A start-up control method and system for a hybrid mine car range extender

Abstract

The present invention relates to the field of hybrid mine cars, and discloses a start-up control method and system for a hybrid mine car range extender, the method comprising: obtaining battery status data, ambient temperature and load data of the mine car in real time; based on a preset mine car status analysis strategy, determining the health status of the battery, the range of the ambient temperature and the load condition of the mine car according to the real-time battery status data, ambient temperature and load data; based on a preset threshold adjustment strategy, adjusting the SOC start threshold of the mine car accordingly according to the health status of the battery, the range of the ambient temperature and the load condition; obtaining the real-time SOC data of the battery, if the real-time SOC data is not less than the SOC start threshold, starting by reverse-dragging the engine by the generator, and if the real-time SOC data is less than the SOC start threshold, starting by starting the motor. The present invention monitors the battery status, ambient temperature and load information of the mine car in real time, and dynamically adjusts the SOC start threshold, thereby optimizing the start process.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid power mining vehicles, and in particular to a startup control method and system for a hybrid power mining vehicle range extender. Background Art

[0002] With the continuous development of mining operations, the demand for mining equipment, especially mining vehicles, is growing. As an energy-saving and environmentally friendly vehicle, hybrid mining vehicles can reduce operating costs while also reducing environmental pollution, so they have received widespread attention.

[0003] However, hybrid mine trucks face many challenges during the startup process, especially under extreme conditions (such as low temperature environment, high load, etc.), where fluctuations in battery performance may affect the normal startup of the mine truck. Traditional startup methods often rely on a fixed SOC (State of Charge) threshold. This single standard is difficult to adapt to the changing working environment, resulting in low startup efficiency or even failure to start. Therefore, a more intelligent and reliable startup control method is needed to solve these problems. Summary of the invention

[0004] In view of this, the present invention proposes a start-up control method and system for a hybrid mine car range extender, which dynamically adjusts the SOC start-up threshold by real-time monitoring of the battery status, ambient temperature and load information of the mine car, thereby optimizing the start-up process.

[0005] In order to achieve the above-mentioned object, in a first aspect, the present invention provides a method for starting and controlling a hybrid mining vehicle range extender, comprising:

[0006] Acquire the battery status data, ambient temperature and load data of the mining vehicle in real time;

[0007] Based on the preset mine car status analysis strategy, the health status of the battery, the range of the ambient temperature and the load condition of the mine car are determined according to the real-time battery status data, the ambient temperature and the load data;

[0008] Based on a preset threshold adjustment strategy, the SOC start threshold of the mining vehicle is adjusted accordingly according to the health status of the battery, the range of the ambient temperature and the load condition;

[0009] Real-time SOC data of the battery is obtained. If the real-time SOC data is not less than the SOC start threshold, the engine is started by reverse-driving the generator. If the real-time SOC data is less than the SOC start threshold, the engine is started by the starter motor.

[0010] Preferably, the preset mine car state analysis strategy determines the health state of the battery, the range of the ambient temperature and the load condition of the mine car according to the battery state data, the real-time ambient temperature and the load data, specifically:

[0011] The mining vehicle status analysis strategy determines the health status of the battery as good, fair or poor according to the real-time battery status data;

[0012] The mining vehicle state analysis strategy determines whether the ambient temperature interval belongs to a normal temperature interval, a low temperature interval or an extremely low temperature interval according to the real-time ambient temperature;

[0013] The mine car state analysis strategy determines whether the load condition of the mine car is normal load, medium load or heavy load according to the real-time load data.

[0014] Preferably, the preset threshold adjustment strategy is specifically:

[0015] The threshold adjustment strategy includes a first adjustment strategy, a second adjustment strategy and a third adjustment strategy;

[0016] The first adjustment strategy is to maintain the current SOC start threshold;

[0017] The second adjustment strategy is to increase the current SOC start threshold according to a preset first adjustment range;

[0018] The third adjustment strategy is to increase the current SOC start threshold according to a preset second adjustment range;

[0019] The first adjustment amplitude is smaller than the second adjustment amplitude.

[0020] Preferably, the preset threshold adjustment strategy is based on adjusting the SOC start threshold of the mining vehicle according to the health status of the battery, the range of the ambient temperature and the load condition, specifically:

[0021] According to the health states of good state, average state and poor state, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are correspondingly executed;

[0022] According to the ambient temperatures of the normal temperature range, the low temperature range, and the extremely low temperature range, a first adjustment strategy, a second adjustment strategy, and a third adjustment strategy are correspondingly executed;

[0023] According to the load conditions of the general load, the medium load and the heavy load, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are executed accordingly.

[0024] Preferably, the mining vehicle status analysis strategy divides the battery status into good status, general status and poor status, and determines the health status of the battery according to the real-time battery status data, specifically:

[0025] Acquiring various parameter data of the battery, including capacity attenuation data, internal resistance change data, charge and discharge cycle number data, and temperature history record data;

[0026] Convert each of the data into a corresponding score based on a preset conversion strategy;

[0027] According to the influence of each parameter on battery health, a corresponding weight is assigned;

[0028] Determining a comprehensive score of the battery status according to the score and the weight;

[0029] If the comprehensive score is greater than the preset first score line, it is judged to be in good condition; if the comprehensive score is greater than the preset second score line but not greater than the first score line, it is judged to be in average condition; if the comprehensive score is not greater than the second score line, it is judged to be in poor condition.

[0030] Preferably, the data are converted into corresponding scores based on a preset conversion strategy, specifically:

[0031] The corresponding scores of the capacity attenuation parameter, the internal resistance change parameter, the charge and discharge cycle number parameter and the temperature history record parameter all decrease in steps as the data increases;

[0032] The temperature history record parameter data is the number of times the recommended temperature range is exceeded.

[0033] Preferably, the corresponding weights are assigned according to the influence of each parameter on the battery health, specifically:

[0034] The capacity decay parameter has the greatest impact on the battery health, and its corresponding weight is the highest;

[0035] The internal resistance change parameter and the charge and discharge cycle number parameter have the second largest influence on the battery health, and the corresponding weights of the two are the same;

[0036] The temperature history record parameter has the smallest impact on the battery health and has the lowest corresponding weight.

[0037] Preferably, the mining car state analysis strategy divides the ambient temperature into a normal temperature range, a low temperature range and an extremely low temperature range, and determines the range to which the ambient temperature belongs according to the real-time ambient temperature, specifically:

[0038] If the ambient temperature is not less than 0°C, it is determined to be in the normal temperature range;

[0039] If the ambient temperature is not less than -20°C but less than 0°C, it is determined to be in the low temperature range;

[0040] If the ambient temperature is less than -20°C, it is determined to be in the extremely low temperature range.

[0041] Preferably, the mine car state analysis strategy divides the load data into normal load, medium load and heavy load, and determines the load condition of the mine car according to the real-time load data, specifically:

[0042] If the load data is not greater than 30 tons, it is determined to be a normal load;

[0043] If the load data is greater than 30 tons but not greater than 50 tons, it is determined to be a medium load;

[0044] If the load data is greater than 50 tons, it is determined to be a heavy load.

[0045] In a second aspect, the present invention provides a start-up control system for a hybrid mining vehicle range extender, comprising:

[0046] A collection module, used to obtain the battery status data, ambient temperature and load data of the mining vehicle in real time;

[0047] An analysis module, for determining the health status of the battery, the range of the ambient temperature and the load condition of the mine car based on a preset mine car status analysis strategy and according to the real-time battery status data, the ambient temperature and the load data;

[0048] An adjustment module, configured to adjust the SOC start threshold of the mining vehicle accordingly according to the health status of the battery, the range of the ambient temperature and the load condition based on a preset threshold adjustment strategy;

[0049] The starting module is used to obtain the real-time SOC data of the battery. If the real-time SOC data is not less than the SOC starting threshold, the engine is started by reverse-driving the generator, otherwise, the engine is started by the starter motor.

[0050] The embodiment of the present application discloses a start-up control method and system for a hybrid mine car range extender. The method obtains the battery status data, ambient temperature and load data of the mine car in real time, and combines the preset mine car status analysis strategy to dynamically evaluate the battery health status, ambient temperature range and mine car load, ensure that the start threshold matches the actual working condition, and improve the adaptability and flexibility of the start system; based on the dynamically adjusted SOC start threshold, the mine car can be started smoothly even in harsh environments. For example, in a low temperature environment, appropriately increasing the SOC start threshold can avoid start failures caused by a decrease in battery capacity, and in high load conditions, a reasonable setting of the threshold helps prevent damage caused by excessive starting current; according to different start conditions, the most appropriate start mode (generator reverse drag engine or starter motor start) is selected, which not only ensures the start success rate, but also effectively saves energy and extends the battery life; the entire start control process is highly automated, and parameter detection, analysis and judgment and threshold adjustment can be completed without human intervention, which greatly simplifies the operation process and improves work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] 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:

[0052] Figure 1 A flowchart of a method for starting and controlling a hybrid mining vehicle range extender provided by an embodiment of the present invention;

[0053] Figure 2 A schematic structural diagram of a start-up control system for a hybrid mining vehicle range extender provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides a method for starting and controlling a hybrid mining vehicle range extender. Specifically, the method includes the following steps:

[0056] Step S101, obtaining the battery status data, ambient temperature and load data of the mining vehicle in real time.

[0057] As mentioned above, the sensors and monitoring equipment installed on the battery pack collect battery status data in real time, including but not limited to key parameters such as battery voltage, current, temperature, remaining capacity (SOC), and health status (SOH). The ambient temperature is measured and recorded in real time by the temperature sensor. Changes in ambient temperature will affect the chemical reaction rate and internal resistance of the battery, which in turn affects the output power and starting ability of the battery. The load data is measured and recorded in real time by the weighing sensor. The load data can help the system evaluate the starting requirements of the mine car and ensure sufficient energy support during the starting process.

[0058] For example, the mine car sensor collects battery voltage, current and temperature data once a second and transmits the data to the central processing unit via the CAN bus. The mine car external temperature sensor records the ambient temperature once a minute and uses this data for subsequent temperature range judgment and start-up threshold adjustment. The mine car weighing sensor monitors and records the load data in real time. The system will evaluate the mine car's start-up requirements based on this load data and select the appropriate start-up method.

[0059] It should be noted that in a specific implementation scenario, on the basis of the above-mentioned solution, an integrated application solution of multiple sensors can be adopted, that is, in addition to the basic battery status, ambient temperature and load data, more sensors can be integrated, such as humidity sensors, vibration sensors, etc., to more comprehensively monitor the operating status of the mine car; a redundant data transmission and storage solution can be adopted, that is, in order to ensure the integrity and reliability of the data, redundant data transmission channels and storage mechanisms can be adopted, for example, using dual CAN buses to transmit data and storing data locally and in the cloud at the same time; an intelligent data processing solution can be adopted, that is, introducing artificial intelligence and machine learning algorithms to perform intelligent analysis and prediction on the collected data, for example, through historical data training models to predict the future status and potential failures of the battery. The above optional solutions all fall within the scope of protection of this application.

[0060] Step S102, based on a preset mining car status analysis strategy, according to the real-time battery status data, the ambient temperature and the load data, determine the health status of the battery, the range of the ambient temperature and the load condition of the mining car.

[0061] As mentioned above, the mine car status analysis strategy is a set of pre-set rules and algorithms for evaluating the current status of the mine car based on the collected data. The mine car status analysis strategy processes and analyzes the battery status data, ambient temperature and load data through preset analysis models and thresholds to obtain corresponding evaluation results. The battery health status refers to the overall performance and service life of the battery, which is usually evaluated by multiple parameters; the ambient temperature range refers to the categories divided according to different ranges of ambient temperature; the mine car load condition refers to the weight of the cargo currently loaded in the mine car.

[0062] It should be noted that in a specific implementation scenario, on the basis of the above-mentioned scheme, a dynamic adjustment analysis strategy scheme can be adopted, that is, the mine car status analysis strategy can be dynamically adjusted according to the mine car's usage history and maintenance records. For example, if a mine car often operates in a high temperature environment, the weight of the temperature history record parameter can be increased; a more parameter integration scheme can be adopted, that is, in addition to the existing battery status data, ambient temperature and load data, other relevant parameters can also be integrated, such as the mine car's speed, acceleration, driving distance, etc., to more comprehensively evaluate the mine car's operating status; a machine learning algorithm scheme can be introduced, that is, a machine learning algorithm is used to conduct in-depth analysis of the collected data, automatically identify and classify the status of the mine car, for example, by training the model with historical data, the battery's health status and ambient temperature range can be predicted. The above optional schemes all fall within the scope of protection of this application.

[0063] Step S103: Based on a preset threshold adjustment strategy, the SOC start threshold of the mining vehicle is adjusted accordingly according to the health status of the battery, the range of the ambient temperature, and the load condition.

[0064] As mentioned above, the threshold adjustment strategy is a set of rules that dynamically adjusts the battery state of charge (SOC) required for starting according to the current status of the mine car (battery health status, ambient temperature range, load conditions). Through the preset adjustment strategy, according to different state combinations, the appropriate adjustment strategy is selected to modify the SOC starting threshold to ensure that the mine car can start with the optimal SOC under different working conditions, thereby improving the success rate and efficiency of starting.

[0065] For example, suppose the health status of a minecart battery is assessed as fair, and the current SOC start threshold is 30%. According to the preset first adjustment (increase by 5%), the new SOC start threshold is adjusted to 35%. Suppose a minecart is running at an ambient temperature of -15°C, and the current SOC start threshold is 30%. According to the preset first adjustment (increase by 5%), the new SOC start threshold is adjusted to 35%. Suppose a minecart is currently loaded with 45 tons of ore, and the current SOC start threshold is 30%. According to the preset first adjustment (increase by 5%), the new SOC start threshold is adjusted to 35%.

[0066] It should be noted that in a specific implementation scenario, an adaptive adjustment strategy can be adopted on the basis of the above scheme, that is, an adaptive adjustment strategy is introduced to dynamically adjust the threshold adjustment strategy according to the historical operation data and startup records of the mine car. For example, if the system detects that the startup success rate is high under certain specific conditions, the adjustment range can be appropriately reduced; a user-defined adjustment strategy can be adopted, that is, the user is allowed to customize the threshold adjustment strategy according to the specific application scenarios and needs of the mine car. For example, the user can set different adjustment ranges and condition combinations in the system. This user-defined function can improve the flexibility and applicability of the system and meet the personalized needs of different users. The above optional schemes all fall within the protection scope of this application.

[0067] Step S104, obtaining real-time SOC data of the battery, if the real-time SOC data is not less than the SOC start threshold, starting the engine by reverse-driving the generator, if the real-time SOC data is less than the SOC start threshold, starting the engine by the starter motor.

[0068] As mentioned above, the SOC data of the battery is collected in real time through the sensors installed in the battery management system (BMS), and the data is sent to the central processing unit through the data transmission module to ensure that the central processing unit can obtain the current state of charge of the battery in real time and provide a basis for the start-up decision. The SOC start threshold refers to the minimum SOC value required to start the mine car, which is dynamically adjusted according to the current state of the mine car (battery health status, ambient temperature, load conditions). The central processing unit compares the SOC data obtained in real time with the current SOC start threshold to ensure that the battery has sufficient energy support during the start process to avoid start failure due to insufficient energy. The generator drives the motor, and the motor drives the engine to rotate to start the engine. It is suitable for situations where the battery SOC is high, and the battery energy can be fully utilized to reduce the burden on the starter motor. The starter motor directly drives the engine to rotate to start the engine. It is suitable for situations where the battery SOC is low, with fast start speed and high reliability.

[0069] For example, suppose the current SOC of a mine car battery is 35%, and the current SOC start threshold is 30%. The central processing unit compares the real-time SOC data (35%) with the SOC start threshold (30%) and finds that 35% ≥ 30%. Since the real-time SOC data (35%) is not less than the SOC start threshold (30%), the system chooses to start the mine car by reverse-driving the engine through the generator; if the real-time SOC data is 25%, which is lower than the SOC start threshold of 30%, the system chooses to start the mine car through the starter motor.

[0070] It should be noted that, in a specific implementation scenario, a combination of multiple starting modes can be adopted on the basis of the above scheme, that is, in some cases, a combination of multiple starting modes can be adopted to improve the success rate of starting. For example, when the SOC is slightly higher than the starting threshold, the engine can be started by reverse dragging the generator first, and if the start fails, it can be started by the starter motor. This combination of multiple starting modes can provide more reliable starting guarantees to ensure that the mine car can start smoothly under various conditions; adopt a preheating treatment scheme before starting, that is, before starting, according to the ambient temperature and battery status, appropriate preheating treatment is performed. For example, in a low temperature environment, the battery can be preheated by a heating device to improve the battery performance. This preheating treatment can improve the performance of the battery under low temperature conditions and improve the success rate of starting; adopt a performance monitoring scheme after starting, that is, after the start is successful, continue to monitor the SOC and other key parameters of the battery to ensure the stability of the performance of the mine car during operation. If the battery SOC drops rapidly or other abnormal conditions are found, an alarm is issued in time and corresponding measures are taken to ensure that potential problems are discovered in time to prevent midway parking or failures caused by battery performance degradation. The above optional schemes all belong to the protection scope of this application.

[0071] In some embodiments of the present application, in order to accurately evaluate the health status of the battery, the range of the ambient temperature, and the load of the mine car based on the real-time collected data, a reliable basis is provided for the subsequent adjustment of the start threshold. Based on the preset mine car state analysis strategy, the health status of the battery, the range of the ambient temperature, and the load data are determined according to the battery state data, the real-time ambient temperature, and the load data, specifically:

[0072] The mining vehicle status analysis strategy determines the health status of the battery as good, fair or poor according to the real-time battery status data;

[0073] The mining vehicle state analysis strategy determines whether the ambient temperature interval belongs to a normal temperature interval, a low temperature interval or an extremely low temperature interval according to the real-time ambient temperature;

[0074] The mine car state analysis strategy determines whether the load condition of the mine car is normal load, medium load or heavy load according to the real-time load data.

[0075] As mentioned above, the preset mine car status analysis strategy determines the health status of the battery based on the real-time battery status data, specifically any one of the three conditions: good condition, general condition, and poor condition; the preset mine car status analysis strategy determines the range of the ambient temperature based on the real-time ambient temperature, specifically any one of the three conditions: normal temperature range, low temperature range, and extremely low temperature range; the preset mine car status analysis strategy determines the load condition of the mine car based on the real-time load data, specifically any one of the three conditions: general load, moderate load, and heavy load.

[0076] In some embodiments of the present application, in order to dynamically adjust the SOC startup threshold to ensure that the mine car can be started with the optimal SOC under different working conditions and improve the success rate and efficiency of startup, the preset threshold adjustment strategy is specifically:

[0077] The threshold adjustment strategy includes a first adjustment strategy, a second adjustment strategy and a third adjustment strategy;

[0078] The first adjustment strategy is to maintain the current SOC start threshold;

[0079] The second adjustment strategy is to increase the current SOC start threshold according to a preset first adjustment range;

[0080] The third adjustment strategy is to increase the current SOC start threshold according to a preset second adjustment range;

[0081] The first adjustment amplitude is smaller than the second adjustment amplitude.

[0082] As described above, when the battery's health state, ambient temperature range, and mine car's load condition are all in good condition, the first adjustment strategy is executed, that is, the current SOC start threshold is kept unchanged; when the battery's health state, ambient temperature range, or mine car's load condition are in normal condition, the second adjustment strategy is executed, that is, the current SOC start threshold is increased according to the preset first adjustment range; when the battery's health state, ambient temperature range, or mine car's load condition are in poor condition, the third adjustment strategy is executed, that is, the current SOC start threshold is increased according to the preset second adjustment range. The first adjustment range is usually small, used to cope with the start demand under normal condition; the second adjustment range is large, used to cope with the start demand under poor condition.

[0083] In some embodiments of the present application, in order to ensure that the mine car can be started with the optimal SOC under different working conditions and improve the success rate and efficiency of the startup, based on the preset threshold adjustment strategy, the SOC startup threshold of the mine car is adjusted accordingly according to the health status of the battery, the range of the ambient temperature and the load condition, specifically:

[0084] According to the health states of good state, average state and poor state, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are correspondingly executed;

[0085] According to the ambient temperatures of the normal temperature range, the low temperature range, and the extremely low temperature range, a first adjustment strategy, a second adjustment strategy, and a third adjustment strategy are correspondingly executed;

[0086] According to the load conditions of the general load, the medium load and the heavy load, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are executed accordingly.

[0087] As described above, if the battery health status is evaluated as good, the current SOC start threshold is maintained unchanged; if the battery health status is evaluated as fair, the current SOC start threshold is increased by a preset first adjustment range; if the battery health status is evaluated as poor, the current SOC start threshold is increased by a preset second adjustment range. If the ambient temperature is in the normal temperature range, the current SOC start threshold is maintained unchanged; if the ambient temperature is in the low temperature range, the current SOC start threshold is increased by a preset first adjustment range; if the ambient temperature is in the extremely low temperature range, the current SOC start threshold is increased by a preset second adjustment range. If the load of the mine car is within the general load range, the current SOC start threshold is maintained unchanged; if the load of the mine car is within the medium load range, the current SOC start threshold is increased by a preset first adjustment range; if the load of the mine car is within the heavy load range, the current SOC start threshold is increased by a preset second adjustment range.

[0088] In some embodiments of the present application, in order to accurately evaluate the health status of the battery based on the real-time collected battery status data, and provide a reliable basis for the subsequent start-up threshold adjustment, the mining car status analysis strategy divides the battery status into good status, general status and poor status, and determines the health status of the battery based on the real-time battery status data, specifically:

[0089] Acquiring various parameter data of the battery, including capacity attenuation data, internal resistance change data, charge and discharge cycle number data, and temperature history record data;

[0090] Convert each of the data into a corresponding score based on a preset conversion strategy;

[0091] According to the influence of each parameter on battery health, a corresponding weight is assigned;

[0092] Determining a comprehensive score of the battery status according to the score and the weight;

[0093] If the comprehensive score is greater than the preset first score line, it is judged to be in good condition; if the comprehensive score is greater than the preset second score line but not greater than the first score line, it is judged to be in average condition; if the comprehensive score is not greater than the second score line, it is judged to be in poor condition.

[0094] As described above, the various parameter data of the battery are obtained, including: capacity attenuation data, which is used to reflect the degree of decrease of the battery capacity relative to the capacity of a new battery; internal resistance change data, which is used to reflect the change of the internal resistance of the battery; charge and discharge cycle number data, which is used to record the number of charge and discharge cycles that the battery has completed; temperature history record data, which is used to record the number of times the battery exceeds the recommended temperature range during use. Based on the preset conversion strategy, each data is converted into a corresponding score. According to the degree of influence of each parameter on the health of the battery, a corresponding weight is assigned, wherein the capacity attenuation parameter has the greatest influence on the health of the battery, the internal resistance change parameter and the charge and discharge cycle number parameter have the second greatest influence on the health of the battery, and the temperature history record parameter has the least influence on the health of the battery. According to the score and weight, the comprehensive score of the battery state is calculated and compared with the preset score line. If the comprehensive score is greater than the preset first score line, it is determined to be in good condition; if the comprehensive score is greater than the preset second score line but not greater than the first score line, it is determined to be in general condition; if the comprehensive score is not greater than the second score line, it is determined to be in poor condition.

[0095] In some embodiments of the present application, in order to convert various parameter data of the battery into corresponding scores, and provide a basis for subsequent comprehensive score calculation and health status assessment, each of the data is converted into a corresponding score based on a preset conversion strategy, specifically:

[0096] The corresponding scores of the capacity attenuation parameter, the internal resistance change parameter, the charge and discharge cycle number parameter and the temperature history record parameter all decrease in steps as the data increases;

[0097] The temperature history record parameter data is the number of times the recommended temperature range is exceeded.

[0098] As mentioned above, in the capacity decay data, the greater the capacity decay, the lower the score, and the following scoring rules are set: capacity decay ≤ 10%, the score is 100; 10% < capacity decay ≤ 20%, the score is 80; 20% < capacity decay ≤ 30%, the score is 60; capacity decay > 30%, the score is 40. In the internal resistance change data, the greater the internal resistance change, the lower the score, and the following scoring rules are set: internal resistance change ≤ 5%, the score is 100; 5% < internal resistance change ≤ 10%, the score is 80; 10% < internal resistance change ≤ 15%, the score is 60; internal resistance change > 15%, the score is 40. In the charge and discharge cycle data, the more charge and discharge cycles, the lower the score, and the following scoring rules are set: charge and discharge cycle ≤ 500 times, score 100; 500 times < charge and discharge cycle ≤ 1000 times, score 80; 1000 times < charge and discharge cycle ≤ 1500 times, score 60; charge and discharge cycle > 1500 times, score 40. In the temperature history record data, the more times the recommended temperature range is exceeded, the lower the score, and the following scoring rules are set: the number of times the recommended temperature range is exceeded is ≤ 10 times, score 100; 10 times < the number of times the recommended temperature range is exceeded is ≤ 20 times, score 80; 20 times < the number of times the recommended temperature range is exceeded is ≤ 30 times, score 60; the number of times the recommended temperature range is exceeded is > 30 times, score 40.

[0099] In some embodiments of the present application, in order to reasonably evaluate the comprehensive health status of the battery according to the influence of each parameter on the battery health, and provide a scientific basis for the subsequent adjustment of the start threshold, the corresponding weight is assigned according to the influence of each parameter on the battery health, specifically:

[0100] The capacity decay parameter has the greatest impact on the battery health, and its corresponding weight is the highest;

[0101] The internal resistance change parameter and the charge and discharge cycle number parameter have the second largest influence on the battery health, and the corresponding weights of the two are the same;

[0102] The temperature history record parameter has the smallest impact on the battery health and has the lowest corresponding weight.

[0103] As mentioned above, the capacity decay parameter reflects the degree of decrease in battery capacity relative to the capacity of a new battery. The greater the capacity decay, the less available energy the battery has, and the greatest impact on battery health. Therefore, the weight of the capacity decay parameter can be set to 0.3. The internal resistance change parameter reflects the change in the internal resistance of the battery. The greater the internal resistance change, the higher the internal resistance of the battery, which affects the battery's charge and discharge efficiency and performance. Therefore, the weight of the internal resistance change parameter can be set to 0.25. The charge and discharge cycle number parameter records the number of charge and discharge cycles that the battery has completed. The more charge and discharge cycles, the higher the degree of battery aging, which affects the battery's life and performance. Therefore, the weight of the charge and discharge cycle number parameter can be set to 0.25. The temperature history record parameter records the number of times the battery exceeds the recommended temperature range during use. The more times it exceeds the recommended temperature range, the higher the risk of thermal damage to the battery, but compared with other parameters, the impact on battery health is small. Therefore, the weight of the temperature history record parameter can be set to 0.2.

[0104] In some embodiments of the present application, in order to accurately determine the interval to which the current ambient temperature belongs, a reliable basis is provided for the subsequent adjustment of the start threshold. The mining car state analysis strategy divides the ambient temperature into a normal temperature interval, a low temperature interval, and an extremely low temperature interval, and determines the interval to which the ambient temperature belongs based on the real-time ambient temperature, specifically:

[0105] If the ambient temperature is not less than 0°C, it is determined to be in the normal temperature range;

[0106] If the ambient temperature is not less than -20°C but less than 0°C, it is determined to be in the low temperature range;

[0107] If the ambient temperature is less than -20°C, it is considered to be in the extremely low temperature range.

[0108] As described above, the ambient temperature data is acquired in real time. If the ambient temperature is not lower than 0°C, it is determined to be in the normal temperature range. For example, if the ambient temperature is 5°C, it is determined to be in the normal temperature range. If the ambient temperature is between -20°C and 0°C (including -20°C and excluding 0°C), it is determined to be in the low temperature range. For example, if the ambient temperature is -15°C, it is determined to be in the low temperature range. If the ambient temperature is lower than -20°C, it is determined to be in the extremely low temperature range. For example, if the ambient temperature is -25°C, it is determined to be in the extremely low temperature range.

[0109] In some embodiments of the present application, in order to accurately determine the current load condition of the mine car and provide a reliable basis for the subsequent adjustment of the start threshold, the mine car state analysis strategy divides the load data into general load, medium load and heavy load, and determines the load condition of the mine car according to the real-time load data, specifically:

[0110] If the load data is not greater than 30 tons, it is determined to be a normal load;

[0111] If the load data is greater than 30 tons but not greater than 50 tons, it is determined to be a medium load;

[0112] If the load data is greater than 50 tons, it is determined to be a heavy load.

[0113] As described above, the load data of the mine car is obtained in real time. If the load data does not exceed 30 tons (including 30 tons), it is determined to be a general load. For example, if the current load of the mine car is 25 tons, it is determined to be a general load; if the load data is between 30 tons and 50 tons (including 30 tons and excluding 50 tons), it is determined to be a medium load. For example, if the current load of the mine car is 40 tons, it is determined to be a medium load; if the load data exceeds 50 tons, it is determined to be a heavy load. For example, if the current load of the mine car is 60 tons, it is determined to be a heavy load.

[0114] Compared with the prior art, the embodiment of the present application discloses a starting control method for a hybrid mine car range extender. The method obtains the battery status data, ambient temperature and load data of the mine car in real time, and combines with the preset mine car status analysis strategy to dynamically evaluate the battery health status, ambient temperature range and mine car load condition, so as to ensure that the starting threshold matches the actual working condition, thereby improving the adaptability and flexibility of the starting system; based on the dynamically adjusted SOC starting threshold, the mine car can be started smoothly even in harsh environments. For example, in a low temperature environment, appropriately increasing the SOC starting threshold can avoid starting failure caused by a decrease in battery capacity, while in a high load condition, a reasonable setting of the threshold helps prevent damage caused by excessive starting current; selecting the most appropriate starting method (generator reverse-drag engine or starter motor start) according to different starting conditions not only ensures the starting success rate, but also effectively saves energy and extends battery life; the entire starting control process is highly automated, and parameter detection, analysis and judgment, and threshold adjustment can be completed without human intervention, which greatly simplifies the operating process and improves work efficiency.

[0115] Based on the same inventive concept as the above method, the embodiment of the present application also proposes a start-up control system for a hybrid mine car range extender, such as Figure 2 The figure is a schematic diagram of the structure of a start-up control system for a hybrid mine car range extender, the system comprising:

[0116] A collection module, used to obtain the battery status data, ambient temperature and load data of the mining vehicle in real time;

[0117] An analysis module, for determining the health status of the battery, the range of the ambient temperature and the load condition of the mine car based on a preset mine car status analysis strategy and according to the real-time battery status data, the ambient temperature and the load data;

[0118] An adjustment module, configured to adjust the SOC start threshold of the mining vehicle accordingly according to the health status of the battery, the range of the ambient temperature and the load condition based on a preset threshold adjustment strategy;

[0119] The starting module is used to obtain the real-time SOC data of the battery. If the real-time SOC data is not less than the SOC starting threshold, the engine is started by reverse-driving the generator, otherwise, the engine is started by the starter motor.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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 A step that specifies a function in one or more boxes.

[0124] 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 startup control method for a hybrid mining vehicle range extender, characterized in that: include: Obtain the battery status data, ambient temperature and load data of the mining vehicle in real time; Based on the preset mine car status analysis strategy, the health status of the battery, the range of the ambient temperature and the load condition of the mine car are determined according to the real-time battery status data, the ambient temperature and the load data; Based on a preset threshold adjustment strategy, the SOC start threshold of the mine car is adjusted accordingly according to the health status of the battery, the range of the ambient temperature and the load condition of the mine car; Real-time SOC data of the battery is obtained. If the real-time SOC data is not less than the SOC start threshold, the engine is started by reverse-driving the generator. If the real-time SOC data is less than the SOC start threshold, the engine is started by the starter motor.

2. The method according to claim 1, characterized in that Based on the preset mine car status analysis strategy, the health status of the battery, the range of the ambient temperature and the load condition of the mine car are determined according to the real-time battery status data, the ambient temperature and the load data, specifically: The mining vehicle status analysis strategy determines the health status of the battery as good, fair or poor according to the real-time battery status data; The mining vehicle state analysis strategy determines whether the ambient temperature interval belongs to a normal temperature interval, a low temperature interval or an extremely low temperature interval according to the real-time ambient temperature; The mine car state analysis strategy determines whether the load condition of the mine car is normal load, medium load or heavy load according to the real-time load data.

3. The method according to claim 2, characterized in that The preset threshold adjustment strategy is specifically: The threshold adjustment strategy includes a first adjustment strategy, a second adjustment strategy and a third adjustment strategy; The first adjustment strategy is to maintain the current SOC start threshold; The second adjustment strategy is to increase the current SOC start threshold according to a preset first adjustment range; The third adjustment strategy is to increase the current SOC start threshold according to a preset second adjustment range; The first adjustment amplitude is smaller than the second adjustment amplitude.

4. The method according to claim 3, characterized in that Based on the preset threshold adjustment strategy, the SOC start threshold of the mine car is adjusted accordingly according to the health status of the battery, the range of the ambient temperature and the load condition of the mine car, specifically: According to the health states of good state, average state and poor state, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are correspondingly executed; According to the ambient temperatures of the normal temperature range, the low temperature range, and the extremely low temperature range, a first adjustment strategy, a second adjustment strategy, and a third adjustment strategy are correspondingly executed; According to the load conditions of the general load, the medium load and the heavy load, a first adjustment strategy, a second adjustment strategy and a third adjustment strategy are executed accordingly.

5. The method according to claim 2, characterized in that The mine car status analysis strategy determines the health status of the battery as good, fair or poor based on the real-time battery status data, specifically: Acquiring data of various parameters of the battery, the parameters including capacity attenuation parameter, internal resistance change parameter, charge and discharge cycle number parameter and temperature history record parameter; Convert the data of each parameter into a corresponding score based on a preset conversion strategy; According to the influence of each parameter on battery health, a corresponding weight is assigned; Determining a comprehensive score of the battery status according to the score and the weight; If the comprehensive score is greater than the preset first score line, it is judged to be in good condition; if the comprehensive score is greater than the preset second score line but not greater than the first score line, it is judged to be in average condition; if the comprehensive score is not greater than the second score line, it is judged to be in poor condition.

6. The method according to claim 5, characterized in that The data of each parameter is converted into a corresponding score based on a preset conversion strategy, specifically: The corresponding scores of the capacity attenuation parameter, the internal resistance change parameter, the charge and discharge cycle number parameter and the temperature history record parameter all decrease in a step-by-step manner as the data increases; The data of the temperature history record parameter is the number of times the recommended temperature range is exceeded.

7. The method according to claim 5, characterized in that According to the influence of each parameter on battery health, the corresponding weight is assigned, specifically: The capacity decay parameter has the greatest impact on the battery health, and its corresponding weight is the highest; The internal resistance change parameter and the charge and discharge cycle number parameter have the second largest influence on the battery health, and the corresponding weights of the two are the same; The temperature history record parameter has the smallest impact on the battery health and has the lowest corresponding weight.

8. The method according to claim 2, characterized in that The mine car state analysis strategy determines whether the ambient temperature range belongs to the normal temperature range, the low temperature range or the extremely low temperature range according to the real-time ambient temperature, specifically: If the ambient temperature is not less than 0°C, it is determined to be in the normal temperature range; If the ambient temperature is not less than -20°C but less than 0°C, it is determined to be in the low temperature range; If the ambient temperature is less than -20°C, it is determined to be in the extremely low temperature range.

9. The method according to claim 2, characterized in that The mine car status analysis strategy determines the load condition of the mine car as normal load, medium load or heavy load according to the real-time load data, specifically: If the load data is not greater than 30 tons, it is determined to be a normal load; If the load data is greater than 30 tons but not greater than 50 tons, it is determined to be a medium load; If the load data is greater than 50 tons, it is determined to be a heavy load.

10. A start-up control system for a hybrid mining vehicle range extender, characterized in that: include: The acquisition module is used to obtain the battery status data, ambient temperature and load data of the mining vehicle in real time; An analysis module, for determining the health status of the battery, the range of the ambient temperature and the load condition of the mine car based on a preset mine car status analysis strategy and according to the real-time battery status data, the ambient temperature and the load data; An adjustment module, configured to adjust the SOC start threshold of the mine car accordingly based on a preset threshold adjustment strategy according to the health status of the battery, the range of the ambient temperature, and the load condition of the mine car; A starting module is used to obtain real-time SOC data of the battery. If the real-time SOC data is not less than the SOC starting threshold, the engine is started by reverse-driving the generator; if the real-time SOC data is less than the SOC starting threshold, the engine is started by the starter motor.

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