Hydraulic heat dissipation control system with intelligent learning function and control method

Abstract

The invention discloses a hydraulic heat dissipation control system with an intelligent learning function and a control method. A control unit controls the rotating speed of a servo motor, a constant displacement pump pumps hydraulic oil to a proportional valve, an oil outlet of the proportional valve is connected with a hydraulic motor, and the hydraulic motor drives a fan to dissipate heat of an air inlet of an engine. Temperature closed-loop control and pressure closed-loop control are arranged in the control unit, and the control unit obtains the real-time temperature of an air inlet of the engine and adjusts the rotating speed of the servo motor to achieve temperature closed-loop control. And the rotating speed of the servo motor is adjusted according to the real-time pressure difference at the oil inlet and the oil outlet of the proportional valve until the real-time pressure difference is the same as the set pressure difference. The intelligent learning unit learns the relation between the input signal and the engine air inlet temperature and predicts the engine heat dissipation requirement based on the learning result; and the prediction instruction is sent to the control unit, and the control unit adjusts the rotating speed of the servo motor in advance in combination with real-time monitoring data. The system is rapid and accurate in heat dissipation response and high in system stability, and has self-adaption and prediction capabilities.

Description

Technical Field

[0001] This invention relates to the field of hydraulic control technology, and in particular to a hydraulic cooling control system and control method with intelligent learning function. Background Technology

[0002] All-terrain crane chassis typically consist of multiple systems, including power, electrical, hydraulic, travel, and braking systems. Among these, the cooling hydraulic system is a crucial component, playing a key role in heat dissipation for the power system. Because all-terrain crane engines have high power and generate significant heat, hydraulic motors typically drive fans for cooling. A load-sensitive pump within the hydraulic system pumps hydraulic oil to power the cooling fans. The control unit adjusts the output current of the proportional control valve group based on the target drive pressure of the cooling motors in each cooling circuit, thereby controlling the flow and pressure of the hydraulic oil to the cooling motors and regulating the fan speed to meet the cooling requirements under different operating conditions.

[0003] However, existing technologies have several problems. First, they suffer from sluggish heat dissipation response. Traditional cooling systems are typically controlled based on preset fixed parameters or a single temperature signal, failing to adjust cooling capacity in advance according to dynamic changes in engine load, driving conditions, and road surface conditions. Second, they exhibit poor stability, as the engine directly powers the pump, leading to fluctuations in flow and pressure within the system. Third, they lack control precision. Existing hydraulic cooling systems rely heavily on manual presets or simple open-loop control for pressure and flow regulation, lacking a closed-loop feedback mechanism to compensate for the impact of hydraulic oil leakage, load changes, and other factors on flow in real time. Fourth, they lack adaptive capabilities. Different drivers' habits (such as rapid acceleration, constant speed cruising, idling) and different road conditions (such as climbing hills, flat roads, and muddy roads) cause personalized and periodic changes in engine cooling needs, which traditional systems cannot learn and adapt to, making it difficult to achieve "on-demand cooling." Summary of the Invention

[0004] Purpose of the invention: The purpose of this invention is to overcome the shortcomings of the prior art and provide a hydraulic cooling control system and control method with intelligent learning function. Through dual closed-loop control (temperature closed loop and pressure closed loop) and intelligent learning prediction, the engine cooling can be made more precise, energy-saving and adaptively adjusted.

[0005] Technical solution: The hydraulic cooling control system with intelligent learning function described in this invention includes a control unit, and further includes:

[0006] The servo motor and the fixed displacement pump are controlled by the control unit. The speed of the servo motor is controlled to provide power to the fixed displacement pump to pump hydraulic oil.

[0007] The flow control unit includes a proportional valve electrically connected to the control unit, a first pressure sensor disposed at the oil inlet of the proportional valve, and a second pressure sensor disposed at the oil outlet of the proportional valve.

[0008] The heat dissipation unit includes a hydraulic motor and a one-way valve. The hydraulic motor drives a fan to dissipate heat from the engine intake. The control unit calculates the pressure difference based on the pressure values ​​collected by the first pressure sensor and the second pressure sensor, and controls the flow rate of hydraulic oil to the hydraulic motor through the proportional valve in combination with the set pressure difference value.

[0009] The intelligent learning unit is used to learn and predict driving behavior. The predictive commands it issues are controlled by the control unit in combination with real-time monitoring data to control the operation of each component.

[0010] A temperature sensor is installed at the engine intake to collect the engine intake temperature in real time; the control unit has built-in temperature closed-loop control and pressure closed-loop control.

[0011] Furthermore, a temperature sensor is installed at the engine air intake. The temperature closed-loop control is to obtain the real-time temperature of the engine air intake collected by the temperature sensor from the control unit and adjust the speed of the servo motor.

[0012] Furthermore, the pressure closed-loop control involves the first pressure sensor collecting the pressure at the inlet of the proportional valve, the second pressure sensor collecting the pressure at the outlet of the proportional valve, the control unit calculating the real-time pressure difference between the two, and adjusting the speed of the servo motor according to the real-time pressure difference to make the real-time pressure difference the same as the set pressure difference.

[0013] Furthermore, the input end of the servo motor is connected to a voltage regulator, the flow control unit also includes a damping orifice, one end of the check valve is connected to the oil tank, and the other end is connected to the hydraulic motor.

[0014] Based on a hydraulic cooling control system with intelligent learning function, the present invention also provides a hydraulic cooling control method, including:

[0015] Set the target temperature range for the engine intake port and set the pressure difference between the proportional valve inlet and outlet.

[0016] The control unit controls the speed of the servo motor according to the initial requirements, drives the fixed displacement pump to work, and pumps hydraulic oil to the flow control unit;

[0017] The speed of the servo motor is adjusted by pressure closed-loop control, the flow is stabilized by damping orifice, and the flow of hydraulic oil reaching the hydraulic motor through the proportional valve is controlled.

[0018] The real-time temperature collected by the temperature sensor at the engine intake is obtained and combined with the set target temperature range. The speed of the servo motor is further adjusted through temperature closed-loop control to ensure that the engine intake temperature is maintained within the target range.

[0019] The intelligent learning unit learns the relationship between the input signal and the engine intake temperature, and predicts the engine cooling demand based on the learning results. The intelligent learning unit sends the prediction command to the control unit, which combines the real-time monitoring data to adjust the servo motor speed in advance.

[0020] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages:

[0021] (1) Rapid and precise heat dissipation response: Through dual closed-loop control of temperature closed loop and pressure closed loop, the influence of temperature change and oil pressure fluctuation on heat dissipation effect is compensated in real time, ensuring that the engine intake temperature is stable within the target range, and improving engine working stability and power output efficiency.

[0022] (2) The system has high stability. Factors affecting the speed, such as throttle and engine status (energy source), are eliminated by the control of the voltage regulator and servo motor. The speed of the fixed pump is controlled by the servo motor, which has high speed stability and fast response to speed changes. The servo motor adjusts the speed in real time according to the heat dissipation requirements, which significantly reduces energy consumption.

[0023] (3) It has adaptive and predictive capabilities. The intelligent learning unit can learn the changing patterns of driving behavior, working conditions and road conditions, predict heat dissipation needs in advance and adjust the system state to avoid heat dissipation lag problems. It is especially suitable for complex driving scenarios. Attached Figure Description

[0024] Figure 1 This is the control logic diagram of the present invention;

[0025] Figure 2 This is a hydraulic schematic diagram of the present invention. Detailed Implementation

[0026] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0027] like Figure 1 and Figure 2 As shown in the embodiments of the present invention, a hydraulic cooling control system is provided, which is roughly divided into five parts: a control unit, a servo motor with a fixed displacement pump unit, a flow control unit, a cooling unit, and an intelligent learning unit. The control unit 1 can be a microcontroller with high-speed computing capabilities, and communicates with the servo motor with a fixed displacement pump, the flow control unit, and the intelligent learning unit.

[0028] The servo motor with fixed displacement pump unit includes a servo motor 2 and a fixed displacement pump 3. When the driver operates the throttle to input power demand, torque control coordinates the engine's power output, or drives a generator to generate electricity, providing current to the servo motor 2. The energy source for the servo motor 2 can be in various forms, including direct electrical connection or battery use. A voltage regulator 11 is installed between the servo motor 2 and the engine's output, through which current provides energy to the servo motor 2. The engine is not directly connected to the fixed displacement pump; this arrangement eliminates the influence of the energy source on the rotational speed. The rotational speed of the fixed displacement pump 3 is controlled by the servo motor 3, resulting in high speed stability and fast response to speed changes. Since the engine does not directly provide energy to the system, its noise is reduced, solving the problem of excessive noise during operation.

[0029] The flow control unit includes a proportional valve 4 electrically connected to the control unit, a first pressure sensor 5 located at the inlet of the proportional valve, a second pressure sensor 6 located at the outlet of the proportional valve, and a damping orifice 12. The cooling unit includes a hydraulic motor 7, a check valve 8, and a fan 9. The fixed displacement pump 3 pumps hydraulic oil through the relief valve 13 to the inlet of the proportional valve 4. The damping orifice 12 mitigates sudden changes in system pressure, preventing severe vibration of the valve core or damage to components due to pressure shocks. The flow through the damping orifice can either return directly to the oil tank or flow to the hydraulic oil cooler to participate in the oil cooling cycle. The control unit 1 controls the hydraulic flow to the hydraulic motor 7 through the proportional valve 4 via a signal from the proportional valve. The hydraulic motor 7 drives the fan 9 to cool the engine intake. The check valve 8 is used to replenish oil after the hydraulic motor and fan stop working, ensuring that the hydraulic lines are not sucked into the air. A temperature sensor is installed at the engine intake to collect the engine intake temperature in real time. Using the temperature closed-loop control built into the control unit 1, the speed of the servo motor 2 is adjusted to achieve real-time temperature control of the engine intake. To further improve the control accuracy of the engine intake temperature, a speed sensor can be added to the fan, and the speed sensor data can be transmitted to the control unit. The voltage regulator 11 ensures the stable speed of the servo motor 2, the damping orifice 12 suppresses flow fluctuations, and the one-way valve 8 prevents hydraulic oil backflow. The synergistic effect of these components enhances the system's anti-interference capability and service life.

[0030] The control unit 1 also incorporates pressure closed-loop control. The first pressure sensor 5 collects the pressure at the inlet of the proportional valve, and the second pressure sensor 6 collects the pressure at the outlet of the proportional valve. The control unit 1 calculates the real-time pressure difference between the two sensors and adjusts the speed of the servo motor 2 based on this real-time pressure difference to match the set pressure difference. When the pressure difference between the inlet and outlet of the proportional valve 4 is constant, the flow rate through the proportional valve 4 is positively correlated with the input signal of the control unit 1, meaning the flow rate through the proportional valve 4 is the value determined by the control unit 1. This ensures that the speed of the hydraulic motor 7 is the value required by the system, and the speed of the fan 9 corresponds to the speed of the hydraulic motor 7. Ultimately, this makes the engine intake temperature positively correlated with the control signal from the control unit 1 to the proportional valve 4. Through dual closed-loop control of temperature and pressure, the effects of temperature changes and oil pressure fluctuations on heat dissipation are compensated in real time, ensuring that the engine intake temperature remains stable within the target range, improving engine operating stability and power output efficiency, and providing rapid and precise heat dissipation response.

[0031] Furthermore, the intelligent learning unit learns and predicts driving behavior, autonomously learning the driver's driving habits and the engine intake air temperature corresponding to various operating conditions, adjusting in advance to keep the engine in good working condition and save energy. The predictive commands issued by the intelligent learning unit are used by the control unit 1 in conjunction with real-time monitored data to control the operation of various components.

[0032] In an embodiment of the present invention, a hydraulic cooling control method is also proposed, applied to the hydraulic cooling control system with intelligent learning function as described above. The hydraulic cooling control method includes:

[0033] Set the target temperature range for the engine intake port and the set pressure difference between the oil inlet and outlet of the proportional valve; the control unit 1 receives the initialization command and completes the system self-test, including the status detection of each sensor, servo motor 2, and proportional valve 4; at the same time, according to the engine model and working requirements, set the target temperature range for the engine intake port and the set pressure difference between the oil inlet and outlet of the proportional valve 4.

[0034] The control unit controls the speed of the servo motor according to the initial requirements, driving the fixed displacement pump to pump hydraulic oil to the flow control unit. Based on the initial cooling requirements after engine start-up, the control unit 1 can adjust the servo motor speed to zero to shut off the cooling fan during startup or in cold environments, ensuring the engine intake temperature is established. An initial speed control signal is output to servo motor 2, controlling it to operate at the initial speed. Servo motor 2 drives the fixed displacement pump 3, which pressurizes the hydraulic oil in the tank and delivers it to the inlet of the proportional valve 4 of the flow control unit.

[0035] The pressure closed-loop control regulates the flow rate, adjusting the speed of the servo motor. A damping orifice assists in stabilizing the flow, controlling the hydraulic oil flow to the hydraulic motor through the proportional valve. The first pressure sensor 5 collects the inlet pressure P1 of the proportional valve 4 in real time, and the second pressure sensor 6 collects the outlet pressure P2 of the proportional valve 4 in real time, transmitting P1 and P2 to the control unit 1. The control unit 1 calculates the real-time pressure difference ΔP = P1 - P2 and compares ΔP with the set pressure difference value ΔP0.

[0036] If ΔP > ΔP0: The control unit reduces the speed of the servo motor and decreases the output flow of the metering pump, so that ΔP decreases to ΔP0;

[0037] If ΔP < ΔP0: The control unit increases the speed of the servo motor and increases the output flow of the fixed displacement pump, so that ΔP increases to ΔP0;

[0038] During this process, the damping orifice 12 suppresses instantaneous fluctuations in hydraulic oil flow, ensuring a stable hydraulic oil flow through the proportional valve 4. The servo motor 2 adjusts its speed in real time according to heat dissipation requirements, and the pressure closed-loop control ensures stable oil circuit pressure differential, reducing hydraulic oil leakage and flow loss, and further reducing system energy consumption.

[0039] Temperature closed-loop control ensures precise heat dissipation. It acquires real-time temperature data from a temperature sensor at the engine intake, and combines this data with a set target temperature range. The closed-loop control further adjusts the servo motor speed to ensure the engine intake temperature remains within the target range. Temperature sensor 10 collects real-time temperature data from the engine intake and transmits it to control unit 1. Control unit 1 compares the real-time temperature with the target temperature range.

[0040] If the real-time temperature is greater than the maximum value of the target temperature range: Based on the pressure closed-loop control, the control unit 1 further increases the speed of the servo motor 2, increases the output flow of the fixed displacement pump 3, increases the flow of hydraulic oil entering the hydraulic motor 7 through the proportional valve 4, increases the speed of the hydraulic motor 7, increases the cooling air volume of the fan 9, and reduces the temperature of the engine intake port.

[0041] If the real-time temperature is less than the minimum value of the target temperature range: Based on the pressure closed-loop control, the control unit 1 further reduces the speed of the servo motor 2, reduces the output flow of the fixed displacement pump 3, reduces the flow of hydraulic oil entering the hydraulic motor 7 through the proportional valve 4, reduces the speed of the hydraulic motor 7, reduces the cooling air volume of the fan 9, and increases the temperature of the engine intake port.

[0042] By combining temperature closed-loop control and pressure closed-loop control, the engine intake temperature is ensured to remain stable within the target range.

[0043] The intelligent learning unit learns the relationship between input signals and engine intake temperature. Input signals include engine load variation patterns, driving conditions collected by onboard sensors, and road conditions, and are associated with real-time temperatures collected by temperature sensor 10. A mapping model of "input signal - heat dissipation demand - temperature change" is established. Through machine learning algorithms, this mapping model is trained and optimized to learn the changing patterns of engine heat dissipation demand under different combinations of input signals. Based on the learning results, the intelligent learning unit predicts the engine's heat dissipation demand within a preset time period and generates predictive control commands, which are sent to control unit 1. Control unit 1, combining real-time monitoring data, adjusts the servo motor speed in advance. Control unit 1, after correcting the predictive control commands based on real-time temperature, P1, and P2 data, adjusts the servo motor speed in advance, achieving "predictive" heat dissipation regulation and preventing fluctuations in engine intake temperature.

Claims

1. A hydraulic cooling control system with intelligent learning function, comprising a control unit (1), characterized in that, Also includes: The servo motor (2) and the metering pump (3) are controlled by the control unit (1) to control the speed of the servo motor (2) to provide power to the metering pump (3) and pump hydraulic oil. The flow control unit includes a proportional valve (4) electrically connected to the control unit (1), a first pressure sensor (5) disposed at the oil inlet of the proportional valve, and a second pressure sensor (6) disposed at the oil outlet of the proportional valve. The heat dissipation unit includes a hydraulic motor (7) and a check valve (8). The hydraulic motor (7) drives a fan (9) to dissipate heat from the engine air intake. The control unit (1) calculates the pressure difference based on the pressure values ​​collected by the first pressure sensor (5) and the second pressure sensor (6), and controls the flow rate of hydraulic oil reaching the hydraulic motor (7) through the proportional valve (4) in combination with the set pressure difference value. The intelligent learning unit is used to learn and predict driving behavior. The prediction instructions issued by the unit control (1) are combined with real-time monitoring data to control the operation of each component. A temperature sensor (10) is installed at the engine air intake to collect the engine air intake temperature in real time; The control unit (1) has built-in temperature closed-loop control and pressure closed-loop control.

2. The hydraulic cooling control system with intelligent learning function according to claim 1, characterized in that, The input terminal of the servo motor (2) is connected to a voltage regulator (11).

3. A hydraulic cooling control system with intelligent learning function according to claim 1, characterized in that, The flow control unit also includes a damping orifice (12).

4. A hydraulic cooling control system with intelligent learning function according to claim 1, characterized in that, The one-way valve (8) is connected to the oil tank at one end and to the hydraulic motor (7) at the other end.

5. A hydraulic cooling control system with intelligent learning function according to claim 1, characterized in that, The temperature closed-loop control is that the control unit (1) obtains the real-time temperature of the engine intake port collected by the temperature sensor (10) and adjusts the speed of the servo motor (2).

6. A hydraulic cooling control system with intelligent learning function according to claim 1, characterized in that, The pressure closed-loop control involves the first pressure sensor (5) collecting the oil inlet pressure of the proportional valve (4), the second pressure sensor (6) collecting the oil outlet pressure of the proportional valve (4), the control unit (1) calculating the real-time pressure difference between the two, and adjusting the speed of the servo motor (2) according to the real-time pressure difference so that the real-time pressure difference is the same as the set pressure difference.

7. A hydraulic cooling control method, characterized in that, Applied to the hydraulic cooling control system with intelligent learning function as described in claim 1, the cooling control method includes: Set the target temperature range of the engine intake port and set the set pressure difference between the oil inlet and outlet of the proportional valve (4); The control unit (1) controls the speed of the servo motor (2) according to the initial requirements, drives the metering pump (3) to work, and pumps hydraulic oil to the flow control unit; The speed of the servo motor (2) is adjusted by pressure closed-loop control, the damping orifice (11) helps stabilize the flow, and the flow of hydraulic oil reaching the hydraulic motor (7) through the proportional valve (4) is controlled. The real-time temperature collected by the temperature sensor (10) at the engine intake is obtained, and combined with the set target temperature range, the speed of the servo motor (2) is further adjusted through temperature closed-loop control to ensure that the engine intake temperature is maintained within the target range. The intelligent learning unit learns the relationship between the input signal and the engine intake temperature, and predicts the engine cooling demand based on the learning results; the intelligent learning unit sends the prediction command to the control unit, and the control unit (1) adjusts the speed of the servo motor (2) in advance by combining the real-time monitoring data.

8. The hydraulic cooling control method according to claim 7, characterized in that, The input signals include engine load variation patterns, driving conditions, and road conditions.

Images