An electric loader and a power generation prediction method, device and medium thereof

Abstract

This invention discloses an electric loader and its power generation prediction method, device, and medium. The power generation prediction method for the electric loader includes: acquiring the temperature of the power battery; when the temperature of the power battery is greater than or equal to a switching threshold, the range extender outputs rated power generation; when the temperature of the power battery is less than the switching threshold, a prediction strategy for a target power generation is executed through a prediction model; the prediction strategy for the target power generation includes: acquiring the total power of the vehicle, the power battery charge, the power battery temperature, and the power generation of the range extender in real time; calculating a comprehensive optimization target based on the total power of the vehicle, the power battery charge, the power battery temperature, and the power generation of the range extender; and calculating the optimal power generation of the range extender at the next moment based on the comprehensive optimization target. The technical solution provided by this invention balances battery protection and vehicle power matching by calculating the optimal power generation.

Description

Technical Field

[0001] This invention relates to the field of loader technology, and in particular to an electric loader and its power generation prediction method, device and medium. Background Technology

[0002] As a core piece of engineering equipment, loaders are characterized by complex operating conditions, drastic load fluctuations, long continuous operating times, and wide temperature ranges in the operating environment. With increasing environmental awareness, the use of electric loaders is becoming more widespread.

[0003] However, when starting the entire unit under low-temperature operating conditions, the power battery temperature is low, its activity decreases significantly, and the sustainable recharge current is reduced. This limits the range extender's power generation, failing to meet the vehicle's power requirements, ultimately necessitating a vehicle shutdown for charging, reducing work efficiency and production losses. If the range extender outputs directly at its rated power, problems such as power matching imbalance, battery overcharging, battery over-discharging, and frequent start-stop of the range extender can easily occur. Therefore, the power generation capacity of existing range extenders cannot simultaneously address battery protection and vehicle power matching. Summary of the Invention

[0004] This invention provides an electric loader and its power generation prediction method, device and medium to solve the problem that the power generation of the range extender cannot simultaneously take into account battery protection and the power matching of the whole vehicle.

[0005] According to one aspect of the present invention, a method for predicting the power generation of an electric loader is provided, comprising: The temperature of the power battery is obtained. When the temperature of the power battery is greater than or equal to the switching threshold, the range extender is controlled to output the rated power generation. When the temperature of the power battery is less than the switching threshold, the prediction strategy of the target power generation is executed through the prediction model. The target power generation prediction strategy includes: Real-time acquisition of total vehicle power, power battery charge, power battery temperature, and range extender power generation; The comprehensive optimization target is calculated based on the total power of the vehicle, the power battery capacity, the power battery temperature, and the power generation capacity of the range extender; The optimal power output of the range extender at the next moment is calculated based on the comprehensive optimization objective.

[0006] Optionally, the calculation of the comprehensive optimization objective based on the total power of the vehicle, the charge of the power battery, the temperature of the power battery, and the actual power generation of the range extender includes: Obtain the total power requirement of the vehicle, the target power battery temperature, and the target power battery capacity; Calculate the power deviation error term based on the total power requirement of the vehicle and the total power of the vehicle; Calculate the temperature deviation error term based on the target power battery temperature and the power battery temperature; Calculate the power deviation error term based on the target power battery capacity and the power battery capacity; Calculate the power generation deviation error term based on the power generation capacity of the range extender; The comprehensive optimization objective is calculated using a multi-objective optimization function based on the power deviation error term, the temperature deviation error term, the energy deviation error term, and the power generation of the range extender.

[0007] Optionally, the multi-objective optimization function is: ; in, The weight of the power deviation error term, The weight of the temperature deviation error term, The weight of the power deviation error term, The weight of the deviation error term in the power generation is... To comprehensively optimize the objectives, The total power of the vehicle is [value missing]. This refers to the total power requirement of the entire vehicle. The target power battery temperature, The temperature of the power battery, The target power battery capacity. The power battery capacity, The rate of change of the power generation of the range extender. k For the current moment, For the prediction time domain, is a positive integer greater than 2.

[0008] Optionally, calculating the optimal power generation of the range extender at the next moment based on the comprehensive optimization objective includes: Based on the comprehensive optimization objective and the first and second terms of the multi-objective optimization function, the optimal power generation sequence of the range extender is calculated; wherein, the optimal power generation of the range extender at the next moment is the minimum value in the optimal power generation sequence.

[0009] Optionally, calculating the optimal power generation sequence of the range extender based on the comprehensive optimization objective, the first-order term and the second-order term of the multi-objective optimization function includes: ; ; in, For the comprehensive optimization objective The calculated value, U This is the optimal power generation sequence of the range extender.H The Hessian matrix is ​​generated from the quadratic term of the multi-objective optimization function. g The gradient value is generated from the first-order term of the multi-objective optimization function. This represents the minimum value of the optimal power generation of the range extender. This represents the maximum value of the optimal power generation of the range extender.

[0010] Optionally, the optimal power generation sequence of the range extender U for: ; in, To control the time domain, it is a positive integer greater than 2.

[0011] Optionally, the optimal power generation of the range extender at the next moment is: ; in, It is the minimum value in the optimal power generation sequence of the range extender.

[0012] According to another aspect of the present invention, a power generation prediction device for an electric loader is provided, comprising: a control module, wherein the control module is configured to acquire the temperature of a power battery, and when the temperature of the power battery is greater than or equal to a switching threshold, control a range extender to output rated power generation; and when the temperature of the power battery is less than the switching threshold, execute a prediction strategy for a target power generation through a prediction model.

[0013] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the power generation prediction method for an electric loader according to any embodiment of the present invention.

[0014] According to another aspect of the present invention, an electric loader is provided, comprising: a range extender, a signal receiving module, and a control module, wherein the control module is used to execute the power generation prediction method of the electric loader according to any embodiment of the present invention.

[0015] The technical solution provided by this invention comprehensively considers four different parameters: total vehicle power, power battery charge, power battery temperature, and range extender power generation. This enables the prediction of the optimal power generation of the range extender at the next moment, allowing the range extender to adjust its power based on the optimal power generation. This ensures that the power generation of the range extender can guarantee the stable operation of the power battery at low temperatures, while also adapting to the total vehicle power, resulting in a precise adjustment effect.

[0016] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a target power generation prediction strategy for an electric loader according to an embodiment of the present invention; Figure 2 This is a flowchart of another target power generation prediction strategy for an electric loader provided according to an embodiment of the present invention; Figure 3 This is a flowchart of a prediction strategy for the target power generation of an electric loader according to an embodiment of the present invention; Figure 4 This is a structural schematic diagram of an electric loader provided according to an embodiment of the present invention. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] This invention provides a method for predicting the power generation of an electric loader. The method includes: acquiring the temperature of the power battery; when the temperature of the power battery is greater than or equal to a switching threshold, controlling the range extender to output rated power generation; and when the temperature of the power battery is less than the switching threshold, executing a prediction strategy for the target power generation using a prediction model. Figure 1 A flowchart illustrating a target power generation prediction strategy for an electric loader, provided as an embodiment of the present invention. (See reference...) Figure 1 The target power generation prediction strategies include: S110: Real-time acquisition of total vehicle power, power battery charge, power battery temperature, and range extender power generation.

[0022] Before implementing the target power generation prediction strategy, the temperature of the power battery is first detected. The power battery temperature can be the average temperature of each cell inside the power battery. When the power battery temperature is greater than or equal to the switching threshold, it indicates that the operating environment temperature of the electric loader is suitable, the range extender's relevant characteristics are performing well, and it can output the rated power generation.

[0023] When the temperature of the power battery is below the switching threshold, the battery's charging and discharging capacity and sustainable recharge current decrease, resulting in the electric loader's range extender's maximum power generation capacity being limited and falling below the rated power output. Therefore, a target power generation prediction strategy is needed to adjust the range extender's power output to achieve optimal power output. Optimal power output optimizes the power matching of the entire vehicle while ensuring that the battery is not damaged.

[0024] When executing the prediction strategy for the target power generation, multiple parameters can be obtained at various times by acquiring the total power of the vehicle, the power battery charge, the power battery temperature, and the power generation of the range extender in real time.

[0025] For example, when acquiring data, a first-order low-pass filter with a time constant of 50ms can be used to eliminate the impact noise of the loader operation and the sensor error, so as to obtain high-precision parameter values.

[0026] S120: Calculate the comprehensive optimization target based on the total power of the vehicle, the power battery capacity, the power battery temperature, and the power generation capacity of the range extender.

[0027] By comprehensively considering four parameters, a function can be established to calculate the overall optimization objective. In other words, the overall optimization objective includes the total power of the vehicle, the power battery capacity, the power battery temperature, and the power generation of the range extender, which is equivalent to the coordinated optimization of these four factors.

[0028] For example, when calculating the comprehensive optimization objective, different weights can be set for each parameter, so that the final comprehensive optimization objective can be adjusted accordingly based on each parameter.

[0029] S130. Calculate the optimal power generation of the range extender at the next moment based on the comprehensive optimization objective.

[0030] When calculating the optimal power output of the range extender, a comprehensive optimization objective can be used in conjunction with a quadratic programming minimum objective function. The quadratic programming minimum objective function will yield multiple power output sequences, and the minimum value among them can be taken as the optimal power output.

[0031] The technical solution provided by this invention comprehensively considers four different parameters: total vehicle power, power battery charge, power battery temperature, and range extender power generation. This enables the prediction of the optimal power generation of the range extender at the next moment, allowing the range extender to adjust its power based on the optimal power generation. This ensures that the power generation of the range extender can guarantee the stable operation of the power battery at low temperatures, while also adapting to the total vehicle power, resulting in a precise adjustment effect.

[0032] Figure 2 A flowchart illustrating another target power generation prediction strategy for an electric loader provided in an embodiment of the present invention. (See reference...) Figure 2 Based on the above embodiments, optionally, S120, calculating the comprehensive optimization objective based on the total power of the vehicle, the power battery charge, the power battery temperature, and the actual power generation of the range extender includes: S121. Obtain the total power requirement of the vehicle, the target power battery temperature, and the target power battery charge.

[0033] S122. Calculate the power deviation error item based on the total power demand of the vehicle and the total power of the vehicle; calculate the temperature deviation error item based on the target power battery temperature and the power battery temperature; calculate the power deviation error item based on the target power battery charge and the power battery charge; calculate the power generation deviation error item based on the power generation of the range extender.

[0034] Among them, the total power requirement of the vehicle, the target power battery temperature, and the target power battery capacity are the target values ​​of the vehicle. By calculating the power deviation error, temperature deviation error, and capacity deviation error, the difference between each parameter and the target value can be obtained. This setting method is equivalent to adding a penalty item, and targeted adjustments can be made through each error item.

[0035] S123. Based on the power deviation error term, temperature deviation error term, energy deviation error term, and the power generation of the range extender, calculate the comprehensive optimization objective through a multi-objective optimization function.

[0036] Based on the above embodiments, optionally, the multi-objective optimization function is: ; in, The weight of the power deviation error term. The weight of the temperature deviation error term. The weight of the power deviation error term. The weight of the deviation error term in power generation. To comprehensively optimize the objectives, This refers to the total power of the vehicle. For the total power requirements of the vehicle, For the target power battery temperature, For the temperature of the power battery, For the target power battery capacity, For the power battery capacity, The rate of change of the range extender's power generation. k For the current moment, For the prediction time domain, is a positive integer greater than 2.

[0037] Specifically, the power deviation error term is the square of the difference between the total power demand of the vehicle and the calculated total power of the vehicle, and it serves as a penalty for the deviation of the range extender's power generation from the total power demand of the vehicle. Because the power generation of the range extender is typically much lower than the total power demand of the vehicle in low-temperature environments, the weighting is adjusted accordingly. This improves the power delivery tracking characteristics of the range extender, meets the power requirements of the entire unit in low-temperature environments, and avoids shutdown due to low battery levels.

[0038] The temperature deviation error term is the square of the difference between the target battery temperature and the actual battery temperature, serving as a penalty for the deviation of the actual battery temperature from the target battery temperature. When the ambient temperature is too low, causing the battery temperature to drop too low, the battery characteristics will change at that temperature, limiting the allowable continuous charging current. This is addressed by adjusting the weights. Adjusting the power output of the range extender can prevent damage to the power battery.

[0039] The battery charge deviation error term is the square of the calculated deviation error term between the target battery charge and the total battery charge, serving as a penalty for the difference between the target and actual battery charge values. Because the charging capacity of the battery is significantly reduced in low-temperature environments, the target battery charge value can be set according to the actual power generation needs of the vehicle, by adjusting the weights. To maintain the power battery charge at a healthy level.

[0040] During operation, drastic fluctuations in the power output of the range extender can damage it, especially in low-temperature environments where the range extender's power output is limited by battery characteristics. Simultaneously, it must dynamically generate power to match the target power output by adjusting weights. It can improve the anti-interference capability of the range extender's power generation, making the power generation process smoother.

[0041] The calibration of each weight needs to be based on the specific low-temperature environment. For example, in areas with higher latitudes or altitudes, where temperatures are lower, the weights can be set accordingly. > > > Priority order.

[0042] The multi-objective optimization function provided in this embodiment of the invention comprehensively considers the following characteristics of the range extender's power generation, the protection characteristics of the power battery, the maintenance characteristics of the power battery's charge, and the anti-interference characteristics of the range extender's power generation. It also adaptively adjusts the weights of each item according to different needs, allowing for targeted adjustments.

[0043] Optionally, based on the actual operating conditions of the electric loader, it is necessary to impose conditional constraints on the relevant detection variables of the range extender. That is, after acquiring the total power of the vehicle, the power battery charge, the power battery temperature, and the power generation of the range extender in real time, it is necessary to filter each parameter to obtain more referential data, thereby improving the accuracy of the target power generation prediction.

[0044] Specifically, when the total power demand of the vehicle is greater than or equal to the range extender power generation corresponding to the continuous recharge current allowed by the current temperature of the power battery, the total power of the vehicle must be selected within the range that is greater than or equal to the range extender power generation corresponding to the continuous recharge current allowed by the current temperature of the power battery, and less than or equal to the range extender power generation corresponding to the pulse recharge current allowed by the current temperature of the power battery.

[0045] In low-temperature environments, the power output of the range extender must meet the power requirements of the operating conditions to prevent insufficient power output from causing the battery charge to drop too low, resulting in shutdown and requiring on-site charging.

[0046] When the total power demand of the vehicle is less than the range extender's power output corresponding to the continuous recharge current allowed by the current temperature of the power battery, the total power of the vehicle must be selected within the range that is greater than or equal to the minimum power output of the range extender and less than or equal to the power output of the range extender corresponding to the continuous recharge current allowed by the current temperature of the power battery.

[0047] Depending on the different battery characteristics, the maximum and minimum temperatures of the power battery can also be set, so that the temperature of the power battery needs to be selected within the range of the maximum and minimum temperatures.

[0048] Similarly, the battery charge range can be set, and the battery charge value must be selected within this range. For example, the battery charge range can be narrowed at low temperatures, while still meeting the vehicle's power requirements.

[0049] The absolute value of the rate of change of the range extender's power output must be less than or equal to the maximum rate of change of power output. The maximum rate of change of power output can be set according to the actual operating conditions and the characteristics of the range extender to improve the range extender's anti-interference capability. By limiting the rate of change of the range extender's power output, the smoothness of the power generation process is improved, which can protect and extend the life of the range extender.

[0050] Figure 3 A flowchart illustrating a target power generation prediction strategy for an electric loader, as provided in an embodiment of the present invention. (See reference...) Figure 3 Based on the above embodiments, optionally, S130, calculating the optimal power generation of the range extender at the next moment according to the comprehensive optimization objective includes: S131. Based on the comprehensive optimization objective, the first-order and second-order terms of the multi-objective optimization function, calculate the optimal power generation sequence of the range extender; where the optimal power generation of the range extender at the next moment is the minimum value in the optimal power generation sequence.

[0051] Based on the above embodiments, optionally, the optimal power generation sequence of the range extender is calculated according to the comprehensive optimization objective and the first and second terms of the multi-objective optimization function, including: ; ; in, To comprehensively optimize the objectives The calculated value, U This is the optimal power generation sequence for the range extender. H The Hessian matrix is ​​generated from the quadratic terms of the multi-objective optimization function. g The gradient value is generated from the first-order term of the multi-objective optimization function. This represents the minimum value of the optimal power generation of the range extender. This represents the maximum value of the optimal power generation capacity of the range extender.

[0052] Specifically, when calculating the comprehensive optimization objective, the multi-objective optimization function involves the addition and subtraction of multiple squared values; that is, the multi-objective optimization function contains both linear and quadratic terms. The quadratic term of the multi-objective optimization function can generate the Hessian matrix; the gradient value can be generated through the power deviation error term and the charge deviation error term, wherein the linear term of the multi-objective optimization function can generate the power deviation error term.

[0053] Therefore, the optimal power generation sequence of the range extender can be obtained through the above formula.

[0054] Based on the above embodiments, optionally, the optimal power generation sequence of the range extender... U for: ; in, To control the time domain, it is a positive integer greater than 2.

[0055] To control the time domain, that is U For range extenders in the future The optimal power generation sequence for each step. The specific values ​​in the control time domain can be smaller than the values ​​in the prediction time domain.

[0056] Based on the above embodiments, optionally, the optimal power generation of the range extender at the next moment is: .

[0057] in, It is the minimum value in the optimal power generation sequence of the range extender.

[0058] Specifically, once the optimal power generation sequence of the range extender is obtained, multiple power generation sets will be acquired. At this point, the minimum value among the multiple power generation sets can be taken as the optimal power generation, and the range extender can be controlled to generate power according to this value.

[0059] For example, once the optimal power generation of the range extender at the next moment is calculated, the next control cycle begins, and the above prediction process can be repeated to achieve closed-loop cyclic optimization control.

[0060] This invention also provides a power generation prediction device for an electric loader. The power generation prediction device for the electric loader includes a control module, which acquires the temperature of the power battery. When the temperature of the power battery is greater than or equal to a switching threshold, the control module controls the range extender to output rated power generation; when the temperature of the power battery is less than the switching threshold, the control module executes a prediction strategy for the target power generation through a prediction model. The control module is also used to execute the power generation prediction method for the electric loader provided in any embodiment of this invention, which has similar beneficial effects to the power generation prediction method for the electric loader, and will not be described in detail here.

[0061] This invention also provides a computer-readable storage medium. The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the power generation prediction method for an electric loader provided in any embodiment of this invention.

[0062] Figure 4 This is a schematic diagram of an electric loader provided in an embodiment of the present invention. (Reference) Figure 4The electric loader includes: a range extender 1, a signal receiving module 2, and a control module 3. The control module 3 is used to execute the power generation prediction method of the electric loader provided in any embodiment of the present invention.

[0063] The control module 3 includes a temperature threshold judgment module 31, a rated power output module 32, an expansion state observation module 33, and a model prediction module 34.

[0064] The signal receiving module 2 is used to obtain the power battery's charge and temperature, and also to obtain the range extender 1's power output. The temperature threshold judgment module 31 is used to determine the relationship between the power battery's temperature and the switching threshold. When the power battery's temperature is greater than or equal to the switching threshold, the rated power output module 32 controls the range extender to output the rated power output.

[0065] When the temperature of the power battery is less than the switching threshold, the prediction strategy expansion state observation module 33 transmits the filtered and optimized data obtained by the signal receiving module 2 to the model prediction module 34. The model prediction module 34 is used to execute the prediction strategy of the target power generation and calculate the optimal power generation of the range extender 1 at the next moment, so as to adjust the power generation of the range extender 1 at the next moment.

[0066] This invention, by judging the temperature of the power battery, can calculate the optimal power generation of the range extender at the next moment under low-temperature conditions, achieving optimal matching with the power demand of the loader. The extended state observation module can effectively detect various data and improve the data's anti-interference capability. The model prediction module optimizes the constraint of the range extender's power generation under low-temperature conditions, effectively protecting the power battery and extending its service life. Ultimately, this allows the range extender to operate in its high-efficiency range for extended periods, further reducing the loader's energy consumption.

[0067] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0068] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for predicting the power generation of an electric loader, characterized in that, include: The temperature of the power battery is obtained, and when the temperature of the power battery is greater than or equal to the switching threshold, the range extender is controlled to output the rated power generation. When the temperature of the power battery is lower than the switching threshold, the prediction strategy for the target power generation is executed through the prediction model. The target power generation prediction strategy includes: Real-time acquisition of total vehicle power, power battery charge, power battery temperature, and range extender power generation; The comprehensive optimization target is calculated based on the total power of the vehicle, the power battery capacity, the power battery temperature, and the power generation capacity of the range extender; The optimal power output of the range extender at the next moment is calculated based on the comprehensive optimization objective.

2. The power generation prediction method for an electric loader according to claim 1, characterized in that, The comprehensive optimization objective calculated based on the total power of the vehicle, the charge of the power battery, the temperature of the power battery, and the actual power generation of the range extender includes: Obtain the total power requirement of the vehicle, the target power battery temperature, and the target power battery capacity; Calculate the power deviation error term based on the total power requirement of the vehicle and the total power of the vehicle; Calculate the temperature deviation error term based on the target power battery temperature and the power battery temperature; Calculate the power deviation error term based on the target power battery capacity and the power battery capacity; Calculate the power generation deviation error term based on the power generation capacity of the range extender; The comprehensive optimization objective is calculated using a multi-objective optimization function based on the power deviation error term, the temperature deviation error term, the energy deviation error term, and the power generation of the range extender.

3. The power generation prediction method for an electric loader according to claim 2, characterized in that, The multi-objective optimization function is: ； in, The weight of the power deviation error term, The weight of the temperature deviation error term, The weight of the power deviation error term, The weight of the deviation error term in the power generation is... To comprehensively optimize the objectives, The total power of the vehicle is [value missing]. This refers to the total power requirement of the entire vehicle. The target power battery temperature, The temperature of the power battery, The target power battery capacity. The power battery capacity, The rate of change of the power generation of the range extender. k For the current moment, For the prediction time domain, is a positive integer greater than 2.

4. The power generation prediction method for an electric loader according to claim 2, characterized in that, The calculation of the optimal power generation of the range extender at the next moment based on the comprehensive optimization objective includes: Based on the comprehensive optimization objective, the first-order and second-order terms of the multi-objective optimization function, the optimal power generation sequence of the range extender is calculated; wherein, the optimal power generation of the range extender at the next moment is the minimum value in the optimal power generation sequence.

5. The power generation prediction method for an electric loader according to claim 4, characterized in that, The step of calculating the optimal power generation sequence of the range extender based on the comprehensive optimization objective and the first and second terms of the multi-objective optimization function includes: ； ； in, For the comprehensive optimization objective The calculated value, U This is the optimal power generation sequence of the range extender. H The Hessian matrix is ​​generated from the quadratic term of the multi-objective optimization function. g The gradient value is generated from the first-order term of the multi-objective optimization function. This represents the minimum value of the optimal power generation of the range extender. This represents the maximum value of the optimal power generation of the range extender.

6. The power generation prediction method for an electric loader according to claim 5, characterized in that, The optimal power generation sequence of the range extender U for: ； in, To control the time domain, it is a positive integer greater than 2.

7. The power generation prediction method for an electric loader according to claim 4, characterized in that, The optimal power generation of the range extender at the next moment is: ; in, It is the minimum value in the optimal power generation sequence of the range extender.

8. A power generation prediction device for an electric loader, characterized in that, include: The control module is used to acquire the temperature of the power battery. When the temperature of the power battery is greater than or equal to the switching threshold, the control module controls the range extender to output the rated power generation. When the temperature of the power battery is less than the switching threshold, the control module executes the prediction strategy of the target power generation through the prediction model.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the power generation prediction method for the electric loader according to any one of claims 1-7.

10. An electric loader, characterized in that, include: The range extender, signal receiving module, and control module are provided, wherein the control module is used to execute the power generation prediction method for the electric loader according to any one of claims 1-7.

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