Self-powered intelligent forklift weighing system based on vibration energy harvesting

Abstract

The application provides a self-powered intelligent forklift weighing system based on vibration energy collection, and relates to the fields of forklift weighing and energy collection.The system is mainly composed of an intelligent forklift weighing device, a vibration energy collection module and an energy storage module.The weighing device is connected with a shaft pin type tension sensor through front and rear hanging plates and a guide connecting assembly, so as to collect the horizontal force at the top of the vertical part of the fork, and realize accurate detection of the weight of goods;the vibration energy collection module is internally provided with a high-energy-density magnet array and an induction coil, the mechanical vibration of the forklift is used to drive the magnet to limit reciprocating motion, the induction voltage is generated by cutting the magnetic induction line, the nonlinear magnetic kinetic energy conversion model is introduced to dynamically tune the resonant frequency, and the energy collection efficiency is improved;the energy storage module is provided with an integrated rectification and voltage stabilization circuit, and relies on an EMCS intelligent control algorithm to adaptively switch three power supply modes of Buck-Boost, straight-through and energy storage priority.The forklift mechanical vibration is converted into electric energy, and the problem of power supply for the sensor of the forklift weighing system is effectively solved.

Description

Technical Field

[0001] This invention relates to the field of forklift weighing and energy harvesting, and more specifically, to a self-powered intelligent forklift weighing system based on vibration energy harvesting. Background Technology

[0002] In the logistics and transportation sector, weighing goods is an indispensable operational step for billing and preventing overloading. Currently, the mainstream method is to transport goods to a weighbridge for weighing, a time-consuming and labor-intensive process. In contrast, forklift scales can complete weighing simultaneously during forklift transport, simplifying the operation, saving manpower and resources, and offering higher efficiency.

[0003] Existing forklift weighing technologies mainly employ two types of structures: one directly integrates sensors such as shear beams and bridge types, while the other uses sliding components in conjunction with tension or pressure sensors to achieve weighing. However, both solutions generally suffer from the challenge of powering the sensors, becoming one of the bottlenecks for their large-scale application.

[0004] Therefore, harvesting renewable energy from the forklift's operating environment to power sensors is a viable solution. Common environmental energy sources include wind, solar, tidal, and vibration energy. While the first two are relatively mature in application, their energy supply is unstable and less practical in indoor or complex environments where forklifts operate, limited by lighting and airflow conditions. In contrast, vibration energy is widely available in industrial settings, offering sustainability, cleanliness, and development potential, making it particularly suitable for energy recovery from heavy equipment such as forklifts.

[0005] However, existing vibration energy acquisition systems still face two major technical challenges: firstly, poor frequency band matching, as the main vibration frequency of forklifts is wide (approximately 5–25 Hz), making it difficult for fixed resonant structures to cover it efficiently; secondly, inefficient energy management, as traditional rectifier circuits lack load prediction capabilities, often resulting in power outages during vibration intervals.

[0006] Therefore, there is an urgent need to propose a self-powered forklift weighing device based on vibration energy harvesting. By introducing a high-energy dense magnetic array, frequency adaptive tuning technology, and predictive energy management strategy, efficient and stable energy recovery and intelligent power supply can be achieved, thereby breaking through the existing technical bottlenecks and improving the system reliability and intelligence level. Summary of the Invention

[0007] The purpose of this invention is to provide a self-powered intelligent forklift weighing system based on vibration energy harvesting, which addresses the shortcomings of existing technologies and solves the problems mentioned in the background.

[0008] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A self-powered intelligent forklift weighing system based on vibration energy harvesting includes: Weighing unit, used to measure the weight of goods when a forklift is loading or unloading them; The self-powered module is integrated inside the weighing unit, including an energy harvesting unit that converts vibration energy into electrical energy, and an energy management unit that manages electrical energy and supplies it to the weighing unit.

[0009] Furthermore, the weighing unit includes a front mounting plate, a rear mounting plate, a tension sensor, and a guide connection assembly; The front mounting plate is used to connect to the forklift's forks to withstand downward pressure, and the rear mounting plate is fixed to the forklift; the two ends of the tension sensor are connected to the front mounting plate and the rear mounting plate respectively, and are used to measure the tension force on the tension sensor and generate a weight signal. The guide connection assembly is located between the front and rear mounting plates to keep them parallel and limit their relative displacement in the horizontal direction.

[0010] Furthermore, the energy harvesting unit includes a housing and a magnetic field generation module, a motion execution module, and an electrical energy sensing module disposed within the housing; The motion execution module is located at both ends of the magnetic field generating module, and the electric energy sensing module is sleeved on the outer periphery of the magnetic field generating module. The motion execution module drives the magnetic field generating module to perform linear reciprocating motion relative to the electric energy sensing module, so that the electric energy sensing module generates an induced electromotive force in the changing magnetic field.

[0011] Furthermore, the magnetic field generating module includes two sets of permanent magnets and guide columns, with the two sets of permanent magnets symmetrically arranged on both sides of the guide column along the axis of the guide column; Each permanent magnet group includes eight permanent magnets and multiple insulating pads. The eight permanent magnets are arranged in a high-energy dense magnetic array, and the same magnetic positions of two adjacent permanent magnets are isolated by insulating pads.

[0012] Furthermore, the power induction module includes a winding frame and induction coils spaced apart on the outer periphery of the winding frame, with the induction coils nested around the outer periphery of the magnetic field generating module.

[0013] Furthermore, the motion execution module includes two elastic elements, a piezoelectric ceramic actuator, and a control module; Two elastic elements are respectively set at both ends of the magnetic field generating module to provide elastic restoring force for the magnetic field generating module; The piezoelectric ceramic actuator is connected to the elastic element. The piezoelectric ceramic actuator is used to adjust the preload of the elastic element to change the stiffness of the elastic element. The control module is connected to the energy sensing module and the piezoelectric ceramic actuator. It is used to monitor the output voltage spectrum of the energy sensing module in real time, and based on the nonlinear magnetokinetic energy conversion model and gradient descent optimization algorithm, it controls the piezoelectric ceramic actuator to adjust the preload of the elastic element, thereby realizing the system resonant frequency. Vibration frequency of forklift The adaptive matching satisfies the following relation: .

[0014] Furthermore, the control logic executed by the control module is based on the motion equations of the permanent magnet assembly:

[0015] in For the mass of the permanent magnet assembly, The damping coefficient is... For the stiffness of the elastic element, This represents the amplitude of the vibration excitation force. Define the maximum electromotive force function:

[0016] in, The number of coil turns. It represents the magnetic flux density. For effective cutting length, It is the relative velocity; when The time-triggered stiffness adjustment mechanism changes the spring preload through a piezoelectric ceramic actuator, increasing the electromotive force output amplitude.

[0017] Furthermore, the energy management unit includes a DC-DC converter subunit, a voltage regulation subunit, an energy storage subunit, and a management control module that are electrically connected in sequence to the DC-DC converter subunit and the rectifier subunit. The management control module executes a predictive energy management strategy and adaptively controls the voltage regulation subunit to switch operating modes according to the predicted energy input state in order to provide a stable DC power supply to the weighing unit.

[0018] Furthermore, the management and control module incorporates an ARIMA time series model to perform rolling predictions of energy input within a preset time period. Based on the predicted values ​​from the rolling predictions, the management and control module controls the voltage regulation subunit to adaptively switch between Buck-Boost mode, direct-through mode, and energy storage priority mode.

[0019] Furthermore, the management and control module executes the EMCS strategy, predicting the 5-second energy input using the ARIMA model:

[0020] It also dynamically switches the operating mode of the DC / DC converter based on the predicted value: when and Start model; when hour,

[0021] when hour,

[0022] The present invention has at least the following advantages or beneficial effects: 1. This invention solves the sensor power supply problem by integrating the self-powered module with the weighing unit and introducing frequency adaptive tuning and predictive energy management strategies. The system can generate its own power using the vibration energy generated during forklift operation, thus improving system independence.

[0023] 2. The vibration energy storage device of the present invention significantly improves the magnetic field utilization rate and energy harvesting efficiency through the design of a high-energy dense magnetic array.

[0024] 3. The three-phase induction coil structure and adaptive frequency tuning algorithm effectively enhance the power generation capacity under low-frequency vibration.

[0025] 4. By predicting energy input through the ARIMA model and adaptively switching the power supply mode, a continuous and stable power supply can be provided to the weighing unit during vibration intervals or fluctuating operating conditions, thereby realizing the forklift weighing system's complete self-powering, high-precision measurement, and long-term reliable operation. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a schematic diagram of the intelligent forklift weighing device of the present invention assembled on a forklift. Figure 2 This is the overall assembly drawing of the intelligent forklift weighing device of the present invention; Figure 3 This is a front view of the internal structure of the intelligent forklift weighing device of the present invention; Figure 4 This is a schematic diagram of the structure of the guide connection assembly of the present invention; Figure 5 This is a schematic diagram of the energy harvesting device of the present invention; Figure 6 This is a schematic diagram of the permanent magnet assembly structure of the energy harvesting device of the present invention; Figure 7 This is a schematic diagram of the induction coil leads of the energy harvesting device of the present invention; Figure 8 This is a schematic diagram showing the relationship between the mechanical structure's motion state and the direction of the circuit current in this invention. Figure 9This is a schematic diagram of the vibration energy storage device structure of the present invention; Figure 10 This is a schematic diagram of the vibration energy harvesting principle of the present invention.

[0028] Icons: 1. Weighing unit; 2. Energy harvesting unit; 3. Energy management unit; 4. Front mounting plate; 5. Rear mounting plate; 6. Tension sensor; 7. Bearing; 8. Rotating shaft; 9. Fixing block; 10. Bearing guide rail; 11. Forklift mast; 12. Fork teeth; 13. Bayonet; 14. Housing; 15. Permanent magnet assembly; 16. Induction coil; 17. Elastic element; 18. Winding frame; 19. Insulating gasket; 20. Guide column; 22. Piezoelectric ceramic actuator. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0030] Please refer to Figures 1 to 4 As shown in the figure, this application provides a self-powered intelligent forklift weighing system based on vibration energy harvesting. The system includes a weighing unit 1 and a self-powered module. The self-powered module is integrated inside the weighing unit 1 and includes an energy harvesting unit 2 that converts vibration energy into electrical energy, and an energy management unit 3 that manages the electrical energy and supplies it to the weighing unit 1. The system is installed on the forklift mast and utilizes the inherent wideband mechanical vibration of the forklift during travel and operation, converting it into electrical energy to provide a continuous and stable power supply to the weighing unit 1 and signal processing circuits, thus achieving self-powered intelligent weighing.

[0031] Specifically, the weighing unit 1 includes a front mounting plate 4, a rear mounting plate 5, a tension sensor 6, and a guide connection assembly. Both the front mounting plate 4 and the rear mounting plate 5 are made of steel plate. The front mounting plate 4 connects to the forklift forks to withstand downward pressure. The rear mounting plate 5 has bayonets 13 at its top and bottom, which can be fitted with the protrusions 12 and grooves of the forklift mast 11 for installation. Connecting seats are provided on opposite sides of the front mounting plate 4 and the rear mounting plate 5. The two ends of the tension sensor are respectively mounted on the front mounting plate 4 and the rear mounting plate 5 through corresponding connecting seats, used to measure the tension force on the tension sensor and generate a weight signal. Two guide connection assemblies are provided, located at the upper and lower parts between the front and rear mounting plates, respectively, to keep the front and rear mounting plates parallel and limit their relative displacement in the horizontal direction. The guide connection assembly includes a bearing 7, a rotating shaft 8, a fixing block 9, and a bearing guide rail 10. The bearing 7 is fixed to the upper and lower ends of the front mounting plate 4 via the rotating shaft 8 and the fixing block 9, and is connected to the bearing guide rail 10 installed on the rear mounting plate 5 to form a sliding guide structure, ensuring that the front and rear mounting plates remain parallel in the vertical direction, so that the tension sensor 6 can accurately receive the vertical load.

[0032] When the forklift loads goods, the forks, under the influence of gravity, cause the front mounting plate 4 to move vertically downwards. Simultaneously, due to leverage, a horizontal component force is generated on the upper part of the front mounting plate. The bearing 7 rolls within the guide rail 10, effectively limiting horizontal displacement and reducing frictional resistance. The entire structure ensures that the front and rear mounting plates remain parallel, and the tension sensor 6 accurately receives vertical loads, achieving high-precision weighing. This invention's intelligent forklift weighing device 1 has a simple structure, high weighing accuracy, is easy to manufacture and assemble, and is low in cost. It requires no modification to the forklift and is installed between the fork teeth and the mast, saving costs.

[0033] Please refer to Figure 3 , Figure 5 , Figure 6 , Figure 7 and Figure 8 As shown, the energy harvesting unit 2 is located on both sides of the rear mounting plate 5 and is used to provide energy to the tension sensor 6. The energy harvesting unit 2 includes a housing 14 and a magnetic field generation module, a motion execution module, and an electrical energy sensing module disposed within the housing 14.

[0034] The magnetic field generating module includes two sets of permanent magnet groups 15 and guide posts 20. The two sets of permanent magnet groups 15 are symmetrically arranged on both sides of the guide posts 20 along the axis of the guide posts 20. Each set of permanent magnet groups 15 includes eight permanent magnets and multiple insulating pads 19. The eight permanent magnets are divided into four groups (numbered I to IV) in pairs, and adjacent groups are isolated from each other by insulating pads 19; the polarities of the magnets in each group are arranged alternately (I is NS, II is SN, III is NS, and IV is SN), thereby improving the uniformity of magnetic field line distribution and magnetic energy conversion efficiency.

[0035] In this embodiment, the permanent magnets are high-performance neodymium iron boron cylindrical magnets, which have the advantages of high magnetic energy density and high stability. The permanent magnet array 15 is arranged in a high-energy dense magnetic array to obtain a spatial magnetic field with an ideal sinusoidal distribution, increasing the magnetic energy density and achieving efficient harvesting of vibrational mechanical energy. The magnetic induction intensity distribution of the high-energy dense magnetic array satisfies:

[0036] in, Indicates the axial position of the high-energy dense magnetic array Magnetic induction intensity at that location This represents the spatial position coordinates along the central axis of the permanent magnet assembly. Indicates the first The central axial position of the magnet group It represents the surface magnet strength of a single magnet.

[0037] The energy induction module includes a winding frame 18 and induction coils 16. The two ends of the winding frame 18 are fixedly connected to the outer casing by screws. Three grooves are spaced apart on the outer periphery of the winding frame 18, each groove containing an induction coil 16. The induction coils 16 are fitted around the outer periphery of the magnetic field generating module. The three independent induction coils 16 correspond to lead wires A1, B1, A2, B2, A3, and B3. The coil lead wires are combined as follows: A1, B2, and A3 form one lead wire, and B1, A2, and B3 form another. The lead wires are led out through the lead wire groove on the top of the winding frame and the outer casing hole, and connected to the energy management unit 3.

[0038] The motion execution module includes two elastic elements 17, a piezoelectric ceramic actuator 22, and a control module. The elastic elements 17 are helical springs, with two elastic elements 17 respectively positioned at both ends of the permanent magnet assembly 15. One end of the elastic element 17 abuts against the end of the permanent magnet assembly 15 to fix it, while the other end abuts against the piezoelectric ceramic actuator 22 mounted on the inner wall of the housing 14 to provide elastic restoring force to the magnetic field generation module. The piezoelectric ceramic actuator is used to adjust the preload of the elastic elements 17 to change their stiffness. The control module is connected to the energy sensing module and the piezoelectric ceramic actuator 22. It monitors the output voltage spectrum of the energy sensing module in real time and, based on a nonlinear magnetokinetic energy conversion model and a gradient descent optimization algorithm, controls the piezoelectric ceramic actuator 22 to adjust the preload of the elastic elements 17 to achieve the system's resonant frequency. Vibration frequency of forklift The adaptive matching satisfies the following relation: .

[0039] The control logic executed by the control module is based on the motion equations of the permanent magnet assembly:

[0040] in For the mass of the permanent magnet assembly, The damping coefficient is... The total stiffness of the helical spring (adaptive adjustment variable, initial value) ), This represents the amplitude of the vibration excitation force.

[0041] By introducing a nonlinear magnetokinetic energy conversion model and a frequency adaptive tuning mechanism, and based on the output voltage spectrum analysis of the induction coil (such as Fourier transform), the spring stiffness or reluctance displacement is dynamically adjusted to achieve the system's resonant frequency. Matching the vibration frequency of the forklift To maximize the induced electromotive force. The maximum induced electromotive force is:

[0042] in, The number of coil turns. It represents the magnetic flux density. For effective cutting length, The relative velocity is used. Iterative optimization is performed using gradient descent. ,when The stiffness adjustment mechanism is triggered in time, and the spring preload is changed through the piezoelectric ceramic actuator, so that the amplitude of the generated electromotive force increases.

[0043] Furthermore, the effective operating bandwidth of this device is , This indicates the effective operating bandwidth of the device. Indicates the system's resonant frequency. For quality factor, This indicates the maximum mechanical energy that the system is allowed or can achieve. Indicates the mass of the permanent magnet assembly. This is the initial amplitude. The optimized bandwidth gain is... .in, This represents the effective operating bandwidth after frequency adaptive tuning. This represents the initial effective working bandwidth before optimization.

[0044] Please refer to Figure 9 and Figure 10As shown, in this embodiment, the energy management unit 3 mainly consists of an energy storage circuit board. The energy storage circuit board includes multiple electronic components, which, through their interconnection and operation, enable the acquisition and regulation of electrical energy in the vibration energy storage device. The energy management unit 3 includes a DC-DC converter subunit, a voltage regulation subunit, an energy storage subunit, and a management and control module electrically connected in sequence to the DC-DC converter subunit and the rectifier subunit. The DC-DC converter subunit is an AC / DC converter that is electrically connected to the energy sensing module. It converts the input AC power into DC power for storage or supply to the DC load. The voltage regulation subunit is a DC / DC converter that adjusts parameters such as voltage and current in the circuit to adapt to different load requirements. It can provide a stable DC power output and adjust according to load changes. The energy storage subunit is a storage capacitor that stores and releases electrical energy in the energy collection circuit board, supplying power to the tension sensor 6 when needed. The management and control module is a power controller that regulates and controls the electrical energy in the circuit to adapt to different loads and operating conditions. It can monitor parameters such as current and voltage and perform power management as needed to ensure stable circuit operation.

[0045] The management and control module incorporates an ARIMA time series model for rolling forecasts of energy input within a preset time period. Based on these forecasts, the module adaptively switches the voltage regulation subunit between Buck-Boost, direct-through, and energy storage priority modes. The module uses an embedded microprocessor to continuously calculate the output voltage and its rate of change from the energy harvesting unit 310, generating a time series data stream of energy input. The ARIMA model analyzes this data stream using autocorrelation and partial autocorrelation to extract trend and periodic characteristics, enabling high-precision rolling forecasts of energy input in the short term (e.g., 5 seconds). Based on the forecasts, the management and control module instructs the DC / DC converter: when sufficient energy input is predicted, the system prepares in advance to efficiently store excess energy; when energy levels are predicted to be low, the system switches to a mode powered by the energy storage subunit, avoiding potential lag and voltage interruptions caused by real-time monitoring and control.

[0046] The rate of change of the capacitance voltage of the storage capacitor is ,in This refers to the capacitance of the supercapacitor. Leakage current coefficient, .

[0047] The power controller executes the EMCS strategy, predicting the 5-second energy input using the ARIMA model:

[0048] It also dynamically switches the operating mode of the DC / DC converter based on the predicted value: when and Start model; when hour,

[0049] when hour,

[0050] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A self-powered intelligent forklift weighing system based on vibration energy harvesting, characterized in that, include: Weighing unit, used to measure the weight of goods when a forklift is loading or unloading them; The self-powered module is integrated inside the weighing unit, including an energy harvesting unit that converts vibration energy into electrical energy, and an energy management unit that manages electrical energy and supplies it to the weighing unit.

2. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 1, characterized in that, The weighing unit includes a front mounting plate, a rear mounting plate, a tension sensor, and a guide connection assembly; The front mounting plate is used to connect to the forklift's forks to withstand downward pressure, and the rear mounting plate is fixed to the forklift; the two ends of the tension sensor are connected to the front mounting plate and the rear mounting plate respectively, and are used to measure the tension force on the tension sensor and generate a weight signal. The guide connection assembly is located between the front and rear mounting plates to keep them parallel and limit their relative displacement in the horizontal direction.

3. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 1, characterized in that, The energy harvesting unit includes a housing and a magnetic field generation module, a motion execution module, and an electrical energy sensing module disposed within the housing; The motion execution module is located at both ends of the magnetic field generating module, and the electric energy sensing module is sleeved on the outer periphery of the magnetic field generating module. The motion execution module drives the magnetic field generating module to perform linear reciprocating motion relative to the electric energy sensing module, so that the electric energy sensing module generates an induced electromotive force in the changing magnetic field.

4. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 3, characterized in that, The magnetic field generation module includes two sets of permanent magnets and a guide column. The two sets of permanent magnets are symmetrically arranged on both sides of the guide column along the axis of the guide column. Each permanent magnet group includes eight permanent magnets and multiple insulating pads. The eight permanent magnets are arranged in a high-energy dense magnetic array, and the same magnetic positions of two adjacent permanent magnets are isolated by insulating pads.

5. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 3, characterized in that, The power induction module includes a winding frame and induction coils spaced apart on the outer periphery of the winding frame. The induction coils are sleeved on the outer periphery of the magnetic field generating module.

6. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 4, characterized in that, The motion execution module includes two elastic elements, a piezoelectric ceramic actuator, and a control module; Two elastic elements are respectively set at both ends of the magnetic field generating module to provide elastic restoring force for the magnetic field generating module; The piezoelectric ceramic actuator is connected to the elastic element. The piezoelectric ceramic actuator is used to adjust the preload of the elastic element to change the stiffness of the elastic element. The control module is connected to the energy sensing module and the piezoelectric ceramic actuator. It is used to monitor the output voltage spectrum of the energy sensing module in real time, and based on the nonlinear magnetokinetic energy conversion model and gradient descent optimization algorithm, it controls the piezoelectric ceramic actuator to adjust the preload of the elastic element, thereby realizing the system resonant frequency. Vibration frequency of forklift The adaptive matching satisfies the following relation: .

7. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 6, characterized in that, The control logic executed by the control module is based on the motion equations of the permanent magnet assembly: in For the mass of the permanent magnet assembly, The damping coefficient is... For the stiffness of the elastic element, For permanent magnet assembly Displacement over time This represents the amplitude of the vibration excitation force. Define the maximum electromotive force function: in, The number of coil turns. It represents the magnetic flux density. For effective cutting length, It is the relative velocity; when The time-triggered stiffness adjustment mechanism changes the spring preload through a piezoelectric ceramic actuator, increasing the electromotive force output amplitude.

8. The self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 1, characterized in that, The energy management unit includes a DC-DC converter subunit, a voltage regulation subunit, an energy storage subunit, and a management and control module that are electrically connected in sequence to the DC-DC converter subunit and the rectifier subunit. The management and control module executes a predictive energy management strategy and adaptively controls the voltage regulation subunit to switch operating modes according to the predicted energy input state in order to provide a stable DC power supply to the weighing unit.

9. A self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 8, characterized in that, The management and control module has a built-in ARIMA time series model for rolling forecasts of energy input within a preset time period. The management and control module controls the voltage regulation subunit to adaptively switch between Buck-Boost mode, direct-flow mode and energy storage priority mode based on the predicted values ​​of rolling forecasts.

10. A self-powered intelligent forklift weighing system based on vibration energy harvesting according to claim 9, characterized in that, The management and control module executes the EMCS strategy and predicts the 5-second energy input using the ARIMA model: It also dynamically switches the operating mode of the DC / DC converter based on the predicted value: when and Start model; when hour, when hour,

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