Intelligent plunger pump temperature control method and system based on model predictive control

Abstract

According to the intelligent plunger pump temperature control method and system based on model predictive control, a thermodynamic model predictive control algorithm is introduced, key parameters such as the oil temperature of a plunger pump body, the water temperature of a water tank and the environment temperature are brought into a unified calculation model, and cooperative closed-loop control over a heating plate, a semiconductor chilling plate and a circulating pump is achieved. By constructing the heat balance equation of the lumped heat capacity system and solving the rolling optimization problem in the limited time domain, the heat load change of the plunger pump can be accurately predicted and adjusted in advance, the oil temperature is always stabilized in the preset target interval, and the temperature control precision is remarkably improved; meanwhile, mutual exclusion constraints of heating and refrigerating power are set, and weights are dynamically adjusted and optimized according to working conditions, so that meaningless consumption of energy is effectively avoided, and the operation cost of equipment is reduced; in addition, according to the control method, preheating, cooling and energy-saving modes can be automatically recognized, so that the plunger pump is rapidly started in the severe cold environment and stably operates in the high-temperature environment.

Description

Technical Field

[0001] This invention relates to the field of plunger pump technology, and in particular to an intelligent temperature control method and system for plunger pumps based on model predictive control. Background Technology

[0002] Fracturing trucks are core equipment in shale oil and gas extraction. Driven by an engine on the truck platform, they inject high-pressure, high-volume fracturing fluid into the well to break up the formation. The plunger pump, as the core actuator of the fracturing pump, relies on the reciprocating motion of the plunger within the cylinder to achieve oil suction and pressure. It boasts advantages such as high rated pressure and convenient flow rate adjustment, and is widely used in high-pressure, high-flow-rate operations. During fracturing operations, plunger pumps typically need to operate continuously and under heavy load for tens of hours or even days. The lubricating oil inside the pump and the pump body itself generate a large amount of heat due to high pressure and high-speed friction. Simultaneously, the fracturing truck operates in a complex environment, potentially facing both high surface temperatures in summer and severe cold in winter, posing a significant challenge to the thermal management of the plunger pump.

[0003] Existing thermal management solutions for plunger pumps, such as the solution disclosed in utility model patent CN 212202432 U, mainly achieve cooling or preheating of the plunger pump by installing a heating plate and a semiconductor cooling chip in the water tank and using a circulating pump to circulate water to the circulation tanks at the front and rear ends of the plunger pump. This solution incorporates staggered first and second guide plates in the circulation tank to guide the water flow evenly, and connects the circulation tank to the oil storage chamber of the plunger pump via a heat-conducting rod, thereby improving heat exchange efficiency. However, this solution still has significant shortcomings in practical applications: First, its control method is open-loop, meaning that cooling or heating is activated solely based on the operator's subjective judgment or a simple temperature threshold, failing to dynamically adjust the control quantity according to the real-time heat load of the plunger pump, resulting in low temperature control accuracy and large fluctuations; second, the heating and cooling devices often operate independently, lacking coordinated optimization, and exhibiting lag in response during operating condition switching, leading not only to high energy consumption but also potential energy waste from simultaneous heating and cooling; finally, this solution cannot predict future heat load changes in the plunger pump, and when the load on the fracturing truck suddenly increases, the oil temperature is prone to exceeding limits, posing safety risks such as seal failure, lubricating oil carbonization, and even equipment damage.

[0004] Therefore, how to design a precise, coordinated, and energy-saving plunger pump temperature control method while retaining the existing efficient heat exchange mechanical structure, so that it can predict heat load changes based on real-time operating conditions and automatically optimize the control strategy, is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a model predictive control-based intelligent temperature control method and system for plunger pumps to solve the problems existing in the prior art.

[0006] To achieve the above objectives, the present invention provides the following solution: This invention provides a model predictive control-based intelligent temperature control method for plunger pumps, applied to the temperature control system of plunger pumps used in fracturing vehicles. The plunger pump includes a plunger pump body, a circulation tank, a water tank, a circulation pump, a heating plate, and a semiconductor cooling chip. The control method includes: Obtain real-time oil temperature data and real-time water temperature data of the plunger pump body; Based on the real-time oil temperature data, the real-time water tank temperature data, and the preset target oil temperature range, power control commands and flow control commands are generated using a thermodynamic model predictive control algorithm. According to the power control command, control the start / stop and output power of the heating plate and / or the semiconductor cooling chip; According to the flow control command, the rotational speed of the circulating pump is controlled to adjust the circulating water flow rate.

[0007] Preferably, acquiring real-time oil temperature data of the plunger pump body and real-time water temperature data of the water tank includes: The real-time oil temperature data is obtained by a first temperature sensor located in the oil reservoir of the plunger pump body. The real-time water temperature data of the water tank is obtained by a second temperature sensor installed inside the water tank.

[0008] Preferably, the model construction method of the thermodynamic model predictive control algorithm includes: The plunger pump body, lubricating oil, circulating water, and water tank are constructed as a lumped heat capacity system, and a heat balance equation is established: ; ; in, This is the equivalent heat capacity of the plunger pump body. The total heat capacity of the water tank and circulating water. This refers to the heat generated per unit time during the operation of the plunger pump. The equivalent thermal conductivity between the oil cavity and the circulating water. The equivalent thermal conductivity between the water tank and the environment. The cooling power of the semiconductor thermoelectric cooler. This refers to the heating power of the heating plate. This refers to the real-time temperature of the lubricating oil. This refers to the real-time temperature of the circulating water in the water tank. The ambient temperature; The heat balance equation is discretized to obtain the prediction model.

[0009] Preferably, based on the real-time oil temperature data, the real-time water tank temperature data, and the preset target oil temperature range, a power control command and a flow control command are generated using a thermodynamic model predictive control algorithm, including: In each control cycle, based on the current real-time oil temperature data and the real-time water tank temperature data, the following optimization problem is solved to obtain the optimal cooling power and heating power: ; in, To predict the time domain, For the target oil temperature, To control the input, and These are the state weight matrix and the control weight matrix, respectively. The solution process satisfies the following constraints: .

[0010] Preferably, the control method further includes: Acquire real-time ambient temperature data; The operating mode is automatically identified based on the real-time ambient temperature data and the real-time oil temperature data. When the real-time oil temperature data is lower than the preset lower limit and the real-time ambient temperature data is lower than the preset ambient threshold, the weight of heating power is increased in the optimization problem; when the real-time oil temperature data is higher than the preset upper limit, the weight of cooling power is increased in the optimization problem.

[0011] Preferably, the control method further includes: Obtain real-time data of the outlet flow rate of the circulating pump; The speed of the circulating pump is adjusted according to the flow control command so that the real-time data of the outlet flow rate matches the preset target flow rate value. The target flow rate value is determined based on the heat exchange efficiency mapping relationship according to the current cooling power or heating power.

[0012] This invention also provides an intelligent temperature control system for a plunger pump based on model predictive control, comprising: The sensing unit is used to acquire real-time oil temperature data of the plunger pump body and real-time water temperature data of the water tank. The execution unit includes a heating plate, a semiconductor cooling chip, and a circulating pump; The controller is electrically connected to the sensing unit and the execution unit respectively, and the controller is used to execute the intelligent temperature control method for plunger pump based on model predictive control as described in any one of claims 1 to 6.

[0013] Preferably, the sensing unit includes: The first temperature sensor is located in the oil storage chamber of the plunger pump body and is used to acquire real-time oil temperature data. A second temperature sensor is installed inside the water tank to acquire real-time water temperature data of the water tank. An ambient temperature sensor is located on the outside of the plunger pump body to acquire real-time ambient temperature data. A flow sensor is installed at the outlet of the circulating pump to acquire real-time data of the outlet flow rate.

[0014] Preferably, the controller includes: The model building module is used to construct the plunger pump body, lubricating oil, circulating water and water tank into a lumped heat capacity system, and to establish the heat balance equation and discretized prediction model; The rolling optimization module is used to solve a preset optimization problem based on the current state in each control cycle to obtain the optimal cooling power and heating power. The pattern recognition module is used to identify the working mode based on real-time ambient temperature data and real-time oil temperature data, and dynamically adjust the weight matrix of the optimization problem.

[0015] The present invention also provides a plunger pump for fracturing vehicles, comprising: The plunger pump body has an internal oil reservoir. A circulation box is located at the front and rear ends of the plunger pump body. The circulation box is provided with staggered first and second guide plates. The circulation box and the oil storage chamber are thermally coupled through a heat-conducting rod. A water tank is located at the top of the plunger pump body, and a heating plate and a semiconductor cooling chip are provided inside the water tank; A circulating pump, the input end of which is connected to the water tank, and the output end of which is connected to the circulating tank; And a model predictive control-based intelligent temperature control system for plunger pumps.

[0016] The present invention achieves the following beneficial technical effects compared to the prior art: This invention provides an intelligent temperature control method and system for plunger pumps based on model predictive control. While retaining the original efficient heat exchange structure such as the circulation tank, guide vanes, and heat-conducting rods, it introduces a thermodynamic model predictive control algorithm to incorporate key parameters such as the oil temperature of the plunger pump body, the water temperature in the water tank, and the ambient temperature into a unified calculation model. This achieves coordinated closed-loop control of the heating plate, the thermoelectric cooler, and the circulation pump. By constructing the heat balance equation of the lumped heat capacity system and solving the rolling optimization problem in the finite time domain, this invention can accurately predict and proactively adjust the heat load changes of the plunger pump, keeping the oil temperature consistently within the preset target range, significantly improving temperature control accuracy. Simultaneously, by setting mutually exclusive constraints on heating and cooling power and dynamically adjusting the optimization weights according to operating conditions, unnecessary energy consumption is effectively avoided, reducing equipment operating costs. Furthermore, the control method of this invention can automatically identify preheating, cooling, and energy-saving modes, enabling the plunger pump to start quickly in frosting environments and operate stably in high-temperature environments, greatly improving the operational reliability and service life of the plunger pump in different climatic conditions. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 Flowchart of the intelligent temperature control method for plunger pumps based on model predictive control provided by the present invention; Figure 2 The architecture diagram of the intelligent temperature control system for plunger pumps based on model predictive control provided by this invention is shown. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] The purpose of this invention is to provide a model predictive control-based intelligent temperature control method and system for plunger pumps to solve the problems existing in the prior art.

[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] Example 1: Please see Figure 1 This invention provides a model predictive control-based intelligent temperature control method for a plunger pump, applied to the temperature control system of a plunger pump used in fracturing vehicles. The plunger pump includes a plunger pump body, a circulation tank, a water tank, a circulation pump, a heating plate, and a semiconductor cooling chip (i.e., a high-efficiency fracturing vehicle plunger pump disclosed in Chinese Patent CN202021295209.2). The plunger pump body has an oil storage chamber. The circulation tank is installed at the front and rear ends of the plunger pump body, and contains staggered first and second guide plates. Thermal coupling between the circulation tank and the oil storage chamber is achieved through a heat-conducting rod. The water tank is installed at the top of the plunger pump body and contains a heating plate and a semiconductor cooling chip. The input end of the circulation pump is connected to the water tank, and the output end is connected to the circulation tank, used to drive the circulating water to flow between the water tank and the circulation tank. The above mechanical structure is prior art. This invention, based on this, introduces an intelligent temperature control system to achieve precise and coordinated closed-loop control.

[0023] like Figure 1 As shown, the control method includes the following steps: Step S1: Obtain real-time status data.

[0024] Real-time oil temperature data is acquired via a first temperature sensor located within the oil reservoir of the plunger pump body; real-time water temperature data is acquired via a second temperature sensor located within the water tank; real-time ambient temperature data is acquired via an ambient temperature sensor located outside the plunger pump body; and real-time circulating water outlet flow rate data is acquired via a flow sensor located at the outlet of the circulating pump. All of these sensors are electrically connected to the controller to transmit the acquired real-time data to the controller.

[0025] Step S2: Construct a thermodynamic prediction model.

[0026] The controller integrates the plunger pump body, lubricating oil, circulating water, and water tank into a lumped heat capacity system. During operation, the lubricating oil in the oil reservoir generates heat due to high-pressure friction. Part of this heat is transferred to the circulating water in the tank via a heat-conducting rod, while the other part raises the oil temperature. Simultaneously, the circulating water exchanges heat with the heating plate or thermoelectric cooler in the water tank and with the environment. Based on the above thermodynamic mechanism, the following heat balance equation is established: Oil cavity heat balance equation: ; Heat balance equations for water tank and circulating water: ; in, This is the equivalent heat capacity of the plunger pump body. The total heat capacity of the water tank and circulating water. This refers to the heat generated per unit time during the operation of the plunger pump. The equivalent thermal conductivity between the oil cavity and the circulating water. The equivalent thermal conductivity between the water tank and the environment. The cooling power of the semiconductor thermoelectric cooler. This refers to the heating power of the heating plate. This refers to the real-time temperature of the lubricating oil. This refers to the real-time temperature of the circulating water in the water tank. The ambient temperature.

[0027] To implement the above model in a digital controller, the first-order forward Euler method is used to discretize the continuous differential equation. A sampling period of Δt (e.g., Δt = 5 seconds) is chosen, resulting in the discretized prediction model: ; ; in, For discrete time step index, , , , , , These represent the oil temperature, water temperature, ambient temperature, heat generation, cooling power, and heating power at step k, respectively.

[0028] Step S3: Rolling optimization based on model predictive control.

[0029] In each control cycle (i.e., each sampling time k), the controller solves the following finite-time optimization problem based on the current state to obtain the optimal cooling and heating power: Objective function: ; The solution process satisfies the following constraints: ; in, To predict the time domain, For the target oil temperature, To control the input, This represents the control input vector predicted at time k+i at time k; This represents the oil temperature predicted at time k+i from time k. Indicates a weighted quadratic form. This is the state weight matrix, used to adjust the penalty for oil temperature tracking error. The weight matrix is ​​used to adjust the penalty for control energy consumption. and These are the maximum allowable power for the semiconductor cooling chip and the heating plate, respectively.

[0030] The physical meaning of the above optimization problem is: under the premise that refrigeration and heating cannot be turned on simultaneously (the product is zero) and their respective power does not exceed the limit, the predicted oil temperature should be as close as possible to the target value, while minimizing the control input (i.e., the energy consumption of refrigeration or heating). By adjusting the weight matrices Q and R, a balance can be achieved between temperature control accuracy and energy saving.

[0031] After solving the above optimization problem, the optimal control sequence is obtained, and the first control quantity is output to the execution unit.

[0032] Step S4: Pattern recognition and adaptive weight adjustment.

[0033] To adapt to different operating conditions, the controller automatically identifies the operating mode based on real-time ambient temperature and oil temperature data, and dynamically adjusts the weight matrix in the optimization problem. Specifically: When the real-time oil temperature data is lower than the preset lower limit and the real-time ambient temperature data is lower than the preset ambient threshold, the weight of heating power is increased in the optimization problem; when the real-time oil temperature data is higher than the preset upper limit, the weight of cooling power is increased in the optimization problem.

[0034] Step S5: Flow coordination control.

[0035] While controlling the operation of the heating plate or thermoelectric cooler, the controller also determines the target flow rate based on the current output cooling or heating power and a pre-established heat exchange efficiency mapping relationship, and generates flow control commands. The circulating pump is a variable frequency pump, and its speed is adjusted by the controller. The controller acquires the outlet flow rate in real time through a flow sensor, compares it with the target flow rate, and adjusts the circulating pump speed using a closed-loop regulation method to ensure that the actual flow rate tracks the target flow rate. In this way, it ensures that the circulating water flow rate can match the current heat exchange demand when the heat load changes, further improving the system's response speed and energy efficiency.

[0036] Step S6: Execution and Feedback.

[0037] Based on the optimal control quantity obtained in step S3, the controller outputs a PWM signal to the heating plate and / or the thermoelectric cooler to control its output power. Simultaneously, based on the flow control command determined in step S5, it outputs a frequency converter control signal to the circulating pump to adjust its speed. After execution, in the next sampling cycle, the controller again acquires real-time status data through the sensor and repeats the above steps S1 to S5 to form a closed-loop control.

[0038] Example 2: Please see Figure 2This invention also provides a model predictive control-based intelligent temperature control system for a plunger pump, which includes a sensing unit, an execution unit, and a controller.

[0039] The sensing unit includes a first temperature sensor, a second temperature sensor, an ambient temperature sensor, and a flow sensor. The first temperature sensor is located inside the oil reservoir of the plunger pump body to acquire real-time oil temperature data; the second temperature sensor is located inside the water tank to acquire real-time water temperature data; the ambient temperature sensor is located outside the plunger pump body to acquire real-time ambient temperature data; and the flow sensor is located at the outlet of the circulating pump to acquire real-time outlet flow rate data.

[0040] The actuation unit includes a heating plate, a thermoelectric cooler, and a circulating pump. The heating plate and the thermoelectric cooler are both installed inside the water tank and are used to heat or cool the circulating water, respectively. The circulating pump is installed at the top of the water tank, with its input end connected to the water tank and its output end connected to the circulating tank, and is used to drive the flow of circulating water.

[0041] The controller is electrically connected to both the sensing unit and the execution unit. The controller includes a model building module, a rolling optimization module, and a pattern recognition module. The model building module constructs the plunger pump body, lubricating oil, circulating water, and water tank into a lumped heat capacity system, and establishes the aforementioned heat balance equation and discretized prediction model. The rolling optimization module solves a preset optimization problem based on the current state in each control cycle to obtain the optimal cooling and heating power. The pattern recognition module identifies the operating mode based on real-time ambient temperature and oil temperature data, and dynamically adjusts the weight matrix in the optimization problem. By executing the above control methods, the controller achieves intelligent regulation of the plunger pump temperature.

[0042] Example 3: This invention also provides a plunger pump for fracturing vehicles, comprising a plunger pump body, a circulation tank, a water tank, a circulation pump, and the aforementioned intelligent temperature control system for the plunger pump based on model predictive control. The plunger pump body has an oil storage chamber; the circulation tank is located at the front and rear ends of the plunger pump body, and contains staggered first and second guide plates; the circulation tank and the oil storage chamber are thermally coupled via a heat-conducting rod; the water tank is located at the top of the plunger pump body, and contains a heating plate and a semiconductor cooling chip; the input end of the circulation pump is connected to the water tank, and the output end is connected to the circulation tank. Through the combination of the above mechanical structure and the intelligent temperature control system, efficient and precise thermal management of the plunger pump is achieved.

[0043] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0044] It should be noted that the components mentioned in the above embodiments are all general standard parts or components known to those skilled in the art. Their structures and principles can be learned by those skilled in the art through technical manuals or conventional experimental methods.

[0045] This invention has illustrated its principles and implementation methods using specific examples. The descriptions of these embodiments are merely illustrative of the method and its core ideas; furthermore, those skilled in the art will recognize that modifications may be made to the specific implementation methods and application scope based on the principles of this invention. Therefore, the content of this specification should not be construed as limiting the invention.

Claims

1. A smart temperature control method for plunger pumps based on model predictive control, characterized in that, A temperature control system for a plunger pump used in fracturing vehicles, the plunger pump comprising a plunger pump body, a circulation tank, a water tank, a circulation pump, a heating plate, and a semiconductor cooling chip, the control method comprising: Obtain real-time oil temperature data and real-time water temperature data of the plunger pump body; Based on the real-time oil temperature data, the real-time water tank temperature data, and the preset target oil temperature range, power control commands and flow control commands are generated using a thermodynamic model predictive control algorithm. According to the power control command, control the start / stop and output power of the heating plate and / or the semiconductor cooling chip; According to the flow control command, the rotational speed of the circulating pump is controlled to adjust the circulating water flow rate.

2. The intelligent temperature control method for a plunger pump based on model predictive control according to claim 1, characterized in that, Acquiring real-time oil temperature data and real-time water temperature data of the plunger pump body, including: The real-time oil temperature data is obtained by a first temperature sensor located in the oil reservoir of the plunger pump body. The real-time water temperature data of the water tank is obtained by a second temperature sensor installed inside the water tank.

3. The intelligent temperature control method for a plunger pump based on model predictive control according to claim 1, characterized in that, The model construction method of the thermodynamic model predictive control algorithm includes: The plunger pump body, lubricating oil, circulating water, and water tank are constructed as a lumped heat capacity system, and a heat balance equation is established: ； ； in, This is the equivalent heat capacity of the plunger pump body. The total heat capacity of the water tank and circulating water. This refers to the heat generated per unit time during the operation of the plunger pump. The equivalent thermal conductivity between the oil cavity and the circulating water. The equivalent thermal conductivity between the water tank and the environment. The cooling power of the semiconductor thermoelectric cooler. This refers to the heating power of the heating plate. This refers to the real-time temperature of the lubricating oil. This refers to the real-time temperature of the circulating water in the water tank. Ambient temperature; The heat balance equation is discretized to obtain the prediction model.

4. The intelligent temperature control method for a plunger pump based on model predictive control according to claim 3, characterized in that, Based on the real-time oil temperature data, the real-time water tank temperature data, and the preset target oil temperature range, a power control command and a flow control command are generated using a thermodynamic model predictive control algorithm, including: In each control cycle, based on the current real-time oil temperature data and the real-time water tank temperature data, the following optimization problem is solved to obtain the optimal cooling power and heating power: ； in, To predict the time domain, For the target oil temperature, To control the input, and These are the state weight matrix and the control weight matrix, respectively. The solution process satisfies the following constraints: 。 5. The intelligent temperature control method for a plunger pump based on model predictive control according to claim 4, characterized in that, The control method further includes: Acquire real-time ambient temperature data; The operating mode is automatically identified based on the real-time ambient temperature data and the real-time oil temperature data. When the real-time oil temperature data is lower than the preset lower limit and the real-time ambient temperature data is lower than the preset ambient threshold, the weight of heating power is increased in the optimization problem; when the real-time oil temperature data is higher than the preset upper limit, the weight of cooling power is increased in the optimization problem.

6. The intelligent temperature control method for a plunger pump based on model predictive control according to claim 1, characterized in that, The control method further includes: Obtain real-time data of the outlet flow rate of the circulating pump; The speed of the circulating pump is adjusted according to the flow control command so that the real-time data of the outlet flow rate matches the preset target flow rate value. The target flow rate value is determined based on the heat exchange efficiency mapping relationship according to the current cooling power or heating power.

7. A model predictive control-based intelligent temperature control system for a plunger pump, characterized in that, include: The sensing unit is used to acquire real-time oil temperature data of the plunger pump body and real-time water temperature data of the water tank. The execution unit includes a heating plate, a semiconductor cooling chip, and a circulating pump; The controller is electrically connected to the sensing unit and the execution unit respectively, and the controller is used to execute the intelligent temperature control method for plunger pump based on model predictive control as described in any one of claims 1 to 6.

8. The intelligent temperature control system for a plunger pump based on model predictive control according to claim 7, characterized in that, The sensing unit includes: The first temperature sensor is located in the oil storage chamber of the plunger pump body and is used to acquire real-time oil temperature data. A second temperature sensor is installed inside the water tank to acquire real-time water temperature data of the water tank. An ambient temperature sensor is located on the outside of the plunger pump body to acquire real-time ambient temperature data. A flow sensor is installed at the outlet of the circulating pump to acquire real-time data of the outlet flow rate.

9. The intelligent temperature control system for a plunger pump based on model predictive control according to claim 8, characterized in that, The controller includes: The model building module is used to construct the plunger pump body, lubricating oil, circulating water and water tank into a lumped heat capacity system, and to establish the heat balance equation and discretized prediction model; The rolling optimization module is used to solve a preset optimization problem based on the current state in each control cycle to obtain the optimal cooling power and heating power. The pattern recognition module is used to identify the working mode based on real-time ambient temperature data and real-time oil temperature data, and dynamically adjust the weight matrix of the optimization problem.

10. A plunger pump for fracturing vehicles, characterized in that, include: The plunger pump body has an internal oil reservoir. A circulation box is located at the front and rear ends of the plunger pump body. The circulation box is provided with staggered first and second guide plates. The circulation box and the oil storage chamber are thermally coupled through a heat-conducting rod. A water tank is located at the top of the plunger pump body, and a heating plate and a semiconductor cooling chip are provided inside the water tank; A circulating pump, the input end of which is connected to the water tank, and the output end of which is connected to the circulating tank; And the intelligent temperature control system for plunger pumps based on model predictive control as described in claim 9.

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