Extended-range electric mine truck energy recovery and reutilization method

Abstract

The invention relates to an extended-range electric mine truck energy recovery and reutilization method, which comprises the steps of obtaining recovery energy through a piezoelectric material, obtaining an energy storage equipment state including a non-full-charge state and a full-charge state, determining a power supply strategy according to the energy storage equipment state, the power supply strategy including a battery mode and an equipment mode, the battery mode is used for indicating the recycled energy to be transmitted to a battery, the equipment mode is used for indicating the recycled energy to be transmitted to electric equipment, and the recycled energy generated by the piezoelectric material is processed according to the power supply strategy so that the electric parameters of the recycled energy can meet the transmission requirement of the power supply strategy. By adopting the method, the working environment characteristics of the mine truck can be utilized, the piezoelectric material is utilized to convert mechanical vibration into electric energy, the piezoelectric material is ensured to be in the optimal working state under different working conditions, the energy collection efficiency is improved, and effective use and storage of vibration recovery energy are ensured through an intelligent power supply strategy; and the operation reliability and the cruising ability of the system are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy recovery for electric mining trucks, and in particular relates to an energy recovery and reuse method for extended-range electric mining trucks. Background Art

[0002] With the development of energy technology, electric vehicles and electric heavy-duty transport vehicles that use green new energy have emerged. In order to make up for the problem that the range of electric vehicles is shorter than that of traditional fuel vehicles, electric vehicle energy recovery technology has been proposed.

[0003] Among the traditional vehicle energy recovery technologies, there are brake energy recovery technologies, which convert the mechanical energy generated by the electric vehicle during braking into electrical energy and store the electrical energy in the battery to increase the battery life of the electric vehicle. There are vibration energy recovery technologies, which use hydraulic shock absorbers or generating suspensions to convert part of the vibration energy into electrical energy. There is also waste heat energy recovery technology, especially in extended-range electric mining trucks, which collects the large amount of waste heat generated during the operation of the range extender and converts the waste heat into electrical energy for storage or utilization.

[0004] However, the current traditional methods cannot recover the braking energy for the expected duration of the vehicle due to the short braking time, and the energy conversion efficiency of using only hydraulic shock absorbers or power-generating suspensions is not high enough, and most of the heat evaporates into the air. Summary of the invention

[0005] Based on this, it is necessary to provide an extended-range electric mining truck energy recovery and reuse method that can address the above technical problems based on the strong vibration environment in which the electric mining truck works, such as carrying and loading and unloading mineral materials on rugged mountain roads.

[0006] The present application provides a method for energy recovery and reuse of an extended-range electric mining truck, comprising:

[0007] Recycling energy through piezoelectric materials;

[0008] Obtain the energy storage device status, which includes a partially charged state and a fully charged state;

[0009] Determine the power supply strategy according to the state of the energy storage device. The power supply strategy includes a battery mode and a device mode. The battery mode is used to indicate that the recovered energy is transmitted to the battery. The device mode is used to indicate that the recovered energy is transmitted to the power-consuming device.

[0010] The recovered energy generated by the piezoelectric material is processed according to the power supply strategy so that the electrical parameters of the recovered energy meet the transmission requirements of the power supply strategy.

[0011] Furthermore, in the process of obtaining the recovered energy through the piezoelectric material, the adjustment method of the piezoelectric material includes:

[0012] Obtain the vibration frequency and intensity data of the mining truck;

[0013] Determine the operation mode of the mining truck based on the vibration frequency and intensity data; the operation mode includes driving mode and loading and unloading mode;

[0014] Determine the working mode corresponding to the piezoelectric material according to the operation mode, the working mode including a compression mode and a bending mode;

[0015] When the vibration frequency reaches a set threshold, the variable load of the piezoelectric material is adjusted to a preset load value.

[0016] Furthermore, the operation mode of the mining truck is determined based on the vibration frequency and intensity data, including:

[0017] The vibration frequency and intensity data are filtered to obtain vibration data;

[0018] Extracting features from vibration data to obtain characteristic vibration data; the characteristic vibration data includes frequency, amplitude and vibration data change;

[0019] When the characteristic vibration data reaches a preset first vibration range, determining that the operation mode is a driving mode;

[0020] When the characteristic vibration data reaches a preset second vibration range, the operation mode is determined to be a mineral loading and unloading mode.

[0021] Furthermore, the working mode corresponding to the piezoelectric material is determined according to the operation mode, including:

[0022] When the operation mode is the driving mode, the corresponding working mode of the piezoelectric material is determined to be the compression mode; in the compression mode, the piezoelectric material generates voltage when subjected to vertical pressure;

[0023] When the operation mode is the loading and unloading mode, the corresponding working mode of the piezoelectric material is determined to be the bending mode; in the bending mode, the piezoelectric material generates voltage when subjected to bending stress.

[0024] Furthermore, a power supply strategy is determined according to the state of the energy storage device, including:

[0025] When the energy storage device is not fully charged, the power supply strategy is battery mode;

[0026] When the energy storage device is in full power state, the power supply strategy is device mode;

[0027] Energy storage devices in device mode are used to:

[0028] Get the power usage priority of the equipment; the power usage priority of the equipment is sorted from high to low according to the control importance of the equipment;

[0029] The recovered energy is used to meet the power needs of the corresponding power-consuming equipment according to the power usage priority of the equipment.

[0030] Furthermore, it also includes:

[0031] Analyze the effective vibration frequency in the operation mode according to the vibration frequency; the effective vibration frequency is the frequency that appears most frequently among the vibration frequencies;

[0032] Obtaining the energy output intensity of the piezoelectric material at the effective vibration frequency;

[0033] Calculate energy conversion efficiency based on energy output intensity;

[0034] The load value and power supply rate of the variable load of the piezoelectric material are adjusted according to the energy conversion efficiency.

[0035] Furthermore, it also includes:

[0036] Store vibration frequency and energy output intensity as historical time data;

[0037] After preprocessing the historical time data, feature extraction is performed to obtain a feature matrix;

[0038] Make predictions based on the characteristic matrix to obtain prediction results; the prediction results include prediction of operation mode, energy output prediction, and equipment energy demand prediction;

[0039] Based on the prediction and monitoring results, the working mode of the piezoelectric material is determined and the power supply strategy is adjusted.

[0040] Furthermore, it also includes:

[0041] The energy conversion efficiency is evaluated by using the input excitation and output response of the piezoelectric material to obtain a frequency response curve; the input excitation includes a pressure curve applied to the piezoelectric material; the pressure curve includes a vibration frequency and a variation amplitude; the output response includes an electric energy output curve of the piezoelectric material;

[0042] The optimal operating frequency and layout energy efficiency level at a specific location are obtained through the frequency response curve;

[0043] The layout location of the piezoelectric material is determined based on the optimal operating frequency and layout energy efficiency level.

[0044] Furthermore, the energy conversion efficiency is calculated, including:

[0045] The energy conversion efficiency is calculated based on the energy output intensity using the following formula:

[0046] V=dF

[0047] F=ma=m·2πf 2 A

[0048]

[0049]

[0050]

[0051] Where d is the piezoelectric constant, F is the force acting on the piezoelectric material, f is the vibration frequency, A is the amplitude, m is the effective mass of the piezoelectric material, a is the acceleration, C is the capacitance, and V is the voltage generated by the piezoelectric material.

[0052] Furthermore, the energy conversion efficiency is evaluated using the input excitation and output response of the piezoelectric material to obtain a frequency response curve, including:

[0053] The frequency response curve is obtained using the input excitation and output response of the piezoelectric material using the following formula:

[0054]

[0055] Among them, FPF(f) is the frequency response curve, Y(f) is the output signal of the piezoelectric material at a specific vibration frequency f; X(f) is the input signal applied to the mining card.

[0056] The above-mentioned extended-range electric mining truck energy recovery and reuse method fully utilizes the working environment characteristics of the mining truck, uses piezoelectric materials to convert mechanical vibrations into electrical energy, monitors the vibration frequency and intensity data of the mining truck in real time, and automatically identifies the operation mode of the mining truck, ensuring that the piezoelectric material is in the best working state under different working conditions, thereby improving the energy collection efficiency and adjusting the piezoelectric material load to maximize the power output. Through the intelligent power supply strategy, the battery mode and device mode are automatically switched according to the status of the energy storage device, ensuring the effective use and storage of vibration recovery energy, and improving the system's operating reliability and endurance. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 This is an application environment diagram of the method for energy recovery and reuse of an extended-range electric mining truck of the present invention;

[0059] Figure 2 It is a schematic flow chart of the method for energy recovery and reuse of the extended-range electric mining truck of the present invention;

[0060] Figure 3 It is a schematic diagram of the process of adjusting the piezoelectric material of the present invention;

[0061] Figure 4 It is a flow chart of step S302 of the method for adjusting the piezoelectric material of the present invention;

[0062] Figure 5 A schematic diagram of a process for adjusting variable load and power supply rate for energy conversion efficiency of the present invention;

[0063] Figure 6 A schematic diagram of a process for predicting the working mode and power supply strategy of a piezoelectric material according to the present invention;

[0064] Figure 7 A schematic diagram of a process for determining the arrangement position of a piezoelectric material according to the present invention; DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0066] The energy recovery and reuse method of the extended-range electric mining truck provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the extended-range electric mining truck (electric mining dump truck) has sufficient carrying capacity and is equipped with piezoelectric material 11, power system 12, power management system 13, real-time monitoring system 14 and data acquisition system 15. The piezoelectric material 11 is effectively connected to the power management system 13 to ensure that the output of the piezoelectric material 11 flows into the power management system 13. The power management system 13 distributes electricity to the power system 12, and the power system 12 drives the mining truck to operate. The power management system 13 is also responsible for ensuring electrical compatibility. The real-time monitoring system 14 can be equipped with sensors for real-time collection of vibration frequency and intensity data, etc., while the data acquisition system 15 is responsible for collecting and circulating the monitored data to jointly ensure the intelligent management of the system. In one embodiment, Figure 2 As shown, a method for energy recovery and reuse of an extended-range electric mining truck is provided, which is applied in the above environment and includes the following steps:

[0067] S201. Obtaining recycled energy through piezoelectric materials.

[0068] During the use of mining trucks, the mining trucks are in a vibrating state due to uneven road conditions or loading and unloading of minerals. Piezoelectric materials are arranged in key vibration areas. Schematically, piezoelectric materials are installed in the mineral-bearing part of the mining trucks. By responding to external vibrations, mechanical energy is converted into electrical energy. Specifically, when the piezoelectric material is subjected to pressure or bending, the internal piezoelectric effect causes charge separation and generates a voltage output.

[0069] S202: Acquire the state of the energy storage device, where the state of the energy storage device includes a partially charged state and a fully charged state.

[0070] The system monitors the power status of the pure device in real time to determine whether it is in a partially charged state or a fully charged state. Schematically, the battery power data can be collected through a voltage sensor and a current sensor, and the voltage data of the supercapacitor can also be collected through a voltage sensor.

[0071] S203. Determine a power supply strategy according to the state of the energy storage device. The power supply strategy includes a battery mode and a device mode. The battery mode is used to indicate that the recovered energy is transmitted to the battery, and the device mode is used to indicate that the recovered energy is transmitted to the power-consuming device.

[0072] When the energy storage device is not fully charged, the recovered energy is introduced into the battery for charging to store energy, that is, battery mode. When the energy storage device is fully charged, the recovered energy will be directly supplied to the power-consuming device 1 to meet its working needs. The system needs to give priority to battery mode to ensure the adequacy of battery charging, and only switch to device mode when the battery is fully charged.

[0073] S204. Processing the recovered energy generated by the piezoelectric material according to the power supply strategy so that the electrical parameters of the recovered energy meet the transmission requirements of the power supply strategy.

[0074] Specifically, the electric energy generated by the piezoelectric material is converted into direct current through a rectifier circuit, and the voltage and current are adjusted to meet the requirements of the power supply strategy. Through the power management system, according to the current power supply strategy, the energy transmission path and parameter adjustment are adjusted to ensure that the voltage, current and other parameters of the recovered energy are within a safe and effective range to meet the needs of different devices. Schematically, a diode rectifier circuit is used to convert the alternating current generated by the piezoelectric material into direct current. Schematically, a bridge rectifier is used to convert the alternating current generated by the piezoelectric material into direct current. Exemplarily, the electrical parameter of the recovered energy generated by the piezoelectric material is a voltage of 12V.

[0075] The embodiment of the present application provides an extended-range electric mining truck energy recovery and reuse method, which forms an efficient energy recovery and management system through piezoelectric materials, monitors the power situation of the mining truck and makes strategic judgments and further power processing, realizes the piezoelectric material to recover energy using the working environment characteristics of the mining truck and the effective reuse of the recovered energy, and ensures that the mining truck collects, stores and uses energy efficiently. Make full use of the working environment characteristics of the mining truck, use piezoelectric materials to convert mechanical vibrations into electrical energy, monitor the vibration frequency and intensity data of the mining truck in real time, automatically identify the operation mode of the mining truck, ensure that the piezoelectric material is in the best working state under different working conditions, improve the energy collection efficiency, and adjust the piezoelectric material load to maximize the power output. Through the intelligent power supply strategy, the battery mode and device mode are automatically switched according to the state of the energy storage device, ensuring the effective use and storage of vibration recovery energy, and improving the system's operating reliability and endurance.

[0076] In one embodiment, in the process of obtaining recycled energy through the piezoelectric material, the piezoelectric material is regulated in the following manner:

[0077] S301, obtaining vibration frequency and intensity data of the mining truck.

[0078] Vibration sensors are installed at key vibration areas of the mining truck. For example, accelerometers are installed to monitor the vibration frequency and intensity of the mining truck in real time during operation. The data acquisition system records these vibration data for subsequent analysis.

[0079] S302, determining the operation mode of the mining truck according to the vibration frequency and intensity data; the operation mode includes a driving mode and a mining material loading and unloading mode.

[0080] Analyze the collected vibration frequency and intensity data, and identify the current operation mode of the mining truck through the set threshold.

[0081] S303, determining a working mode corresponding to the piezoelectric material according to the operation mode, where the working modes include a compression mode and a bending mode.

[0082] S304: When the vibration frequency reaches a set threshold, the variable load of the piezoelectric material is adjusted to a preset load value.

[0083] Indicatively, when the vibration frequency is strong and reaches the set value, increasing the variable load of the piezoelectric material to a certain value can make the piezoelectric material work under a larger deformation, and the resonant frequency of the piezoelectric material and the external vibration frequency are better matched, thereby generating a higher output voltage, improving the effectiveness of energy collection, and improving energy conversion efficiency. Increasing the load can reduce excessive vibration of the piezoelectric material, reduce the risk of structural damage caused by resonance, and improve the stability and durability of the system.

[0084] Through real-time monitoring and dynamic control, the system ensures that piezoelectric materials can efficiently collect energy in different mining truck operation modes, thereby improving overall energy efficiency and system reliability.

[0085] In one embodiment, determining the operation mode of a mining truck based on vibration frequency and intensity data includes:

[0086] S401, filtering the vibration frequency and intensity data to obtain vibration data.

[0087] Specifically, a digital filter, which may be a low-pass filter or a band-pass filter, is used to filter the vibration frequency and intensity data to remove sensor noise or interference and retain data that is valid for the system.

[0088] S402 , extracting features from the vibration data to obtain feature vibration data; the feature vibration data includes frequency, amplitude and vibration data change.

[0089] Optionally, key features, including frequency, amplitude, and change, are extracted from the filtered vibration data to obtain characteristic vibration data, and time domain and frequency domain analysis methods may be used.

[0090] S403: When the characteristic vibration data reaches a preset first vibration range, determining that the operation mode is a driving mode.

[0091] According to the preset first vibration range, a specific frequency and amplitude range may be included. When the characteristic vibration data meets the first vibration range, the system automatically identifies the current operation mode as the driving mode, which is accompanied by high frequency and medium vibration amplitude. Schematically, the characteristic vibration data vibrates with high intensity within a specific frequency range, and the specific frequency range, i.e., the first vibration range, is 5-15 Hz (Hertz), and the amplitude is 0.2-1.0 g (gravity acceleration times speed). For example, 0.5 g represents 0.5 times the gravity acceleration.

[0092] S404: When the characteristic vibration data reaches a preset second vibration range, the operation mode is determined to be a loading and unloading mineral material mode.

[0093] Similarly, when the characteristic vibration data meets the preset conditions of the second vibration access, the system determines that the current operation mode is the loading and unloading mode, which is accompanied by low-frequency and large-amplitude vibration characteristics. Schematically, in a specific frequency range, that is, the second vibration range is 1-5Hz, and the amplitude changes to 0.5-2.0g.

[0094] By processing the data to make it smooth and avoid misjudgment due to noise, the accuracy of identifying the operating mode is improved. The system automatically identifies the driving status of the mining truck based on actual data without human intervention, and can quickly and accurately identify the operating mode, which helps the piezoelectric material to adjust in time to optimize energy collection and optimize the overall operating efficiency of the system.

[0095] In one embodiment, determining the working mode corresponding to the piezoelectric material according to the operation mode includes:

[0096] S41. When the operation mode is the driving mode, determine that the corresponding working mode of the piezoelectric material is the compression mode; in the compression mode, the piezoelectric material generates voltage when subjected to vertical pressure.

[0097] In driving mode, mining trucks usually travel on rough roads or mountain roads, that is, under continuous vibration of high intensity and high frequency, the piezoelectric material is in compression mode to collect more energy. In compression mode, the piezoelectric material is subjected to vertical pressure, and its volume changes, thereby generating voltage inside the material.

[0098] S42, when the operation mode is the loading and unloading mode, the corresponding working mode of the piezoelectric material is determined to be the bending mode; in the bending mode, the piezoelectric material generates voltage when subjected to bending stress.

[0099] Mining trucks are often subjected to bending stress during the process of loading and unloading ore. The vehicle body or load-bearing part can collect the vibration energy during the loading and unloading process by embedding piezoelectric materials. When the intensity changes greatly, it switches to bending mode to adapt to the different stresses during the loading and unloading process. When the piezoelectric material is subjected to bending stress, the shape of the material will change, thereby generating voltage.

[0100] Furthermore, a power supply strategy is determined according to the state of the energy storage device, including:

[0101] S51. When the energy storage device is not fully charged, the power supply strategy is a battery mode.

[0102] Use the power management system to monitor the status of the battery or device, which can be voltage or capacity. When the system detects that the power status of the energy storage device is not fully charged, the power supply strategy automatically switches to battery mode. In battery mode, the recovered energy will be imported into the battery for charging, and the recovered energy will be used in the form of storage to enhance the endurance of the electric mining truck. During the charging process, ensure that the battery is charged at the appropriate voltage and current to avoid overcharging or damage. Schematically, the rectified DC power is stored in the rechargeable battery. Schematically, a supercapacitor is used as an energy storage device.

[0103] S52: When the energy storage device is in a fully charged state, the power supply strategy is a device mode.

[0104] When the energy storage device is fully charged, the system will automatically switch to device mode. In this mode, the recovered energy will be directly supplied to the power-consuming device, ensuring that after the battery is fully charged, the energy is not wasted, but directly used to drive other key devices in the system. The recovered electric energy is used to power the power-consuming device through a suitable circuit. For example, a DC converter is used to transmit the recovered electric energy to the power-consuming device. In principle, the recovered electric energy can be used to drive auxiliary equipment of the mining truck, such as lighting, sensors, etc., to reduce dependence on the main battery and enhance the endurance of the mining truck.

[0105] Energy storage devices in device mode are used to:

[0106] S61. Obtaining the power usage priority of the equipment; the power usage priority of the equipment is sorted from high to low according to the control importance of the equipment.

[0107] In device mode, the system will analyze and determine the priority of each power-consuming device. The priority is divided according to the importance of the device and the control requirements. Schematically, the priority of the device can be adjusted based on real-time monitoring data and historical usage.

[0108] Indicatively, the power priority order of the equipment is preset. For example, the control system, which is responsible for the overall control and monitoring of the mining truck, the power system, which drives the mining truck forward, and the braking system, which ensures the safe braking mechanism of the mining truck, are set to high priority, giving priority to power supply, the lighting system and the sensor network are set to medium priority, followed by power consumption, and the air conditioning system and auxiliary equipment such as speakers are set to low priority, and finally meet the power consumption. According to the energy requirements and priorities of different equipment, the recovered energy is intelligently dispatched.

[0109] S62, using the recovered energy to meet the power consumption of corresponding power-consuming devices in order according to the power consumption priority of the devices.

[0110] According to the set power priority, the system distributes the recovered electric energy to each power-consuming device in turn, giving priority to meeting the power needs of the highest priority devices. Schematically, during the power distribution process, the system monitors the actual power consumption of each power-consuming device to ensure the accuracy and timeliness of power supply.

[0111] Ensure that the recovered electric energy can be effectively stored for subsequent use, reduce energy waste, intelligently manage the charging process, avoid overcharging, and thus extend the service life of the energy storage device. When the energy storage device is fully charged, the energy is directly supplied to the power-consuming equipment to meet the needs of the power-consuming equipment. The recovered energy can be used in a timely manner. By dynamically adjusting the power supply strategy, the energy efficiency of the system is improved, the reuse of recovered energy is optimized, and power is supplied according to the priority of the power-consuming equipment, ensuring that key equipment always has sufficient power supply, improving the reliability and efficiency of the overall system, and reasonably allocating power resources. In particular, it can meet the power supply of relevant safety equipment in an emergency and ensure the safety of the driver.

[0112] In one embodiment, it also includes:

[0113] S501. Analyze the effective vibration frequency in the operation mode according to the vibration frequency; the effective vibration frequency is the frequency that appears most frequently among the vibration frequencies.

[0114] In the monitored vibration frequency data, the frequency with the most occurrences is identified, which is called the effective vibration frequency. Schematically, it can be achieved by using the histogram or frequency counting method in frequency statistical analysis. The effective vibration frequency reflects the main vibration characteristics experienced by the mining truck under a specific operating mode.

[0115] S502: Obtain the energy output intensity of the piezoelectric material at the effective vibration frequency.

[0116] When the effective vibration frequency is identified, the energy output intensity of the piezoelectric material is measured and can be expressed in the form of voltage or power of electrical energy. Optionally, a voltage sensor or a power meter is connected to the piezoelectric material to detect the energy output intensity through the sensor or the power meter.

[0117] S503. Calculate energy conversion efficiency according to energy output intensity.

[0118] The energy conversion efficiency is calculated using the energy conversion efficiency formula. Usually,

[0119]

[0120] Among them, E output is the mechanical input of the piezoelectric material, E input is the electrical energy output of the piezoelectric material.

[0121] S504, adjusting the load value and power supply rate of the variable load of the piezoelectric material according to the energy conversion efficiency.

[0122] According to the calculated energy conversion efficiency, the variable load of the piezoelectric material is adjusted to optimize the performance at the current effective frequency. At the same time, the power supply rate is adjusted according to the energy conversion efficiency to ensure power safety and effective use of energy. Schematically, the power supply rate is automatically adjusted to avoid overcharging or energy loss.

[0123] By analyzing the frequency distribution based on the actual vibration frequency data, we can identify the most representative effective frequency in energy collection, obtain the energy conversion efficiency or performance at the main vibration frequency, and find further optimization methods. The system forms a closed-loop control and dynamically adjusts the load to ensure that the piezoelectric material operates in the best working state. By optimizing the load, energy recovery is maximized. At the same time, by optimizing the power supply efficiency, the battery charging and equipment power safety are guaranteed.

[0124] In one embodiment, it also includes:

[0125] S601, storing vibration frequency and energy output intensity as historical time data;

[0126] The system detects and records the vibration frequency and energy output intensity of the piezoelectric material at each time point in real time, and stores the data for analysis and use. Schematically, the vibration frequency and energy output intensity under different operating modes are identified and associated with time in order to predict the operating mode under future operating conditions.

[0127] S602, extracting features from the historical time data after preprocessing to obtain a feature matrix;

[0128] Schematically, preprocessing is performed based on historical time data, including denoising, smoothing and standardization to improve the quality of the data, and key features are extracted from the preprocessed data, including average frequency, amplitude, rate of change, operation mode, energy output data and energy utilization flow.

[0129] S603, predicting based on the characteristic matrix to obtain prediction results; the prediction results include predicted operation mode, energy output prediction, and equipment energy demand prediction;

[0130] Schematically, a regression analysis algorithm is used for prediction. Based on the input feature matrix, the prediction model is used to predict the operation mode, energy output intensity, and energy flow direction at a certain time in the future.

[0131] Schematically, the electrical energy that a piezoelectric material can generate under the current operating mode and environmental conditions is predicted, and the expected energy output is calculated based on the vibration intensity of a specific frequency.

[0132] S604: Determine the working mode of the piezoelectric material and adjust the power supply strategy according to the prediction results and the monitoring results.

[0133] Combine the prediction results with the real-time monitoring results, determine the working mode of the piezoelectric material in a certain period of time in the future by predicting the future operating mode, and use the real-time monitoring results for correction to improve the accuracy of the prediction results and ensure the appropriateness of the working mode and power supply strategy. Predict the energy output intensity and energy demand in advance, and optimize the energy management and allocation strategy.

[0134] By accumulating a large number of historical data samples through long-term data storage, the accuracy of the prediction results is improved. Based on historical data, the working mode and power supply strategy are predicted in advance, so that the system can maintain high efficiency during operation, improve response speed and flexibility, ensure that key equipment obtains necessary power support, optimize the working state of piezoelectric materials, and improve energy recovery efficiency.

[0135] In one embodiment, it also includes:

[0136] S701, using the input excitation and output response of the piezoelectric material to evaluate the energy conversion efficiency and obtain a frequency response curve; the input excitation includes a pressure curve applied to the piezoelectric material; the pressure curve includes a vibration frequency and a variation amplitude; the output response includes an electric energy output curve of the piezoelectric material;

[0137] In an exemplary manner, the frequency response curve is calculated using the input excitation and output response at a specific position. The input excitation may be an external force or signal applied to the system to cause the system to respond. For example, a continuously applied force is used as the input excitation. The output response is the reaction of the system to the input excitation, which may be displacement, velocity, acceleration, etc. For example, the electrical energy output of the piezoelectric material is used as the output response.

[0138] S702, obtaining the optimal operating frequency and layout energy efficiency level at a specific location through a frequency response curve;

[0139] Analyze the frequency response curve and phase information to determine the response characteristics of the system at different frequencies. By viewing the amplitude response diagram of the frequency response curve, identify the resonant frequency position. At the resonant frequency, the system response amplitude is the largest, which is usually the optimal frequency for energy collection. That is, the frequency corresponding to the maximum peak in the frequency response curve is the optimal frequency for energy collection. After identifying the optimal frequency, further measure the energy conversion efficiency under this frequency to evaluate the layout energy efficiency level.

[0140] S703. Determine the layout position of the piezoelectric material according to the optimal operating frequency and layout energy efficiency level.

[0141] According to the analysis results of the optimal operating frequency and layout energy efficiency level, the layout position of the piezoelectric material is determined to ensure that the piezoelectric material is at the maximum response position to improve the energy harvesting capacity.

[0142] Schematically, piezoelectric materials are densely arranged in the area with the strongest vibration to recover energy, and the piezoelectric material is designed with an appropriate shape and size so that its resonant frequency is consistent with the collected vibration frequency to maximize energy recovery.

[0143] In one embodiment, calculating the energy conversion efficiency includes:

[0144] The energy conversion efficiency is calculated based on the energy output intensity using the following formula:

[0145] V=dF

[0146] F=ma=m·2πf 2 A

[0147]

[0148]

[0149]

[0150] Where d is the piezoelectric constant, F is the force acting on the piezoelectric material, f is the vibration frequency, A is the amplitude, m is the effective mass of the piezoelectric material, a is the acceleration, C is the capacitance, and V is the voltage generated by the piezoelectric material.

[0151] In one embodiment, the energy conversion efficiency is evaluated by using the input excitation and output response of the piezoelectric material to obtain a frequency response curve, including:

[0152] The frequency response curve is obtained using the input excitation and output response of the piezoelectric material using the following formula:

[0153]

[0154] Among them, FPF(f) is the frequency response curve, Y(f) is the output signal of the piezoelectric material at a specific vibration frequency f; X(f) is the input signal applied to the mining card.

[0155] For example, the input excitation is a continuous and periodic sinusoidal force with a frequency of 10 Hz and an amplitude of 5 N, then Xt = 5sin2π·10t, and the output signal is the voltage output signal of the piezoelectric material. Then at a specific vibration frequency f = 10Hz, after Fourier transformation, the input signal Xf = 5, the output signal but The amplitude is 0.1 and the phase is 30°. The amplitude indicates the intensity of the output voltage relative to the applied force at a frequency of 10Hz, indicating the energy conversion efficiency at this frequency. The phase indicates a phase lag of 30°. The voltage response is delayed in time relative to the applied force. When the amplitude is 0.1, it is the highest, that is, when the optimal operating frequency is 10Hz, the maximum output response can be obtained. At this time, the layout energy efficiency level is 0.1. By addressing the peaks of multiple frequencies on the FRF curve, it is determined that a specific frequency can provide 2 optimal energy collection under a specific layout. By analyzing the FRF at different positions and the response differences under the same input conditions, the most suitable layout position is obtained comprehensively.

[0156] The present application provides an energy recovery and reuse method for an extended-range electric mining truck, which is mainly used in the transportation environment within the mining area, which usually includes rugged mountain roads and ever-changing terrain. When the mining truck is traveling on rugged roads, both the mining truck and the loaded mineral materials will vibrate. The violent vibration during the loading and unloading of mineral materials is also an important source of energy. Therefore, the working environment characteristics of the mining truck are fully utilized to construct an energy recovery and reuse method suitable for the mining truck.

[0157] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0158] The above-mentioned embodiments only express several implementation methods of the embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the embodiments of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the embodiments of the present application, and these all belong to the protection scope of the embodiments of the present application.

Claims

1. A method for energy recovery and reuse of an extended-range electric mining truck, characterized in that: The method comprises: Recycling energy through piezoelectric materials; Acquire the state of the energy storage device, where the state of the energy storage device includes a not fully charged state and a fully charged state; Determine a power supply strategy according to the state of the energy storage device, the power supply strategy including a battery mode and a device mode; the battery mode is used to indicate that the recovered energy is transmitted to the battery; the device mode is used to indicate that the recovered energy is transmitted to the power-consuming device; The recovered energy generated by the piezoelectric material is processed according to the power supply strategy so that the electrical parameters of the recovered energy meet the transmission requirements of the power supply strategy.

2. The method according to claim 1, characterized in that In the process of obtaining the recovered energy through the piezoelectric material, the adjustment method of the piezoelectric material includes: Obtain the vibration frequency and intensity data of the mining truck; Determining an operation mode of the mining truck according to the vibration frequency and the intensity data; the operation mode includes a driving mode and a mining material loading and unloading mode; Determining a working mode corresponding to the piezoelectric material according to the operation mode, wherein the working mode includes a compression mode and a bending mode; When the vibration frequency reaches a set threshold, the variable load of the piezoelectric material is adjusted to a preset load value.

3. The method according to claim 2, characterized in that Determining the operation mode of the mining truck according to the vibration frequency and the intensity data includes: Filtering the vibration frequency and the intensity data to obtain vibration data; Extracting features from the vibration data to obtain feature vibration data; the feature vibration data includes frequency, amplitude and vibration data change; When the characteristic vibration data reaches a preset first vibration range, determining that the operation mode is the driving mode; When the characteristic vibration data reaches a preset second vibration range, the operation mode is determined to be the mineral loading and unloading mode.

4. The method according to claim 2, characterized in that: Determining the working mode corresponding to the piezoelectric material according to the operating mode includes: When the operation mode is the driving mode, the corresponding operation mode of the piezoelectric material is determined to be the compression mode; in the compression mode, the piezoelectric material generates voltage when subjected to vertical pressure; When the operation mode is the mineral loading and unloading mode, the corresponding operation mode of the piezoelectric material is determined to be the bending mode; in the bending mode, the piezoelectric material generates voltage when subjected to bending stress.

5. The method according to any one of claims 1 to 4, characterized in that: The determining of the power supply strategy according to the state of the energy storage device includes: When the energy storage device is in the under-charged state, the power supply strategy is the battery mode; When the energy storage device is in the fully charged state, the power supply strategy is the device mode; The energy storage device in the device mode is used to: Obtaining the power usage priority of the equipment; the power usage priority of the equipment is sorted from high to low according to the control importance of the equipment; The recovered energy is used to satisfy the power consumption of the corresponding power-consuming equipment in turn according to the power consumption priority of the equipment.

6. The method according to claim 5, characterized in that Also includes: Analyze the effective vibration frequency in the operation mode according to the vibration frequency; the effective vibration frequency is the frequency that appears most frequently among the vibration frequencies; Obtaining the energy output intensity of the piezoelectric material at the effective vibration frequency; Calculating energy conversion efficiency according to the energy output intensity; The load value and the power supply rate of the variable load of the piezoelectric material are adjusted according to the energy conversion efficiency.

7. The method according to claim 6, characterized in that Also includes: storing the vibration frequency and the energy output intensity as historical time data; Extract features from the historical time data after preprocessing to obtain a feature matrix; Perform prediction based on the characteristic matrix to obtain prediction results; the prediction results include prediction of operation mode, energy output prediction, and equipment energy demand prediction; According to the prediction results and monitoring results, the working mode of the piezoelectric material is determined and the power supply strategy is adjusted.

8. The method according to claim 7, characterized in that Also includes: The energy conversion efficiency is evaluated by using the input excitation and output response of the piezoelectric material to obtain a frequency response curve; the input excitation includes a pressure curve applied to the piezoelectric material; the pressure curve includes a vibration frequency and a variation amplitude; the output response includes an electric energy output curve of the piezoelectric material; The optimal operating frequency and layout energy efficiency level at a specific location are obtained through the frequency response curve; The arrangement position of the piezoelectric material is determined according to the optimal operating frequency and the layout energy efficiency level.

9. The method according to claim 6, characterized in that The calculation of energy conversion efficiency comprises: The energy conversion efficiency is calculated based on the energy output intensity using the following formula: V=dF F=ma=m·(2πf) 2 A Wherein, d is the piezoelectric constant, F is the force acting on the piezoelectric material, f is the vibration frequency, A is the amplitude, m is the effective mass of the piezoelectric material, a is the acceleration, C is the capacitance, and V is the voltage generated by the piezoelectric material.

10. The method according to claim 8, characterized in that The step of evaluating the energy conversion efficiency by using the input excitation and output response of the piezoelectric material to obtain a frequency response curve includes: The frequency response curve is obtained using the input excitation and output response of the piezoelectric material using the following formula: Among them, FPF(f) is the frequency response curve, Y(f) is the output signal of the piezoelectric material at a specific vibration frequency f; X(f) is the input signal applied to the mining card.

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