Operation control method and system of hybrid power mine car

Abstract

The invention relates to the technical field of hybrid power mine cars, and discloses an operation control method and system for a hybrid power mine car, and the method comprises the steps: obtaining battery SOC data of the mine car in real time, and comparing the battery SOC data with a preset SOC working interval, so as to execute a corresponding range extender control instruction; acquiring various working condition parameter data of the mine car in real time to determine the current mine car working condition; determining required generated power according to the working condition of the mine car, and dividing the required generated power into charging required power and driving required power based on a preset distribution strategy; an energy recovery strategy is executed based on a brake signal of a mine car detected by a brake sensor so as to improve the energy utilization efficiency. Through intelligent management of the SOC of the battery, the service life of the battery is prolonged, and the safety of the battery is improved; a braking energy recovery mechanism is applied, so that the energy utilization efficiency is enhanced; and through a power distribution strategy based on working conditions, the operation performance of the vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid power mine cars, and in particular to an operation control method and system of a hybrid power mine car. Background Art

[0002] With the increasing global awareness of environmental protection and the development of new energy technologies, traditional fuel mining cars are gradually unable to meet the needs of modern society due to their high energy consumption and high pollution. Therefore, the development of new efficient and environmentally friendly mining cars has become one of the important directions for the development of the industry. As an innovative solution, hybrid mining cars can not only significantly reduce emission pollution, but also improve energy efficiency by combining the advantages of electric motors and internal combustion engines (or other forms of range extenders).

[0003] However, hybrid mining vehicles in the prior art still have some shortcomings during operation, such as: the battery management system is not intelligent enough and cannot flexibly adjust the battery status according to the actual operation status of the vehicle; the energy recovery mechanism is imperfect, resulting in the energy generated during braking not being effectively utilized; and the lack of effective management of the power generation required under different working conditions affects the performance and economy of the vehicle. Therefore, a more intelligent and reliable operation control method is needed to solve these problems. Summary of the invention

[0004] In view of this, the present invention proposes an operation control method and system for a hybrid mining car, which improves the battery life and safety through intelligent management of the battery SOC; applies a braking energy recovery mechanism to enhance energy utilization efficiency; and improves the vehicle's operating performance through a power allocation strategy based on working conditions.

[0005] In order to achieve the above object, in a first aspect, the present invention provides an operation control method of a hybrid mining vehicle, comprising: Acquire the battery SOC data of the mining vehicle in real time, and compare it with the preset SOC working range to execute the corresponding range extender control instruction; Acquire various operating parameter data of the mine car in real time to determine the current operating condition of the mine car; Determine the required power generation according to the working condition of the mining vehicle, and divide the required power generation into power required for charging and power required for driving based on a preset allocation strategy; Based on the braking signal of the mining vehicle detected by the braking sensor, an energy recovery strategy is executed to improve energy utilization efficiency.

[0006] Preferably, the battery SOC data of the mining vehicle is obtained in real time and compared with the preset SOC working range to execute the corresponding range extender control instruction, specifically: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

[0007] Preferably, the operating parameter data of the mine car are obtained in real time to determine the current operating condition of the mine car, specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

[0008] Preferably, the required power generation is determined according to the working condition of the mining vehicle, and the required power generation is divided into the power required for charging and the power required for driving based on a preset allocation strategy, specifically: A preset power demand model is called according to the working condition of the mine car, and the power demand model determines the required power generation according to the current working condition parameter data; Dividing the required generated power into power required for charging and power required for driving based on a preset allocation strategy; The generated power is distributed to battery charging and drive motors through a power distributor, and the currents of the batteries and the drive motors are monitored in real time to ensure that the distributed power meets the requirements.

[0009] Preferably, the required power generation power is divided into power required for charging and power required for driving based on a preset allocation strategy, specifically: assigning different weights to the power required for charging and the power required for driving based on the allocation strategy; The weight of the charging required power decreases as the battery SOC data increases; If the weight of the power required for charging is greater than the weight of the power required for driving, the battery charging power is increased first, otherwise, the driving motor power is increased first.

[0010] Preferably, based on the braking signal of the mining vehicle detected by the braking sensor, an energy recovery strategy is executed to improve energy utilization efficiency, specifically: When the brake sensor detects a brake signal of the mining vehicle, the kinetic energy generated by the brake is converted into electrical energy through a DC / DC converter and stored in the battery; The charging state of the battery is monitored in real time to prevent the battery from being overcharged.

[0011] Preferably, it also includes: Obtaining the current location information of the mine car through GPS positioning; Determine the preset driving route of the mining vehicle according to the map data combined with the driving path prediction model; Predicting the working conditions on the future driving path, including slope and distance, based on the current location information and the preset driving route; The SOC operating range is dynamically adjusted according to the prediction result.

[0012] In a second aspect, the present invention provides an operation control system for a hybrid mining vehicle, comprising: The acquisition module is used to obtain the battery SOC data of the mining vehicle in real time and compare it with the preset SOC working range to execute the corresponding range extender control instruction; An analysis module, used for acquiring various operating parameter data of the mine car in real time to determine the current operating condition of the mine car; An allocation module is used to determine the required power generation according to the working condition of the mining vehicle, and divide the required power generation into power required for charging and power required for driving based on a preset allocation strategy; The energy recovery module is used to detect the braking signal of the mining vehicle based on the braking sensor and execute the energy recovery strategy to improve the energy utilization efficiency.

[0013] Preferably, the acquisition module is specifically: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

[0014] Preferably, the analysis module is specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

[0015] The embodiment of the present application discloses an operation control method and system for a hybrid mining car. The method avoids battery damage caused by overcharging or over-discharging through intelligent management of the battery SOC, prolongs the battery life, and also improves the safety of system operation; through the application of the braking energy recovery mechanism, the energy that might have been wasted is effectively utilized, reducing overall energy consumption and operating costs; through the precise power allocation strategy based on working conditions, it ensures that a good operating state can be maintained under various complex conditions, and enhances the reliability and stability of the vehicle; using advanced path planning and prediction technology, the vehicle can automatically adjust the operating mode in a constantly changing working environment, achieving the purpose of energy saving, emission reduction and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A flowchart of a hybrid mining vehicle operation control method provided by an embodiment of the present invention; Figure 2 A schematic structural diagram of an operation control system of a hybrid power mining vehicle provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0018] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides an operation control method of a hybrid mining vehicle. Specifically, the method includes the following steps: Step S101, acquiring the battery SOC data of the mining vehicle in real time, and comparing it with a preset SOC working range to execute a corresponding range extender control instruction.

[0019] As mentioned above, by monitoring the SOC (state of charge) of the mine car battery in real time and comparing it with the pre-set SOC working range, the operation mode of the range extender is determined according to the actual state of the battery. This process ensures that the battery will not be damaged due to over-discharge, nor will it cause safety hazards due to over-charging, thereby improving the stability and reliability of the entire system.

[0020] For example, assuming that the battery SOC operating range of a hybrid mining vehicle is set to 20% to 80%, when the system detects that the battery SOC drops to 24%, it will immediately start the range extender and put it into power generation mode to replenish the battery power; when the battery SOC rises to 76%, the system will reduce the power generation power of the range extender to reduce unnecessary energy consumption; and when the battery SOC reaches or exceeds 80%, the system will completely shut down the range extender and stop power generation to prevent battery overcharging.

[0021] It should be noted that, technical personnel in this field can also adopt a multi-level threshold setting scheme based on the above scheme, that is, in order to more finely control the working state of the range extender, more levels of thresholds can be added on the original basis to further refine the power regulation strategy of the range extender; adopt a dynamic adjustment of the SOC working range scheme, that is, taking into account the differences in the needs of the mine car in different operating environments, the SOC working range can be dynamically adjusted according to the actual working conditions of the mine car (such as load, slope, etc.) through an intelligent algorithm. The above optional schemes all fall within the scope of protection of this application.

[0022] Step S102, acquiring various operating parameter data of the mine car in real time to determine the current operating condition of the mine car.

[0023] As mentioned above, various sensors installed on the mine car collect the operation data of the mine car in real time, including but not limited to parameters such as load, slope, and speed. These data will be transmitted to the central control unit for processing and analysis, so as to accurately determine the current working status of the mine car (such as empty, loaded, fully loaded, flat road, uphill, downhill, etc.). This step is the basis for realizing intelligent management and optimized operation of mine cars, which helps to improve energy efficiency and operational safety.

[0024] For example, a hybrid mine car is equipped with a variety of sensors, including: load sensors installed on the chassis or bottom of the mine car to measure the load of the mine car; slope sensors installed on the front or rear of the mine car to detect the slope of the mine car; speed sensors installed on the axles of the mine car to measure the speed of the mine car. When the mine car is traveling inside the mine, these sensors will collect data in real time and send it to the central control unit. For example: when the mine car is empty and traveling at a speed of 20km / h on a flat road, the system determines that the current working condition is "empty flat road"; when the mine car is fully loaded and traveling at a speed of 15km / h on a 10° uphill road, the system determines that the current working condition is "fully loaded uphill"; when the mine car is empty and traveling at a speed of 30km / h on a 5° downhill road, the system determines that the current working condition is "empty downhill".

[0025] It should be noted that those skilled in the art can also adopt more types of sensor solutions based on the above solutions, that is, set up temperature sensors to monitor the temperature changes inside and outside the mine car, especially mine cars working in high temperature environments, to prevent equipment damage caused by overheating; set up humidity sensors to monitor the humidity of the working environment of the mine car, which helps prevent electrical equipment from getting damp and short-circuiting; set up vibration sensors to detect the vibration of the mine car during driving, to help evaluate the mechanical state and road conditions of the mine car; set up environmental gas sensors to detect whether there is any harmful gas leakage in the mine car to ensure the safety of the driver and passengers. Adopt an integrated advanced data analysis algorithm solution, that is, based on a machine learning algorithm, through historical data training models, predict the energy consumption and performance of the mine car under specific working conditions, so as to optimize the operation strategy; based on fuzzy logic control, use fuzzy logic to process working condition data with high uncertainty and complexity, and improve the robustness and adaptability of the system; based on a multi-objective optimization algorithm, on the premise of ensuring safety, comprehensively consider multiple goals such as energy consumption, speed and comfort, and achieve optimal operation control. The above optional solutions all belong to the protection scope of this application.

[0026] Step S103: determining the required power generation according to the working condition of the mining vehicle, and dividing the required power generation into power required for charging and power required for driving based on a preset allocation strategy.

[0027] As mentioned above, the central control unit analyzes the current working parameters of the mine car (such as load, slope, speed, etc.) to determine the total power generation required by the mine car under the current working conditions. Then, according to the preset allocation strategy, the total power generation is reasonably divided into two parts: one part is used for battery charging, and the other part is used to drive the motor to ensure the efficient operation of the mine car and the good condition of the battery.

[0028] For example, the power requirements of a hybrid mining car under different working conditions are as follows: when unloaded and on a flat road, the total power demand is 50kW; when fully loaded and going uphill, the total power demand is 150kW; when unloaded and going downhill, the total power demand is 30kW. According to the preset allocation strategy, the specific allocation is as follows: when unloaded and on a flat road, the power required for charging is 20kW, and the power required for driving is 30kW; when fully loaded and going uphill, the power required for charging is 30kW, and the power required for driving is 120kW; when unloaded and going downhill, the power required for charging is 20kW, and the power required for driving is 10kW.

[0029] It should be noted that those skilled in the art can also adopt a dynamic adjustment allocation strategy based on the above scheme, that is, dynamically adjust the ratio of the power required for charging and the power required for driving according to the current SOC (state of charge), temperature and health of the battery. For example, when the battery SOC is low, the charging power is increased first; when the battery temperature is high, the charging power is appropriately reduced to prevent overheating; when the mine car switches from one working condition to another, the system can quickly adjust the power allocation strategy to ensure a smooth transition. For example, when the mine car switches from a flat road to an uphill road, the driving power is quickly increased to ensure that the mine car has enough power to climb the slope. The introduction of a multi-objective optimization algorithm is adopted, that is, through a multi-objective optimization algorithm, the optimal power allocation scheme is determined by comprehensively considering factors such as energy consumption, battery life and driving comfort. For example, when the mine car is driving on a flat road, the charging power can be appropriately increased and the driving power can be reduced to save energy; according to the specific task requirements of the mine car (such as transportation speed, load capacity, etc.), the power allocation is dynamically adjusted to ensure that the mine car can perform at its best under different working conditions. The above optional schemes all belong to the protection scope of this application.

[0030] Step S104: Based on the braking signal of the mining vehicle detected by the braking sensor, an energy recovery strategy is executed to improve energy utilization efficiency.

[0031] As mentioned above, the braking sensor installed on the mine car detects the braking signal of the mine car in real time. When the braking signal is detected, the system will start the energy recovery mechanism, convert the kinetic energy generated during braking into electrical energy through the DC / DC converter, and store it in the battery. This process can not only recover the energy that might have been wasted, but also improve the overall energy utilization efficiency and extend the battery life.

[0032] For example, a hybrid mine car is equipped with a brake sensor and a DC / DC converter. When the mine car driver steps on the brake pedal, the brake sensor detects the brake signal and transmits the signal to the central control unit. After receiving the brake signal, the central control unit immediately starts the energy recovery system. The kinetic energy generated during braking is transmitted to the generator through the brake system, and the generator converts the kinetic energy into electrical energy. The converted electrical energy is adjusted through the DC / DC converter to make it suitable for the battery charging requirements. The adjusted electrical energy is stored in the mine car's battery for subsequent driving or charging needs.

[0033] It should be noted that those skilled in the art can also adopt a multi-level energy recovery strategy on the basis of the above scheme, that is, set multiple levels of energy recovery strategies according to different braking intensities, for example, recover a small amount of energy during slight braking and recover a large amount of energy during strong braking; dynamically adjust the intensity of energy recovery according to the current SOC and temperature of the battery, when the battery SOC is high, appropriately reduce the recovery amount to prevent overcharging, and when the battery temperature is high, reduce the recovery power to prevent battery overheating. Adopt a coordinated control scheme of energy recovery and power distribution. That is, during the energy recovery process, the central control unit can coordinate the recovery energy with the currently required driving power and charging power in real time to ensure the optimization of the overall operation of the system; set the priority of energy recovery according to the current working conditions and battery status, for example, when the mine car is uphill, give priority to ensuring the power required for driving, moderately reduce the amount of energy recovery, and when the mine car is downhill or on a flat road, give priority to increasing the amount of energy recovery and replenishing the battery power. The above optional schemes all belong to the protection scope of this application.

[0034] In some embodiments of the present application, in order to dynamically adjust the working state of the range extender according to the real-time SOC data of the battery, ensure that the battery is always in the optimal working range, thereby improving the stability and reliability of the system. The battery SOC data of the mining vehicle is obtained in real time and compared with the preset SOC working range to execute the corresponding range extender control instruction, specifically: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

[0035] As described above, the first threshold and the second threshold are determined based on the preset SOC working range, the first threshold is slightly higher than the minimum value of the SOC working range, and the second threshold is slightly lower than the maximum value of the SOC working range. For example, if the SOC working range is set to 20% to 80%, the first threshold can be set to 25% and the second threshold can be set to 75%. When the real-time acquired battery SOC data is less than the first threshold, the range extender is started and power generation begins. For example, when the battery SOC drops to 24%, the system starts the range extender and puts it into power generation mode to replenish the battery power. When the real-time acquired battery SOC data is greater than the second threshold, the power generation power of the range extender is reduced. For example, when the battery SOC rises to 76%, the system reduces the power generation power of the range extender to reduce unnecessary energy consumption. When the real-time acquired battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off. For example, when the battery SOC reaches or exceeds 80%, the system will completely turn off the range extender, stop power generation, and prevent the battery from overcharging.

[0036] In some embodiments of the present application, in order to obtain the working parameters of the mine car in real time and accurately, and determine the current working condition of the mine car based on this, basic data support is provided for subsequent power demand calculation and control strategy. The working parameter data of the mine car is obtained in real time to determine the current working condition of the mine car, specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

[0037] As mentioned above, the load data of the mine car is obtained in real time through the load sensor; the slope data of the mine car is obtained in real time through the slope sensor; and the speed data of the mine car is obtained in real time through the speed sensor. Each working condition sensor transmits the collected data to the central control unit in real time, and the central control unit receives the data and performs preliminary processing to ensure the accuracy and integrity of the data. The central control unit analyzes the received working condition parameter data to determine the current working condition of the mine car, including judging whether the mine car is empty, loaded or fully loaded according to the load data; judging whether the mine car is driving on a flat road, uphill or downhill according to the slope data; and judging the driving speed of the mine car according to the speed data. Based on the above analysis results, the central control unit determines the current working condition of the mine car, including but not limited to the following situations: empty flat road, loaded flat road, fully loaded flat road, empty uphill, loaded uphill, fully loaded uphill, empty downhill, loaded downhill, fully loaded downhill.

[0038] In some embodiments of the present application, in order to accurately calculate the required power generation according to the current operating parameters of the mine car, and reasonably allocate it to battery charging and driving motors, thereby ensuring the efficient operation of the mine car and the good condition of the battery. The required power generation is determined according to the operating conditions of the mine car, and the required power generation is divided into the power required for charging and the power required for driving based on a preset allocation strategy, specifically: A preset power demand model is called according to the working condition of the mine car, and the power demand model determines the required power generation according to the current working condition parameter data; Dividing the required generated power into power required for charging and power required for driving based on a preset allocation strategy; The generated power is distributed to battery charging and drive motors through a power distributor, and the currents of the batteries and the drive motors are monitored in real time to ensure that the distributed power meets the requirements.

[0039] As described above, the preset power demand model is called according to the working condition of the mine car. The power demand model calculates the total power generation required by the mine car under the current working condition according to the current working condition parameter data (such as load data, slope data, vehicle speed data, etc.), including the required driving power according to the load of the mine car, for example, a larger driving power is required when fully loaded; the additional driving power required is determined according to the slope of the mine car, for example, a larger driving power is required when going uphill; the required power is determined according to the driving speed of the mine car, for example, a larger driving power is required when driving at high speed. Based on the preset allocation strategy, the power to be allocated to the battery charging is determined according to the current SOC (state of charge), temperature and health of the battery; the power to be allocated to the drive motor is determined according to the current driving demand of the mine car. The total power generation is allocated to the battery and the drive motor according to the preset allocation strategy through the power distributor. The current of the battery and the drive motor is monitored in real time by the current sensor. If the current abnormality is detected, the system will adjust the power allocation in time to prevent overload or over-discharge.

[0040] In some embodiments of the present application, in order to dynamically adjust the allocation ratio of the power required for charging and the power required for driving according to the current state of the battery and the actual needs of the mine car, thereby ensuring the efficient operation of the mine car and the good state of the battery. Based on the preset allocation strategy, the required power generation is divided into the power required for charging and the power required for driving, specifically: assigning different weights to the power required for charging and the power required for driving based on the allocation strategy; The weight of the charging required power decreases as the battery SOC data increases; If the weight of the power required for charging is greater than the weight of the power required for driving, the battery charging power is increased first, otherwise, the driving motor power is increased first.

[0041] As described above, based on the preset allocation strategy, different weights are assigned to the power required for charging and the power required for driving. The weights are set to reasonably allocate the power generation according to the actual working conditions and battery status of the mine car. When the battery SOC is low, the weight of the power required for charging is higher; when the battery SOC is high, the weight of the power required for charging is lower. For example, when the battery SOC is 20%, the weight of the power required for charging may be 0.7, and when the battery SOC is 80%, the weight of the power required for charging may be 0.3. If the weight of the power required for charging is greater than the weight of the power required for driving, the battery charging power is increased first, otherwise, the driving motor power is increased first. For example, when the weight of the power required for charging is 0.7 and the weight of the power required for driving is 0.3, the system will give priority to increasing the battery charging power to ensure that the battery returns to the appropriate SOC level as soon as possible; on the contrary, when the weight of the power required for charging is 0.3 and the weight of the power required for driving is 0.7, the system will give priority to increasing the driving motor power to ensure that the mine car has enough power to cope with the current working conditions.

[0042] In some embodiments of the present application, in order to effectively recover the kinetic energy generated during braking and store it in a battery to improve energy utilization efficiency, based on the braking sensor detecting the braking signal of the mining vehicle, an energy recovery strategy is executed to improve energy utilization efficiency, specifically: When the brake sensor detects a brake signal of the mining vehicle, the kinetic energy generated by the brake is converted into electrical energy through a DC / DC converter and stored in the battery; The charging state of the battery is monitored in real time to prevent the battery from being overcharged.

[0043] As mentioned above, the brake sensor can monitor the braking action of the brake pedal or the change of the brake pressure in real time. When the brake sensor detects the braking signal of the mine car, the system immediately starts the energy recovery mechanism. For example, when the driver steps on the brake pedal, the brake sensor will detect the braking signal and transmit the signal to the central control unit. After receiving the braking signal, the system converts the kinetic energy generated during the braking process into electrical energy through the DC / DC converter, including kinetic energy recovery, that is, during the braking process, the kinetic energy of the mine car is transmitted to the generator through the braking system, and the generator converts the kinetic energy into electrical energy; it also includes voltage regulation, that is, the converted electrical energy is voltage regulated by the DC / DC converter to make it suitable for the charging requirements of the battery. The DC / DC converter can convert the high-voltage direct current generated by the generator into the low-voltage direct current required by the battery. The voltage-regulated electrical energy is stored in the battery of the mine car for subsequent driving or charging needs. For example, when the mine car is going downhill or decelerating, the kinetic energy generated by braking is converted into electrical energy and stored in the battery for subsequent use. The system uses sensors installed on the battery to detect the battery's SOC (state of charge), voltage, temperature and other parameters in real time. When the battery SOC approaches or reaches the preset maximum value, the system will automatically reduce or cut off the power output of the energy recovery system to prevent the battery from overcharging. If the battery temperature is detected to be too high or other abnormal conditions occur, the system will sound an alarm and take corresponding protective measures to ensure the safety of the battery.

[0044] In some embodiments of the present application, in order to predict the working conditions on the future driving path and dynamically adjust the SOC working range according to the prediction results, the operation strategy of the mining car is optimized to improve energy utilization efficiency and system reliability. It also includes: Obtaining the current location information of the mine car through GPS positioning; Determine the preset driving route of the mining vehicle according to the map data combined with the driving path prediction model; Predicting the working conditions on the future driving path, including slope and distance, based on the current location information and the preset driving route; The SOC operating range is dynamically adjusted according to the prediction result.

[0045] As mentioned above, the GPS module installed on the mine car can obtain the latitude and longitude coordinates of the mine car in real time to accurately reflect the location of the mine car. The preset driving route of the mine car is determined based on the map data combined with the driving path prediction model. The map data contains information about each road in the mining area, such as road length, slope, turning points, etc. Based on the task requirements and historical driving data of the mine car, the prediction model generates an optimal driving route. According to the current position information of the mine car and the preset driving route, the working conditions on the future driving path are predicted, including slope prediction, that is, the system predicts the slope changes that the mine car will encounter in the future driving path based on the slope information in the map data; it also includes distance prediction, that is, the system calculates the distance from the current position of the mine car to each key point, so as to prepare in advance. According to the prediction results, the SOC working range is dynamically adjusted. The specific adjustment strategies include: uphill section adjustment, that is, when it is predicted that the mine car is about to enter an uphill section, the lower limit of the SOC working range is appropriately relaxed, allowing the battery to operate at a lower level to ensure that the mine car has sufficient driving power to climb the slope; downhill section adjustment, that is, when it is predicted that the mine car is about to enter a downhill section, the upper limit of the SOC working range is appropriately tightened, and braking energy recovery is used first to reduce the workload of the range extender; flat road driving adjustment, that is, when it is predicted that the mine car will travel a long distance on a flat road, the SOC working range is kept at a medium level to balance charging and driving needs; high energy consumption section adjustment, that is, when it is predicted that the mine car will pass through a high energy consumption section (such as frequent acceleration and deceleration), the lower limit of the SOC working range is appropriately increased to ensure that the battery has sufficient power to cope with high energy consumption needs.

[0046] Compared with the prior art, the embodiment of the present application discloses an operation control method for a hybrid mining car. The method avoids battery damage caused by overcharging or over-discharging through intelligent management of the battery SOC, thereby extending the battery life and also improving the safety of system operation. By applying the braking energy recovery mechanism, energy that might have been wasted is effectively utilized, thereby reducing overall energy consumption and operating costs. Through a precise power allocation strategy based on working conditions, it ensures that a good operating state can be maintained under various complex conditions, thereby enhancing the reliability and stability of the vehicle. By utilizing advanced path planning and prediction technology, the vehicle can automatically adjust its operating mode in a constantly changing working environment, thereby achieving the goals of energy conservation, emission reduction and improved work efficiency.

[0047] Based on the same inventive concept as the above method, the embodiment of the present application also proposes an operation control system of a hybrid mining vehicle, such as Figure 2 FIG. 1 is a schematic diagram of a hybrid mining vehicle operation control system, the system comprising: The acquisition module is used to obtain the battery SOC data of the mining vehicle in real time and compare it with the preset SOC working range to execute the corresponding range extender control instruction; An analysis module, used for acquiring various operating parameter data of the mine car in real time to determine the current operating condition of the mine car; An allocation module is used to determine the required power generation according to the working condition of the mining vehicle, and divide the required power generation into power required for charging and power required for driving based on a preset allocation strategy; The energy recovery module is used to detect the braking signal of the mining vehicle based on the braking sensor and execute the energy recovery strategy to improve the energy utilization efficiency.

[0048] Preferably, the acquisition module is specifically: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

[0049] Preferably, the analysis module is specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

[0050] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling the operation of a hybrid mining vehicle, characterized in that: include: Acquire the battery SOC data of the mining vehicle in real time, and compare it with the preset SOC working range to execute the corresponding range extender control instruction; Acquire various operating parameter data of the mine car in real time to determine the current operating condition of the mine car; Determine the required power generation according to the working condition of the mining vehicle, and divide the required power generation into power required for charging and power required for driving based on a preset allocation strategy; Based on the braking signal of the mining vehicle detected by the braking sensor, an energy recovery strategy is executed to improve energy utilization efficiency.

2. The method according to claim 1, characterized in that The real-time acquisition of the battery SOC data of the mining vehicle and the comparison with the preset SOC working range to execute the corresponding range extender control instruction are as follows: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

3. The method according to claim 1, characterized in that The real-time acquisition of various operating parameter data of the mine car to determine the current operating condition of the mine car is specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

4. The method according to claim 1, characterized in that The required power generation is determined according to the working condition of the mining vehicle, and the required power generation is divided into the power required for charging and the power required for driving based on a preset allocation strategy, specifically: A preset power demand model is called according to the working condition of the mine car, and the power demand model determines the required power generation according to the current working condition parameter data; Dividing the required generated power into power required for charging and power required for driving based on a preset allocation strategy; The generated power is distributed to battery charging and drive motors through a power distributor, and the currents of the batteries and the drive motors are monitored in real time to ensure that the distributed power meets the requirements.

5. The method according to claim 4, characterized in that The required power generation is divided into the power required for charging and the power required for driving based on the preset allocation strategy, specifically: assigning different weights to the power required for charging and the power required for driving based on the allocation strategy; The weight of the charging required power decreases as the battery SOC data increases; If the weight of the power required for charging is greater than the weight of the power required for driving, the battery charging power is increased first, otherwise, the driving motor power is increased first.

6. The method according to claim 1, characterized in that The braking sensor detects the braking signal of the mining vehicle and executes an energy recovery strategy to improve energy utilization efficiency, specifically: When the brake sensor detects a brake signal of the mining vehicle, the kinetic energy generated by the brake is converted into electrical energy through a DC / DC converter and stored in the battery; The charging state of the battery is monitored in real time to prevent the battery from being overcharged.

7. The method according to claim 1, characterized in that Also includes: Obtaining the current location information of the mine car through GPS positioning; Determine the preset driving route of the mining vehicle according to the map data combined with the driving path prediction model; Predicting the working conditions on the future driving path, including slope and distance, based on the current location information and the preset driving route; The SOC operating range is dynamically adjusted according to the prediction result.

8. A hybrid mining car operation control system, characterized in that: include: The acquisition module is used to obtain the battery SOC data of the mining vehicle in real time and compare it with the preset SOC working range to execute the corresponding range extender control instruction; An analysis module, used for acquiring various operating parameter data of the mine car in real time to determine the current operating condition of the mine car; An allocation module is used to determine the required power generation according to the working condition of the mining vehicle, and divide the required power generation into power required for charging and power required for driving based on a preset allocation strategy; The energy recovery module is used to detect the braking signal of the mining vehicle based on the braking sensor and execute the energy recovery strategy to improve the energy utilization efficiency.

9. The system according to claim 8, characterized in that The acquisition module is specifically: Determining a first threshold and a second threshold based on a preset SOC working range, wherein the first threshold is slightly higher than a minimum value of the SOC working range, and the second threshold is slightly lower than a maximum value of the SOC working range; When the battery SOC data is less than the first threshold, the range extender is started and power generation begins; When the battery SOC data is greater than the second threshold, reducing the power generation power of the range extender; When the battery SOC data is greater than the maximum value of the SOC working range, the range extender is turned off.

10. The system according to claim 8, characterized in that The analysis module is specifically: Acquire various working condition parameter data of the mining vehicle in real time through various working condition sensors, including load data, slope data and vehicle speed data; The operating parameter data is received and analyzed by a central control unit to determine the current operating conditions of the mine car, including empty, loaded, fully loaded, flat road, uphill and downhill.

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