Underground explosion-proof electric vehicle chassis system and explosion-proof electric vehicle for mining

Abstract

The invention discloses a chassis system of underground explosion-proof electric vehicles for mining and an explosion-proof electric vehicle, and relates to the technical field of vehicle chassis systems. The chassis system of underground explosion-proof electric vehicles for mining obtains environmental temperature and humidity data in real time through an underground environment monitoring module. Each monitoring module performs a comprehensive safety status check on the explosion-proof battery pack, explosion-proof drive motor and explosion-proof electrical box in combination with the environmental data, and sends the inspection results to the chassis comprehensive monitoring module for unified management and control. It can not only prevent possible failures of the battery, drive motor and electrical box under extreme environmental conditions, but also quickly respond to abnormal conditions, ensure the safe operation of the electric vehicle, improve the overall safety of underground operations, and effectively solve the safety problem of electric vehicles in complex underground environments.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle chassis systems, in particular to an underground explosion-proof electric vehicle chassis system for mining and an explosion-proof electric vehicle. Background Art

[0002] With the continuous development of the mining industry, the frequency of use of underground explosion-proof vehicles has continued to increase, and transportation safety issues have also become an important concern in the industry. At present, most underground explosion-proof vehicles are controlled by drivers, who manipulate the vehicles to achieve actions such as moving forward, stopping, and starting. The design and development of underground explosion-proof electric vehicles for mining needs to meet strict safety technical requirements. These requirements include explosion-proof performance, electrical safety, mechanical safety, fire protection and other aspects to ensure safe operation in the special environment of underground coal mines.

[0003] The existing underground explosion-proof electric vehicle chassis system for mines is not convenient for combining each monitoring module with environmental data to conduct a comprehensive safety status check, and is not convenient for unified management and control. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a chassis system for underground explosion-proof electric vehicles for mining and an explosion-proof electric vehicle, which solves the problem that the existing chassis system for underground explosion-proof electric vehicles for mining is inconvenient to combine each monitoring module with environmental data for comprehensive safety status inspection and inconvenient for unified management and control.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a chassis system for underground explosion-proof electric vehicles for mining, including an underground environment monitoring module, an explosion-proof battery pack monitoring module, an explosion-proof drive motor monitoring module, an explosion-proof electrical box monitoring module and a chassis comprehensive monitoring module, wherein: the underground environment monitoring module is used to obtain environmental data of the location of the underground explosion-proof electric vehicle for mining, and the environmental data includes ambient temperature and ambient humidity; the explosion-proof battery pack monitoring module is used to perform a safety status check on the explosion-proof battery pack of the electric vehicle in combination with the environmental data, and send the battery inspection results to the chassis comprehensive monitoring module, and the battery inspection results include battery sealing box failure, battery pack temperature abnormality and battery pack temperature The degree is normal; the explosion-proof drive motor monitoring module is used to perform a safety status check on the explosion-proof drive motor of the electric vehicle in combination with the environmental data, and send the motor inspection result to the chassis comprehensive monitoring module, and the motor inspection result includes the motor air tightness failure, the motor temperature is abnormal, and the motor temperature is normal; the explosion-proof electrical box monitoring module is used to perform a safety status check on the explosion-proof electrical box of the electric vehicle in combination with the environmental data, and send the electrical box inspection result to the chassis comprehensive monitoring module, and the electrical box inspection result includes the electrical box air tightness failure, the electrical box temperature is abnormal, and the electrical box temperature is normal; the chassis comprehensive monitoring module is used to control the electric vehicle based on the battery inspection result, the motor inspection result, and the electrical box inspection result.

[0006] Furthermore, the electric vehicle is controlled based on the battery inspection results, the motor inspection results and the electrical box inspection results, including the following steps: if a battery sealing box is unqualified or the battery pack temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if the motor airtightness is unqualified or the motor temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if the electrical box airtightness is unqualified or the electrical box temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if the battery pack temperature is normal, the motor temperature is normal and the electrical box temperature is normal, comprehensive evaluation data is obtained, and the comprehensive evaluation data includes the battery pack temperature coefficient, the motor temperature coefficient and the electrical box temperature coefficient; based on the comprehensive evaluation data, the comprehensive state of the explosion-proof electric vehicle chassis is evaluated to obtain a comprehensive evaluation index, and the comprehensive evaluation index is used to represent the comprehensive temperature state of the explosion-proof electric vehicle chassis.

[0007] Furthermore, the calculation formula of the comprehensive evaluation index is as follows:

[0008] ZHp=α1*Dwx+α2*Qwx+α3*Xwx;

[0009] Wherein, ZHp is the comprehensive evaluation index, Dwx is the battery pack temperature coefficient, Qwx is the motor temperature coefficient, Xwx is the electrical box temperature coefficient, α1 is the weight factor of Dwx set in the database, α2 is the weight factor of Qwx set in the database, and α3 is the weight factor of Xwx set in the database.

[0010] Furthermore, the safety status of the explosion-proof battery pack of the electric vehicle is checked in combination with the environmental data, including the following steps: checking the airtightness of the battery sealing box of the explosion-proof battery pack to determine whether the airtightness is qualified: if the airtightness is unqualified, the battery inspection result sent to the chassis integrated monitoring module is that the battery sealing box is unqualified; if the airtightness is qualified, obtaining the current status data of the battery pack, the current status data of the battery pack includes the current discharge current and the current battery pack radiator wind speed; based on the current status data of the battery pack and the environmental data, obtaining the battery pack temperature reference data, the battery pack temperature reference data includes the parameterized battery average temperature and the battery parameterized temperature distribution data, the battery parameterized temperature distribution data The data includes the parameter temperature of each designated position point of the battery pack; the actual temperature data of the battery pack is obtained, and the battery pack temperature reference data and the actual temperature data of the battery pack are integrated and analyzed to obtain the battery pack temperature coefficient, wherein the actual temperature data of the battery pack includes the actual battery average temperature and the actual battery temperature distribution data, and the actual battery temperature distribution data includes the actual temperature of each designated position point of the battery pack; it is determined whether the battery pack temperature coefficient is greater than the battery pack temperature determination threshold stored in the database: if greater than, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is abnormal; if not greater than, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is normal.

[0011] Further, the obtaining of battery pack temperature reference data based on the battery pack current state data and environmental data comprises the following steps: comparing the battery pack current state data and environmental data with each battery pack state matching data stored in a database to obtain a battery comparison coefficient, wherein the battery pack state matching data comprises a discharge matching current, a battery pack radiator matching wind force, an environmental matching temperature and an environmental matching humidity, and the calculation formula of the battery comparison coefficient is:

[0012] σ d =e |SA-CA|+|SdA-CdA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0013] In the formula, σ d is the battery comparison coefficient, CA is the discharge matching current, CdA is the battery pack radiator matching wind force, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SA is the current discharge current, SdA is the current battery pack radiator wind force, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant;

[0014] The battery pack state matching data corresponding to the minimum battery comparison coefficient is obtained and the battery pack temperature reference data stored in the database is corresponding.

[0015] Furthermore, a safety status check is performed on the explosion-proof drive motor of the electric vehicle in combination with the environmental data, including the following steps: an airtightness check is performed on the explosion-proof drive motor housing to determine whether the airtightness is qualified: if the airtightness is unqualified, the motor inspection result sent to the chassis comprehensive monitoring module is that the motor airtightness is unqualified; if the airtightness is qualified, the current state data of the drive motor is obtained, and the current state data of the drive motor includes the current motor speed and the current motor radiator wind force; based on the current state data of the drive motor and the environmental data, the motor temperature reference data is obtained, and the motor temperature reference data includes the parameterized motor average temperature and the motor parameterized temperature distribution data, and the motor parameterized temperature The temperature distribution data includes the reference temperature of each designated position point of the motor; the actual temperature data of the motor is obtained, and the motor temperature reference data is integrated and analyzed with the actual temperature data of the motor to obtain the motor temperature coefficient, wherein the actual temperature data of the motor includes the actual average temperature of the motor and the actual temperature distribution data of the motor, and the actual temperature distribution data of the motor includes the actual temperature of each designated position point of the motor; it is determined whether the motor temperature coefficient is greater than the drive motor temperature determination threshold stored in the database: if greater than, the motor inspection result sent to the chassis comprehensive monitoring module is that the motor temperature is abnormal; if not greater than, the motor inspection result sent to the chassis comprehensive monitoring module is that the motor temperature is normal.

[0016] Further, the motor temperature reference data is obtained based on the current state data and environmental data of the driving motor, including the following steps: the current state data and environmental data of the driving motor are compared with each motor state matching data stored in the database to obtain the motor comparison coefficient, the motor state matching data includes the motor matching speed, the motor radiator matching wind force, the environment matching temperature and the environment matching humidity, and the calculation formula of the motor comparison coefficient is:

[0017] σ q =e |SZ-CZ+|SqA-CqA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0018] In the formula, σ q is the motor comparison coefficient, CZ is the motor matching speed, CqA is the motor radiator matching wind force, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SZ is the current motor speed, SqA is the current motor radiator wind force, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant;

[0019] The motor state matching data corresponding to the minimum motor comparison coefficient is obtained and the motor temperature reference data stored in the database corresponds to the motor temperature reference data.

[0020] Furthermore, the safety status of the explosion-proof electrical box of the electric vehicle is checked in combination with the environmental data, including the following steps: performing an air-tightness check on the electrical box of the explosion-proof electrical box to determine whether the air-tightness is qualified: if the air-tightness is unqualified, the electrical box inspection result sent to the chassis comprehensive monitoring module is that the air-tightness of the electrical box is unqualified; if the air-tightness is qualified, obtaining the current status data of the electrical box, the current status data of the electrical box includes the current IGBT average current and the current electrical box radiator wind force; obtaining the electrical box temperature reference data based on the electrical box current status data and the environmental data, the electrical box temperature reference data includes the set electrical box average temperature and the electrical box set temperature distribution data, the electrical box set temperature distribution data The distribution data includes the reference temperature of each designated position point of the electrical box; the actual temperature data of the electrical box is obtained, and the reference temperature data of the electrical box is integrated and analyzed with the actual temperature data of the electrical box to obtain the temperature coefficient of the electrical box, wherein the actual temperature data of the electrical box includes the actual average temperature of the electrical box and the actual temperature distribution data of the electrical box, and the actual temperature distribution data of the electrical box includes the actual temperature of each designated position point of the electrical box; it is determined whether the temperature coefficient of the electrical box is greater than the temperature determination threshold of the electrical box stored in the database: if greater than, the electrical box inspection result sent to the chassis comprehensive monitoring module is that the electrical box temperature is abnormal; if not greater than, the electrical box inspection result sent to the chassis comprehensive monitoring module is that the electrical box temperature is normal.

[0021] Further, the electrical box temperature reference data is obtained based on the current state data and environmental data of the electrical box, including the following steps: comparing the current state data and environmental data of the electrical box with the state matching data of each electrical box stored in the database to obtain the electrical box comparison coefficient, the battery pack state matching data includes the average matching current of IGBT, the matching wind force of the electrical box radiator, the environmental matching temperature and the environmental matching humidity, and the calculation formula of the electrical box comparison coefficient is:

[0022] σ x =e |SX-CX|+|SxA-CxA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0023] In the formula, σ x is the electrical box comparison coefficient, CX is the average matching current of IGBT, CxA is the matching wind speed of the electrical box radiator, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SX is the current IGBT average current, SxA is the current electrical box radiator wind speed, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant;

[0024] The battery pack state matching data corresponding to the smallest electrical box comparison coefficient is obtained and the electrical box temperature reference data stored in the database is corresponding.

[0025] An explosion-proof electric vehicle comprises an electric vehicle chassis and a carriage arranged on the electric vehicle chassis, wherein the electric vehicle chassis comprises a chassis frame, a power supply system, a drive system, an electrical system, a control system and a brake system, and the power supply system, the drive system, the electrical system, the control system and the brake system are all installed on the chassis frame; the control system comprises an underground environment monitoring subsystem, an explosion-proof battery pack monitoring subsystem, an explosion-proof drive motor monitoring subsystem, an explosion-proof electrical box monitoring subsystem and a chassis comprehensive monitoring subsystem, wherein: the underground environment monitoring subsystem is used to obtain environmental data of the underground location of the mining explosion-proof electric vehicle, and the environmental data includes ambient temperature and ambient humidity; the explosion-proof battery pack monitoring subsystem is used to perform a safety status check on the explosion-proof battery pack of the power supply system in combination with the environmental data, and send the battery inspection result to the chassis comprehensive monitoring subsystem. The system comprises a battery inspection result including an unqualified battery sealing box, an abnormal battery pack temperature and a normal battery pack temperature; the explosion-proof drive motor monitoring subsystem is used to perform a safety status inspection on the explosion-proof drive motor of the drive system in combination with environmental data, and send the motor inspection result to the chassis comprehensive monitoring subsystem, and the motor inspection result includes an unqualified motor air tightness, an abnormal motor temperature and a normal motor temperature; the explosion-proof electrical box monitoring subsystem is used to perform a safety status inspection on the explosion-proof electrical box of the electrical system in combination with environmental data, and send the electrical box inspection result to the chassis comprehensive monitoring subsystem, and the electrical box inspection result includes an unqualified electrical box air tightness, an abnormal electrical box temperature and a normal electrical box temperature; the chassis comprehensive monitoring subsystem is used to control the electric vehicle based on the battery inspection result, the motor inspection result and the electrical box inspection result.

[0026] The present invention has the following beneficial effects:

[0027] The underground explosion-proof electric vehicle chassis system and explosion-proof electric vehicle for mining obtain real-time environmental temperature and humidity data through the underground environmental monitoring module. Each monitoring module combines the environmental data to conduct a comprehensive safety status check on the explosion-proof battery pack, explosion-proof drive motor and explosion-proof electrical box, and sends the inspection results to the chassis comprehensive monitoring module for unified management and control. It can not only prevent possible failures of batteries, drive motors and electrical boxes under extreme environmental conditions, but also respond quickly to abnormal conditions to ensure the safe operation of electric vehicles, improve the overall safety of underground operations, and effectively solve the safety issues of electric vehicles in complex underground environments.

[0028] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a flow chart of the chassis system of an underground explosion-proof electric vehicle for mining according to the present invention.

[0030] Figure 2It is an image of the comprehensive evaluation index of the chassis system of the underground explosion-proof electric vehicle for mining of the present invention.

[0031] Figure 3 It is a schematic diagram of the overall structure of the explosion-proof electric vehicle of the present invention.

[0032] Figure 4 It is a schematic diagram of the electric vehicle chassis structure of the explosion-proof electric vehicle of the present invention.

[0033] In the figure, 1, carriage; 2, electric vehicle chassis; 201, chassis frame; 202, power supply system; 203, drive system; 204, electrical system; 205, control system; 206, brake system; DETAILED DESCRIPTION

[0034] See also Figure 1 The embodiment of the present invention provides a technical solution: an underground explosion-proof electric vehicle chassis system for mining, comprising the following steps: an underground environment monitoring module, an explosion-proof battery pack monitoring module, an explosion-proof drive motor monitoring module, an explosion-proof electrical box monitoring module and a chassis comprehensive monitoring module.

[0035] The underground environment monitoring module is used to obtain the environmental data of the location of the mining explosion-proof electric vehicle underground. The environmental data includes the ambient temperature and humidity, which are obtained through the temperature sensor and humidity sensor installed on the chassis. Taking into account the variable environmental factors underground, such as temperature, humidity and other conditions that may affect the performance of the electric vehicle, the system adjustment and protection measures are based on environmental data to ensure that the electric vehicle can operate safely in any environment.

[0036] The explosion-proof battery pack monitoring module is used to check the safety status of the explosion-proof battery pack of the electric vehicle in combination with environmental data, and send the battery inspection results to the chassis comprehensive monitoring module. The battery inspection results include unqualified battery sealing box, abnormal battery pack temperature and normal battery pack temperature.

[0037] The method comprises the following steps: performing an airtightness check on a battery sealing box of an explosion-proof battery pack (by filling a specific inert gas, such as nitrogen, inside the battery sealing box, monitoring the nitrogen content inside the battery sealing box, and if the content is reduced, it indicates that the airtightness is unqualified), and judging whether the airtightness is qualified: if the airtightness is unqualified, the battery inspection result sent to the chassis integrated monitoring module is that the battery sealing box is unqualified; if the airtightness is qualified, obtaining the current state data of the battery pack, the current state data of the battery pack includes the current discharge current and the current battery pack radiator wind force; the current discharge current is measured by using a Hall effect sensor or a current transformer to measure the discharge current of the battery pack, and the current battery pack radiator wind force is measured by installing a wind speed sensor (such as a hot wire anemometer or a mechanical anemometer) at the radiator outlet to measure the speed of the cooling wind.

[0038] The battery pack temperature reference data is obtained based on the current state data and environmental data of the battery pack. The battery pack temperature reference data includes the parameterized battery average temperature and the battery parameterized temperature distribution data. The battery parameterized temperature distribution data includes the parameterized temperature of each designated position point of the battery pack; the battery pack temperature actual data is obtained, and the battery pack temperature reference data is integrated and analyzed with the battery pack temperature actual data to obtain the battery pack temperature coefficient. The battery pack temperature actual data includes the actual battery average temperature (multiple thermocouples or thermistors, such as PT100 or NTC thermistors, are installed inside and on the surface of the battery pack to measure the temperature of each part. The data can be used to calculate the average temperature of the entire battery pack) and the battery actual temperature distribution data. The battery actual temperature distribution data includes the actual temperature of each designated position point of the battery pack (a group of temperature sensors are used and deployed at key positions of the battery pack, such as each single cell and connection part. The data collected by these sensors reflects the temperature distribution at different positions in the battery pack).

[0039] The output of all sensors needs to be integrated through a data acquisition system (such as a PLC or microcontroller system), and the data is transmitted to the central control system or monitoring platform via wired (such as Ethernet, CAN bus) or wireless (such as Wi-Fi, Bluetooth).

[0040] Determine whether the battery pack temperature coefficient is greater than the battery pack temperature determination threshold stored in the database: if greater, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is abnormal; if not, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is normal. The battery pack temperature determination threshold stored in the database can be obtained by analyzing the historical battery pack temperature data. By calculating the statistical indicators of these data such as the mean, standard deviation and extreme value, the temperature range of the battery under normal and abnormal operating conditions can be determined. Based on these analysis results, combined with the safety standards and industry guidance of the battery manufacturer, experts determine a safety threshold and store it in the database. The method for obtaining the electrical box temperature determination threshold and the drive motor temperature determination threshold in the following text is the same as the battery pack temperature determination threshold.

[0041] By continuously monitoring ambient temperature and humidity as well as key indicators of the battery and electrical systems, the system can respond to environmental changes or equipment failures in real time, quickly identify problems and take measures, such as quickly adjusting or stopping the operation of electric vehicles when the battery temperature is abnormal, reducing the possibility of accidents. The explosion-proof characteristics of battery packs, drive motors, and electrical boxes are important safety requirements for underground operations. By monitoring the airtightness and temperature of these components, they are guaranteed to operate under explosion-proof standards. Ensure that even under extreme conditions, these key components will not cause safety problems due to environmental factors such as excessive temperature or humidity.

[0042] The calculation formula of battery pack temperature coefficient is as follows:

[0043]

[0044] Where Dwx is the battery pack temperature coefficient, a is the number of each designated position point of the battery pack, a=1,2,3,…,A, A is the total number of each designated position point of the battery pack, Sdw is the actual average battery temperature, Sd a is the actual temperature of the specified position of the a-th battery pack, Cdw is the average temperature of the reference battery, and Cd a is the parameter temperature of the specified position point of the ath battery pack, and e is a natural constant.

[0045] Reflecting the relative deviation between Sdw and Cdw, an exponential function is used to amplify the impact of temperature differences, because even small average temperature differences may have a significant impact on battery performance and safety. Calculated Sd a with cd a The sum of the absolute differences between the values ​​and the square root of these differences helps assess the consistency and balance of the temperature distribution throughout the battery pack.

[0046] The formula takes into account the overall average temperature deviation of the battery pack and the local temperature differences, both of which are critical to the health and function of the battery. The overall average temperature provides a macro assessment of the effectiveness of the battery thermal management system, while the local temperature differences reveal possible hot or cold spots, which may be a precursor to battery performance degradation or failure.

[0047] Obtaining battery pack temperature reference data based on battery pack current state data and environmental data includes the following steps: comparing the battery pack current state data and environmental data with each battery pack state matching data stored in a database to obtain a battery matching coefficient, the battery pack state matching data including discharge matching current, battery pack radiator matching wind force, environmental matching temperature and environmental matching humidity, obtaining the battery pack state matching data corresponding to the minimum battery matching coefficient and the corresponding battery pack temperature reference data stored in the database.

[0048] The calculation formula of battery comparison coefficient is:

[0049] σ d =e |SA-CA|+|SdA-CdA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0050] In the formula, σ dis the battery comparison coefficient, CA is the discharge matching current, CdA is the battery pack radiator matching wind speed, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SA is the current discharge current, SdA is the current battery pack radiator wind speed, Hsw is the ambient temperature, Hss is the ambient humidity, and e is a natural constant.

[0051] e |SA-CA|+|SdA-CdA| An exponential function is used to amplify the deviation of current and wind force, so that the data group with larger deviation is not considered, and data closer to the current situation is obtained to ensure the accuracy of the data. This is because even small deviations may have a significant impact on the performance and life of the battery. The discharge current and heat dissipation wind force are directly related to the thermal management and energy efficiency of the battery. The ln(|Hsw-Hcw|+|Hss-Hcs|+1) part uses the natural logarithm to reconcile the impact of temperature and humidity deviations. The logarithmic function can maintain the sensitivity of the deviation while avoiding the comparison coefficient caused by extreme values. Adding 1 is to avoid zero deviation causing the logarithmic function to be undefined.

[0052] In the database, a mapping set of battery pack state matching data-battery pack temperature reference data is stored. After the battery pack state matching data is determined by the minimum battery comparison coefficient, the battery pack state matching data is input into the mapping set, and the battery pack temperature reference data corresponding to the battery pack state matching data can be obtained. The mapping set of battery pack state matching data-battery pack temperature reference data is established based on the historically measured battery pack state matching data and the temperature reference data of the corresponding battery pack when it is working normally. First, a large amount of historical data needs to be collected, including the discharge current of the battery, the wind force of the radiator, and the temperature and humidity data of each location point underground and the temperature data of the battery pack when it is working normally. Through some existing data analysis software (MATLAB, Python and its library) or machine learning algorithms, the relationship between the discharge current of the battery, the wind force of the radiator, the temperature and humidity data of each location point underground and the temperature data of the battery pack when it is working normally is analyzed to determine the temperature behavior pattern under different working conditions. Through this analysis, the temperature distribution of the battery under a given battery state is predicted, thereby forming a mapping set for real-time monitoring and prediction of battery performance to ensure that the battery operates within a safe and optimal working range.

[0053] The basis for establishing a mapping set of battery pack state matching data-battery pack temperature reference data is that these factors directly or indirectly affect the battery's thermal management system and are related to each other, thereby determining the temperature performance and overall performance of the battery pack. The larger the discharge current, the more Joule heat is generated through the internal resistance of the battery, causing the battery temperature to rise. Strong radiator wind power helps to more effectively dissipate the heat generated by the battery inside and maintain the battery operating in a lower temperature range. The ambient temperature directly affects the operating efficiency and safety of the battery. High temperatures may cause the battery to overheat, and low temperatures may reduce its discharge capacity. Changes in humidity affect the internal chemical reactions of the battery. Excessive humidity may cause corrosion of the internal components of the battery, reducing the overall performance and life of the battery. These parameters work together on the battery's thermal management system. By monitoring the discharge current and radiator wind power, the battery temperature can be directly controlled and adjusted, while the monitoring of ambient temperature and humidity provides the necessary background information to help optimize the battery management strategy.

[0054] The explosion-proof drive motor monitoring module is used to check the safety status of the explosion-proof drive motor of the electric vehicle in combination with environmental data, and send the motor inspection results to the chassis comprehensive monitoring module. The motor inspection results include motor air tightness failure, abnormal motor temperature, and normal motor temperature;

[0055] The method includes the following steps: checking the air tightness of the explosion-proof drive motor housing (by filling the explosion-proof drive motor housing with a specific inert gas, such as nitrogen, and monitoring the nitrogen content inside the explosion-proof drive motor housing. If the content is reduced, it means that the air tightness is unqualified), and judging whether the air tightness is qualified: if the air tightness is unqualified, the motor inspection result sent to the chassis integrated monitoring module is that the motor air tightness is unqualified; if the air tightness is qualified, obtaining the current state data of the drive motor, which includes the current motor speed (usually measured by a photoelectric sensor, a Hall effect sensor or an electromagnetic sensor) and the current motor radiator wind force (measured by an anemometer installed at the outlet or inlet of the radiator fan). Data such as motor speed and radiator wind force, which reflect the actual operating conditions of the motor, are crucial for evaluating the thermal management and performance of the motor. Ensuring the air tightness and temperature control of the motor can prevent accidents caused by environmental factors, such as explosions or fires, especially in dangerous environments such as underground.

[0056] Based on the current state data and environmental data of the drive motor, the motor temperature reference data is obtained. The motor temperature reference data includes the motor average temperature and the motor temperature distribution data. The motor temperature distribution data includes the motor temperature at each designated position of the motor. The actual motor temperature data is obtained, and the motor temperature reference data is integrated and analyzed with the actual motor temperature data to obtain the motor temperature coefficient, which can evaluate whether the motor is operating normally within its designed temperature range. The actual motor temperature data includes the actual motor average temperature and the motor actual temperature distribution data. The motor actual temperature distribution data includes the actual temperature at each designated position of the motor. The method for obtaining the actual motor temperature data is consistent with the method for obtaining the actual battery pack temperature data. Through this integrated sensor and data acquisition system, the working status and health of the drive motor can be monitored and evaluated in real time to ensure that the motor operates in the best condition while optimizing its performance and life.

[0057] Determine whether the motor temperature coefficient is greater than the drive motor temperature judgment threshold stored in the database: if greater, the motor inspection result sent to the chassis integrated monitoring module is that the motor temperature is abnormal; if not greater, the motor inspection result sent to the chassis integrated monitoring module is that the motor temperature is normal.

[0058] The calculation formula of the motor temperature coefficient is as follows:

[0059]

[0060] Where Qwx is the motor temperature coefficient, b is the number of each designated position of the motor, b = 1, 2, 3, ..., B, B is the total number of each designated position of the motor, Sqw is the actual average temperature of the motor, Sq b is the actual temperature of the bth motor at the specified position, Cqw is the average temperature of the reference motor, Cq b is the parameter temperature of the bth motor specified position point, and e is a natural constant.

[0061] Reflecting the relative deviation between Sqw and Cqw, an exponential function is used to amplify the impact of temperature differences, because even small average temperature differences may have a significant impact on battery performance and safety. Calculated Sq b With Cq b The sum of the absolute differences between the values ​​and the square root of these differences helps assess the consistency and balance of the temperature distribution throughout the motor.

[0062] The formula takes into account the overall average temperature deviation of the motor and the local temperature differences, both of which are critical to the health and function of the motor. The overall average temperature provides a macro assessment of the effectiveness of the battery thermal management system.

[0063] The motor temperature reference data is obtained based on the current state data and environmental data of the driving motor, including the following steps: comparing the current state data and environmental data of the driving motor with the state matching data of each motor stored in a database to obtain a motor comparison coefficient, the motor state matching data including the motor matching speed, the motor radiator matching wind force, the environmental matching temperature and the environmental matching humidity, and obtaining the motor state matching data corresponding to the minimum motor comparison coefficient and the motor temperature reference data stored in the database.

[0064] The calculation formula of the motor comparison coefficient is:

[0065] σ q =e |SZ-CZ|+|SqA-CqA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0066] In the formula, σ q is the motor comparison coefficient, CZ is the motor matching speed, CqA is the motor radiator matching wind force, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SZ is the current motor speed, SqA is the current motor radiator wind force, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant.

[0067] e |SZ-CZ|+|SqA-CqA| An exponential function is used to amplify the deviation of speed and wind force, so that the data group with larger deviation is not considered, and data closer to the current situation is obtained to ensure the accuracy of the data. This is because even a small deviation may have a significant impact on the performance and life of the motor. The speed and cooling wind force are directly related to the thermal management and transmission efficiency of the speed. The ln(|Hsw-Hcw|+|Hss-Hcs|+1) part uses the natural logarithm to reconcile the impact of temperature and humidity deviations. The logarithmic function can maintain the sensitivity of the deviation while avoiding the comparison coefficient caused by extreme values. The addition of 1 is to avoid the logarithmic function being undefined due to zero deviation.

[0068] In the database, a mapping set of motor state matching data-motor temperature reference data is stored, and its establishment process and use process are similar to the mapping set of battery pack state matching data-battery pack temperature reference data mentioned above. The four parameters of motor matching speed, motor radiator matching wind force, environment matching temperature and environment matching humidity are selected to establish a mapping set with motor temperature reference data because these parameters comprehensively reflect the key aspects of the motor operating environment and working state, and have a direct impact on the thermal management and overall health of the motor.

[0069] Speed ​​is one of the main factors that affect motor heat generation. High speed usually leads to more friction and mechanical loss, which increases heat generation. By monitoring the speed, it is possible to predict the temperature level that the motor may reach and ensure that the motor is within the safe operating range. The heat dissipation efficiency directly affects the temperature control of the motor. Appropriate wind force can effectively remove the heat generated by high speed and motor load to prevent the motor from overheating. If the wind force of the radiator is properly matched, it can maintain the motor at the optimal temperature, improve efficiency and extend life. Ambient temperature is crucial to the thermal load management of the motor. High ambient temperature may increase the risk of motor overheating, while low ambient temperature may affect the starting and operating efficiency of the motor. Humidity affects the cooling effect and insulation performance of the motor. A high humidity environment may lead to a weakened cooling effect and increase the risk of insulation failure.

[0070] At high speeds, the heat generated by the motor increases, and stronger wind is needed to maintain the normal temperature of the motor. When the ambient temperature is high, the heat dissipation effect may need to be enhanced, and the wind force of the radiator may need to be adjusted to adapt to environmental changes to keep the motor within a safe temperature range (the wind force of the radiator is related to the temperature of each point inside the motor). Ambient temperature and humidity jointly affect the cooling effect and electrical safety of the motor. When the humidity is high, the cooling effect may be weakened, and the thermal capacity management strategy of the motor needs to take this into account.

[0071] The explosion-proof electrical box monitoring module is used to check the safety status of the explosion-proof electrical box of the electric vehicle in combination with environmental data, and send the inspection results of the electrical box to the chassis comprehensive monitoring module. The inspection results of the electrical box include the electrical box air tightness failure, the electrical box temperature abnormality and the electrical box temperature normal;

[0072] The method includes the following steps: performing an airtightness check on the electrical box of the explosion-proof electrical box (by filling the electrical box with a specific inert gas, such as nitrogen, and monitoring the nitrogen content inside the electrical box. If the content decreases, it means that the airtightness is unqualified), and judging whether the airtightness is qualified. Airtightness is the key to the explosion-proof electrical box, ensuring that the internal components are not affected by the external environment (such as water, dust or corrosive gas). If the airtightness is unqualified, the electrical box inspection result sent to the chassis integrated monitoring module is that the airtightness of the electrical box is unqualified; if the airtightness is qualified, the current status data of the electrical box is obtained, and the current status data of the electrical box includes the current average IGBT current (obtained using a Hall effect sensor or a current transformer) and the current wind speed of the electrical box radiator. Monitoring the average IGBT current and the wind speed of the electrical box radiator helps to evaluate the power consumption and heat dissipation efficiency of the electrical box. These data are directly related to the operating efficiency and temperature control of the electrical box, and are key factors in predicting and controlling the temperature of the electrical box. By ensuring airtightness and controlling the internal temperature, the safety of the electrical box in a potentially explosive environment is significantly improved.

[0073] Based on the current state data and environmental data of the electrical box, the reference data of the electrical box temperature is obtained. The reference data of the electrical box temperature includes the average temperature of the electrical box and the distribution data of the electrical box temperature. The distribution data of the electrical box temperature includes the temperature of each designated position of the electrical box. The actual data of the electrical box temperature is obtained, and the reference data of the electrical box temperature is integrated and analyzed with the actual data of the electrical box temperature to obtain the temperature coefficient of the electrical box, so as to accurately evaluate the thermal state of the electrical box. This method can detect overheating or other related problems at an early stage, allowing timely intervention. The actual data of the electrical box temperature includes the average temperature of the actual electrical box and the distribution data of the actual temperature of the electrical box. The actual temperature distribution data of the electrical box includes the actual temperature of each designated position of the electrical box. The actual data of the electrical box temperature is similar to the above-mentioned acquisition method of the actual data of the battery pack temperature, and is monitored and obtained through thermocouples, thermistors (such as PT100 or NTC thermistors) or infrared sensors.

[0074] Determine whether the electrical box temperature coefficient is greater than the electrical box temperature judgment threshold stored in the database: if greater, the electrical box inspection result sent to the chassis integrated monitoring module is that the electrical box temperature is abnormal; if not greater, the electrical box inspection result sent to the chassis integrated monitoring module is that the electrical box temperature is normal.

[0075] Among them, the calculation formula of the temperature coefficient of the electrical box is as follows:

[0076]

[0077] Where Xwx is the temperature coefficient of the electrical box, f is the number of each designated position of the electrical box, f = 1, 2, 3, ..., F, F is the total number of designated positions of the electrical box, Sxw is the actual average temperature of the electrical box, Sx f is the actual temperature of the specified position of the fth electrical box, Cxw is the average temperature of the reference electrical box, Cx f is the parameter temperature of the specified position point of the fth electrical box, and e is a natural constant.

[0078] It reflects the relative deviation between Sxw and Cxw, and uses an exponential function to amplify the impact of temperature differences, because even small average temperature differences may have a significant impact on battery performance and safety. Calculated Sx f With Cx f The sum of the absolute differences between the values ​​and taking the square root of these differences helps assess the consistency and balance of the temperature distribution throughout the electrical box.

[0079] The formula takes into account the overall average temperature deviation and local temperature differences of the electrical box, both of which are critical to the health and function of the battery. The overall average temperature provides a macro assessment of the effectiveness of the battery thermal management system.

[0080] The electrical box temperature reference data is obtained based on the current state data and environmental data of the electrical box, including the following steps: comparing the current state data and environmental data of the electrical box with the state matching data of each electrical box stored in a database to obtain the electrical box comparison coefficient, the battery pack state matching data includes the IGBT average matching current, the electrical box radiator matching wind force, the environmental matching temperature and the environmental matching humidity, and obtaining the battery pack state matching data corresponding to the minimum electrical box comparison coefficient and the electrical box temperature reference data stored in the database.

[0081] The calculation formula of the electrical box comparison coefficient is:

[0082] σ x =e |SX-CX|+|SxA-CxA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1);

[0083] In the formula, σ x is the electrical box comparison coefficient, CX is the average matching current of IGBT, CxA is the matching wind speed of the electrical box radiator, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SX is the current IGBT average current, SxA is the current electrical box radiator wind speed, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant;

[0084] e |SX-CX|+|SxA-CxA| An exponential function is used to amplify the deviation of IGBT current and wind force, so that the data group with large deviation is not considered, and data closer to the current situation is obtained to ensure the accuracy of the data. This is because even a small deviation may have a significant impact on the performance and life of the electrical box. IGBT current and heat dissipation wind force are directly related to the thermal management of the electrical box. The ln(|Hsw-Hcw|+|Hss-Hcs|+1) part uses natural logarithms to reconcile the impact of temperature and humidity deviations. The logarithmic function can maintain the sensitivity of the deviation while avoiding excessive comparison coefficients caused by extreme values. Adding 1 is to avoid zero deviation causing the logarithmic function to be undefined.

[0085] In the database, a mapping set of electrical box state matching data-electrical box temperature reference data is stored, and its establishment process and use process are similar to the mapping set of battery pack state matching data-battery pack temperature reference data mentioned above. The four parameters of IGBT average matching current, electrical box radiator matching wind force, environment matching temperature and environment matching humidity are selected to establish the mapping set with the electrical box temperature reference data because these parameters comprehensively reflect the key aspects of the working state of the electrical box and have a direct impact on the thermal management and overall health of the electrical box.

[0086] IGBTs (Insulated Gate Bipolar Transistors) are key components in electrical systems and are used primarily for current regulation. IGBTs generate heat when in operation, so monitoring their average current is critical to predicting the amount of heat generated inside the electrical box. The greater the current, the more heat is generated, and the higher the requirements for the cooling system. The airflow of the heat sink is crucial to maintaining the temperature inside the electrical box within a safe range. Sufficiently strong winds can effectively remove the heat generated by the IGBTs and other electrical components from the box to prevent overheating. The ambient temperature directly affects the cooling efficiency of the electrical box. High ambient temperatures can reduce the cooling effect of the heat sink, causing the temperature inside the electrical box to rise, thereby increasing the risk of failure and damage. The impact of humidity on electrical equipment is mainly through its impact on cooling efficiency and the corrosion that may result. High humidity environments can reduce the cooling effectiveness of the air and may cause condensation on the surface of electrical components, increasing the risk of electrical failure.

[0087] The higher the current of the IGBT, the greater its heat dissipation needs. This means that the wind force of the radiator needs to be increased accordingly to cope with the higher heat load. The heat dissipation effect is directly affected by the ambient temperature and humidity. When the temperature is high or the humidity is high, the heat capacity of the air changes, and a stronger cooling wind force may be required to maintain the appropriate temperature inside the electrical box. Changes in ambient temperature and humidity need to be adapted by adjusting the cooling wind force and current operation to maintain the operation of the electrical box within a safe and effective temperature range.

[0088] The chassis integrated monitoring module is used to control the electric vehicle based on the battery inspection results, motor inspection results and electrical box inspection results.

[0089] Specifically, the method includes the following steps: if a battery sealing box is unqualified or the battery pack temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if a motor airtightness is unqualified or the motor temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if an electrical box airtightness is unqualified or the electrical box temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; if a battery pack temperature is normal, a motor temperature is normal, and an electrical box temperature is normal, comprehensive evaluation data is obtained, and the comprehensive evaluation data includes a battery pack temperature coefficient, a motor temperature coefficient, and an electrical box temperature coefficient; based on the comprehensive evaluation data, the comprehensive state of the explosion-proof electric vehicle chassis is evaluated to obtain a comprehensive evaluation index, and the comprehensive evaluation index is used to represent the comprehensive temperature state of the explosion-proof electric vehicle chassis.

[0090] Any detection result of airtight failure or abnormal temperature will trigger a braking signal. This design ensures that the vehicle can stop immediately when any key system shows abnormal parameters to prevent possible safety accidents. When the temperature status of all systems is normal, the chassis comprehensive monitoring module will further analyze and evaluate the temperature coefficients of the battery pack, motor and electrical box, which helps to comprehensively judge the overall operating status and safety level of the vehicle. By calculating a comprehensive evaluation index to measure the overall temperature status of the electric vehicle chassis, the operation and maintenance team can obtain a concise and clear health indicator for daily monitoring and long-term trend analysis.

[0091] The calculation formula of the comprehensive evaluation index is as follows:

[0092] ZHp=α1*Dwx+α2*Qwx+α3*Xwx;

[0093] Wherein, ZHp is the comprehensive evaluation index, Dwx is the battery pack temperature coefficient, Qwx is the motor temperature coefficient, Xwx is the electrical box temperature coefficient, α1 is the weight factor of Dwx set in the database, α2 is the weight factor of Qwx set in the database, and α3 is the weight factor of Xwx set in the database.

[0094] Table 1 Example data of comprehensive evaluation index changing with battery pack temperature coefficient and motor temperature coefficient

[0095] Battery pack temperature coefficient Motor temperature coefficient Electrical box temperature coefficient Comprehensive evaluation index 0.1 0.2 0.1 0.12 0.2 0.4 0.1 0.18 0.3 0.5 0.1 0.22

[0096] In the table, α1, α2 and α3 are 0.2, 0.2 and 0.6 respectively, and the temperature coefficient of the electrical box is set to a constant of 0.1. From the data in Table 1, it can be seen that as the temperature coefficient of the battery pack and the temperature coefficient of the motor increase, the comprehensive evaluation index also increases, indicating that when the temperature state of the battery and the temperature state of the motor deteriorate, the comprehensive state also deteriorates. Figure 2 In the figure, the battery pack temperature coefficient and the motor temperature coefficient both range from 0 to 1, the electrical box temperature coefficient is set to a constant of 0.1, and α1, α2 and α3 are 0.2, 0.2 and 0.6 respectively. It can also be seen that when the battery temperature state and the motor temperature state are deteriorating, the overall state is also deteriorating.

[0097] α1, α2 and α3 can be obtained directly from the database. The database stores α1, α2 and α3 by collecting and analyzing past accident records, maintenance logs and performance data. The impact of the battery pack, motor and electrical box on the overall system safety and stability can be evaluated (multiple linear regression analysis, determining the regression coefficient, and using the regression coefficient directly as a weight factor).

[0098] Explosion-proof electric vehicles, such as Figure 3-Figure 4As shown, it includes an electric vehicle chassis 2 and a carriage 1 arranged on the electric vehicle chassis 2, the electric vehicle chassis 2 includes a chassis frame 201, a power supply system 202, a drive system 203, an electrical system 204, a control system 205 and a brake system 206, and the power supply system 202, the drive system 203, the electrical system 204, the control system 205 and the brake system 206 are all installed on the chassis frame 201; the control system 205 includes an underground environment monitoring subsystem, an explosion-proof battery pack monitoring subsystem, an explosion-proof drive motor monitoring subsystem, an explosion-proof electrical box monitoring subsystem and a chassis comprehensive monitoring subsystem, wherein: the underground environment monitoring subsystem is used to obtain environmental data of the location of the mining explosion-proof electric vehicle underground, and the environmental data includes environmental temperature and environmental humidity; the explosion-proof battery pack monitoring subsystem is used to perform a safety status check on the explosion-proof battery pack of the power supply system 202 in combination with the environmental data, The battery inspection results are sent to the chassis comprehensive monitoring subsystem, and the battery inspection results include battery sealing box failure, abnormal battery pack temperature and normal battery pack temperature; the explosion-proof drive motor monitoring subsystem is used to perform a safety status check on the explosion-proof drive motor of the drive system 203 in combination with environmental data, and send the motor inspection results to the chassis comprehensive monitoring subsystem, and the motor inspection results include motor air tightness failure, abnormal motor temperature and normal motor temperature; the explosion-proof electrical box monitoring subsystem is used to perform a safety status check on the explosion-proof electrical box of the electrical system 204 in combination with environmental data, and send the electrical box inspection results to the chassis comprehensive monitoring subsystem, and the electrical box inspection results include electrical box air tightness failure, abnormal electrical box temperature and normal electrical box temperature; the chassis comprehensive monitoring subsystem is used to control the electric vehicle based on the battery inspection results, motor inspection results and electrical box inspection results.

[0099] An electronic device includes: a processor and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the above-mentioned underground explosion-proof electric vehicle chassis system for mining.

[0100] A computer-readable storage medium is used to store a program, and when the program is executed by a processor, the above-mentioned underground explosion-proof electric vehicle chassis system for mining is implemented.

[0101] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention 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 code.

[0102] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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.

[0103] 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.

[0104] 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 in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0105] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0106] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The chassis system of underground explosion-proof electric vehicles for mining is characterized by: It includes underground environment monitoring module, explosion-proof battery pack monitoring module, explosion-proof drive motor monitoring module, explosion-proof electrical box monitoring module and chassis comprehensive monitoring module, among which: The underground environment monitoring module is used to obtain the environmental data of the location of the mining explosion-proof electric vehicle underground, and the environmental data includes the environmental temperature and the environmental humidity; The explosion-proof battery pack monitoring module is used to check the safety status of the explosion-proof battery pack of the electric vehicle in combination with the environmental data, and send the battery inspection results to the chassis comprehensive monitoring module, and the battery inspection results include unqualified battery sealing box, abnormal battery pack temperature and normal battery pack temperature; Combined with environmental data, the safety status of the explosion-proof battery pack of the electric vehicle is checked, including the following steps: Check the air tightness of the battery sealing box of the explosion-proof battery pack to determine whether the air tightness is qualified: If the airtightness is unqualified, the battery inspection result sent to the chassis integrated monitoring module is that the battery sealing box is unqualified; If the air tightness is qualified, obtaining the current state data of the battery pack, wherein the current state data of the battery pack includes the current discharge current and the current wind force of the battery pack radiator; Obtaining battery pack temperature reference data based on the battery pack current state data and environmental data, wherein the battery pack temperature reference data includes a set battery average temperature and battery set temperature distribution data, wherein the battery set temperature distribution data includes a set temperature at each designated position of the battery pack; Acquire actual temperature data of the battery pack, and fuse and analyze the reference temperature data of the battery pack with the actual temperature data of the battery pack to obtain a temperature coefficient of the battery pack, wherein the actual temperature data of the battery pack includes an actual average temperature of the battery and actual temperature distribution data of the battery, and the actual temperature distribution data of the battery includes the actual temperature of each designated position point of the battery pack; Determine whether the battery pack temperature coefficient is greater than the battery pack temperature determination threshold stored in the database: If it is greater, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is abnormal; If it is not greater than, the battery inspection result sent to the chassis integrated monitoring module is that the battery pack temperature is normal; The method of obtaining the battery pack temperature reference data based on the battery pack current state data and the environment data comprises the following steps: The current state data and environmental data of the battery pack are compared with the state matching data of each battery pack stored in the database to obtain the battery comparison coefficient. The battery pack state matching data includes discharge matching current, battery pack radiator matching wind force, environmental matching temperature and environmental matching humidity. The calculation formula of the battery comparison coefficient is: σ d =and |SA-CA|+|SdA-CdA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1); In the formula, σ d is the battery comparison coefficient, CA is the discharge matching current, CdA is the battery pack radiator matching wind force, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SA is the current discharge current, SdA is the current battery pack radiator wind force, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant; Obtaining the battery pack state matching data corresponding to the minimum battery comparison coefficient and the battery pack temperature reference data stored in the database; The explosion-proof drive motor monitoring module is used to check the safety status of the explosion-proof drive motor of the electric vehicle in combination with the environmental data, and send the motor inspection result to the chassis comprehensive monitoring module, wherein the motor inspection result includes the motor air tightness failure, the motor temperature abnormality and the motor temperature normality; Combined with environmental data, the safety status of the explosion-proof drive motor of the electric vehicle is checked, including the following steps: Check the air tightness of the explosion-proof drive motor housing to determine whether the air tightness is qualified: If the air tightness is unqualified, the motor inspection result sent to the chassis integrated monitoring module is that the motor air tightness is unqualified; If the air tightness is qualified, the current state data of the drive motor is obtained, and the current state data of the drive motor includes the current motor speed and the current motor radiator wind force; Based on the current state data and environmental data of the driving motor, the motor temperature reference data is obtained, wherein the motor temperature reference data includes the motor average temperature and the motor temperature distribution data, and the motor temperature distribution data includes the motor temperature at each designated position of the motor; Acquire actual motor temperature data, and fuse and analyze the motor temperature reference data with the actual motor temperature data to obtain a motor temperature coefficient, wherein the actual motor temperature data includes an actual motor average temperature and actual motor temperature distribution data, and the actual motor temperature distribution data includes the actual temperature of each designated position point of the motor; Determine whether the motor temperature coefficient is greater than the drive motor temperature determination threshold stored in the database: If it is greater, the motor inspection result sent to the chassis integrated monitoring module is abnormal motor temperature; If it is not greater than, the motor inspection result sent to the chassis integrated monitoring module is that the motor temperature is normal; The step of obtaining the motor temperature reference data based on the current state data and environmental data of the driving motor comprises the following steps: The current state data and environmental data of the driving motor are compared with the state matching data of each motor stored in the database to obtain the motor comparison coefficient. The motor state matching data includes the motor matching speed, the motor radiator matching wind force, the environmental matching temperature and the environmental matching humidity. The calculation formula of the motor comparison coefficient is: σ q =and |SZ-CZ|+|SqA-CqA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1); In the formula, σ q is the motor comparison coefficient, CZ is the motor matching speed, CqA is the motor radiator matching wind force, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SZ is the current motor speed, SqA is the current motor radiator wind force, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant; Obtaining the motor state matching data corresponding to the minimum motor comparison coefficient and the motor temperature reference data stored in the database; The explosion-proof electrical box monitoring module is used to check the safety status of the explosion-proof electrical box of the electric vehicle in combination with the environmental data, and send the electrical box inspection result to the chassis comprehensive monitoring module, and the electrical box inspection result includes the electrical box air tightness failure, the electrical box temperature abnormality and the electrical box temperature normality; Combined with environmental data, the safety status check of the explosion-proof electrical box of the electric vehicle includes the following steps: Check the air tightness of the explosion-proof electrical box to determine whether the air tightness is qualified: If the air tightness is unqualified, the electrical box inspection result sent to the chassis integrated monitoring module is that the electrical box air tightness is unqualified; If the air tightness is qualified, obtain the current state data of the electrical box, wherein the current state data of the electrical box includes the current average current of the IGBT and the current wind force of the radiator of the electrical box; Based on the current state data and environmental data of the electrical box, the electrical box temperature reference data is obtained, wherein the electrical box temperature reference data includes the average temperature of the electrical box and the electrical box temperature distribution data, wherein the electrical box temperature distribution data includes the temperature of each designated position of the electrical box; Acquire actual temperature data of the electrical box, and fuse and analyze the reference temperature data of the electrical box with the actual temperature data of the electrical box to obtain a temperature coefficient of the electrical box, wherein the actual temperature data of the electrical box includes an actual average temperature of the electrical box and actual temperature distribution data of the electrical box, and the actual temperature distribution data of the electrical box includes the actual temperature of each designated position point of the electrical box; Determine whether the electrical box temperature coefficient is greater than the electrical box temperature determination threshold stored in the database: If it is greater, the electrical box inspection result sent to the chassis integrated monitoring module is that the electrical box temperature is abnormal; If it is not greater than, the electrical box inspection result sent to the chassis integrated monitoring module is that the electrical box temperature is normal; The method of obtaining the electrical box temperature reference data based on the electrical box current state data and environmental data comprises the following steps: The current state data and environmental data of the electrical box are compared with the state matching data of each electrical box stored in the database to obtain the electrical box comparison coefficient. The battery pack state matching data includes the average matching current of IGBT, the matching wind force of the electrical box radiator, the environmental matching temperature and the environmental matching humidity. The calculation formula of the electrical box comparison coefficient is: σ x =and |SX-CX|+|SxA-CxA| +ln(|Hsw-Hcw|+|Hss-Hcs|+1); In the formula, σ x is the electrical box comparison coefficient, CX is the average matching current of IGBT, CxA is the matching wind speed of the electrical box radiator, Hcw is the environment matching temperature, Hcs is the environment matching humidity, SX is the current IGBT average current, SxA is the current electrical box radiator wind speed, Hsw is the environment temperature, Hss is the environment humidity, and e is a natural constant; Obtain the battery pack state matching data corresponding to the minimum electrical box comparison coefficient and the electrical box temperature reference data stored in the database; The chassis comprehensive monitoring module is used to control the electric vehicle based on the battery inspection results, the motor inspection results and the electrical box inspection results; The electric vehicle is controlled based on the battery inspection result, the motor inspection result and the electrical box inspection result, including the following steps: If a signal is received that the battery sealing box is unqualified or the battery pack temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; If the motor air tightness is unqualified or the motor temperature is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; If the air tightness of the electrical box is unqualified or the temperature of the electrical box is abnormal, a braking signal is sent to the control subsystem of the electric vehicle chassis to brake the explosion-proof electric vehicle through the braking subsystem; If the temperature of the battery pack is normal, the temperature of the motor is normal, and the temperature of the electrical box is normal, then obtaining comprehensive evaluation data, the comprehensive evaluation data including the temperature coefficient of the battery pack, the temperature coefficient of the motor, and the temperature coefficient of the electrical box; The comprehensive state of the explosion-proof electric vehicle chassis is evaluated based on the comprehensive evaluation data to obtain a comprehensive evaluation index, which is used to represent the comprehensive temperature state of the explosion-proof electric vehicle chassis.

2. The underground explosion-proof electric vehicle chassis system for mining according to claim 1 is characterized in that: The calculation formula of the comprehensive evaluation index is as follows: ZHp=α1*Dwx+α2*Qwx+α3*Xwx; Wherein, ZHp is the comprehensive evaluation index, Dwx is the battery pack temperature coefficient, Qwx is the motor temperature coefficient, Xwx is the electrical box temperature coefficient, α1 is the weight factor of Dwx set in the database, α2 is the weight factor of Qwx set in the database, and α3 is the weight factor of Xwx set in the database.

3. Explosion-proof electric vehicle, characterized in that: An underground explosion-proof electric vehicle chassis system for mining as claimed in any one of claims 1 to 2 is used, comprising an electric vehicle chassis (2) and a carriage (1) arranged on the electric vehicle chassis (2), wherein the electric vehicle chassis (2) comprises a chassis frame (201), a power supply system (202), a drive system (203), an electrical system (204), a control system (205) and a brake system (206), and the power supply system (202), the drive system (203), the electrical system (204), the control system (205) and the brake system (206) are all installed on the chassis frame (201); The control system (205) includes an underground environment monitoring subsystem, an explosion-proof battery pack monitoring subsystem, an explosion-proof drive motor monitoring subsystem, an explosion-proof electrical box monitoring subsystem and a chassis comprehensive monitoring subsystem, wherein: The underground environment monitoring subsystem is used to obtain the environmental data of the location of the mining explosion-proof electric vehicle underground, and the environmental data includes the environmental temperature and the environmental humidity; The explosion-proof battery pack monitoring subsystem is used to perform a safety status check on the explosion-proof battery pack of the power supply system (202) in combination with environmental data, and send the battery inspection result to the chassis comprehensive monitoring subsystem, wherein the battery inspection result includes an unqualified battery sealing box, an abnormal battery pack temperature, and a normal battery pack temperature; The explosion-proof drive motor monitoring subsystem is used to perform a safety status check on the explosion-proof drive motor of the drive system (203) in combination with environmental data, and send the motor inspection result to the chassis comprehensive monitoring subsystem, wherein the motor inspection result includes motor air tightness failure, motor temperature abnormality, and motor temperature normality; The explosion-proof electrical box monitoring subsystem is used to check the safety status of the explosion-proof electrical box of the electrical system (204) in combination with the environmental data, and send the electrical box inspection result to the chassis comprehensive monitoring subsystem, wherein the electrical box inspection result includes the electrical box air tightness failure, the electrical box temperature abnormality and the electrical box temperature normality; The chassis integrated monitoring subsystem is used to control the electric vehicle based on the battery inspection results, the motor inspection results and the electrical box inspection results.

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