimization method as described in any one of claims 1 to 6.

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